
- Instructor: Peter Emmanuel
- Lectures: 11
- Quizzes: 3
- Duration: 10 weeks
Learning Python for Data Analysis and Visualization – From Beginner to Pro
Unlock the power of Python to analyze data, create insights, and visualize results like a pro. This course guides you step-by-step through Python basics, data manipulation, and professional-grade visualizations.
What You’ll Learn:
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Python programming fundamentals
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Data cleaning and manipulation with Pandas
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Numerical computing with NumPy
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Data visualization with Matplotlib & Seaborn
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Creating interactive charts and dashboards
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Real-world data analysis projects
Whether you’re starting your data science journey or upskilling for your career, this app offers clear lessons, practical examples, and hands-on exercises to help you gain job-ready skills in data analysis and visualization.
Turn data into knowledge – and knowledge into action – with Python!
Curriculum
- 4 Sections
- 11 Lessons
- 10 Weeks
- OverviewIn this section we'll show you how this course has been structured and how to get the most out of it. We'll also show you how to solve the exercises and submit quizzes.2
- BasicsIn this section you'll learn some basic concepts of programming languages and how to use them. You'll also learn how to write clean code using different code editors and tools.7
- 2.1Working with Strings – Part 1040 Minutes
- 2.2Working with Numbers – Part 1035 Minutes
- 2.3Tuples, Sets, and Booleans – Part 1020 Minutes
- 2.4Regular Expressions – Part 1020 Minutes
- 2.5Version Control – Part 1030 Minutes
- 2.6Function Exercises – Part 1010 Minutes3 Questions
- 2.7Model Forms Exercise – Part 1010 Minutes3 Questions
- AdvancedIn this section you'll learn some core concepts of Object Oriented Programming. You'll also learn how to structure the data, debug and handling exceptions.4
- ConclusionLorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type.1