Data Visualization in Python for Beginners
- Development
- May 09, 2025

Data Visualization in Python for Beginners, available at Free, has an average rating of 4.8, with 10 lectures, 2 quizzes, based on 68 reviews, and has 4027 subscribers.
You will learn about Work with fundamental Data Science libraries to form different kinds of datasets Master Matplotlib fundamentals and various standard graphs Learn how to visualize data using Python and Matplotlib in a clear and concise manner Use real-life applicable datasets to expand your learning Understand and work with the connection between various data science/visualization libraries Expand on your knowledge of Python 3 fundamentals This course is ideal for individuals who are Beginner Python developers interested in Data Visualization and Data Science It is particularly useful for Beginner Python developers interested in Data Visualization and Data Science.
Enroll now: Data Visualization in Python for Beginners
Summary
Title: Data Visualization in Python for Beginners
Price: Free
Average Rating: 4.8
Number of Lectures: 10
Number of Quizzes: 2
Number of Published Lectures: 10
Number of Published Quizzes: 2
Number of Curriculum Items: 12
Number of Published Curriculum Objects: 12
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
Students will learn about data visualization fundamentals in Python using Matplotlib and Numpy. They will work with a variety of datasets and graphs to optimize the start of their journey in the massive sea of data science. This course provides you with everything you need to get started and is accessible to any operating system. From learning about the basics of 2D graphs to working with 3D visualizations, students will learn and then apply their knowledge to various applications.
Through working with various common data science libraries, you’ll learn how they all tie into one another and how Matplotlib can be used to complement them. We’ll start from the basics, and move on to more advanced data sets and graphs that deal with them.
You’ll learn how to customize your graphs in terms of color, shape, size, and perspective. We’ll go through all the subtopics of graphs and their respective attributes, to help you work with them in your programs. Everything has been ordered and put together clearly and concisely, so moving from one section to the next is never an issue.
If you have any errors, problems, or questions about the course, you can ask me a question on Udemy. I will get back to you as soon as possible and will make sure to answer your question in a reasonable amount of time.
Course Curriculum
Chapter 1: 2D Plots
Lecture 1: Introduction to Data Visualization: Matplotlib Fundamentals
Lecture 2: Bar Graphs in Matplotlib
Lecture 3: Pie Charts in Matplotlib
Lecture 4: Scatter Plots in Matplotlib
Lecture 5: Stack Plots in Matplotlib
Chapter 2: 3D Plots
Lecture 1: Introduction to 3D Plots and Techniques
Lecture 2: Skills For Plotting 3D Functions
Lecture 3: Modelling Surface Plots & Meshgrids
Lecture 4: Perspective: Azimuth & Elevation
Chapter 3: Closing Remarks
Lecture 1: Conclusion
Instructors

Fawz Mehfil
Software Developer & Student
Rating Distribution
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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