About this course
Set up the environment and master Pandas basics for data analysis.
Before We Begin
1 Parts
- 0:05 Hr
Global Implementatios
5 Min
Prerequisites & Readiness Check
2 Parts
- 1:00 Hr
Prerequisites for Complete Pandas Mastery for Data Analysis
45 Min
Pandas Environment Setup Guide
15 Min
Chapter 1: Pandas Fundamentals and Setup
2 Parts
- 0:55 Hr
Series and DataFrames
25 Min
Exercise: Setting Up and Exploring Data
30 Min
Chapter 2: Data Loading and Cleaning
3 Parts
- 1:30 Hr
Reading and Writing Data
20 Min
Basic Data Cleaning
25 Min
Exercise: Cleaning and Validating a Dataset
45 Min
Chapter 3: Data Selection and Statistics
3 Parts
- 1:15 Hr
Indexing and Slicing
20 Min
Descriptive Statistics
25 Min
Exercise: Analyzing Titanic Data
30 Min
Assignment 1
2 Parts
- 0:45 Hr
Data Exploration and Basic Analysis Pipeline
45 Min
Submit your Assignment here
Submit your Assignment here
Min Grade: 40
Chapter 4: Basic Visualization
3 Parts
- 1:15 Hr
Pandas Plotting
20 Min
Seaborn Visualizations
25 Min
Exercise: Visualizing Retail Data
30 Min
Chapter 5: GroupBy, Merging, and Pipelines
4 Parts
- 1:35 Hr
GroupBy Operations
25 Min
Merging and Joining
20 Min
Data Transformation Pipelines
20 Min
Exercise: Grouping and Aggregating Data
30 Min
Chapter 6: DateTime, Pivot Tables, and Categorical Data
4 Parts
- 1:45 Hr
DateTime Handling
20 Min
Pivot Tables
20 Min
Categorical Data
20 Min
Exercise: Pivot Table Creation and Plotting
45 Min
Assignment 2
2 Parts
- 0:45 Hr
Data Cleaning and Statistical Summary
45 Min
Submit your Assignment here
Submit your Assignment here
Min Grade: 40
Chapter 7: Performance Optimization and Big Data
3 Parts
- 1:35 Hr
Performance Optimization
25 Min
Big Data Handling
25 Min
Exercise: Scaling Analysis with Dask
45 Min
Chapter 8: Machine Learning Preprocessing
3 Parts
- 1:30 Hr
Feature Engineering
25 Min
Scikit-Learn Integration
20 Min
Exercise: Scaling and Encoding Features
45 Min
Chapter 9: Advanced Visualization and Testing
3 Parts
- 1:15 Hr
Interactive Visualizations
25 Min
Unit Testing
20 Min
Exercise: Creating Interactive Plotly Plots
30 Min
Assignment 3
2 Parts
- 0:45 Hr
Advanced Data Transformation and Reporting
45 Min
Submit your Assignment here
Submit your Assignment here
Min Grade: 40
Capstone Project 1
2 Parts
- 50:00 Hr
Time Series Sales Forecasting Tool
3000 Min
Submit Your Project here
Submit Your Project
Min Grade: 40
Capstone Project 2
2 Parts
- 50:00 Hr
End-to-End Retail Analytics Platform
3000 Min
Submit Your Project here
Submit Your Project
Min Grade: 40
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