As a data analyst, you'll be doing data cleaning among many other tasks. It can be a very extensive process, so naturally it begs the question, when is your dataset clean enough to start working on it?

In this micro video, @Alex The Analyst gives an example and tries to provide a specific answer for the next time you tackle this task!

This micro video is taken from a recent live event hosted by CareerFoundry. Check out the replay, and our other upcoming Data Analytics events here: https://careerfoundry.com/en/events/

---

Looking to start a career in Data? Take your first steps with CareerFoundry’s free data analytics short course:
https://bit.ly/DAShortCourseMicros2809

Want a deeper dive on some key data analytics topics? Check out CareerFoundry’s blog here: https://careerfoundry.com/en/blog/

Thanks for watching!

#DataAnalytics #data #datascience

Want more from CareerFoundry?

Check out our other social media channels and blog here:
https://linktr.ee/CareerFoundry​

For more information on our programs, visit us at:
https://careerfoundry.com/

How To Make Sure Your Dataset Is Clean? (w. Alex The Analyst)
https://youtu.be/SMxC17QgDXc