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Data Science Courses In Gurgaon
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TOP 12 BEST DATA SCIENCE COURSES IN GURGAON
		Welcome to our list of the Top 12 Data Science Course Institutes in Gurgaon!
Gurgaon, officially Gurugram, is a thriving city in the northern Indian state of Haryana. Known as the Millennium City, it has rapidly transformed from a modest suburb of New Delhi into a major financial and technological hub.
Boasting a skyline adorned with skyscrapers, it hosts numerous multinational corporations, tech parks, and shopping malls. Gurgaon is a symbol of India’s economic growth, attracting a diverse population seeking employment opportunities. The city combines modern infrastructure with a rich cultural heritage, featuring upscale residential areas, educational institutions, and entertainment options. Despite rapid development, Gurgaon grapples with challenges such as traffic congestion and environmental concerns.
The future of Data Science Training in Gurgaon appears promising as the city continues its trajectory as a prominent business and technology hub. With a surge in demand for data-driven insights across industries like IT, finance, and healthcare, Gurgaon is likely to witness an increasing need for skilled data scientists.
As businesses embrace digital transformation, the role of data science in shaping strategic decisions and enhancing operational efficiency is set to grow. This trend indicates a positive outlook for professionals in Gurgaon’s data science landscape, making it a focal point for career opportunities and innovation in the evolving digital era.
This article will talk about the Top 12 Data Science Courses in Gurgaon, why these courses are important, and the benefits of taking them in Gurgaon, India so let’s start.
Comparison Chart: Top 12 Data Science Courses in Gurgaon with Placement.
If you are looking for the best and most reliable information regarding Data Science courses in Gurgaon, then you have come to the right place.
| Institute Rank | Name | Training Delivery Type | Offering Course Since | Fees | Placement Assistance | 
| 1 | Digiperform- Digital Career Academy | Online & Offline | 2013 | INR 30k-90k | 100%* | 
| 2 | Boston Institute of Analytics | Online & Offline | 2014 | INR 1,55,000 | 100% | 
| 3 | PST Analytics | Online | 2014 | INR 60,000 | 100% | 
| 4 | AnalytixLabs | Online | 2011 | INR 2,25,000 | 100% | 
| 5 | I Class Gyansetu | Online & Offline | 2013 | INR 1,00,000 | 100% | 
| 6 | Palin Analytics | Online & Offline | 2017 | INR 69,500 | 100% | 
| 7 | CTC | Online & Offline | 2018 | INR 70,000 | 100% | 
| 8 | Great Learning | Online | 2013 | INR 2,75,000 | 100% | 
| 9 | TCA | Online & Offline | 2009 | INR 35,000 | 100% | 
| 10 | Ducat | Online | 2000 | INR 40,000 | 100% | 
| 11 | Edvancer | Online | 2013 | INR 49,900 | 100% | 
| 12 | School Of Core AI | Offline | 2020 | INR 55,000 | 100% | 
What is Data Science and its Importance?
Data Science involves collecting, analyzing, and interpreting structured and unstructured data using scientific statistical methods, processes, and algorithms. It utilizes mathematical, statistical, computer science, and information science principles to uncover patterns, predict future outcomes, and inform decision-making.
Its significance is paramount, aiding businesses in understanding customer preferences for streamlined shopping experiences. The predictive capabilities of data science explain how our favorite apps seem attuned to our needs. Moreover, it plays a vital role in healthcare by helping doctors identify patterns in health data, leading to improved treatments. In essence, data science serves as a digital ally, transforming vast data into valuable insights that subtly enhance various aspects of our lives.
Top 12 Data Science Courses in Gurgaon
1. Digiperform
Digiperform stands out as the leading training provider in India, specializing in digital skills. Our extensive course curriculum is carefully crafted by a team of over 50 experts with backgrounds in the Data Science industry. We actively seek input and suggestions from 450 innovative businesses across Asia to ensure that our courses remain at the forefront of industry trends.
Our curriculum is thoughtfully designed to cover the skills required for roles in both small and large Data Science agencies, as well as companies with in-house Data Science teams. At Digiperform, we prioritize a hands-on learning approach, incorporating practical exercises, research, and assignments to provide you with a well-rounded and practical learning experience.

Why Choose Digiperform Online Data Science Course?
Choosing Digiperform’s Online Data Science Course is a smart decision for several reasons. Our learning experience is designed for user-friendliness, crafted by industry experts to ensure a smooth grasp of complex concepts.
The course is meticulously structured based on feedback from 450 businesses, guaranteeing its relevance in the ever-changing digital landscape. We embrace a hands-on approach, incorporating practical work, research, and assignments to provide a comprehensive learning journey.
Whether you come from a scientific, business, or non-technical background, our course is tailored for your success. Join us to unlock the realm of data science and embark on a rewarding learning adventure!
Data Science Online Course: Advantages
Enrolling in a Data Science Online Course offers numerous advantages for aspiring professionals. One key benefit is the flexibility it provides, allowing learners to balance their studies with existing commitments. The online format ensures accessibility from anywhere, breaking geographical barriers.
These courses often feature industry-relevant content, keeping participants abreast of the latest trends and technologies in the field. Interactive modules and hands-on assignments enhance practical skills, preparing students for real-world applications. Additionally, online forums and peer interactions foster a collaborative learning environment. With self-paced learning options and 24/7 access to resources, a Data Science Online Course empowers individuals to embark on a comprehensive and convenient educational journey.
Career Support :
Master the Craft with Cutting-Edge Curriculum:
- Forget outdated materials. We provide meticulously crafted presentations, documents, interactive exercises, quizzes, and real-world projects – all aligned with the latest industry trends and global standards.
Learn from Industry Veterans:
- Our trainers aren’t just teachers – they’re highly skilled professionals with an average of over 8 years of experience in leading data science fields. Gain insights directly from the trenches.
Chart Your Personalized Path to Success:
- Go beyond a one-size-fits-all approach. Our experts offer personalized career guidance, continuous online support, and weekly doubt-clearing sessions to help you achieve your specific goals.
24/7 Access to Your Learning Sanctuary:
- Our Learning Management System (LMS) is your round-the-clock hub for learning. Access lectures, training resources, and track your progress – learn anytime, anywhere.
Ace the Interview, Land the Job:
- Master the art of the data science interview. We’ll tailor preparation strategies to specific roles, equipping you with the knowledge and confidence to shine.
Guaranteed Job Placement Support:
- Don’t just get qualified, get hired. Our dedicated placement cell provides guaranteed assistance to help you land your dream data science job and launch your career.
Data Science Course Syllabus
| Module 1: Introduction to Data Science   | Introduction to the Industry & Buzzwords   Industrial application of data science   Introduction to different Data Science Techniques   Important Software & Tools   Career paths & growth in data science   | 
| Module 2: Introduction to Excel
   | Introduction to Excel- Interface, Sorting & Filtering,
   Excel Reporting- Basic & Conditional Formatting
   Essential Excel Formulae
   Layouts, Printing and Securing Files   | 
| Module 3: Introduction to Stats
   | Introduction to Statistics & It’s Applications   Different types of Data   Population vs Sample   Sampling Techniques   Intro: Inferential vs. descriptive statistics   | 
| Module 4: Descriptive Stats Using Excel Datasets   | Categorical Variables Visualization Using Excel Charts- FDT, Pie Charts, Bar Charts & Pareto   Numerical Variables Visualization of Frequency & Absolute Frequency- Using Histogram, Cross Table & Scatter Plot   Measure of Spread ( Mean, Mode , Median)   Measure of Variance( Skewness, SD, Variance,   Range, Coef. Of Variance, Bivariate Analysis, Covariance & Correlation)   | 
| Module 5: Inferential Stats Using Excel Datasets   | Introduction to Probability   Permutation & Combinations   Types of events   Normal distribution   Standard Normal distribution   Normal vs. Standard Normal distribution   Confidence Intervals & Z-Score   Hypothesis Testing & It’s Types   | 
| Module 6: Database Design & MySQL   | Relational Database theory & Introduction to SQL   MySQL Installation   Database Creation in the MySQL Workbench   Querying in MySQL   Joins and Set Operations   SQL Practice Case Study   Window Functions   Case Statements, Stored Routines and Cursors   Ø Query Optimisation and Best Practices     Ø Problem-Solving Using SQL   | 
| Module 7: Data Visualization Using Advanced Excel
   | Introduction   LOOKUP functions   Pivot Tables   WHATIF Analysis   Dashboard Creation   Recording Macros   Advanced Visualizations- PIVOT Charts, Sparklines, Waterfall Charts   Data Analysis ToolPak – Regression in Excel   | 
| Module 8: Data Visualization Using Tableau   | Introduction to Tableau   Introduction   What is Data Analytics?   Why Data Visualisation?   What is Tableau?   Why Tableau?   Tableau vs Excel and PowerBI   Exploratory and Explanatory Analysis   Getting started with Tableau   Visualizing and Analyzing data with Tableau – I   Introduction   Bar Charts   Line Charts and Filters   Area Charts   Box plots and Pivoting   Maps and Hierarchies   Pie Charts   Treemaps and Grouping   Dashboards   Visualizing and Analyzing Data with Tableau – II   Introduction   Joins and Splits   Numeric and String functions   Logical and Date functions   Histograms and parameters   Scatter Plots   Dual Axis Charts   Top N Parameters and Calculated Fields   Stacked bar Charts   Dashboards – II and Filter Actions   Storytelling   Summary   | 
| Module 9:  Python Programming
   | Installing Anaconda & Basics of Python   Introduction to programming languages   Compiler vs Interpreter   Getting Started With Python   Introduction to jupyter Notebooks   Identifiers, Keywords   Print function   Comment, Indentation   Data Types Functions   Understanding what are functions   Defining and calling functions   Local and global variables   Different types of arguments   Map,reduce,filter,lambda and recursive functions   Data Structures in Python   Introduction   Lists   Tuples   Sets   Dictionaries   Practice Exercise   Summary   Operator Input and Output   Different Arithmetic , logical and Relational operators   Input, Output function   Eval function   Format Function   Control Flow   If elif else statement   For and while loops   Break , continue and Pass statement   List and dictionary comprehensions   Functions   Understanding what are functions   Defining and calling functions   Local and global variables   Different types of arguments   Map,reduce,filter,lambda and recursive functions     File Handling   Purpose of file handling   Different function in file handling (open,read, write,close)   Different modes (r,w,a,r+,w+,a+)   With block   Exception Handling, OOPX & Regex   What is exception handling   Try, except, else and finally block   Different types of Exception   Concept of Oops   Different functions in Regex   Metacharacters in Regex   | 
| Module 10: Python For Data Science   | NumPy   Introduction to NumPy   Basics of NumPy   Operations Over 1-D Arrays   Practice Exercise I   Multidimensional Arrays   Creating NumPy Arrays   Mathematical Operations on NumPy   Mathematical Operations on NumPy II   Computation Times in NumPy vs Python Lists   Practice Exercise II   Pandas    Introduction to Pandas   Basics of Pandas   Pandas – Rows and Columns   Describing Data   Indexing and Slicing   Operations on Dataframes   Groupby and Aggregate Functions   Merging DataFrames   Pivot Tables   Practice Exercise   | 
| Module 11: Data Visualization Using Python- Matplotlib & Seaborn
   | Introduction to Data Visualisation with Matplotlib   Introduction to Matplotlib   The Necessity of Data Visualisation   Visualisations – Some Examples   Facts and Dimensions   Bar Graph   Scatter Plot   Line Graph and Histogram   Subplots   Choosing Plot Types   Summary   Data Visualisation: Case Study   Introduction   Case Study: Mind Map   Case Study Overview   Data Handling and Cleaning: I   Data Handling and Cleaning: II   Sanity Checks   Outliers Analysis with Boxplots   Histograms   Summary   Practice Questions   Data Visualization with Seaborn   Introduction   Distribution Plots   Styling Options   Pie – Chart and Bar Chart   Scatter Plots   Pair Plots   Revisiting Bar Graphs and Box Plots   Heatmaps   Line Charts   Stacked Bar Charts   Case Study Summary   Plotly   Practice Questions   | 
| Module 12: Exploratory Data Analysis   | Data Sourcing   Module Introduction   Introduction to EDA   Public and Private Data   Private Data   Public Data   Web Scraping-I   Web Scraping-II   Summary   Data Cleaning   Introduction   Data Types   Fixing the Rows and Columns   Impute/Remove Missing Values   Handling Outliers   Standardising Values   Fixing Invalid Values and Filter Data   Practice Questions   Summary   Univariate Analysis   Introduction to Univariate Analysis   Categorical Unordered Univariate Analysis   Categorical Ordered Univariate Analysis   Statistics on Numerical Features   Graded Questions   Summary   Bivariate and Multivariate Analysis   Introduction   Numeric – Numeric Analysis   Correlation vs Causation   Numerical – Categorical Analysis   Categorical – Categorical Analysis   Multivariate Analysis   Graded Questions   Summary   Module Summary   | 
| Module 13: Supervised Learning Model - Regression   | Introduction to Simple Linear Regression   Introduction to Simple Linear Regression   Introduction to machine learning   Regression line   Best fit line   Strength of simple linear regression   Simple linear regression in python   Assumptions of simple linear regression   Reading and understanding the data   Hypothesis testing in linear regression   Building a linear model   Residue analysis and predictions   Linear Regression using SKLearn   Multiple Linear Regression   Motivation-when one variable is not enough   Moving from SLR to MLR-new considerations   Multi collinearity   Dealing with categorical variables   Model assessment in comparison   Feature selection   Multiple Linear Regression in Python   Reading and understanding the data   Data preparation   Initial steps   Building the model I & II   Residue analysis and predictions   Variable selection using RFE   Industry Relevance of Linear Regression   Linear regression revision   Prediction versus projection   Media company case study   Exploratory data analysis   Model building - I, II & III   Assessing the model   Interpreting the results   | 
| Module 14: Supervised Learning Model - Classification   | Univariate Logistic Regression   Binary classification   Sigmoid curve   Finding the best fit sigmoid curve - I   Finding the best fit sigmoid curve - II   Odds and log Odds   Multivariate Logistic Regression - Model Building   Multivariate Logistic Regression - Model Building   Data cleaning and preparation - I & II   Building your first model   Feature elimination using RFE   Confusion metrics and accuracy   Manual feature elimination   Multivariate Logistic Regression - Model Evaluation   Multivariate Logistic Regression - Model Evaluation   Metrics beyond accuracy-sensitivity and specificity   Sensitivity and specificity in Python   Understanding ROC curve   ROC curve in python   Finding the optimal threshold   Model evaluation metrics - exercise   Precision and recall   Making predictions   Logistic Regression - Industry Applications - Part I   Getting familiar with logistic regression   Nuances of logistic regression-sample selection   Nuances of logistic regression-segmentation   Nuances of logistic impression-variable transformation-I, II & III   Logistic Regression: Industry Applications - Part II   Model evaluation - A second look   Model validation and importance of stability   Tracking of model performance over time   Logistic Regression - Industry Applications - Part II   Commonly face challenges in implementation of logistic regression   Model evaluation - A second look   Model validation and importance of stability   Tracking of model performance over time   | 
| Module 15: Advanced Machine Learning   | Unsupervised Learning: Clustering   Introduction to Clustering   K Means Clustering   Executing K Means in Python   Hierarchical Clustering   Business Problem Solving   Introduction to Business Problem Solving   Case Study Demonstrationchurn example   Practice Questions   Tree Models   Introduction to Decision Trees   Algorithms for Decision Tree Construction   Hyperparameter Tuning in Decision Trees   Ensembles and Random Forests   Time Series Forecasting - I (BA)   Introduction to Time Series   Smoothing Techniques   Time Series Forecasting - II (BA)   Introduction to AR Models   Building AR Models   Model Selection   Principles of Model Selection   Model Building and Evaluation   | 
| Module 16: AI- NLP, Neural Networks & Deep Learning   | Introduction to NLP   What is NLP?   History and evolution of NLP   Applications of NLP   Challenges in NLP   Overview of NLP pipeline   Corpus and Corpus Linguistics   NLTK Toolkit   Introduction to the NLTK toolkit   Preprocessing text data with NLTK   Basic NLP tasks using NLTK (e.g., Part-ofSpeech Tagging, Named Entity Recognition)   Stemming and Lemmatization   WordNet in NLTK   Chunking and Chinking   Sentiment Analysis with NLTK   Tokenization and Topic Modeling   Tokenization in NLP   Bag-of-Words representation   Topic Modeling with LDA   Latent Semantic Analysis   Word Embeddings   Sentiment Analysis Project:   Introduction to Sentiment Analysis   Sentiment Analysis using supervised and unsupervised methods   Building a Sentiment Analysis model with Python   Evaluating Sentiment Analysis models   AI vs Deep Learning vs ML   Introduction to Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL)   Applications of AI, ML, and DL   Differences between AI, ML and DL   The Concept of Neural Networks   Introduction to Neural Networks   Types of Neural Networks   Layers in Neural Networks   Activation Functions   Neural Networks - Feed-forward, Convolutional, Recurrent   Feed-forward Neural Networks   Convolutional Neural Networks   Recurrent Neural Networks   Applications of Neural Networks   Deep Learning Project   Building a Deep Learning model with Python   Image Classification with Convolutional Neural Networks   Natural Language Processing with Recurrent Neural Networks   | 
Data Science Projects and Assignments
Major Projects
Customer Lifetime Value Calculation: The project involves calculating the customer lifetime value using SQL to understand the revenue generated by a customer over their lifetime.
Customer Churn Prediction: This project involves building a predictive model using SQL to identify customers who are likely to churn based on their behavior and transaction history.
Interactive Dashboard for E-Commerce Sales: The project involves creating an interactive dashboard using Tableau & SQL to analyze retail sales data, identify trends, and make data-driven decisions.
Customer Segmentation Dashboard: This project involves creating a customer segmentation dashboard using Tableau to identify customer groups based on demographics, behavior, and purchasing patterns.
Movie Recommendation System: The project involves building a movie recommendation system using Python and its libraries such as Pandas, NumPy, and Scikit-Learn. The recommendation system will suggest movies based on user preferences and ratings.
Sentiment Analysis on Twitter Data: This project involves analyzing Twitter data using Python and its libraries such as NLTK and TextBlob to perform sentiment analysis and understand the overall sentiment of a particular topic.
Visualizing COVID-19 Data: The project involves visualizing COVID-19 data using Python and its libraries such as Matplotlib, Seaborn, and Plotly to understand the impact of the pandemic on different countries and regions.
Visualizing Stock Market Data: This project involves visualizing stock market data using Python and its libraries such as Pandas, Matplotlib, and Bokeh to understand the trends and patterns in stock prices over time.
Airbnb Data Analysis: The project involves performing exploratory data analysis on Airbnb data to understand the patterns in the pricing, availability, and quality of Airbnb listings in different cities.
Bike Sharing Data Analysis: This project involves performing exploratory data analysis on bike sharing data to understand the usage patterns of bikes in different cities and identify factors that influence bike usage.
House Price Prediction: The project involves building a regression model using Python and its libraries such as Scikit-Learn to predict the prices of houses based on their features such as location, size, and amenities.
Credit Risk Prediction: This project involves building a classification model using Python and its libraries such as Scikit-Learn to predict the credit risk of loan applicants based on their credit history and other factors.
Time Series Forecasting for Sales Data: The project involves building a time series forecasting model using advanced machine learning algorithms such as ARIMA and LSTM to predict future sales trends and identify factors that influence sales.
Sentiment Analysis on Product Reviews: The project involves building a sentiment analysis model using NLP techniques such as Word Embeddings and Recurrent Neural Networks (RNN) to analyze product reviews and understand the sentiment of customers towards different products.
Segmentation using Deep Learning: This project involves using advanced deep learning techniques such as Fully Convolutional Networks (FCN) and U-Net to perform image segmentation and identify objects in images.
Machine Translation using Transformers: This project involves building a machine translation model using advanced deep learning techniques such as Transformers to translate text from one language to another.
Case Studies & Assignments:
- Healthcare Customer Feedback Analysis
- Management Teams Dashboard Creation
- Retail Store Sales Report Analysis
- Software Firm Employee Data Analysis
- Industrial Data Sets Classification & Comparison
- Charts & Graphs: Frequency Distribution Table, Pie-charts, Pareto Diagram, Histogram, Scatter Plots, Heatmaps, Bar Graphs and many More.
- Patient Disease Probability Analysis Using Healthcare Data
- Car Model & Menu Item Data Combination & Configuration Probability Analysis
- Manufacturing & Product Launch Data Classification & Analysis
- Customer Complaint Resolution Analysis Using Normal Distribution Curves
- Product Rating & Employee Productivity Analysis Usign Z-Score
- New Product Need Analysis Using Hypothesis Testing
- Inventory Management & Customer Segmentation Systems Using Vlook up & Hlook Lookup
- Sales Trend & Staffing Plan Creation using Pivot Tables
- Pricing Strategy & Financial Model Creation Using What if Analysis
- Sales & Operations Dashboard Creation
- Healthcare & Construction Reporting Automation Using Macros
- Retail Sales Opportunity Analysis Using PIVOT Charts
- Accounting Firm Statement Analysis Using Sparklines & Waterfall Chart
- FMCG Marketing Spend to Sales Revenue Impact Analysis Using Regression Analysis
- Transportation Pricing Model Using Regression Analysis
Data Science Placements
100% * Placement Assistance Dedicated Placement Cell To Help You Land Your Dream Job

Data science course fees
Master Program in Data Science Fees: 30k-90k
Contact Information
Digiperform Corporate Office: C-30, Third Floor, Sector-2, Near Sec-15 Metro Station, Noida, Uttar Pradesh 201301, India
Email: contact@slategray-dove-520341.hostingersite.com
Phone: +91-8527-611-500
Website: slategray-dove-520341.hostingersite.com
2. Boston Institute of Analytics
The Boston Institute of Analytics stands as a leading global educational institution, renowned for delivering high-quality training in business analytics, business management, artificial intelligence, and emerging technologies. Industry-experienced instructors conduct classroom training for both students and working professionals. With training campuses strategically located in the US, UK, Europe, and Asia, their mission is to provide top-tier education in cutting-edge technologies on a global scale.
The BIA team comprises top experts in technology and management from around the world. These specialists and advisors possess highly specialized knowledge in areas such as business management, predictive analytics, and advanced technologies. BIA’s meticulously designed courses aim to empower students and professionals with the most sought-after skills in technology and business management, ensuring their readiness for the job market.
Consistently recognized as the premier training institute by reputable organizations such as Business Asia, Indian Analytics Forum, Analytics Insight, Avalon Global Research, IFC, and other well-known forums, BIA remains dedicated to delivering exceptional training and staying at the forefront of the industry.
Course Curriculum:
- Module 1- Data Science Essentials
- Module 2- Business Analytics & Data Visualization
- Module 3- Python Programming & Data Visualization Using Python
- Module 4- Exploratory Data Analysis
- Module 5- Predictive Modeling Using Python
- Module 6- Advanced Machine Learning & AI
Course Highlights:
- INDUSTRY APPROVED CURRICULUM
- BECOME INDUSTRY READY
- LEARN FROM EXPERIENCED INDUSTRY PROFESSIONALS
- LEARN FROM SCRATCH, OR NOT!
- HANDS-ON TRAINING
- 100% PLACEMENT ASSISTANCE
| Name | Data Science & Artificial Intelligence Course | 
| Course Duration | 6 Months | 
| Website | www.bostoninstituteofanalytics.org | 
| Address: | Truworx, PLATINA TOWER, Metro station, near Sikanderpur, A Block, DLF Phase 1, Sector 28, Gurugram, Haryana 122002 Mob: 088514 11511 | 
| Avg. Google Rating: | 5 | 
| Offering DS Training in Gurgaon Since: | 2014 | 
| Fees | INR 1,55,000 | 
| Branches in India: | Pune, Nagpur, Kolkata, Bangalore, Hyderabad, Chennai, Delhi, Noida, Gurugram | 
| Flagship Course Names: | 
 | 
| Exclusive Data Science Institute: | Yes | 
| Training Delivery Model | Online & Offline | 
3. PST Analytics
PST Analytics serves as a premier online institute for analytics certification training, with its base in Delhi and Gurgaon. Conducted through live instruction, the online training allows candidates to conveniently learn from the comfort of their homes. The institute caters to individuals at various levels, including beginners, professionals, and expert programmers, aiming to enhance and deepen their practical understanding of analytics.
As one of the largest providers of online training, PST Analytics has earned a reputation as a trustworthy and highly recommended institution for analytics training. The institute’s trainers possess the necessary expertise and extensive experience in analytics training, providing comprehensive knowledge to candidates, regardless of their proficiency level or chosen program.
In addition to analytics certification programs, PST Analytics offers domain language training in Python, R, SAS, Excel, SQL, Tableau, and Hadoop, further enriching the learning experience for participants.
Course Curriculum:
- Getting started with Excel
- Switching Between Sheets in a Workbook
- Using Excel Toolbars: Hiding, Displaying, and Moving Toolbars
- Switching Between Sheets in a Workbook
- Entering Date Values and using AutoComplete
- Inserting and Deleting Cells, Rows, and Columns
- Working with the Forms Menu
- Using Excel Toolbars: Hiding Displaying, and Moving Toolbars
- Creating and working with Charts
- Changing a Chart Type and Working with Pie Charts
- Data Analysis & Pivot Tables
- Basic SQL
- Advanced SQL
- Introduction to Data Science and Python
- Data Manipulation with Python
- Data Visualization
- Statistics and Exploratory Data Analysis
- Data Preprocessing and Feature Engineering
- Supervised Learning Algorithms
- Model Evaluation and Selection
- Unsupervised Learning Algorithms
- Dimensionality Reduction Techniques
- Ensemble Learning
- Neural Networks and Deep Learning
- Time Series Analysis and Forecasting
- Natural Language Processing (NLP)
- Model Deployment and productionization
- Model Interpretability and Explainability
- Ethics and Bias in Data Science
- Basic Tableau
- Data connectivity and navigation
- My first visual – Bar chart
- Time series, aggregation, and filters
- Other charts in Tableau
- Maps and scatter plot
- Joining and Data blending
- Advanced Tableau
- Advanced Table calculation
- Advanced data preparation + Analytics in Tableau
- Creating animations in Tableau
- Level of detail (LOD)
- Tableau Server
- Power BI Introduction
- Power Query
- M Language
- Data Modeling
- DAX
- DAX Functions Types
- Time Intelligence Functions Date and Time Functions
- Text Functions
- Logical Functions
- Math & Statistical Functions
- Filter Functions
- Report View User Interface
- Grouping and Binning Introduction
- Visualizations
- Power BI Service
- Creating Dashboards
- Basic Concepts
- Access Data
- Starting With Raw Data(Basics)
- Formats and Informats
- Starting With Raw Data( Beyond Basics)
- Mixing Styles of Input
- PDV: How the DATA Step Works
- Manipulating SAS Datasets
- Grouping Statements Using DO Groups
- Combining SAS Data Sets
- Transforming Data with SAS Functions
- Relevant base SAS procedures
- Generating Data with DO Loops
- Processing Variables with Arrays
- Analytics-An Introduction
- Data and Variables-An introduction
- Population and Sample-Sampling Techniques
- Normal Distribution & Central Limit Theorem
- Exploratory Data Analysis
- Data Visualization
- Hypothesis Testing
- Campaign Management
- One Sample T-Test
- Two sample T-test and sides of a test
- Anova-Analysis of Variance
- Anova-hPost Hoc Analysis Test
- Correlation-Different types
- Regression -Exploring the algorithm
- Regression – Model Building
- Logistic Regression-Introduction
- Predictive modeling using Logistic Regression
- Logistic Regression-Model Building
- Logistic Regression-Measure model performance
- Logistic Regression-Industry view and applications
- SAS SQL 1: Essentials
- Displaying Query Results
- SQL Joins
- Subqueries
- Set Operators
- Creating Tables and Views
- Advanced PROC SQL Features
- SAS Macro Language
- Macro Variables
- Macro Definitions
- DATA Step and SQL Interfaces
- Macro Programs
- Advanced SAS Programming Techniques
- Controlling I/O Processing and Memory
- Accessing Observations
- Using DATA Step Arrays
- Using DATA Step Hash and Hiter Objects
- Combining Data Horizontally
- Expert Programmer Techniques
- Project
Course Highlights:
- Analytics on SAS Certification- Complete program
- SAS Analytics Certification
- Real-time driven projects
- Career Rise
| Name | Data Science ML Analytics AI Visualization Big Data | 
| Course Duration | 400 Hrs. | 
| Website | www.pstanalytics.com | 
| Address: | 18/5, near Guru Dronacharya Metro Station, S Block, DLF Phase 3, Gurugram, Haryana 122001 Mob: 098115 52060 | 
| Avg. Google Rating: | 5 | 
| Offering DS Training in Gurgaon Since: | 2014 | 
| Fees | INR 60,000 | 
| Branches in India: | Delhi, Gurgaon | 
| Flagship Course Names: | 
 | 
| Exclusive Data Science Institute: | Yes | 
| Training Delivery Model | Online | 
4. AnalytixLabs
AnalytixLabs pioneers in Data Science courses since 2011. It is widely acclaimed and known for high-quality training programs designed and delivered by industry experts themselves. After establishing ourselves as the top analytics training institute in India, we steadily progressed to earn the same reputation globally based on our stellar record and student satisfaction. Our students are placed in leading companies across industries like Accenture, American Express, AbsolutData, Axtria, Bank of America, and McKinsey. We are focused on helping our clients develop skills in basic and advanced analytics to enable them to emerge as “Industry-ready” professionals and enhance their career opportunities.
Course Curriculum:
Term 1:
- Orientation – Setting up for success
- Problem-Solving – A structured approach to problem-solving
- Business Intelligence, Analytics & Data Visualization (using EXCEL & POWER BI)
- Exploratory Data Analysis & Data Management (RDBMS – ETL – SQL for Data Science – SQL on Cloud)
Term 2:
- Python for Analytics – Statistical Analysis and Modelling using Python
- Predictive Modelling & ML Using Python
Term 3:
- Scalable Data Science
- Data Science in Practice – Industry Capstone Project work
- Data Science Applications – Industries & Functions
- Placement Preparation – Interview Preparation – Mock Interviews
Course Highlights:
- Small batch
- Mock interviews
- Data science certificate
- Placement drives
- Demo class
| Name | PG Certificate in Data Science (PGCP) | 
| Course Duration | 6 Months | 
| Website | www.analytixlabs.co.in | 
| Address: | Sidhartha House, 2nd Floor, Plot 6, near HUDA City Metro, Sector 44, Gurugram, Haryana 122003 Mob: 095552 19007 | 
| Avg. Google Rating: | 5 | 
| Offering DS Training in Gurgaon Since: | 2011 | 
| Fees | INR 2,25,000 | 
| Branches in India: | Gurgaon, Noida, Bangalore | 
| Flagship Course Names: | 
 | 
| Exclusive Data Science Institute: | Yes | 
| Training Delivery Model | Online | 
5. IClass Gyansetu
Gyansetu – Redhat Certified Training Company founded in 2013. They are the pioneers in Data Science, Big Data, and Business Analytics training programs in India. Their core team members are from IIIT-Hyderabad, BMSCE-Bangalore with industry experience in Microsoft, American Express, Sun Life Financials, etc.
Since its inception, Gyansetu has delivered more than 32,500+ Satisfied Learners, 250+ Corporate Trainings, 100+ Real Time Projects. Their model is more Focused on Training partners hence creating Speed and scalability, at a better price, creating WIN-WIN!
Their students are currently working in companies like Makemytrip, Cognizant, Aon Hewitt, Accenture, Adobe, Absolutdata, Fractal Analytics, American Express, Birlasoft, Barclays, etc.
They are focused on building skills from basics to advanced levels with an easy learning approach to enable their learners to “Job-Ready” and explore new opportunities in the IT Industry.
Course Curriculum:
- Machine Learning Introduction
- Python Data Analysis Libraries (EDA)
- Machine Learning: Data Pre-processing Techniques
- Machine Learning: Data Handling (Importing and exporting data from various sources)
- Machine Learning: Capstone Project
- Machine Learning: Statistical Inference System (Statistics Analysis)
- Machine Learning: Dimensionality Reduction (Feature Engineering)
- Machine Learning: Supervised Learning : Regression
- Machine Learning: Supervised Learning : Classification
- Machine Learning: Unsupervised Learning : Clustering
- Machine Learning: Recommender Systems
- Case Study : Design a Recommendation Engine
- Machine Learning: Reinforcement Learning
- Machine Learning: Text Mining & Natural Language Processing (NLP)
- Machine Learning: Word2Vec Analysis
- Machine Learning: NLP – POS(Parts-of-Speech Tagging)
- Deep Learning (AI) Specialization in Python:
- TensorFlow for Deep Learning with MLOps (Installation with Setup)
- Manual Creation of Neural Networks (Regression point of view)
- Tensor Flow basics
- CNN using Tensorflow
- RNN using Tensorflow
- TensorFlow Miscellaneous
- Tensorflow AutoEncoders
- Reinforcement Learning with OpenAI gym
- GAN – Generative Adversarial Networks
- ML Models Deployments (MLOps)
- KERAS For Deep Learning with MLOps (Artificial Neural Networks)
- Evaluating, Improving and Tuning the ANN
- Deep Learning: Convolutional Neural Networks(CNN)
- Recurrent Neural Networks(RNN)
- SOM’s (Self Organizing Maps)
- Deep Learning: Boltzmann Machines
- Deep Learning: AutoEncoders
- Deep Learning: Classification & Regression Using Deep Learning Models (MLOps)
- Deep Learning for Computer Vision
- Setting Up Deep Learning Development Environment
- Deep Learning: Handwriting Recognition, Simple Object Classification OpenCV
- Deep Learning: OpenCV3 Tutorial – Live Sketches, Identify Shapes & Face Detection
- Mini-Project 1 – Live Sketch App – Turn our Webcam Feed Into a Pencil Drawing
- Deep Learning: Mini Project 2 – Identify Shapes (Square, Rectangle, Circle, Triangles & Stars)
- Deep Learning: Mini Project 3 – Counting Circles & Ellipses
- Deep Learning: Mini Project 4 – Finding Waldo (Quickly Find a Specific Pattern In An Image)
- Deep Learning: Mini Project 5 – Car & Pedestrian Detection in Videos
- Deep Learning: Neural Networks Explained
- Deep Learning: Build CNNs in Python using KERAS – Handwriting Recognition(MNIST)
- What CNNs ‘see’ – Filter Visualizations, Heatmaps & Salience Maps
- Data Augmentation : Build a Cats Vs Dogs Classifier
- Deep Learning: Types of Optimizers, Learning Rates & Call backs
- Deep Learning: Types of Optimizers, Learning Rates & Call backs: Build a Fruit Classifier
- Batch Normalization & Build LeNet, AlexNet : Build a Fashion/Clothes Classifier
- Deep Learning: ImageNet in KERAS(VGG16/19, InceptionV3, ResNet50) -Advanced Image Classifiers
- Deep Learning: Transfer Learning & Fine Tuning : Build a Flower & Monkey Breed Classifier
- Deep Learning: Design Our own CNN : LittleVGG : Build a Simpsons Character Classifier
- Deep Learning: Advanced Activation Functions & Initializations
- Deep Learning: Deep Surveillance: Build a Facial Emotion, Age & Gender Recognition System
- Deep Learning: Image Segmentation & Medical Imaging in U-Net : Find Nuclei in Images
- Deep Learning: Principles of Object Detection
- Deep Learning: Tensorflow Object Detection API
- Deep Learning: Object Detection with YOLO & Darkflow : Build a London Underground Sign Detector
- Deep Learning: DeepDream & Neural Style Transfers : Make AI Generated Art
- Deep Learning: Generative Adverserial Networks (GANs) : Age Faces to 60+ Age with our Age-cGAN
- Deep Learning: Face Recognition with VGGFace
- Deep Learning: Computer Vision World
- Deep Learning: Build a Credit Card Number Reader
- Deep Learning: Use Cloud GPUs on PaperSpace
- Deep Learning: Creating a Computer Vision API & WebApp Using Flask & AWS
| Name | Data Science, Machine Learning with Python | 
| Course Duration | 5 Months | 
| Website | www.gyansetu.in | 
| Address: | Huda Market, SCO 46 Huda, Sector 31, Gurugram, Haryana 122001 Mob: 099992 01478 | 
| Avg. Google Rating: | 5 | 
| Offering DS Training in Gurgaon Since: | 2013 | 
| Fees | INR 1,00,000 | 
| Branches in India: | Gurgaon | 
| Flagship Course Names: | 
 | 
| Exclusive Data Science Institute: | Yes | 
| Training Delivery Model | Online & Offline | 
6. Palin Analytics
The institute is one of the best platforms for students to learn more about Data Analytics and other computer software. The institute aims to facilitate the best guidance from the experts and professionals given to the students. The institute takes mock interviews and assignments on a regular basis to keep the students motivated.
Course Curriculum:
- Introduction to Data Science
- Python for Data Science
- Statistics
- Excel
- Getting Started with SQL
- Analyzing Data with Python
- Machine Learning
- Deep Learning
- NLP
Course Highlights:
- Real-Time Projects
- Industry Expert Trainers
- Career Transition Guidance
- Data science certificate
- Interview Preparation Techniques
- Class recordings
- Shareable Certificate
| Name | Data Science with Python | 
| Course Duration | 2 Months | 
| Website | www.palin.trainercentralsite.in | 
| Address: | M8, Lower Ground Floor, Block M, Old DLF Colony, Sector 14, Gurugram, Haryana 122001 Mob: 098106 00764 | 
| Avg. Google Rating: | 5 | 
| Offering DS Training in Gurgaon Since: | 2017 | 
| Fees | INR 69,500 | 
| Branches in India: | Gurgaon | 
| Flagship Course Names: | 
 | 
| Exclusive Data Science Institute: | Yes | 
| Training Delivery Model | Online & Offline | 
7. CTC
CTC is a Data science training institutes in Gurgaon driven by working professionals in NCR, which offers proficient data science courses to apprentices, propelled programmers, and experts, who wish to enhance their insight into the field of data analytics. They are one of the biggest endeavors devoted to offering the best training.
Course Curriculum:
This combo package covers the below seven courses:
- Python Data Science with Machine Learning using Python
- Tableau data visualization
- SQL
- One more Data science Language (say R) with Machine Learning.
- Alteryx
- Advanced Excel
- Microsoft Power BI data visualization
Course Highlights:
- Experienced faculty
- Integrated study materials
- Intensive coaching
- Interactive classes
- Regular mock tests
- Revision sessions
- Doubt clearing sessions
- Test series
- Detailed test analysis
- Personal mentorship
- Performance dashboard
| Name | 360 Degree data science combo course | 
| Course Duration | 3 Months | 
| Website | www.sastrainingindelhi.com | 
| Address: | 0117, Second Floor, Purvi Marg Opposite Building 5 Cybercity Below Phase II -Rapid Metro Station on Main Raod, Gurugram, Haryana 122002 Mob: 073030 66379 | 
| Avg. Google Rating: | 5 | 
| Offering DS Training in Gurgaon Since: | 2018 | 
| Fees | INR 70,000 | 
| Branches in India: | Gurgaon | 
| Flagship Course Names: | 
 | 
| Exclusive Data Science Institute: | Yes | 
| Training Delivery Model | Online & Offline | 
8. Great Learning Gurgaon
Great Learning, Gurgaon, operates as a pivotal component of the BYJU’S group, standing as a prominent global educational technology firm specializing in professional training and advanced education. The establishment took root in 2013.
Distinguished for its expansive range of industry-aligned, practical learning initiatives spanning diverse sectors such as business, technology, and interdisciplinary domains, Great Learning plays a pivotal role in propelling the digital economy forward. These meticulously crafted programs are the result of collaborative efforts with some of the world’s premier academic institutions.
At Great Learning, a cadre of exceptionally qualified faculty, complemented by a vast network of industry mentors, ensures the delivery of an unparalleled learning experience. This distinctive approach attracts millions of learners hailing from over 170 countries across the globe.
Course Curriculum:
Module 1: DATA SCIENCE FOUNDATION
- Introduction to programming in python
- SQL Programming
- Python for Data Science
- Statistical Methods for Decision Making
Module 2: MACHINE LEARNING
- Supervised Learning
- Regression
- CART
- Unsupervised Learning
- Clustering
- PCA
- Decision Trees
- Ensemble Techniques
- Bagging
- Boosting
Module 3: DATA SCIENCE APPLICATIONS
- Database Management Systems
- Data querying – SQL
- Joins
- Indexing
Course Highlights:
- Personalised mentorship sessions
- Dedicated career support
- 9+ languages & tools
- Doubt-Solving with Expert Industry mentors
- Proactive Program Support
- Dual Certificate from top universities
| Name | Data Science and Engineering | 
| Course Duration | 9 Months | 
| Website | www.mygreatlearning.com | 
| Address: | Orchid Centre, 2nd Floor, Golf Course Rd, Sector 53, Gurugram, Haryana 122002 Mob: 080 4711 1120 | 
| Avg. Google Rating: | 5 | 
| Offering DS Training in Gurgaon Since: | 2013 | 
| Fees | INR 2,75,000 | 
| Branches in India: | Gurgaon, Delhi, Noida, Kolkata, Chennai, Kerala, Bangalore, Mumbai | 
| Flagship Course Names: | 
 | 
| Exclusive Data Science Institute: | Yes | 
| Training Delivery Model | Online | 
9. TCA
The best and incomparable coaching supplier with skillful professionals is the team of TCA Gurgaon. This coaching and development center is by Mentortca Technology Pvt. Ltd. The coaching of this institute includes company coaching and talent development programs to go up to numerous totally different levels and various varieties of industries pan Bharat.
Further, the coaching includes capability-building coaching, behavioral coaching, the trainer program, and last but not least technical coaching. The technical membership gives numerous further options and is completely job-oriented providing information concerning the task set. The institute is one of the best institutes as the teaching methodology is unique and interesting.
Course Curriculum:
- Introduction to Data Science
- Python for Data Science
- Statistics
- Excel
- Getting Started with SQL
- Analyzing Data with Python
- Machine Learning
- Deep Learning
Course Highlights:
- Affordable Fees
- Expert Mentors
- Live Projects
- Job-Oriented Training
- Hands-on Training
- Globally Recognized Certificates
- 100% Placement Assistance
| Name | Certification in Data Science Training Programme | 
| Course Duration | 2 Months | 
| Website | www.tcagurgaon.in | 
| Address: | M-42, near Ganpati Honda, Block M, Old DLF Colony, Sector 14, Gurugram, Haryana 122001 Mob: 078271 80534 | 
| Avg. Google Rating: | 5 | 
| Offering DS Training in Gurgaon Since: | 2009 | 
| Fees | INR 35,000 | 
| Branches in India: | Gurgaon, Delhi, Noida | 
| Flagship Course Names: | 
 | 
| Exclusive Data Science Institute: | Yes | 
| Training Delivery Model | Online & Offline | 
10. Ducat
Ducat Education provide the needed computer training all related to IT software which helps the freshers as well as experiencers so that they can achieve better placement and knowledge gainer in this technological world. The corporates who are not able to deal with the rising technology and software issues are also helped here with various programs like C++, Java, SAP, etc.
Course Curriculum:
- Module 1: Introduction to Data Science
- Module 2: Data Acquisition and Cleaning
- Module 3: Exploratory Data Analysis (EDA)
- Module 4: Statistical Analysis and Hypothesis Testing
- Module 5: Machine Learning Algorithms
- Module 6: Predictive Modeling and Model Evaluation
- Module 7: Data Visualization
- Module 8: Feature Engineering and Selection
Projects(Total 8)
- 1 Project in Python & SQL
- 1 Dashboard/Report in power BI
- 3 Projects in ML
- 3 Projects in DL/AI
Course Highlights:
- 100% placement guarantee after the course
- Conducts personality development sessions
- Conducts Mock interviews
- Grooms on the presentation skills of the students
| Name | Data Science Professional | 
| Course Duration | 3 Months | 
| Website | www.ducatindia.com | 
| Address: | 1808/2 Sunder Singh Marg NEAR HONDA SHOWROOM Sector 14, Old DLF Colony, Gate, Gurugram, Haryana 122001 Mob:070709 05090 | 
| Avg. Google Rating: | 5 | 
| Offering DS Training in Gurgaon Since: | 2000 | 
| Fees | INR 40,000 | 
| Branches in India: | Gurgaon | 
| Flagship Course Names: | 
 | 
| Exclusive Data Science Institute: | Yes | 
| Training Delivery Model | Online | 
11. Edvancer
Edvancer is one of the leading institutes in India that provides training for Advanced Certification in Data Analytics, Advanced Certification in AI and Machine Learning, Certified Data Science Specialist, etc.
Edvancer was established in 2013 by the vision of Mr. Aatash Shah. Edvancer aims to be the premier career-oriented education provider in the world. Edvancer provides the most practical, industry-focused, cost-effective courses which will enable our students to gain skills needed by the industry.
Edvancer also offers various certificate courses in analytics which are available for all levels of learners. Edvancer’s courses are available in online mode. so that students can learn anytime and anywhere. All courses in Edvancer are practical, industry-focused, and designed and delivered by industry professionals.
Course Curriculum:
- Business Analytics in R
- Machine Learning in Python
- Data Analysis in SQL
Course Highlights:
- Online classes on weekends or video-based learning with support.
- Hands-on training with 70% practical content
- 24×7 lifetime access to online videos and content
- Top class IBM certified faculty and premier companies like TCS, EY, Deloitte, Fractal, Accenture, etc.
- Get a Globally Valued IBM Certificate with full job of the best data science.
| Name | IBM Professional Certificate in Data Science | 
| Course Duration | 3 Months | 
| Website | www.edvancer.in | 
| Address: | AltF Campus, 6th Floor, Plot 4, Minarch Tower, Block C, Sector 44, Gurugram, Haryana 122002 Mob: 080809 28948 | 
| Avg. Google Rating: | 4 | 
| Offering DS Training in Gurgaon Since: | 2013 | 
| Fees | INR 49,900 | 
| Branches in India: | Mumbai, Hyderabad, Gurgaon | 
| Flagship Course Names: | 
 | 
| Exclusive Data Science Institute: | Yes | 
| Training Delivery Model | Online | 
12. School of CORE AI
They are an outcome-focused leading ed-tech platform for tech professionals. Their industry-vetted approach towards teaching and training young minds helps them skill and bag the career of their dreams.
They are a transformative learning platform devoted to creating a growth ecosystem to assist software professionals in unlocking their talent and seizing opportunities at every stage of their careers. Learners enrolled with them are taught, guided, and mentored by top professionals and experts working at reputed companies and start-ups.
Course Curriculum:
- BASICS OF PYTHON
- ADVANCE PYTHON
- PYTHON LIBRARIES FOR ML(Pandas, Numpy, Scipy, Matplotlib, Seaborn)
- STATISTICS
- PROBABILITY
- MACHINE LEARNING
- HYPERPARAMETER OPTIMIZATION FOR MACHINE LEARNING
- Working With Databases
- ADD ON’S 1. FLASK 2. GITHUB
Course Highlights:
- Industry Recognition
- Competitive Advantage
- Expanded Opportunities
- Skill Validation
- Structured, industry-vetted curriculum
- Hyper Personalized Experience
- Live Classes with industry veterans
- Regular 1: 1 mentorship by our top-notch faculty
| Name | Data science With Machine Learning | 
| Course Duration | 4 Months | 
| Website | www.schoolofcoreai.com | 
| Address: | G154, Sector 40, Gurugram, Haryana 122003 Mob: 096914 40998 | 
| Avg. Google Rating: | 4 | 
| Offering DS Training in Gurgaon Since: | 2020 | 
| Fees | INR 55,000 | 
| Branches in India: | Gurgaon | 
| Flagship Course Names: | 
 | 
| Exclusive Data Science Institute: | Yes | 
| Training Delivery Model | Offline | 
Who should learn Data Science in Gurgaon?
If you’re curious about numbers, love solving puzzles, or just find joy in discovering patterns, learning Data Science Training Institutes in Gurgaon might be perfect for you! It’s not just for computer whizzes; anyone keen on understanding and making sense of data can dive into this exciting field.
Whether you’re a recent graduate, a working professional seeking a career change, or even someone already in the tech world wanting to upskill – Data Science welcomes all. Gurgaon, being a growing tech hub, offers a great environment for learning and applying these skills in various industries.
So, if you’re intrigued by the idea of unraveling insights from data, predicting future trends, or simply want to explore the dynamic world of analytics, Gurgaon is the place to embrace the fascinating journey of learning Data Science!
Why should you study Data Science?
Studying Data Science opens up a world of possibilities and here’s why it’s worth the adventure! First off, it’s like having a superpower for understanding and decoding information – you get to uncover hidden patterns and predict future trends.
Imagine making your favorite apps smarter or helping doctors find better treatments using data – that’s the impact you can have! Plus, with businesses everywhere relying on data to make decisions, being a data whiz makes you a valuable asset in almost any industry.
It’s not just for the computer pros; anyone with curiosity and a knack for problem-solving can dive in. Learning Data Science is like gaining a secret code to unlock exciting opportunities and be part of shaping the future!
Career Scope in Data Science in Gurgaon

Embarking on a Data Science career in Gurgaon is like stepping into a realm of endless possibilities. The city’s bustling tech scene and thriving businesses make it a hotspot for data enthusiasts. As a Data Scientist in Gurgaon, you become a sought-after professional, contributing to industries like finance, healthcare, and technology.
Companies are on the lookout for skilled individuals who can turn data into insights, and Gurgaon provides an ideal backdrop for such careers. With a growing demand for data-driven decision-making, the scope for Data Science professionals in Gurgaon is immense. Whether you’re passionate about unraveling patterns, predicting outcomes, or simply love working with data, Gurgaon offers a dynamic and rewarding environment to kickstart or elevate your career in the ever-evolving field of Data Science.
Data Science Course Certification : Digiperform
Master Real-World Skills, not Just Exams at Digiperform
At Digiperform, we go beyond traditional certifications. Our focus is on empowering you with practical expertise, sought-after by leading companies across India and internationally.
Our unique approach prioritizes project-based learning, where you’ll gain hands-on experience through real-world challenges. Forget a simple pass/fail system – we provide ongoing support to help you refine your projects and showcase your true abilities.
Collaboration is key. While plagiarism is strictly forbidden, we encourage seeking guidance to elevate your work. External exams, if applicable, might have different assessment structures.
Our ultimate goal? To equip you with the practical skills and confidence to dominate job interviews and excel in your data science career.
Mastering Data Science Tools
Embark on an exciting journey into the realm of data science through Digiperform’s ‘Mastering Data Science Tools’ course. This program delves extensively into Python, R programming, and cutting-edge machine learning techniques, enhancing your capacity to derive valuable insights from data.
Acquire hands-on proficiency in utilizing tools pertinent to the industry, empowering you to tackle genuine data-related obstacles. Elevate your skill set and broaden your professional horizons within the dynamic field of data science with Digiperform’s comprehensive and practical curriculum.
Data Science Salaries for Freshers in Gurgaon
For freshers diving into the Data Science scene in Gurgaon, exciting opportunities come with competitive salaries. Companies in Gurgaon value the skills and fresh perspectives that newcomers bring to the table. Starting your Data Science journey here means tapping into a job market that appreciates the importance of data-driven insights. While salaries can vary, especially based on your skills and the company you join, Gurgaon’s tech hub tends to offer attractive packages for entry-level Data Science roles.
As businesses increasingly rely on data for decision-making, the demand for fresh minds in this field continues to grow. So, if you’re passionate about numbers, patterns, and making an impact, Gurgaon welcomes you with not just opportunities to learn but also rewarding salaries to kickstart your Data Science career.
| Data Science Role (Gurgaon) | Monthly Salary (INR) | Yearly Package (INR) | 
| Machine Learning Engineer | Rs. 1,00,000 – Rs. 1,50,000 | Rs. 12,00,000 – Rs. 18,00,000 | 
| Business Analyst | Rs. 60,000 – Rs. 80,000 | Rs. 7,20,000 – Rs. 9,60,000 | 
| Data Analyst | Rs. 50,000 – Rs. 70,000 | Rs. 6,00,000 – Rs. 8,40,000 | 
| Data Science Consultant | Rs. 1,20,000 – Rs. 1,80,000 | Rs. 14,40,000 – Rs. 21,60,000 | 
| Data Engineer | Rs. 80,000 – Rs. 1,30,000 | Rs. 9,60,000 – Rs. 15,60,000 | 
| Business Intelligence Developer | Rs. 70,000 – Rs. 1,00,000 | Rs. 8,40,000 – Rs. 12,00,000 | 
| Data Storyteller | Rs. 65,000 – Rs. 90,000 | Rs. 7,80,000 – Rs. 10,80,000 | 
| Data Visualization Analyst | Rs. 55,000 – Rs. 80,000 | Rs. 6,60,000 – Rs. 9,60,000 | 
Additional Tips:
- Salary negotiation is common in India. Researching typical ranges can empower you during discussions.
- Consider equity or stock options offered by some startups, which can significantly increase your compensation package.
- Look into benefits packages that may include health insurance, paid time off, and other perks.
Current Job Openings in Data Science in Gurgaon

Gurgaon’s vibrant job market is buzzing with exciting opportunities in Data Science. Companies are on the lookout for skilled professionals to join their teams and contribute to the data-driven revolution. Whether you’re a seasoned Data Scientist or just starting your career, Gurgaon offers a plethora of job openings catering to different skill levels. From roles in data analysis to machine learning, the city’s tech landscape is diverse, providing a chance to explore various facets of Data Science.
Companies across industries, from finance to healthcare, are actively seeking talent to harness the power of data. So, if you’re passionate about transforming numbers into meaningful insights, check out the current job openings in Data Science in Training Gurgaon – your next career move might be just a click away. You can refer to these websites: Naukri.com, Linkedin.com, Indeed.com and many more.
FAQs: Data Science Course
What is the demand for Data Science professionals in Gurgaon?
Gurgaon's thriving tech ecosystem has created a high demand for Data Science professionals. Many industries, including finance and healthcare, actively seek skilled individuals to leverage data for informed decision-making.
Are there specific industries in Gurgaon that heavily rely on Data Science?
Yes, industries such as finance, healthcare, e-commerce, and IT in Gurgaon extensively use Data Science. These sectors value data-driven insights for optimizing processes, enhancing customer experiences, and staying competitive.
What skills are in demand for Data Science jobs in Gurgaon?
Employers in Gurgaon look for skills like proficiency in programming languages (Python, R), data analysis, machine learning, and strong problem-solving abilities. Additionally, knowledge of tools like SQL and familiarity with big data technologies is often sought after.
How does Gurgaon contribute to the learning environment for aspiring Data Scientists?
Gurgaon offers a conducive environment for learning Data Science, with numerous training institutes in Gurgaon, workshops, and networking events. The city's tech community actively engages in knowledge-sharing, providing ample opportunities for skill development.
Are there entry-level opportunities for freshers in Data Science Training in Gurgaon?
Yes, Gurgaon's job of the best data science market welcomes freshers in Data Science with entry-level positions. Many companies understand the value of new talent and offer training programs or internships, making it an excellent place for beginners to kickstart their careers in Data Science.
What are the various phases involved in the field of Data Science?
In the field of Data Science, various phases include data collection, where relevant data is gathered from various sources. This is followed by data cleaning, where the collected data is processed to remove errors and inconsistencies. Next comes data analysis, where statistical techniques are applied to derive insights from the data. Finally, there's data interpretation, where the insights gained are used to make informed decisions and solve problems.
What can we expect in terms of job prospects within the realm of data science in the future?
As the digital landscape evolves, data science job prospects are set to soar. With businesses harnessing the power of big data, demand for skilled data scientists will continue to rise. Professionals equipped with expertise in data analytics, machine learning, and AI will find ample opportunities for career growth and innovation in this dynamic field.
Who is eligible for demo sessions?
Demo sessions are open to individuals interested in exploring digital marketing courses and gaining insights into the training curriculum offered by Digiperform. Whether you're a student, working professional, or business owner looking to enhance your digital skills, our demo sessions provide valuable information and guidance tailored to your needs.
What is the status of the data science job market in Gurgaon?
The data science job market in Gurgaon remains robust, with high demand for skilled professionals. Companies are actively seeking individuals proficient in machine learning, statistical analysis, and programming languages like Python and R. As industries digitize rapidly, the need for data-driven insights continues to drive job opportunities in the region.
 
            








 
						