Master
Data Science Courses In Dehradun
India’s Only Data Science Training Program created to help you to build a successful career in Data Science from scratch.
Top 10 Data Science Courses in Dehradun with Placement
Dehradun, the capital of Uttarakhand nestled in the foothills of the Himalayas, is a city of serene contrasts. It boasts a rich tapestry of history and natural beauty. The city is renowned for its breathtaking landscapes, including the Rajaji National Park, Robber’s Cave, and the revered Tapkeshwar Temple, as well as its delectable cuisine, featuring Garhwali delights and Tibetan momos.
Dehradun stands as a burgeoning hub for education, adventure, and technology. It’s not just a scenic paradise but also a burgeoning hotspot for IT, education, and research. The city hosts a blend of established companies and startups, fostering innovation and growth.
Despite its technological advancements, Dehradun has retained its allure and connection to nature. It’s a melting pot of traditions and modernity, drawing in individuals from across India and beyond. Dehradun’s inhabitants are known for their warmth and inclusivity, creating an environment that celebrates diversity.
In order to fuel the burgeoning industries and startup ventures in Dehradun, harnessing the potential of data science is pivotal. By embracing data-driven methodologies, businesses can make well-informed decisions, detect emerging market trends, and streamline operations. Startups can utilize data science to fuel innovation, gain a competitive edge, and attract investments. Collaborations with local educational institutions for skill development and talent acquisition can further catalyze the growth of the data science landscape in Dehradun.
Just as the Himalayas stand tall, Dehradun stands poised to scale new heights in technology and innovation, driven by the power of data science.”
Comparison Chart: Top 10 Data Science Courses in Dehradun with Placement.
If you are looking for the best and most reliable information regarding Data Science courses in Dehradun, then you have come to the right place.
| Institute Rank | Name | Training Delivery Type | Offering Course Since | Fees | Placement Assistance |
| 1 | Digiperform | Online & Offline | 2013 | INR 30k-90k | 100%* |
| 2 | Vista Academy | Online| Offline |
2009 | INR 1,20,000 | 100% |
| 3 | Brillica Services | Hybrid | 2017 | INR 50,000-70,000 | 100% |
| 4 | ISPL Academy | Online| Offline |
2011 | INR 21500 | 100% |
| 5 | SLOG SOLUTIONS PVT. LTD. | Online| Offline |
2018 | INR 20000 | 100% |
| 6 | VerveGen Edtech | Online | 2020 | INR 50,000 + GST | 100% |
| 7 | CETPA Infotech Pvt. Ltd | Online| Offline |
2010 | INR 50,000-80,000 | 100% |
| 8 | GIVES INFOTECH | Offline | 2010 | INR 79,999 + GST | 100% |
| 9 | Learners Galaxy | Online | 2009 | INR 20,000 | 100% |
| 10 | CETPA TECHNOLOGY | Online| Offline |
2002 | INR 35,000 | 100% |
What is Data Science and its Importance?
In Dehradun, the realm of Data Science stands as a pivotal multidisciplinary field, weaving together scientific techniques, algorithms, and systematic approaches to unlock valuable insights from diverse data sets. This dynamic discipline encompasses an array of methodologies—ranging from data analysis and machine learning to statistical modeling and data mining—empowering industries to unravel hidden patterns and confront intricate challenges. In today’s era of voluminous data, Data Science emerges as an indispensable asset for businesses worldwide.
Within the serene landscapes of Dehradun, the realm of Data Science training assumes a paramount role in shaping individuals for success in this data-centric epoch. The Data Science training programs in Dehradun offer aspiring professionals a robust platform to delve into data analysis, machine learning, and data visualization. Through immersive experiences within these programs, students and professionals gain a profound understanding of leveraging data’s potential. This knowledge empowers them to drive innovation, refine decision-making processes, and carve out a competitive edge in their careers.
As Dehradun’s natural beauty harmonizes with technological advancements, the city’s focus on Data Science education resonates deeply. It not only equips individuals with essential skills but also paves the way for a future where data becomes the cornerstone of innovation and progress.
Top 10 Data Science Courses in Dehradun
1. Digiperform
Digiperform is a top-notch training provider in India, specializing in digital skills. Our comprehensive course structure is meticulously crafted by a team of over 50 industry experts in Data Science. We actively seek input and ideas from 450 forward-thinking businesses across Asia to keep our courses aligned with the latest industry trends.
Our curriculum is carefully tailored to cover essential skills for roles in both small and large Data Science firms, as well as for companies with their own Data Science teams. At Digiperform, we prioritize hands-on learning by blending practical exercises, research, and assignments to offer a thorough and pragmatic learning experience.
Why Choose Digiperform Online Data Science Course?
Opting for Digiperform’s Online Data Science Course in Dehradun ensures a distinctive and invaluable learning journey for budding data enthusiasts. Here’s why Digiperform stands as the ideal choice for your Data Science education in the serene city of Dehradun:
Industry Experts as Trainers: Mastering Data Science demands learning from the best. Our trainers are seasoned industry experts, boasting an average of 8+ years of hands-on experience in leading organizations. They bring forth real world problem insights and expertise, enriching the virtual classroom with practical knowledge.
100% Placement Assistance: Education’s ultimate goal is securing a fulfilling career. Our dedicated Placement Cell ensures comprehensive support in landing your dream job in the Data Science realm. We’re committed to guiding you towards promising career opportunities.
60+ Hands-on Projects: Our emphasis on experiential learning is paramount. The course is designed with over 60 practical projects, fostering a 90% practical and 10% theoretical approach. This ensures you acquire the skills essential for real time Data Science tasks.
Cutting-Edge Curriculum: Aligned with international standards, our curriculum offers the most advanced content. Access a treasure trove of resources—PPTs, documents, PDFs, exercises, quizzes, and projects—crafting a holistic learning experience.
Personalized Career Mentorship: Benefit from dedicated online support and weekly doubt-clearing sessions led by experts. This one-to-one mentorship caters to your unique career goals, providing tailored guidance.
24×7 Learning Management System (LMS): Enjoy round-the-clock access to lectures and training materials via our LMS. This flexibility allows learning at your pace and revisiting materials whenever necessary.
Simulation & Mock Interviews: We prioritize meeting industry hiring standards. Our course includes simulation and mock interviews, preparing you thoroughly for real time Data Science job interviews.
Custom Interview Preparation: Data Science roles vary, and interview demands can differ widely. We offer specialized training, equipping you with the knowledge and skills necessary for diverse Data Science positions, ensuring readiness for any interview scenario.
Selecting Digiperform’s Online Data Science Course in Dehradun means choosing quality, flexibility, and a curriculum tailored to meet the specific needs of the city’s Data Science enthusiasts. Our commitment to empowering students with practical skills and industry-relevant knowledge positions us as the premier choice for your Data Science education journey in Dehradun.
Data Science Online Course: Advantages
Enrolling in Digiperform’s Data Science Online Course in Dehradun unlocks a myriad of exclusive advantages that distinguish our program. Here’s why opting for Digiperform for your Data Science education is a savvy and pertinent choice:
Industry-Tailored Curriculum: Our online Data Science course is intricately crafted to harmonize with the latest industry requisites and trends. You’ll delve into the most current tools, techniques, and technologies pertinent to the swiftly evolving data science landscape.
Practical Emphasis: At Digiperform, we prioritize hands-on learning. Engage in real time scenarios through hands-on projects and assignments, ensuring you’re not just well-versed in theory but also job-ready.
Flexibility & Convenience: Recognizing the demands of modern life, our online courses offer the flexibility of learning at your pace, from any location, and at your preferred time. This adaptability empowers you to balance studies with other commitments seamlessly.
Tailored Support: Personalized learning is our ethos. Courses are meticulously designed to cater to individual needs and aspirations, guaranteeing a bespoke educational journey.
Seasoned Faculty: Learn from industry stalwarts who bring their practical insights and expertise to the virtual classroom. Benefit from their wealth of experience, gaining invaluable industry perspectives.
Dehradun Focus: Digiperform’s Data Science course accounts for the unique demands of the Dehradun market, equipping you with skills directly relevant to local job opportunities. This localized approach distinguishes our program.
Certification & Recognition: Completion of our course not only furnishes you with knowledge but also a data science certification acknowledged in the industry. This credential significantly amplifies your career prospects and potential advancements.
Career Guidance: Avail robust career assistance, including job placement support and comprehensive interview preparation. Our commitment extends beyond education to securing a fulfilling career in the data science domain.
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
Customer Lifetime Value Computation:
Utilizing SQL for computing customer lifetime value, this task aids in evaluating the revenue generated by customers throughout their association with the business.
Predicting Customer Churn:
Developing a predictive analytics model using SQL to identify customers at risk of churning by analyzing their transaction history and behavior.
E-Commerce Sales Interactive Dashboard:
Crafting an interactive dashboard with Tableau and SQL to analyze retail sales data, spot trends, and make informed decisions.
Customer Segmentation Dashboard:
Creating a customer segmentation dashboard with Tableau, categorizing customers based on demographics, behavior, and purchasing patterns.
Movie Recommendation System:
Constructing a movie recommendation system with Python, leveraging libraries like Pandas, NumPy, and Scikit-Learn to suggest movies based on user preferences and ratings.
Twitter Sentiment Analysis:
Analyzing Twitter data using Python, NLTK, and TextBlob to assess sentiment and comprehend overall sentiment on specific topics.
Visualizing COVID-19 Data:
Visualizing COVID-19 data using Python, incorporating libraries like Matplotlib, Seaborn, and Plotly to understand the pandemic’s impact across regions and countries.
Visualizing Stock Market Data:
Utilizing Python, Pandas, Matplotlib, and Bokeh to visualize stock market data, discerning stock price trends and patterns over time.
Airbnb Data Exploration:
Engaging in exploratory data analysis on Airbnb data to reveal insights into pricing, availability, and quality of Airbnb listings across diverse cities.
Bike Sharing Data Analysis:
Conducting exploratory data analysis on bike sharing data to unveil usage patterns across cities and identify influencing factors.
House Price Forecasting:
Constructing a regression model with Python and Scikit-Learn to predict house prices based on location, size, and amenities.
Credit Risk Assessment:
Building a classification model using Python and Scikit-Learn to evaluate credit risk for loan applicants, considering factors like credit history.
Sales Data Time Series Forecasting:
Creating a time series forecasting model using advanced machine learning algorithms like ARIMA and LSTM to predict future sales trends and determinants.
Product Review Sentiment Analysis:
Developing a sentiment analysis model using NLP techniques like Word Embeddings and Recurrent Neural Networks (RNN) to assess product reviews and customer sentiment.
Deep Learning-Based Segmentation:
Employing advanced deep learning methods such as Fully Convolutional Networks (FCN) and U-Net for image segmentation, identifying objects in images.
Transformer-Based Machine Translation:
Building a machine translation model using advanced deep learning techniques like Transformers to translate text between languages.
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
At Digiperform, we uphold our commitment to nurturing your Data Science journey. Our comprehensive program not only imparts vital skills but also assures your career advancement. With our 100%* placement assistance, you can confidently embark on your Data Science path, assured that we’ll link you with prime industry prospects. We boast a robust network of hiring partners, and our devoted placement team will adeptly guide you through the process, from refining your resume to honing your interview skills. Your triumph is our utmost priority, and we’re dedicated to aiding you in securing a fulfilling position in the realm of Data Science. Join us today and step into a promising future.
Data science course fees
Course Fee: Rs. 30k-90k for Digiperform’s comprehensive training.
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
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2. Vista Academy
Vista Academy Data Science Institute, nestled in the foothills of the Himalayas in Dehradun, Uttarakhand, India, is your gateway to a rewarding career in the burgeoning field of data science. They are passionate about empowering individuals with the skills and knowledge needed to navigate the ever-evolving data landscape and make a real impact in the world.
Course Curriculum:
Introduction to Data Science
- Understanding the data science ecosystem.
- Exploring career opportunities in data science.
- Setting up development environments (Python, Jupyter, Anaconda).
Data Manipulation and Analysis
- Introduction to data types and structures.
- Data cleaning and preprocessing techniques.
- Exploratory data analysis (EDA) using Pandas and NumPy.
Data Visualization
- Data visualization principles.
- Creating informative plots with Matplotlib and Seaborn.
- Interactive data visualization with Plotly.
Machine Learning Fundamentals
- Introduction to machine learning.
- Supervised vs. unsupervised learning.
- Scikit-Learn for machine learning tasks.
- Model evaluation and selection.
Advanced Machine Learning
Feature engineering and selection.
- Cross-validation and hyperparameter tuning.
- Model deployment and productionisation.
- Week 11: Big Data and Cloud Computing
Introduction to big data concepts.
- Working with distributed computing frameworks (e.g., Apache Spark).
- Cloud platforms for data science (e.g., AWS, Azure).
Project Work and Placement Preparation
- Collaborative data science project.
- Resume building and interview preparation.
- Mock interviews and feedback sessions.
- Job search strategies and networking in the data science community.
- Additional Components:
Guest lectures from industry experts.
- Access to online resources, forums, and tutorials.
- Career counseling and mentorship.
- Opportunities for networking and connecting with potential employers.
- Job placement assistance.
Course Highlights:
- Guaranteed Placement assistance
- Live Classes & Dedicated Mentors.
- Hands-on Practical Exposure.
- 400+ Recruitment partners
- 57% Average Salary Hike
- 1000+ Careers transformed
- Instant Doubt Resolution
- 50+ Industry Experts
| Name | Data science Course |
| Course Duration | 12 Months |
| Website | https://www.thevistaacademy.com/ |
| Address: | 316/336, Park Rd, Laxman Chowk, Dehradun, Uttarakhand 24800 Mob: +919411778145 |
| Fees: | INR 1,20,000 |
| Avg. Google Rating: | 4.8 |
| Offering DM Training in Chennai Since: | 2009 |
| Branches in India: | 5 |
| Flagship Course Names: | NA |
| Exclusive Data Science Training Institute: | No |
| Training Delivery Model | Online/Offline |
3. Brillica Services
Brillica Services operates as an IT Technology Training & Consulting firm established in Delhi and Dehradun. Our offerings encompass a diverse array of services, spanning technology training, HR consulting, big data analytics services, and beyond. Our course portfolio includes options such as big data analytics, full stack web development, data science, cyber security, digital marketing, and various others.
Course Curriculum:
Python for Data Science with Statistics
- Introduction to Python programming
- Data structures and algorithms
- Pandas for data manipulation and analysis
- NumPy for numerical computing
- Matplotlib and Seaborn for data visualization
- Basic statistical concepts and methods
Mathematical Computing with Python (NumPy)
- Introduction to NumPy arrays
- Indexing, slicing, and iterating
- Array operations and mathematical functions
- Broadcasting and advanced indexing
- Linear algebra with NumPy
Analysis and Visualization of Data
- Data cleaning and wrangling
- Exploratory data analysis (EDA)
- Hypothesis testing and statistical inference
- Data visualization with Matplotlib and Seaborn
- Storytelling with data
Machine Learning
- Supervised learning algorithms: regression, classification, decision trees
- Unsupervised learning algorithms: clustering, dimensionality reduction
- Model evaluation and selection
- Machine learning best practices
Data Preparation
- Data acquisition and extraction
- Data cleaning and pre-processing
- Feature engineering
- Handling missing data and outliers
Course Highlights:
- Project Based Training Course
- Certified & Industry Experienced Trainers
- Beginner To Expert-Level Training
- Best-In-Class Training Curriculum
- Online & Offline Training Modes
| Name | Data Science Courses |
| Course Duration | 6 months |
| Website | https://www.brillicaservices.com/ |
| Address: | PNB Vihar, Majra, Dehradun, Shewala Kala, Uttarakhand 248171, opposite bank of india, Dehradun, Uttarakhand 248121 Mob:+91- 8882140688 |
| Fees: | INR 50,000-70,000 |
| Avg. Google Rating: | 4.6 |
| Offering DM Training in Chennai Since: | 2017 |
| Branches in India: | 2 |
| Flagship Course Names: |
|
| Exclusive Data Science Training Institute: | Yes |
| Training Delivery Model | Hybrid |
4. ISPL Academy
ISPL Academy, located in Dehradun, is an IT skill development Training Institute. Our primary focus is on grooming students into industry-ready professionals through specialized courses including Web Designing, Python, C++, Java, Digital Marketing, GST (Goods and Services Tax), Tally PRIME, Tally ERP with GST, PHP – Web Development, SEO (Search Engine Optimization), Graphic Designing, and other IT career-oriented programs. Our diverse student base comes from various areas including GMS Road, Patel Nagar, Ballupur, Balliwala, Kanwali, Engineers Enclave, Indira Nagar, FRI, Shimla Bypass Road, and Clement Town along the Haridwar Bypass in Dehradun.
Course Curriculum:
- Master Machine Learning on Python
- Make Powerful Analysis
- Make accurate predictions
- Make robust Machine Learning models
- Use Machine Learning for personal purpose
- Build an army of powerful Machine Learning models and know how to combine them to solve any problem
- Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA
- Clean your input data to remove outliers
Course Highlights:
- Python with ML is up to 3 Month Course
- Interact with real trainers to clear your doubts
- Learn-by-doing model for real world problem-solving skills
- Get trained by industry experts for in-depth learning experience
- Get Digital and Physical course completion certificate
| Name | Python with ML |
| Course Duration | 3 Months |
| Website | https://isplacademy.com/ |
| Address: | General Mahadev Singh Rd, opp. Engineers Enclave, Shanti Vihar, Kaonli, Dehradun, Uttarakhand 248001 Mob: 99974-11884 |
| Fees: | INR 21500 |
| Avg. Google Rating: | 4.4 |
| Offering DM Training in Chennai Since: | 2011 |
| Branches in India: | 2 |
| Flagship Course Names: | NA |
| Exclusive Data Science Training Institute: | No |
| Training Delivery Model | Online /Offline |
5. SLOG SOLUTIONS PVT. LTD
Slog Solutions is a rapidly growing MSME and ISO 9001:2008 Certified Enterprise specializing in Summer Training, Winter Training, 6 Months Training, and Professional Training Programs. In Dehradun, Slog Solutions offers top-notch courses such as Python Training, Tally Training, Machine Learning Training, CAD CAM training, and more. Their range of training programs includes Meanstack, Reactjs, Angular, Ethical Hacking, Java, Android, Catia, Solid Works, AutoCAD, Revit, 3D Max, Staadpro, Networking, CCNA, CCNP, IoT, Embedded systems, Arduino, Plc scada, Matlab, pcb ckt designing, Digital Marketing, Seo Lumion, among others. Slog’s team of trainers is highly experienced and proficient in their respective fields.
Course Curriculum:
Week 1: Introduction to Machine Learning
- What is Machine Learning?
- Types of Machine Learning (Supervised, Unsupervised, Reinforcement)
- Machine Learning Lifecycle
- Python and Libraries for Machine Learning
Week 2: Data Pre-processing and Exploration
- Data Cleaning and Transformation
- Data Visualization
- Handling Missing Data
- Feature Selection and Engineering
Week 3: Supervised Learning
- Linear Regression
- Logistic Regression
- Decision Trees and Random Forest
- K-Nearest Neighbours
- Model Evaluation Metrics
Week 4: Unsupervised Learning
- Clustering (K-Means, Hierarchical)
- Dimensionality Reduction
Week 5: Unsupervised Learning
- Clustering (K-Means, Hierarchical)
- Dimensionality Reduction (PCA, t-SNE)
- Anomaly Detection
- Recommendation Systems
Week 6: Final Projects
- Students work on machine learning projects of their choice
- Project presentations
- Recap of the course
| Name | Data Science Machine Learning |
| Course Duration | 6 Weeks |
| Website | https://www.slogsolutions.com/ |
| Address: | SLOG, 1st Floor, Institution of Engineers, ISBT, Dehradun, Uttarakhand. Mob:+(91) 7456000240 +(91) 7456000241 |
| Fees: | INR 20000 |
| Avg. Google Rating: | 4.7 |
| Offering DM Training in Chennai Since: | 2018 |
| Branches in India: | 1 |
| Flagship Course Names: | NA |
| Exclusive Data Science Training Institute: | No |
| Training Delivery Model | Online /Offline |
6. VerveGen Edtech
VerveGen Tech is an IT services and software development company in Dehradun. They offer impactful internships and industrial summer training programs to engineering graduates and professionals. Their tailored programs align with individual career objectives and are guided by seasoned developers. Dedicated to client achievement, they offer live classrooms, mentorship, practical projects, and interactive labs for an enriching learning experience. Their distinguishing factor lies in having active industry professionals as instructors, ensuring an up-to-date and industry-focused curriculum.
Course Curriculum:
Module 1: Python Programming Foundations
- Dive into the core syntax and fundamentals of Python programming.
- Learn basic data types, operators, control flow statements, and functions.
- Grasp modularity with modules and packages.
- Practice solving problems through engaging coding exercises.
Module 2: Data Structures and Algorithms for Data Science
- Uncover the power of lists, dictionaries, and sets for efficient data manipulation.
- Understand core algorithms like sorting, searching, and recursion.
- Optimize your code with algorithm complexity analysis.
- Tackle real world problem data challenges with practical applications.
Module 3: NumPy and Pandas for Powerful Data Analysis
- Master NumPy arrays for high-performance numerical computing.
- Utilize Pandas data structures like Series and DataFrames for data manipulation and exploration.
- Leverage indexing, filtering, and data cleaning techniques to transform raw data.
- Analyze and visualize data through descriptive statistics and plotting libraries.
Module 4: Machine Learning with Python
- Get introduced to the exciting world of machine learning and its applications.
- Explore supervised learning algorithms like linear regression, decision trees, and k-nearest neighbors.
- Demystify unsupervised learning with clustering techniques like K-means and dimensionality reduction with PCA.
- Build and evaluate machine learning models with hands-on projects.
Module 5: Advanced Topics in Data Science with Python
- Delve deeper into topics like natural language processing (NLP), web scraping, and data visualization with advanced libraries.
- Understand the importance of data ethics and responsible AI practices.
- Prepare for a successful career in data science with career guidance and industry insights.
Course Highlights:
- Expert-led instruction
- Interactive learning
- Project-based learning
- Flexible learning options
- Career support
| Name | Data Science with Python |
| Course Duration | 6 weeks |
| Website | https://vervegenedtech.com/index |
| Address: | First Floor, Ojaswi Complex, Ballupur Chowk, Balliwala, Dehradun, Uttarakhand 248001 Mob:+91-9761501516, +91-9761501515 |
| Fees: | INR 50,000 + GST |
| Avg. Google Rating: | 5 |
| Offering DM Training in Chennai Since: | 2020 |
| Branches in India: | 1 |
| Flagship Course Names: | NA |
| Exclusive Data Science Training Institute: | No |
| Training Delivery Model | Online |
7. CETPA Infotech Pvt. Ltd
CETPA Infotech Pvt. Ltd is an institute specializing in Data Science education. We provide extensive training in Data Science, encompassing crucial elements such as data analysis, machine learning, and more, facilitated by a strong curriculum and experienced faculty. Our commitment is to nurture skilled professionals capable of excelling in the ever-evolving landscape of data-driven technologies.
Course Curriculum:
- Introduction
- Installation of Python and Eclipse IDE
- Variables
- Functional Programming
- Object Oriented Programming
- Modules and Packages
- Exception Handling
- File Handling
- Work with MongoDB.
- Introduction of Data Science
- Introduction of Essential Python Libraries
- Installation of Numpy, Matplotlib, Pandas, Scikit-learn, Ipython, and Jupyter.
- Data Loading
- Storage
- Data cleaning and preparation
- Time series
- Data Aggregation and Group Operations Data Analysis Examples
Course Highlights:
- Trainer Records Industry Experts
- Trained Students 2 Lakh +
- Success Ratio 99%
- Corporate Training For India & Abroad
- Job Assistance 100%
- Training Mode Online/Offline
| Name | DATA SCIENCE USING PYTHON |
| Course Duration | 3-6 Months |
| Website | https://www.cetpainfotech.com/ |
| Address: | Focus Academy, Balliwala Flyover, 46, General Mahadev Singh Rd, near HANUMAN TEMPLE, Vijay Park, Dehradun, Uttarakhand 248001 Mob: 092196 02771 |
| Fees: | INR 50,000-80,000 |
| Avg. Google Rating: | 4.1 |
| Offering DM Training in Chennai Since: | 2010 |
| Branches in India: | 4+ |
| Flagship Course Names: | NA |
| Exclusive Data Science Training Institute: | No |
| Training Delivery Model | Online/ Offline |
8. GIVES INFOTECH
GIVES INFOTECH, a IT training institute in Dehradun, offers a comprehensive Data Science course designed to equip you with the skills and knowledge required to excel in this in-demand field. Dive into the world of data analysis, machine learning, and artificial intelligence, and unlock your potential to transform raw data into valuable insights.
Course Curriculum:
Module 1: Data Science Fundamentals
- Dive into the core concepts of data science, understanding its role and applications.
- Grasp the power of Python programming, your key to unlocking data manipulation and analysis.
- Master essential libraries like NumPy, Pandas, and Matplotlib to wrangle and visualize data.
- Build a strong foundation in statistics and probability to interpret data effectively.
Module 2: Exploratory Data Analysis (EDA)
- Become a data detective! Learn EDA techniques to uncover hidden patterns and trends within your data.
- Master data cleaning and preprocessing to get your data ready for analysis.
- Dive into descriptive statistics and hypothesis testing to gain insights from your data.
- Craft compelling data visualizations to tell your data’s story in a clear and engaging way.
Module 3: Machine Learning (ML)
- Enter the realm of intelligent algorithms! Learn the fundamentals of supervised and unsupervised learning.
- Get hands-on with popular ML algorithms like linear regression, decision trees, and K-Nearest Neighbors.
- Explore advanced techniques like neural networks and ensemble methods for complex data challenges.
- Build and evaluate ML models with confidence, ensuring accuracy and robustness.
Module 4: Deep Learning and Advanced Topics
- Push the boundaries with Deep Learning! Understand the architecture and workings of neural networks.
- Implement Convolutional Neural Networks (CNNs) for image recognition and Recurrent Neural Networks (RNNs) for natural language processing.
- Delve into Big Data technologies like Hadoop and Spark for handling massive datasets.
- Explore cutting-edge topics like artificial intelligence ethics and responsible AI practices.
Course Highlights:
- Expert-led instruction
- Interactive learning
- Project-based learning
- Career guidance
- Flexible learning options
| Name | Data Science Courses |
| Course Duration | 3-6 Months |
| Website | https://gives-infotech.business.site/ |
| Address: | Post Office Road, Society Area, Bhagat Singh Marg, near SBI ATM, Dehradun, Uttarakhand 248001 Mob: 094105 51502 |
| Fees: | INR 79,999 + GST |
| Avg. Google Rating: | 4.9 |
| Offering DM Training in Chennai Since: | 2010 |
| Branches in India: | 1 |
| Flagship Course Names: | NA |
| Exclusive Data Science Training Institute: | No |
| Training Delivery Model | Offline |
9. Learners Galaxy
Learners Galaxy is an online education technology firm offering classroom training at our Dehradun office for students and professionals. For the past 5 years, they’ve been delivering high-quality training on advanced AI tools and techniques. They are trainers and industry experts with experience in conducting workshops for various F500 companies. They focus on equipping learners with essential skills in artificial intelligence, preparing them for roles such as Data Analysts, Data Scientists, and AI Engineers in corporate settings.
Course Curriculum:
- Data Wrangling with Python
- Exploratory Data Analysis
- Scientific and Statistical Computing in Python
- Regression Analysis
- Supervised Learning Algorithms
- Unsupervised Learning Algorithms
| Name | Data Science with Python |
| Course Duration | 36 hours |
| Website | https://learnersgalaxy.ai/ |
| Address: | Learners’ Galaxy, 2nd Floor, MM Towers, GMS Road, Ballupur Chowk, Dehradun – 248001 Mob: +91 853 202 5435 |
| Fees: | INR 20,000 |
| Avg. Google Rating: | 5 |
| Offering DM Training in Chennai Since: | 2009 |
| Branches in India: | 200+ |
| Flagship Course Names: | NA |
| Exclusive Data Science Training Institute: | No |
| Training Delivery Model | Online |
10. CETPA TECHNOLOGY
CETPA Technology, an ISO 9001:2015 certified training company, aims to bridge the gap between industry demands and the level of education offered by colleges through its top-notch IT Training Course in Dehradun. Recognized as one of the premier IT Training Companies in Dehradun, it specializes in offering training across various cutting-edge technologies. For students pursuing technical degrees in IT-related fields like B.Tech, B.Sc., M.Sc., M.Tech, and B.E., enrolling in nearby IT training courses becomes an essential part of their curriculum. CETPA, known as the finest IT training center in Dehradun, has tailored these training programs to meet industry requirements and groom highly skilled professionals for the job market.
Course Curriculum:
- Python Programming
- Statistics and Probability
- Data Manipulation and Analysis
- Machine Learning Fundamentals
- Deep Learning
- Big Data Technologies
- Natural Language Processing (NLP)
- Capstone Project
Course Highlights:
- Expert-led training
- Cutting-edge curriculum
- Hands-on experience
- Career support
- Flexible learning options
| Name | Data Science with Machine Learning |
| Course Duration | 3 Months |
| Website | https://cetpatechnology.com/ |
| Address: | CANARA BANK BUILDING, General Mahadev Singh Rd, near HANUMAN MANDIR, Balliwala Chowk, Vijay Park Extension, Dehradun, Uttarakhand 248001 |
| Fees: | INR 35,000 |
| Avg. Google Rating: | 5 |
| Offering DM Training in Chennai Since: | 2002 |
| Branches in India: | 1 |
| Flagship Course Names: | NA |
| Exclusive Data Science Training Institute: | No |
| Training Delivery Model | Online/ Offline |
Who should learn Data Science in Dehradun?
Data Science training in Dehradun is a thriving domain suited for individuals passionate about data analysis, problem-solving, and technology. It appeals to aspiring data scientists, IT professionals, analysts, and recent graduates seeking fulfilling career paths. To excel, choosing the finest data science institute in Dehradun for comprehensive training is key. These institutes offer robust courses covering data analysis, machine learning, and data visualization—ideal for those aspiring to thrive in the data-driven landscape. Acquiring these skills from a premier data science institute in Dehradun opens doors to numerous opportunities in today’s competitive job market.
Why should you study Data Science?
Graduation Degree program is Not Enough:
Merely possessing a graduation degree program isn’t sufficient in today’s competitive landscape. To stand out, students need specific, hands-on skills that set them apart from the pool of graduates.
High Demand for Data Science Roles:
Data Science is witnessing soaring demand for professionals. India is predicted to generate over 11 million job opportunities in this field within the next five years, with an anticipated 200% increase by 2026.
Embarking on a Fulfilling Career:
This presents an enticing opportunity for individuals to embark on a highly rewarding career. Freshers stepping into data science and analytics roles can anticipate average salaries ranging from 9 to 12 lakhs per annum. Moreover, these roles exhibit impressive year-on-year growth, promising a prosperous professional journey.
Career Scope in Data Science in Dehradun:
Data science is a rapidly expanding field with a substantial demand for skilled professionals, especially in developing regions like India. Here’s an in-depth overview of the career scope for data science in India:
High Demand for Data Scientists: In India, the demand for data scientists surpasses the available talent. Organizations across various sectors increasingly recognize the value of data-driven decision-making. Reports, such as the India Skills Report 2023, list data scientists among the top five most sought-after professionals in India.
Diverse Applications of Data Science: Data science finds application across multiple industries like finance, healthcare, e-commerce, manufacturing, and retail. This diversity provides ample opportunities for specialization and engagement in challenging projects.
Attractive Salaries: Data scientists are among the highest-paid professionals in India, with average salaries ranging from 7 to 15 lakhs per annum. Experienced data scientists can command even higher salaries, up to 20 lakhs or more.
Continuous Growth Potential: Data science is an ever-evolving field, offering opportunities for continuous learning and skill enhancement. This makes data scientists invaluable assets to organizations.
Government Job Opportunities: The Indian government is increasingly investing in data science initiatives, creating job openings for data scientists in governmental departments and agencies.
Specific Career Paths in Data Science:
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Big Data Engineer
- Data Architect
Mastering Data Science Tools
Join Digiperform’s ‘Mastering Data Science Tools’ course to explore the realm of data science. This program delves deep into Python, R programming, and advanced machine learning techniques, enabling you to derive vital insights from data proficiently. Acquire hands-on expertise with industry-relevant tools, preparing yourself to tackle real-life data complexities. Enhance your abilities and broaden career opportunities in the data science domain with Digiperform’s comprehensive and practical training.
Data Science Salaries for Freshers in Dehradun:
In Dehradun, the rapidly growing field of data science offers lucrative salaries even for freshers. On average, a data science fresher in Dehradun can expect an annual salary between ₹3.5 Lakhs to ₹6 Lakhs. This can vary based on the company, candidate’s skills, experience, and the specific role.
| Experience Level | Average Annual Salary |
| Fresher | ₹4.5 lakhs to ₹7 lakhs |
| 1-2 years of experience | ₹6 lakhs to ₹9 lakhs |
| 3-5 years of experience | ₹9 lakhs to ₹12 lakhs |
| 5+ years of experience | ₹12 lakhs to ₹20 lakhs |
Current Job Openings in Data Science in Dehradun
In Dehradun, there is a significant surge in job vacancies within the field of Data Science, mirroring the city’s increasing focus on technology and analytical practices. Various industries, including IT, finance, and healthcare, actively scout for proficient individuals to fill roles such as Data Scientist, Analyst, and Machine Learning Engineer.
The burgeoning demand for professionals capable of deriving insights from data presents a multitude of opportunities for those in the Data Science realm in Dehradun. This presents an optimal moment for job seekers to explore fulfilling and influential career paths within this vibrant and evolving domain.
You may find relevant job listings on websites like Naukri.com, Linkedin.com, Indeed.com, and several others.
FAQs: Data Science Course
What distinguishes Digiperform's Data Science courses from others in the market?
Digiperform's Data Science courses stand out for their practical approach and relevance to industry needs. Our curriculum is crafted by experts, blending theoretical knowledge with hands-on projects, ensuring our learners gain a deep understanding of real time applications. The emphasis on cutting-edge tools and techniques sets our courses apart, preparing our students for success in the rapidly evolving field of Data Science.
How long does it typically take to complete a Data Science course at Digiperform?
The duration varies based on the specific Data Science course you choose. Whether it's a comprehensive program or a specialized module, we offer flexible learning paths to accommodate different schedules. You can explore our course catalog to find the program that aligns with your goals and time availability.
Can someone with no prior experience in programming or statistics enroll in Digiperform's Data Science courses?
Absolutely! Our Data Science courses are designed to cater to individuals with diverse backgrounds. We start from the fundamentals, providing a solid foundation in programming and statistics. The courses gradually progress to advanced topics, ensuring a seamless learning experience for both beginners and those looking to enhance their existing skills.
What kind of support do Digiperform students receive during and after the Data Science course?
Digiperform is committed to providing comprehensive support to our Data Science students. Throughout the course, you'll have access to experienced mentors, live sessions, and a collaborative learning environment. After completion, our alumni network, job assistance, and continuous updates on industry trends ensure ongoing support as you embark on your Data Science career.
Can I pursue a Data Science course at Digiperform while working full-time?
Certainly! Our Data Science courses are designed to be flexible, allowing you to balance your studies with professional commitments. With a combination of recorded and live sessions, you can tailor your learning experience to suit your schedule, making it feasible for working professionals to upskill in Data Science Training In Dehradun.
What certifications are offered upon completing a Data Science course at Digiperform?
Upon successful completion of a Data Science course at Digiperform, you will receive a data science certification that is recognized in the industry. These certificates validate your expertise in Data Science and enhance your marketability. We continuously update our courses to align with industry standards, ensuring the relevance and value of your data science certification.
Does Digiperform provide assistance with job placement for Data Science graduates?
Yes, Digiperform is committed to supporting the career growth of our Data Science graduates. We offer job placement assistance, including resume building, interview preparation, and job referrals. Our strong network within the industry facilitates opportunities for our students to transition into rewarding roles in the field of Data Science.
How can I stay updated on the latest developments in Data Science after completing a course at Digiperform?
Digiperform promotes a culture of continuous learning. After completing your course, you'll have access to our alumni network, exclusive webinars, and updated content. Our blog and social media channels provide a steady stream of insights, keeping you abreast of the latest trends and advancements in the dynamic field of Data Science.
