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Professional Certificate in Data Analytics and Generative AI
The Professional Certificate in Data Analytics and Generative AI combines data analysis skills with generative AI techniques to help you solve complex problems and create innovative solutions.
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Updated 11/2025
Hinglish
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Course Description
Fast-track your career with comprehensive coverage of Excel, SQL, ETL, Power BI, Python programming, data visualization, generative AI literacy, real-world AI applications, and a capstone project, supplemented by electives in data ethics and industry masterclasses.
1. Introduction to Data Analytics and Generative AI
4 Lectures
Overview of Data Analytics and Generative AI
The Role of Data in AI and Decision-Making
Generative AI Fundamentals and Core Concepts
Synergy Between Data Analytics and Generative AI Applications
2. Fundamentals of Python for Data and AI
4 Lectures
Introduction to Python and Its Importance in Data & AI
Python Basics: Variables, Data Types, and Control Structures
Functions, Modules, and Working with Libraries
Data Handling and Analysis Using NumPy and Pandas
3. Data Analysis and Visualization
4 Lectures
Introduction to Data Analysis and Visualization
Data Cleaning, Preparation, and Exploration
Techniques for Statistical and Exploratory Data Analysis
Visualizing Data with Python: Matplotlib, Seaborn, and Plotly
4. Statistics and Probability for Data Analytics
5 Lectures
Introduction to Statistics and Probability Concepts
Descriptive Statistics: Summarizing and Visualizing Data
Probability Distributions and Sampling Techniques
Inferential Statistics: Hypothesis Testing and Confidence Intervals
Correlation, Regression, and Predictive Insights
5. Machine Learning for Data Analytics
4 Lectures
Introduction to Machine Learning and Its Role in Data Analytics
Supervised Learning: Regression and Classification Techniques
Unsupervised Learning: Clustering and Dimensionality Reduction
Model Evaluation, Validation, and Performance Metrics
6. Advanced Analytics and Predictive Modeling
4 Lectures
Introduction to Advanced Analytics and Predictive Modeling Concepts
Feature Engineering and Data Preparation for Predictive Models
Advanced Regression, Classification, and Ensemble Techniques
Time Series Forecasting and Trend Analysis
7. Introduction to Generative AI
5 Lectures
Understanding Generative AI: Concepts and Evolution
Key Techniques Behind Generative Models (GANs, VAEs, Diffusion)
Applications of Generative AI Across Industries
Ethical Considerations and Challenges in Generative AI
Future Trends and Innovations in Generative AI
8. Generative AI Tools and Applications
5 Lectures
Overview of Popular Generative AI Tools and Platforms
Hands-on with Image Generation Tools (DALL·E, Midjourney, Stable Diffusion)
Exploring Text Generation Tools (ChatGPT, Claude, Gemini, etc.)
Generative AI for Audio, Video, and Code Creation
Integrating Generative AI Tools into Real-World Applications
9. AI Integration with Data Analytics
4 Lectures
Overview of AI Integration in Data Analytics Pipelines
Automating Data Preparation and Feature Engineering with AI
Enhancing Predictive Analytics Using Machine Learning Models
Integrating AI for Real-Time and Stream Data Analysis
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Frequently Asked Questions
This course provides comprehensive knowledge with practical examples for
beginners and professionals.
No prior experience required. We start with basics and progress to
advanced topics.
₹15,000
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