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Data Visualization in Python for Beginners
Highest Rated
Rating: 4.6 out of 5(70 ratings)
4,070 students

Data Visualization in Python for Beginners

Expand on your current Python 3 skillset with Matplotlib and different data visualization/analysis techniques
Highest Rated
Created byFawz Mehfil
Last updated 12/2022
English

What you'll learn

  • 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

Course content

3 sections • 10 lectures • 1h 17m total length

  • Introduction to Data Visualization: Matplotlib Fundamentals16:13

    Learn the basics of data visualization with Matplotlib in Google Colab, plotting x and y data and applying titles, labels, colors, markers, and legends.

  • Bar Graphs in Matplotlib13:24

    Explore creating bar graphs in matplotlib with Python, plotting two demographics on the same axes, adjusting bar width and spacing, labeling axes, and adding a legend for clear comparison.

  • Pie Charts in Matplotlib11:19
  • Scatter Plots in Matplotlib7:27

    Create a scatter plot in python using matplotlib with x and y data. Customize maps, edge colors, linewidth, and marker size; apply seabourne style and a color bar labeled darkness.

  • Stack Plots in Matplotlib5:39

    Learn to create stack plots with matplotlib to visualize data growth over time, using hours as x and three contestants' scores, with labels and a legend in the upper left.

  • 2D Plots Quiz

Requirements

  • Understanding of Python fundamentals would be very helpful

Description

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.

Who this course is for:

  • Beginner Python developers interested in Data Visualization and Data Science

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