Master NumPy, Pandas, Visualization & EDA with hands-on AI focused labs
Introduction to NumPy
Creating and Manipulating Arrays
Basic Operations on Arrays
Indexing Slicing and Reshaping
Broadcasting in NumPy
Aggregation Functions
Boolean Indexing and Filtering
Random Number Generation and Seeds
Introduction to Pandas Data Structures
Loading Data from CSV Excel and Other Sources
Basic DataFrame Operations
Handling Missing Values
Data Transformations
Combining and Merging DataFrames
Grouping Data by Categories
Aggregation Functions
Calculating Summary Statistics for Grouped Data
Introduction to Matplotlib
Basic Plots and Customization
Introduction to Seaborn
What is EDA and Steps
Identifying Patterns Trends and Correlations
EDA Project on Sample Dataset