The Complete Data Visualization Course with Python, R, Tableau, and Excel

Teaching you how to master the art of creating and styling charts to achieve professional results. The course is based in four different technologies – Excel, Tableau, Python, and R to complete your data visualization skillset.








Course description

The Data Visualization course is designed for everyone looking to deepen their understanding of creating meaningful and compelling visualizations. Whether you’re coming from a business or data science-related field, knowledge in data visualization is both important and advantageous. That’s precisely why this course is centered not in just one, but four different environments: Excel, Tableau, Python, and R. Each section is dedicated to a specific type of chart – bar charts, pie charts, area charts, line charts and many more. In addition, there are lectures that specifically explore what to avoid when creating a certain graphic. You can stick with your preferred environment and follow each section. Or you could master all four environments and add indispensable skills to your data visualization toolset.


In this section, you will learn about the importance of data visualization, as well as some theoretical foundations for creating charts. We introduce popular frameworks for choosing an appropriate visualization for your data, discuss color theory, and show different approaches to selecting the colors for your graphic.


Combo Plots Part 1 - Regression Plot

We’ll explore a combination chart of a scatter and a regression line by using marketing data and a regression line to quantify the relationship between a company’s advertising budget and its sales. You will learn how to create a regression scatter in Excel, Tableau, Python, and R, and discover different types of relationships between features in data. the model residuals can be beneficial in model selection.


Advanced Topics - Dashboard in Excel

We’ll work on real-life data and create a dashboard in Excel. Our dashboard will center on creating a report for a large company operating in the FMCG sector. The star of the report will be the two custom filters, which will slice the data based on the period we’re interested in.