Lecture 3: Data Exploration and Descriptive Statistics
Lecture 4: Data Visualization in Excel
Lecture 5: Excel Formulas and Functions for Data Science
Lecture 6: Advanced Excel Features for Data Science
Lecture 7: Regression Analysis and Predictive Modeling
Lecture 8: Optimization and Solver
Lecture 9: Data Science and Machine Learning Concepts
Lecture 10: Advanced Statistical Techniques
Lecture 11: Time Series Analysis and Forecasting
Lecture 12: Building Reports and Dashboards
This course introduces learners to the powerful capabilities of Excel for data science. Covering everything from data cleaning and exploration to visualization, statistical analysis, and predictive modeling, students will develop practical skills for extracting insights using Excel. Topics include advanced formulas, regression analysis, optimization with Solver, time series forecasting, and building interactive dashboards. Perfect for beginners and professionals alike, this course bridges the gap between Excel proficiency and data science application.