Introduction to Data Visualization with Python

Colleagues, the “Introduction to Data Visualization with Python” will teach you several essential data visualization techniques, when to use them, and how to implement them with Python and Matplotlib. 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. Skill-based training modules include: 1) Introduction to Jupyter, Pandas, and Matplotlib, 2) Finding Distribution of Data with Histograms, 3) Creating Time Series with Line Charts, 4) Examining Relationships in Data with Scatter Plots, 5) Comparing Data with Bar Graphs, 6) What to Do When Your Data Is Too Big, and 7) Solving Real-world Problems with Visualization.

Enroll today (teams & executives are welcome): https://pluralsight.pxf.io/Ke5bQy 

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team) https://tinyurl.com/hh7bf4m9