Shubham Thakur
Data Science & Power BI Instructor
"Shubham made Data Science and Power BI easy and practical!" – Ananya P.
Data Science & Power BI Curriculum
Class 1: Introduction to Data Science
Objectives: Understand Data Science fundamentals
Key Topics: Data Science overview, Tools & software setup, Python basics
Outcome: Ready to start analyzing data
Class 2: Python for Data Analysis
Objectives: Learn Python libraries for data handling
Key Topics: NumPy, Pandas, Data cleaning & manipulation
Outcome: Prepare datasets for analysis
Class 3: Data Visualization
Objectives: Visualize data effectively
Key Topics: Matplotlib, Seaborn, Plotly, Charts & Graphs
Outcome: Create insightful visualizations
Class 4: Introduction to Power BI
Objectives: Learn Power BI basics and dashboards
Key Topics: Power BI interface, Data import, Basic visuals
Outcome: Build simple dashboards
Class 5: Advanced Power BI
Objectives: Master advanced Power BI techniques
Key Topics: DAX formulas, Data modeling, Interactive dashboards
Outcome: Create professional reports
Class 6: Statistics & Machine Learning Basics
Objectives: Understand statistical analysis and ML concepts
Key Topics: Descriptive statistics, Regression, Classification basics
Outcome: Apply ML models to datasets
Class 7: Data Projects
Objectives: Work on real-world data projects
Key Topics: End-to-end project workflow, Power BI dashboards, Python data analysis
Outcome: Build portfolio-ready projects
Class 8: Deployment & Capstone
Objectives: Deploy projects & finalize capstone
Key Topics: Sharing Power BI dashboards, GitHub workflow, Capstone project submission
Outcome: Showcase projects live & complete course