Course Description
This course takes you from the basics—like understanding data, AI, and statistics—to building your own machine learning and generative AI projects. You’ll learn Python, R, SQL, and Excel hands-on, explore data visualization, probability, and ML algorithms, and even work on a real capstone project. Plus, our employability lab helps you prep for interviews and industry life. By the end, you’ll be confident to tackle real-world data problems like a pro!
Syllabus-
- Fundamentals of Data Science & AI: Concepts of Data Science, AI, ML, Data formats, Big Data, Statistics.
- Python Programming: Basics, OOP, Data structures, Libraries, File & Database Handling, Capstone Project.
- SQL: RDBMS, Data retrieval, Joins, Subqueries, CRUD operations, DDL & Constraints.
- Excel for Data Analysis: Data cleaning, Formulas, Pivot Tables, Charts, BI Dashboards, Automation.
- Data Science Libraries: NumPy, Pandas, Matplotlib, Seaborn for Data Manipulation & Visualization.
- Statistics & Probability: Descriptive stats, Correlation, Regression, Probability, Hypothesis Testing.
- Machine Learning: Supervised & Unsupervised Learning, Neural Networks, Deep Learning, NLP, Generative AI.
- R Programming: Basics, Data Structures, Functions, Data Cleansing, Regression & Classification.
- Capstone Project: Full project lifecycle, EDA, ML implementation, Analysis report.
- Generative AI: Foundation Models, Transformers, Prompt Engineering, Tools, Responsible AI.
- Employability Lab: Mentoring, Practice, Industry grooming, Interview preparation.
- Quantitative Aptitude: Numbers, Ratios, Percentages, Time, Speed & Distance, Probability, Shortcuts.
Skills You’ll Gain:
- Work with Python & R to clean, analyze, and visualize data.
- Query and manage data using SQL.
- Build dashboards and reports in Excel & Python.
- Understand statistics, probability, and ML models.
- Create AI models, including NLP and generative AI solutions.
- Solve real-world problems with capstone projects.
- Prepare for industry with interview and employability skills.