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8/6/2020
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Python For Data Science With Real Exercises is the name of a video tutorial on data analysis using Python. The course before you actually discusses data analysis and data science as a Python programming training package. This training course will provide you with all the content and concepts step by step. In this training course for learning data science with the help of Python programming, you will also face completely real exercises, so that you will be well acquainted with the basic concepts needed.
Also, by watching each session of this course, you will get acquainted with a new and valuable concept. On the other hand, as long as you face real challenges in learning and practicing, your skill level will increase. It should also be noted that this course is designed and prepared for people at different levels with any knowledge. As a result, you will not need to know in advance to watch the tutorials in this course.
Learn how to program in Python very well
You will learn the basics in programming
Learn how to create variables in your programming
Learn concepts like while, loop and for in Python
Learn how to install your packages in Python
English language
Duration: 11 hours and 10 minutes
Number of courses: 75
Level of training: introductory
Instructor: Kirill Eremenko, SuperDataScience Team
File format: mp4
Python For Data Science With Real Exercises Requirements:
No prior knowledge or experience needed. Only a passion to be successful!
After Extract, watch with your favorite Player.
Subtitle: English and non-English
Quality: 720p
Changes:
The 2020/3 version has increased in size by about 150 MB compared to the 2019/4 version. At least one lesson added.
Version 2020/6 has a reduction of about 1 minute in total time and time changes in headings compared to 2020/3.
Version 2020/8 has increased by 2 lessons and 2 minutes compared to 2020/6.
Version 2021/1 does not show a change in the number of courses and total time compared to 2020/8. But it has been updated more than 5 months after the previous update.
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