Colleagues, the “Python Data Visualization” program will teach you the basic principles of data visualization and how to implement them using various Python data visualization platforms and how to create impactful visuals, animations and dashboards. As data grows in volume and complexity, the importance of effective visualization increases. This video explores how the human visual cortex processes colors and shapes and how we can utilize these mechanisms for effective visualization using Python’s powerful visualization libraries. Starting with pandas and matplotlib--two core Python libraries--you learn the basics of Python data pre-processing and visualization before moving on to more advanced packages. Seaborn, built on top of matplotlib, simplifies common tasks and enhances productivity. Interactive visualizations using bokeh and plotly are also explored. You will use Jupyter Notebooks to craft our visualizations. Learn how to utilize an understanding of the fundamentals of human perception in designing data visualizations, identify the best visualization for a specific dataset, make effective use of matplotlib and seaborn, use seaborn and matplotlib together for best results along with bokeh and plotly to produce interactive plots, and generate animations with matplotlib and plotly. Skill-based training lessons include: 1) Human Perception, 2) Analytical Design, 3) Data Cleaning and Visualization with Pandas, 4) Matplotlib, 5) Matplotlib Animations, 6) Jupyter Widgets, 7) Seaborn, 8) Bokeh, and 9) Plotly.
Enroll today (teams & executives are welcome): https://imp.i384100.net/y20m12
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)
3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle)
Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)