Introduction to Data Visualization with Python
Pluralsight
Course Summary
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.
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Course Description
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.
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Course Syllabus
Course Overview- 1m 14s
—Course Overview 1m 14sCourse Introduction- 3m 46s
—How This Course Is Structured 1m 43s
—Why Data Visualization? 0m 46s
—Why Python? 0m 32s
—Who Is This Course For? 0m 44sIntroduction to Jupyter, Pandas, and Matplotlib- 14m 58sFinding Distribution of Data with Histograms- 12m 27sCreating Time Series with Line Charts- 11m 32sExamining Relationships in Data with Scatter Plots- 15m 30sComparing Data with Bar Graphs- 9m 32sWhat to Do When Your Data Is Too Big- 11m 39sSolving Real-world Problems with Visualization- 7m 42s
