Curriculum
Topic 1: Python Basics 2 Lessons
-
Lesson 1: Data Types, Variables & Operators
-
Lesson 2: Loops, Functions & File Handling
Topic 2: Data Analysis with Pandas 2 Lessons
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Lesson 1: Loading & Exploring Datasets
-
Lesson 2: Filtering, Grouping & Aggregating Data
Final assessment 2 Quizzes
- Python & Pandas Essentials Quiz Pass: 80%
- Python for Data Science – Knowledge Check Quiz Pass: 60%
About This Course
Turn raw data into real insight using Python. This course covers everything from core programming concepts to data wrangling with Pandas and building visualizations with Matplotlib and Seaborn. It's built for people who want practical, job-relevant skills — not just theory.
What you will learn
- Write Python code for data manipulation and analysis
- Load, clean, and explore datasets with Pandas
- Build charts and visualizations with Matplotlib and Seaborn
- Identify trends and patterns in real-world data
- Structure a basic data analysis workflow
Requirements
- Install Python 3.x and Jupyter Notebook before starting (guide provided)
- No prior programming experience strictly required, but helpful
- A computer with at least 4GB RAM recommended
Target audience
- Aspiring data analysts and data scientists
- Business professionals who work with data regularly
- Python beginners interested in data careers
Materials included
- Sample datasets (CSV format)
- Jupyter Notebook exercise files
- Python cheat sheet (PDF)
Course Curriculum 2 Sections • 4 Lessons • 2 Quizzes
Topic 1: Python Basics 2 Lessons
-
Lesson 1: Data Types, Variables & Operators
-
Lesson 2: Loops, Functions & File Handling
Topic 2: Data Analysis with Pandas 2 Lessons
-
Lesson 1: Loading & Exploring Datasets
-
Lesson 2: Filtering, Grouping & Aggregating Data
Final assessment 2 Quizzes
- Python & Pandas Essentials Quiz Pass: 80%
- Python for Data Science – Knowledge Check Quiz Pass: 60%
Meet Your Instructor
admin
3 Courses
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