Python For Data Science With Real Exercises!
Udemy – Python A-Z™: Python For Data Science With Real Exercises Course. Programming In Python For Data Analytics And Data Science. Learn Statistical Analysis, Data Mining And Visualization
Python For Data Science With Real Exercises! Course
Learn Python Programming by doing! There are lots of Python courses and lectures out there. However, Python has a very steep learning curve and students often get overwhelmed. This Python For Data Science With Real Exercises! course is different! This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward. After every video you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.
This Python For Data Science With Real Exercises! training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises. In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!
Python For Data Science Online Courses
- Learn to program in Python at a good level
- Learn how to code in Jupiter Notebooks
- Learn the core principles of programming
- Learn how to create variables
- Learn about integer, float, logical, string and other types in Python
- Learn how to create a while() loop and a for() loop in Python
- Learn how to install packages in Python
- Understand the Law of Large Numbers
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Who this course is for:
- This course if for you if you want to learn how to program in Python
- This course is for you if you are tired of Python courses that are too complicated
- This course is for you if you want to learn Python by doing
- This course is for you if you like exciting challenges
- You WILL have homework in this course so you have to be prepared to work on it
Specifications Python A-Z™: Python For Data Science With Real Exercises!
- Publisher : Udemy
- Instructor : Kirill Eremenko, SuperDataScience Team, Ligency Team
- Language : English
- Level of training : from beginners to advanced
- Duration Time : 11 hours
