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學生對 Coursera Project Network 提供的 FIFA20 Data Exploration using Python 的評價和反饋

48 個評分
7 條評論


By the end of this project, you will learn to use data Exploration techniques in order to uncover some initial patterns, insights and interesting points in your dataset. We are going to use a dataset consisting 5 CSV files, consisting of the data related to players in FIFA video game. We will clean and prepare it by dropping useless columns, calculating new features for our dataset and filling up the null values properly. and then we will start our exploration and we'll do some visualizations. Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....



1 - FIFA20 Data Exploration using Python 的 7 個評論(共 7 個)

創建者 Wan N A B W T


Nicely guided project with some great visualization. This project definitely shows beginners like me on the capabilities of python and its uses. This will all be much more interesting if you're a football and FIFA video game fan. Although I must say that this project requires you to be familiar with some of the modules used in the project. I wasn't too familiar with them and in the end I kinda get lost on what the instructor is doing so I just had to follow along. But still, this a great guided project.



The project was very instructive! Thanks a lot! :)

創建者 Abdullayev S M


Спасибо всем

創建者 Harshvardhan M



創建者 Michael K


Not bad at all. Fun and great way to get into using pandas. The second to last task was too rushed and a bit of a stretch though. Slow down at that point I suggest.

創建者 Maksim M


Great idea, but there is room for improvement in the implementation.

創建者 Sean S


incredible waste of 9.99. This should be part of my annual subscription.