Data visualization is important in data science and analytics since it is the way of communicating data and letting the audience understand its implications. Hence, it is imperative to utilize the available and appropriate tools in data analytics and visualization. This course demonstrates how to use Python and Tableau in making data visualization. It discusses the tools' algorithms and technicalities relevant to presenting and visualizing data, making it easier for participants to navigate and provide more effective visualization and storytelling.
What You Will Learn
Upon completion of this course, the learners are expected to:
- use data visualization libraries in Python, namely Matplotlib, Seaborn, Folium, and Bokeh for presenting data;
- use Tableau for data storytelling; and
- connect Tableau with Python and generate visualizations that would be used in analytics.
You will need a computer or laptop with Microsoft Excel installed. Computer or laptop requirements are:
- For Windows: Core i3 or better, 4GB RAM or better, MS Excel 2007 or better
- For MacBook: ideally MS Excel 2013 or newer should be installed (some functions require this version on the Mac). If the version of MS Excel is 2011, download and install StatPlus.