SKILL PATH
Python Data Analysis and Visualization
With over 400 billion gigabytes of data out there and more every day, companies are paying top dollar to those who can leverage it. Strong data skills are becoming increasingly valuable - even if you choose not to become a professional data scientist. This path will help you master the skills to extract insights from data using a powerful (and easy to use) assortment of popular Python libraries.
16 hours
151 Lessons
24 Quizzes
314 Playgrounds
12 Challenges
205 Code Snippets
70 Illustrations
Learning Objectives
Learn how to extract and represent data using Python data structures, descriptive statistics, and reading from and exporting data to different types of files.
Learn how to represent data in Numpy and various vectorization operations that can be performed on code.
Learn how to use Python libraries such as Numpy and Pandas for data extraction, cleaning, and processing purposes.
Learn how to use Python libraries such as Matplotlib for data visualization after it has been cleaned and processed.
Path Content
Contributors:
Your method is simple, straight to the point and I can practice with it everywhere, even from my phone, that's something I have never had in other learning platforms.
I highly recommend Educative. The courses are well organized and easy to understand.
I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.
I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.
Your method is simple, straight to the point and I can practice with it everywhere, even from my phone, that's something I have never had in other learning platforms.
I highly recommend Educative. The courses are well organized and easy to understand.
I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.
