1. Congratulations!
Exceptional work on this exploratory data analysis course!
2. Your first steps with EDA
Throughout the course, you got familiarized with many aspects any data analyst should know when starting on a new dataset. You now know how to identify and impute missing data, how to find and address outliers, what to do with multiple categorical variables, and how to handle continuous variables.
In addition, you learned best practices on visualizations for EDA, including histograms, box plots, and scatter plots. While these might look simple on paper, having a thorough understanding of these concepts will improve the overall quality of your analyses later on.
3. What's next?
There are of course more analytical possibilities, and you can use Power BI's capabilities to harness them! In the follow-up course Trend Analysis in Power BI, you'll learn about time series analysis, decomposition trees, and key influencers, all analytical techniques to take your reports to the next level.
4. Let's practice!
We hope you enjoyed taking this course and would love to see you again in a next one.