Module 7: Python for Data Analysis – Pandas

• Introduction to Pandas and its significance in data analysis
• Working with DataFrames and analyzing missing data
• Merging, joining, and concatenating raw data
• Data input and output operations

Module 8: Data Visualization with Matplotlib

• Importing data into Matplotlib for visualization
• Utilizing Matplotlib and Seaborn for plotting graphs
• Enhancing the visual appearance of plots

Module 9: Working With Text

• Understanding string vs. object data types
• Indexing string series and using text-related functions

Module 10: Combining Series & DataFrames

• Concatenating series and DataFrames by index
• Exploring inner vs. outer joins

Module 11: Introduction to Seaborn

• Creating scatterplots, line plots, histograms, and categorical plots with Seaborn

Final Project & Course Wrap-up

• Hands-on project: Analyzing and visualizing a dataset
• Discussion and participant presentations
• Course feedback and Q&A
• Certificate distribution