Everyone should know DATA ANALYTICS in 2020: Where do you start?

Everyone needs to know how to approach basic data analysis in 2020!
In this video, I give you a brief overview of the important steps you should take when you start with data analysis, no matter what your job is.
I talk about how you can build a connection with your Data Analytics team, which tools you should learn and which are not so necessary, and what is the main ingredient of a good data analysis.

---Sources I talk about---
Course on analytical thinking: https://www.coursera.org/learn/mindware#syllabus
Cassie Kozyrkov on Medium: https://medium.com/@kozyrkov
Excel for data analysis: https://www.coursera.org/learn/excel-data-analysis-fundamentals
Misleading graphs and lies in statistics:
https://en.wikipedia.org/wiki/Lies,_damned_lies,_and_statistics
https://en.wikipedia.org/wiki/Misleading_graph
https://venngage.com/blog/misleading-graphs/
Visualization rules and guidelines:
https://medium.com/google-design/redefining-data-visualization-at-google-9bdcf2e447c6
https://material.io/design/communication/data-visualization.html
https://blog.k2datascience.com/the-five-indispensable-rules-of-data-visualization-1119424bad14
https://www.monterail.com/blog/rules-of-data-visualization
SQL for data analysis: https://www.coursera.org/learn/sql-for-data-science#syllabus

Timecodes:
00:00 Intro
01:34 Building connections with Data teams
03:38 Analytical thinking
07:01 Learning the tools
10:47 How much programming do you actually need to know?

Видео Everyone should know DATA ANALYTICS in 2020: Where do you start? канала Anastasia K