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

with Elitsa Kaloyanova

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.

9 hours 100 lessons
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Course Overview

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.

100 High Quality Lessons
16 Practical Tasks
9 Hours of Video
Certificate of Achievement

Topics covered

Dashboarddata visualizationExcelHistogramLine and Bar ChartPythonRRegression ScatterTableau

What You'll Learn

This course features four technologies through which you can learn data visualization – Excel, Tableau, Python and R. Even if you’re a complete beginner, this course will build your data viz skillset, starting with basics like the bar chart, and building up towards combination charts and dashboards.

Create basic and advanced charts 
Interpret data 
Select the right type of chart 
Learn what not to do in data viz 
Create stunning visualization 
Label and style graphs professionally  


Student feedback


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Aside from the last two sections on dashboards, I was really disappointed. I had so many issues trying to get RStudio and Jupyter Notebook to upload files. I used the correct address on my computer and still had issues. After several attempts I abandoned the ideal all together. This course was not user friendly as I was only able to build in two of the four environments.
It's amazing the way the information it is showed easyly. There are a few details that may have done better, for instance the combo chart in tableu shows the the percetenges in a wrong way, if we compare it with the theorical manner when you have to show the percetenges up to 100%. But i still understand that some things are beyond the scope of this course.
I suggest taking this course after completing all courses to use it an implementing everything you learned. You can learn the basics and the story behind each chart in different environment as data scientist or Business analyst
I'm taking a leap of faith and daring to move out of my comfort zone with this course, but I have to admit I'm finding the presentation very informative. Awesome.
Very useful .it definitely will really enhanced my skills. But it's very short. I hope next time you will cover more topics . Thanks & Regards.
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“Data visualization is the face of data. Many people look at the data and see nothing. The reason for that is that they are not creating good visualizations. Or even worse – they are creating nice graphs but cannot interpret them accurately. This course will tackle both of these problems.”

Elitsa Kaloyanova
Head of Data Content at 365 Data Science
The Complete Data Visualization Course with Python, R, Tableau, and Excel

with Elitsa Kaloyanova

Start Course