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Introduction to Data Visualization with Python

by YK Sugi

Data visualization is often the first step in any type of data analysis. This course will teach you several essential data visualization techniques, when to use them, and how to implement them with Python and Matplotlib.

What you'll learn

At the core of data science and data analytics is a thorough knowledge of data visualization. In this course, Introduction to Data Visualization with Python, you'll learn how to use several essential data visualization techniques to answer real-world questions. First, you'll explore techniques including scatter plots. Next, you'll discover line charts and time series. Finally, you'll learn what to do when your data is too big. When you're finished with this course, you'll have a foundational knowledge of data visualization that will help you as you move forward to analyze your own data.

Course FAQ

What is Data Visualization?

Data visualization is the representation of information in chart, diagram or picture form. Visualization helps to see big data broken down in visual forms to be interpreted by many. 

What will I learn in the Data Visualization course?

In this course you will learn all about data visualization including:
data visualization techniques, when to use them and how to implement them using Python and Matplotlib

What prerequisites are needed?

This is an intermediate course and requires some familiarity languages such as C++, Java, JavaScript, Ruby, Python, etc.

Who should take this course?

Whether you are a software developer who wants to learn how to visualize data or a data scientist who wants to implement data with Python or simply an IT professional who wants to learn more about Data analysis, this course is definitely for you.

About the author

YK Sugi the creator of CS Dojo, a popular programming education YouTube channel. He is also a software developer and data scientist with experience at various software companies, including Google and Microsoft. He has worked on software products of various sizes, ranging from hundreds of users up to hundreds of millions of users. He is also active on Twitter and Instagram @ykdojo.

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