MISSION 35#

Guided Project: Profitable App Profiles for the App Store and Google Play Markets

Learn to combine the skills you learned in this course to perform practical data analysis.

Objectives

  • Learn to combine the skills you learned to apply to a practical setting.
  • Learn how you can add business value using the skills you learned.

Mission Outline

1. Analyzing Mobile App Data
2. Opening and Exploring the Data
3. Deleting Wrong Data
4. Removing Duplicate Entries: Part One
5. Removing Duplicate Entries: Part Two
6. Removing Non-English Apps: Part One
7. Removing Non-English Apps: Part Two
8. Isolating the Free Apps
9. Most Common Apps by Genre: Part One
10. Most Common Apps by Genre: Part Two
11. Most Common Apps by Genre: Part Three
12. Most Popular Apps by Genre on the App Store
13. Most Popular Apps by Genre on Google Play
14. Next Steps

python-for-data-science-fundamentals

Course Info:

Python for Data Science: Fundamentals

Beginner

The average completion time for this course is 10-hours.

This course is free and includes 6 missions, 1 guided project, and 1 tutorial.  It is the 1st course in the Data Analyst in Python path and Data Scientist in Python path.

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