GoLive Course Final 1818

Python data science basics for beginners

Target Audience: beginner programmers

Difficulty: Intermediate

Structure: 5 modules, 20 lessons

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Last Update	06/05/2026
Members	1

Course
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Getting Started with Python for Data Science

8Lessons ·
- Exploring Python Syntax and Basics
- Exploring Python Syntax and Basics
- Functions and Control Structures
- Functions and Control Structures
- Data Structures: Lists and Dictionaries
- Data Structures: Lists and Dictionaries
- Handling Errors and Debugging
- Handling Errors and Debugging
Data Manipulation with Pandas

8Lessons ·
- Introduction to Pandas
- Introduction to Pandas
- DataFrame Manipulation Techniques
- DataFrame Manipulation Techniques
- Data Cleaning and Preparation
- Data Cleaning and Preparation
- Grouping and Aggregating Data
- Grouping and Aggregating Data
Data Visualization with Matplotlib and Seaborn

8Lessons ·
- Introduction to Matplotlib
- Introduction to Matplotlib
- Advanced Plotting Techniques
- Advanced Plotting Techniques
- Seaborn for Statistical Data Visualization
- Seaborn for Statistical Data Visualization
- Interpreting and Presenting Data Visualizations
- Interpreting and Presenting Data Visualizations
Introduction to Statistical Analysis

8Lessons ·
- Descriptive Statistics Basics
- Descriptive Statistics Basics
- Hypothesis Testing Fundamentals
- Hypothesis Testing Fundamentals
- Correlation and Regression Analysis
- Correlation and Regression Analysis
- Interpreting Statistical Results
- Interpreting Statistical Results
Capstone Project: Data Science in Action

8Lessons ·
- Project Overview and Planning
- Project Overview and Planning
- Data Analysis and Visualization
- Data Analysis and Visualization
- Presenting Your Project Findings
- Presenting Your Project Findings
- Reflecting on Your Learning Journey
- Reflecting on Your Learning Journey