Master
Data Science Courses In Bhopal
India’s Only Data Science Training Program created to help you to build a successful career in Data Science from scratch.
Top 8 Data Science Courses in Bhopal with Placements
In the bustling city of Bhopal, where tradition meets modernity, the demand for expertise in data science training has become increasingly evident. As businesses and organizations in Bhopal strive to harness the power of data to make informed decisions, the importance of skilled professionals in the field has grown exponentially. To cater to this rising need, Bhopal now hosts a diverse array of data science training courses, empowering aspiring individuals to delve into the realm of analytics, machine learning, and data-driven insights.
The city’s unique blend of heritage and technological innovation provides a distinctive backdrop for those embarking on a journey into data science. Bhopal’s educational landscape has evolved to incorporate specialized courses that cater to both beginners and experienced professionals seeking to enhance their skills. With state-of-the-art facilities and experienced instructors, these courses not only equip students with the technical know-how but also contextualize their learning within the local business environment. As Bhopal positions itself as a hub for data-driven innovation, these data science courses play a pivotal role in shaping the future workforce, ready to navigate the intricate landscape of data analytics in this vibrant city.
Comparison Chart: Top 8 Data Science Courses in Bhopal with Placement.
If you are looking for the best and most reliable information regarding Data Science courses in Bhopal, 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 | Yes |
| 2 | Cybrom | Online & Offline | 2007 | Na | Yes |
| 3 | Talent Spiral | Online & Offline | 2020 | 48,000 | Yes |
| 4 | Intellipaat | Online | 2011 | ₹ 75,012 + GST | Yes |
| 5 | ExcelR | Online | 2014 | 54999 | Yes |
| 6 | DataMites | Online | Na | ₹ 43,995 – 82,845 | Yes |
| 7 | 360 DigiTMG | Online | 2013 | ₹1,85,000 | Yes |
| 8 | IIM SKILLS | Online | 2023 | ₹ 49,900 | Yes |
What is Data Science and its Importance?
Data Science is a diverse field that involves extracting valuable insights from both organized and unorganized data. It blends methods from statistics, math, computer science, and specific areas of knowledge to study data and make well-informed choices.
Significance of Data Science: Smart Decision-Making: Data Science empowers businesses to make smart decisions based on data analysis. By looking at large sets of data, organizations can gather useful insights that guide their plans and day-to-day operations.
Predicting Trends: Data Science allows the use of models and machine learning to predict future trends and results. This helps in making decisions beforehand and planning for the future.
Improving Businesses: By studying data, businesses can find areas where they can work more efficiently, streamline processes, and improve overall performance. This results in better use of resources and cost-effectiveness.
Personalized Experiences: Data Science is vital in creating personalized experiences for users. Whether in online shopping, entertainment, or social media, understanding how users behave helps in offering personalized recommendations and services.
Detecting Fraud and Ensuring Security: Data Science is crucial in developing strong security measures and systems to detect fraud. By studying patterns and irregularities in data, organizations can find and prevent potential security threats.
Advancements in Healthcare: In healthcare, Data Science contributes to personalized treatments, predicting diseases, and optimizing medical care. Analyzing patient data helps healthcare professionals make more accurate diagnoses and suggest personalized treatments.
Boosting Scientific Research: Data Science is widely used in scientific research to analyze complex data sets, simulate experiments, and reach meaningful conclusions. It speeds up discoveries across various scientific fields.
Understanding Customers: Analyzing customer behavior through data helps businesses tailor their products and services to match customer preferences, leading to higher customer satisfaction and loyalty.
Top 8 Data Science Courses in Bhopal
1. Digiperform
Digiperform stands out as India’s largest training provider, specializing in digital skills. Our comprehensive course curriculum is meticulously crafted by a team of over 50 experts hailing from the Data Science industry. We actively seek input and suggestions from 450 innovative businesses across Asia to ensure our courses stay ahead of industry trends.
Our curriculum is thoughtfully designed to encompass 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, combining practical exercises, research, and assignments to provide you with a well-rounded and practical learning experience.
Why Choose Digiperform Online Data Science Course?
Choosing an online data science course is a significant decision, and Digiperform offers several compelling reasons for individuals looking to build a career in data science. Here are some key factors that make Digiperform’s online data science course a valuable choice:
Comprehensive Curriculum: Digiperform’s data science course is designed to provide a comprehensive understanding of the key concepts and tools in the field. The curriculum covers a range of topics, including statistical analysis, machine learning, data visualization, and more.
Industry-Relevant Content: The course content is tailored to meet the demands of the industry, ensuring that students acquire skills and knowledge that are directly applicable to real-world scenarios. This industry relevance enhances the employability of individuals completing the course.
Practical Hands-On Learning: Digiperform emphasizes practical, hands-on learning experiences. Students have the opportunity to work on real-world projects, enabling them to apply theoretical concepts to solve practical problems commonly encountered in the field of data science.
Experienced Instructors: The online data science course is facilitated by experienced instructors who bring industry expertise to the virtual classroom. This ensures that students receive quality instruction and guidance throughout the learning journey.
Flexibility and Convenience: Digiperform’s online data science course offers flexibility, allowing students to learn at their own pace and from the comfort of their own space. This flexibility is particularly beneficial for working professionals and individuals with busy schedules.
Supportive Learning Environment: The online learning platform provides a supportive environment for students. They have access to resources, discussion forums, and can connect with instructors, fostering a collaborative and engaging learning experience.
Placement Assistance: Digiperform often provides placement assistance to students completing their data science course. This support can be invaluable for individuals seeking to transition into a data science career or enhance their existing roles.
Certification: Upon successful completion of the course, students receive a certification from Digiperform, which can be a valuable addition to their resumes. This certification attests to the skills and knowledge gained during the program.
Continuous Updates: The field of data science is dynamic, and Digiperform ensures that its course content is regularly updated to reflect the latest industry trends, tools, and techniques. This commitment to staying current enhances the relevance of the learning experience.
Affordable Pricing: Digiperform strives to make quality education accessible. The course is often priced competitively, making it a cost-effective option for individuals seeking to invest in their data science education.
Data Science Online Course: Advantages
Embark on a transformative journey into the world of data science with Digiperform’s comprehensive online course. Here are key advantages that set our program apart:
Holistic Curriculum for Modern Demands: Our data science course is meticulously crafted to encompass the entire spectrum of data science, from fundamental concepts to advanced techniques. You will gain proficiency in statistical analysis, machine learning, data visualization, and more, ensuring you are well-equipped for the demands of the modern data-driven landscape.
Project-Centric Learning Experience: At Digiperform, we believe in learning by doing. Our course places a strong emphasis on practical, hands-on learning through real-world projects. This approach ensures that you not only understand theoretical concepts but also develop the skills to apply them effectively in practical scenarios.
Expert Guidance from Industry Practitioners: Learn from the best in the industry! Our course is facilitated by experienced instructors who bring real-world insights and practical expertise to the virtual classroom. Benefit from their guidance and industry knowledge as you navigate the complexities of data science.
Flexibility Tailored to Your Schedule: Life is busy, and we understand that. Our online data science course offers unparalleled flexibility, allowing you to learn at your own pace and convenience. Whether you’re a working professional or a student, our course adapts to your schedule.
24/7 Access to Learning Resources: Dive into a wealth of learning resources available round the clock. Our online platform provides access to a variety of materials, including lecture recordings, reading materials, and practical guides. This ensures you have the support you need whenever you choose to learn.
Engaging and Supportive Learning Community: Join a community of like-minded learners and experts. Our online forums and discussion groups foster collaboration and engagement. Connect with instructors and peers, share insights, and seek guidance, creating a supportive learning environment.
Certification for Career Advancement: Upon successful completion of the course, receive a prestigious certification from Digiperform. This certification is a testament to your proficiency in data science and can significantly enhance your credibility in the job market.
Practical Job Placement Assistance: At Digiperform, we understand the importance of bridging the gap between education and employment. Benefit from our job placement assistance, where we guide you on how to navigate the job market, polish your resume, and prepare for interviews.
Continuous Curriculum Updates: The world of data science evolves rapidly. Our commitment to excellence means that our course content is regularly updated to reflect the latest trends, tools, and techniques in the industry. Stay ahead of the curve with the most relevant and cutting-edge knowledge.
Affordable Excellence: Quality education should be accessible to all. Digiperform’s data science course is priced competitively, providing exceptional value for your investment in education. We believe in empowering individuals with the skills they need for a successful career in data science.
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. Cybrom
Cybrom Technology in Bhopal, Madhya Pradesh, a reputable institute offering 17 diploma and certificate courses in full-time mode. Their institute stands out with four diverse undergraduate programs in IT & Software Studies. Renowned for courses in Data Science, Their experienced faculty ensures hands-on learning. Join Them to develop professional-level expertise and boost your job prospects with Their industry-oriented courses. Cybrom Technology is your gateway to programming, cybersecurity, and data science excellence.
Course Curriculum:
- Python,
- R Python Library (Numpy, Panda)
- SQL,
- Adv. Excel
- Machine Learning
- Big Data
- Tableau
- Power BI
- Deep Learning,
- NLP
- Computer Vision
Course Highlights:
- 100% job opportunity
- Multiple hands-on sessions
- No Cost EMI Options available
- Career coaching (CV, motivational interviewing)
- Dedicated Student Success Mentor
- Industry Experienced Instructor led
- 360 degree Placement Assistance
- 12 Employability tests for job readiness
| Name | Cybrom |
| Course Duration | 11 Months |
| Website | https://cybrom.com/ |
| Address: | 185, Zone-I, Maharana Pratap Nagar, Bhopal, Madhya Pradesh 462011 |
| Fees: | NA |
| Avg. Google Rating: | 4.1 (314) |
| Offering DS Training in Bhopal Since: | 2007 |
| Branches in India: | 1 |
| Flagship Course Names: | Data Science Training in Bhopal With Ai |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online /Offline |
3. Talent Spiral
Talent Spiral is a worldwide IT company at the forefront of tech innovations and digital solutions. Their goal is to provide excellent technical services worldwide and empower people with high-quality training program. The Data Science Institute at Talent Spiral provides a modern curriculum to keep students competitive in the ever-changing field of Data Science Training in Bhopal. They enhance learning for university students, professionals, and interns with a global outlook. They are dedicated to boosting personal brands by using the latest tools and techniques.
Course Curriculum:
- Introduction to Data Science Course
- Data Types and Data Exploration
- Introduction to Excel for Data Analysis
- Data Visualization with Tableau
- Introduction to Python for Data Science
- Data Acquisition and Preprocessing
- Data Visualization and Storytelling
- Data-Driven Decision Making and Inference
- Data Visualization and Storytelling
- Ethical Considerations in Data Science
- Final Project
Course Highlights:
- Lifetime Access
- Certification
- Live Projects
- 100% Job Placement Assistance
- Industry Experienced Instructor led
| Name | Talent Spiral |
| Course Duration | 9 Months |
| Website | https://talentspiral.com/ |
| Address: | Amer Complex, HIG – 4, Anna Nagar, Zone-II, Maharana Pratap Nagar, Bhopal, Madhya Pradesh 462011 |
| Fees: | 48,000 |
| Avg. Google Rating: | 4.8 (54) |
| Offering DS Training in Bhopal Since: | 2020 |
| Branches in India: | 1 |
| Flagship Course Names: | Data Science Certification Course |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online /Offline |
4. Intellipaat
Intellipaat is a global leader in online professional training, offering certification programs in over 150 technologies. Established in 2011, it has quickly become a premier institute in Big Data, Data Science Training, AI, Business Intelligence, Cloud, Blockchain, and more. Known for industry-designed courses, Intellipaat provides online, corporate, and self-paced training program options. In just three years, it has solidified its position as a top choice for Big Data and Business Intelligence training program. The institute empowers professionals with up-to-date skills to navigate the dynamic tech landscape.
Course Curriculum:
- Linux and Python
- Data wrangling with SQL
- Python with Data Science course includes Data visualization, Data Mining, Data Interpretation
- Linear Algebra and Advanced Statistics
- Machine Learning and Prediction Algorithms
- Supervised and Unsupervised Learning in ML
- Data Science tools: PowerBI, Tensorflow, Scipy
- Deep Learning
- Deploying Machine Learning Models With Cloud
- Data Analysis with MS-Excel ( Self Paced)
Course Highlights:
- Placement Assistance
- Mock Interview Preparation
- Career Oriented Sessions
- Resume & LinkedIn Profile Building
- Certification
- Live Projects
| Name | Intellipaat |
| Course Duration | 7 Months |
| Website | https://intellipaat.com/data-scientist-course-training-bhopal/ |
| Address: | NA |
| Fees: | ₹ 75,012 + GST |
| Avg. Google Rating: | 4.4 (6,989) |
| Offering DS Training in Bhopal Since: | 2011 |
| Branches in India: | NA |
| Flagship Course Names: | Advanced Certification Program in Data Science |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online |
5. ExcelR
ExcelR Training Institute in Bhopal opens doors for you to master the latest IT skills crucial for the software workplace. Their extensive courses cover a range of cutting-edge technologies like Data Science, Artificial Intelligence, Machine Learning, Blockchain, and more. Taught by certified and seasoned professionals from the IT industry, their training ensures you stay ahead in this ever-evolving field.
At ExcelR, they prioritize hands-on learning and provide access to software demos for practical application. Demonstrating their dedication to real-world readiness, students actively participate in live projects and assignments, gaining valuable simulation experiences. Choose ExcelR for a learning journey that equips you with the skills and certifications needed in today’s dynamic software landscape.
Course Curriculum:
- Data Science Project Lifecycle
- Introduction To Basic Statistics Using R And Python
- Probability And Hypothesis Testing
- Exploratory Data Analysis -1
- Linear Regression
- Logistic Regression
- Deployment
- Data Mining Unsupervised Clustering
- Dimension Reduction Techniques
- Association Rules
- Recommender System
- Introduction To Supervised Machine Learning
- Decision Tree
- Exploratory Data Analysis – 2
- Feature Engineering
- Model Validation Methods
- Ensembled Techniques
- KNN And Support Vector Machines
- Regularization Techniques
- Neural Networks
- Text Mining
- Natural Language Processing
- Naive Bayes
- Forecasting
- Survival Analysis
- End To End Project Description With Deployment
- Assignments/Projects/Placement Support
Course Highlights:
- Assignments
- Tailored Course Curriculum
- Career Oriented Sessions
- Placement Assistance
- Certification
- Live Projects
| Name | ExcelR |
| Course Duration | 6 Months |
| Website | https://www.excelr.com/data-science-course-training-in-bhopal/ |
| Address: | NA |
| Fees: | ₹ 54999 |
| Avg. Google Rating: | 4.4 (121) |
| Offering DS Training in Bhopal Since: | 2014 |
| Branches in India: | NA |
| Flagship Course Names: | Data Science Certification Course |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online |
6. DataMites
DataMites stands out as a top-notch training provider in analytics. They provide affordable, high-quality courses covering Data Science and Machine Learning, available through online or in-person classes in major cities. Their well-crafted curriculum includes Certified Data Science, Python for Data Science, and Machine Learning Foundation. They emphasize personalized learning, giving you the option of flexible online classes over two months or self-paced e-Learning. The instructor led, who bring real-world experience, make sure the content stays current and practical. Whether you’re just starting, a tech professional, or part of a company, DataMites has courses tailored to various needs.
Course Curriculum:
- Python Foundation
- Data Science Foundation
- Machine Learning Expert
- Advanced Data Science
- Version Control With Git
- Big Data Foundation
- Certified Bi Analyst
- Database: Sql And Mongodb
- Artificial Intelligence Foundation
Course Highlights:
- IABAC® & NASSCOM® Certification
- 8-Month | 700 Learning Hours
- 120-Hour Classroom Sessions
- 25 Capstone & 1 Client Project
- Cloud Lab Access
- Internship + Job Assistance
| Name | DataMites |
| Course Duration | 120-Hour |
| Website | https://datamites.com/data-science-course-training-bhopal/ |
| Address: | NA |
| Fees: | ₹ 43,995 – 82,845 |
| Avg. Google Rating: | 4.8 · (10,150) |
| Offering DS Training in Bhopal Since: | NA |
| Branches in India: | 4 |
| Flagship Course Names: | CERTIFIED DATA SCIENTIST |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online |
7. 360 DigiTMG
In collaboration with IBM, 360 DigiTMG brings top-notch Data Analytics Courses to students globally, using a blend of online and traditional learning. With over 20 years of industry expertise, they’ve trained professionals and students worldwide, numbering 20,000+ and 10,000+, respectively. The Data Analytics course at 360 DigiTMG covers Data-Based Management Systems and Document-Based Management Systems, teaching how to handle and analyze large datasets. The curriculum includes essential tools like SQL, NoSQL, Tableau, PowerBI, and Advanced Excel concepts.
Course Curriculum:
- Professional Data Science & AI
- Data Engineering
- ML on Cloud
- MLOps
Course Highlights:
- Additional Assignments of over 300+ hours
- Job Placement in Data Science & AI fields
- Live Free Webinars
- Complementary Courses
- Resume and LinkedIn Review Sessions
- Lifetime LMS Access
- 24/7 Support
| Name | 360 DigiTMG |
| Course Duration | 260+ hours |
| Website | https://360digitmg.com/ |
| Address: | NA |
| Fees: | ₹1,85,000 |
| Avg. Google Rating: | 4.7 (18) |
| Offering DS Training in Bhopal Since: | 2013 |
| Branches in India: | 8 |
| Flagship Course Names: | Practical Data Science & Deployment Specialist Executive Program |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online |
8. IIM SKILLS
IIM SKILLS is a top-quality school that has been sharing excellent knowledge since 2015. Over 35,000 professionals from 35+ countries have been trained here. Their data analytics course, guided by experts with 12+ years of experience, ensures you stay ahead in the field. The current curriculum, focus on students, and constant support help you do well in this ever-changing field. Join their successful community with over 9,500 training sessions given in the past 8 years. It doesn’t matter if you’re starting, restarting, or moving forward in your career.
Course Curriculum:
- Data Analytics Using Advance Excel
- Data Analytics Using VBA
- Data Analytics Using SQL
- Data Analytics Using Power BI
- Data Analytics Using Python-1
- Data Analytics Using Python-2
- Data Analytics Using Tableau
- R For Data Science
- Data Analytics Using Alteryx
Course Highlights:
- Master Certification
- 100% Tools Driven Training
- Lifetime Access
- 24×7 Support
- Practical Learning
| Name | IIM SKILLS |
| Course Duration | 160 Hours |
| Website | https://iimskills.com/ |
| Address: | NA |
| Fees: | ₹ 49,900 |
| Avg. Google Rating: | 4.9 (264) |
| Offering DS Training in Bhopal Since: | 2023 |
| Branches in India: | 8 |
| Flagship Course Names: | Data Analytics Master Course |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online |
Who should learn Data Science in Bhopal?
In Bhopal, as in many other places globally, there is a growing demand for professionals with data science skills. Here are some groups of people who may benefit from learning data science in Bhopal:
IT Professionals: Individuals working in the IT industry can enhance their skill set by learning data science. This can open up opportunities in areas such as data analysis, machine learning, and artificial intelligence.
Students and Graduates: Students pursuing degrees in computer science, statistics, mathematics, or related fields can gain a competitive edge in the job market by acquiring data science skills. Many industries value data-driven decision-making.
Business Professionals: Managers, executives, and professionals in various industries can benefit from understanding data science concepts. This knowledge can aid in making informed business decisions and formulating effective strategies.
Researchers and Academics: Professionals engaged in research or academics can leverage data science for data analysis and interpretation. This is applicable across a range of disciplines, including social sciences, biology, and environmental studies.
Entrepreneurs: Individuals looking to start their own businesses can use data science to gain insights into market trends, customer behavior, and optimize business processes.
Government Employees: Those working in government departments can use data science for policy analysis, resource optimization, and improving public services.
Healthcare Professionals: In the healthcare sector, data science can be applied for medical research, predictive analytics, and improving patient care.
Finance and Banking Professionals: Professionals in the finance and banking industry can utilize data science for risk assessment, fraud detection, and investment strategies.
Marketing and Sales Professionals: Marketing and sales professionals can benefit from data science in customer segmentation, targeted marketing, and sales forecasting.
Anyone Interested in Technology: Individuals with a general interest in technology and a curiosity about data-driven insights can find learning data science to be a rewarding and intellectually stimulating experience.
Why should you study Data Science?
Studying data science offers a multitude of compelling reasons, reflecting its increasing importance in various industries. Here are some key reasons why you should consider studying data science:
High Demand for Data Scientists: There is a significant and growing demand for skilled data scientists across industries. Organizations seek professionals who can analyze and interpret complex data to inform strategic decision-making.
Lucrative Career Opportunities: Data science roles often come with competitive salaries due to the high demand for individuals with these skills. The specialized nature of data science expertise makes professionals in this field valuable to employers.
Versatility and Applicability: Data science skills are applicable across diverse industries, including healthcare, finance, marketing, technology, and more. This versatility provides opportunities to work in various domains and tackle different challenges.
Influence on Decision-Making: Data science empowers individuals to extract meaningful insights from large datasets. Professionals in this field can contribute to informed decision-making processes within organizations, influencing strategies and outcomes.
Innovation and Technological Advancements: Data science is at the forefront of technological innovation. Studying this field allows you to be part of cutting-edge advancements in machine learning, artificial intelligence, and data analytics.
Solving Complex Problems: Data science involves addressing intricate problems by leveraging statistical methods, programming, and domain knowledge. If you enjoy solving challenging puzzles and making sense of complex data, data science offers a fulfilling career path.
Contribution to Research and Development: Data scientists play a crucial role in research, contributing to advancements in fields such as healthcare, environmental science, social sciences, and more. Your work can have a tangible impact on society and scientific progress.
Continuous Learning and Evolution: The field of data science is dynamic and continually evolving. This means that professionals in this field are encouraged to engage in continuous learning, staying updated on the latest tools, techniques, and methodologies.
Global Relevance: Data science is a globally relevant skill. Whether you choose to work in your local community or pursue opportunities abroad, the demand for data science expertise is widespread.
Entrepreneurial Opportunities: Data science skills can be applied to entrepreneurial endeavors. Whether you want to start your own data-driven business or contribute to the growth of existing startups, data science provides a strong foundation for innovation.
Enhanced Problem-Solving Skills: Studying data science enhances your ability to approach problems analytically, break them down into manageable components, and develop systematic solutions. These problem-solving skills are valuable in various aspects of life and work.
Career Scope in Data Science in Bhopal
Bhopal, like many other cities globally, is witnessing a growing demand for professionals with skills in data science. The career scope in data science in Bhopal is expanding across various industries. Here are some key points illustrating the career scope in data science in Bhopal:
IT and Technology Industry: Bhopal has a developing IT sector, and data scientists are in demand to analyze large datasets, develop algorithms, and implement machine learning solutions. Technology companies are seeking professionals with expertise in data science to enhance their products and services.
Healthcare Sector: The healthcare industry in Bhopal can benefit from data science applications, such as predictive analytics for patient outcomes, optimizing hospital operations, and medical research. Data scientists can contribute to improving healthcare delivery and decision-making.
Education and Research: Educational institutions in Bhopal may require data scientists for research projects, data analysis, and optimizing educational processes. The application of data science in academic research is becoming increasingly prevalent.
Finance and Banking: Financial institutions in Bhopal can leverage data science for risk management, fraud detection, and customer analytics. Data scientists play a crucial role in developing models that enhance financial decision-making.
Manufacturing and Industrial Sectors: Bhopal has a presence in manufacturing and industry. Data science can be applied to optimize manufacturing processes, predictive maintenance, and supply chain management, contributing to operational efficiency.
Government and Public Services: Government departments in Bhopal can utilize data science for data-driven policy-making, resource allocation, and improving public services. Professionals in this field may find opportunities to work on projects that address societal challenges.
Marketing and E-Commerce: With the growth of e-commerce and digital marketing, there is a demand for data scientists in Bhopal to analyze consumer behavior, optimize marketing strategies, and enhance the overall customer experience.
Startups and Entrepreneurship: Bhopal has seen a rise in startups, and data science skills are valuable for entrepreneurs looking to make data-driven decisions, develop innovative products, and gain a competitive edge in the market.
Consulting Firms: Consulting firms in Bhopal may hire data scientists to provide insights to clients across different industries. The ability to analyze data and offer strategic recommendations is highly valuable in the consulting domain.
Telecommunications: The telecommunications industry in Bhopal can benefit from data science for network optimization, customer experience enhancement, and predictive maintenance of infrastructure.
Mastering Data Science Tools
Digiperform’s ‘Mastering Data Science Tools’ course is designed to immerse you in the realm of data science. Gain insights into Python, R programming, and state-of-the-art machine learning techniques, boosting your ability to derive valuable insights from data. Develop hands-on expertise using industry-critical tools, enabling you to address real data challenges effectively. Elevate your skills and expand your career prospects in the data science field with Digiperform’s comprehensive and practical program.
Data Science Salaries for Freshers in Bhopal
Data science is a dynamic field that combines expertise in statistics, programming, and domain knowledge to extract valuable insights from large datasets. In Bhopal, as in many other cities, there is a growing demand for freshers entering the field of data science. Salaries for freshers can vary based on factors such as educational background, skills, and the industry they choose to work in.
Salary and Job Profile for Freshers in Data Science in Bhopal:
| Job Title | Responsibilities | Average Salary Range (Per Annum) |
| Data Analyst | Analyzing and interpreting data to support decision-making. | INR 3.5 lakhs to INR 6 lakhs |
| Junior Data Scientist | Assisting in the development of machine learning models and algorithms. | INR 4 lakhs to INR 7.5 lakhs |
| Business Intelligence Analyst | Creating reports and dashboards for business insights. | INR 3 lakhs to INR 5.5 lakhs |
| Data Engineer | Designing, constructing, and maintaining data architectures. | INR 3.8 lakhs to INR 6.5 lakhs |
Current Job Openings in Data Science in Bhopal
In Bhopal, there exists a thriving job market for individuals interested in pursuing a career in data science. Many companies are actively seeking skilled professionals to bring their expertise and make a significant impact in the field of data. Whether you’re a newcomer or have extensive experience, Bhopal’s dynamic job landscape in data science offers a variety of opportunities. If you have a passion for coding, statistics, or enjoy solving puzzles through data analysis, there’s likely a job opening that aligns with your skills.
To stay updated on the latest job opportunities, it’s recommended to regularly check job portals, explore company websites, and participate in networking events. Bhopal’s growing tech scene ensures a plethora of job openings in data science, providing ample opportunities for those eager to dive into the world of data-driven insights. Keep a lookout on platforms such as Naukri.com, Linkedin.com, Indeed.com, and others to stay informed about potential opportunities.
FAQs: Data Science Course
What are the key factors to consider when choosing a data science course in Bhopal?
When selecting a data science course in Bhopal, consider factors such as curriculum relevance, faculty expertise, industry connections, hands-on projects, and post-course support.
Are there any specific prerequisites for enrolling in a data science course in Bhopal?
Prerequisites vary, but a strong foundation in mathematics, statistics, and programming is often recommended. Some courses may also require a basic understanding of databases and machine learning concepts.
How can I assess the credibility of a data science course provider in Bhopal?
Look for accreditations, reviews from past students, partnerships with industry leaders, and alumni success stories. Additionally, check if the course content aligns with current industry demands.
What types of projects or practical applications are included in data science courses in Bhopal?
Most data science courses include real-world projects, ranging from analyzing datasets to building machine learning models. Practical applications may cover areas like predictive analytics, data visualization, and natural language processing.
Is there any flexibility in the schedule for working professionals interested in data science courses in Bhopal?
Many institutions offer part-time or online data science courses to accommodate the schedules of working professionals. Some also provide weekend classes or evening sessions.
Can I get placement assistance after completing a data science course in Bhopal?
Check if the course provider has tie-ups with companies for placements. Some institutions offer career services, resume workshops, and networking opportunities to help students secure job placements.
What is the average duration of a data science course in Bhopal?
The duration varies depending on the course type. Short-term courses may last a few weeks, while comprehensive programs, such as postgraduate degrees, can span several months.
Are there any scholarships or financial aid options available for data science courses in Bhopal?
Inquire about scholarship programs or financial aid offered by the course providers, educational institutions, or government initiatives to support students pursuing data science education.
