In this video, we'll take you through a data project from Uber called "Partner Business Modeling". We'll delve into the details of exploring and cleaning up the dataset. We'll use popular Python libraries such as Pandas, NumPy, and Matplotlib to manipulate, analyze and visualize the data. And showcase how custom functions can be used to create bar graphs and how to clean and change rows using the apply method.
Watch the next parts:
📌 Part 2: Using Python Pandas To Answer Business Questions For An Uber Data Science Project: • Using Python Pandas To Answer Busines...
📌 Part 3: Data Science and Uber: Solving Partner Business Modeling using Python: • Using Python Pandas for Building Uber...
🧑💻 Go to the question through the link below and follow along with us:
https://platform.stratascratch.com/da...
______________________________________________________________________
👉 Subscribe to my channel: https://bit.ly/2GsFxmA
👉 Playlist for more data science interview questions and answers: https://bit.ly/3jifw81
👉 Playlist for data science interview tips: https://bit.ly/2G5hNoJ
👉 Practice more real data science interview questions: https://platform.stratascratch.com/co...
______________________________________________________________________
Timeline:
Intro: (0:00)
Data exploration and cleaning: (0:37)
Coding the solution: (6:49)
Conclusion: (8:57)
______________________________________________________________________
About The Platform:
I'm using StrataScratch (https://platform.stratascratch.com/co..., a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and python), statistics, probability, product sense, and business cases.
So, if you want more interview practice with real data science interview questions, visit https://platform.stratascratch.com/co.... All questions are free and you can even execute SQL and python code in the IDE, but if you want to check out the solutions from me or from other users, you can use ss15 for a 15% discount on the premium plans.
______________________________________________________________________
Contact:
If you have any questions, comments, or feedback, please leave them here!
Feel free to also email me at [email protected]
_______________________________________________________________________
#PythonDataProject #PythonInterviewQuestion