課程資料
課程簡介
Programming In Python For Data Analytics And Data Science. Learn Statistical Analysis, Data Mining And Visualization
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 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 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!
I can't wait to see you in class,
What you will learn:
Learn the core principles of programming
Learn how to create variables
How to visualize data in Seaborn
How to create histograms, KDE plots, violin plots and style your charts to perfection
Learn about integer, float, logical, string and other types in Python
Learn how to create a while() loop and a for() loop in Python
And much more....
Sincerely,
Kirill Eremenko
課程章節
- 8 個章節
- 72 堂課
- 第 1 章 Welcome To The Course
- 第 2 章 Core Programming Principles
- 第 3 章 Fundamentals Of Python
- 第 4 章 Matrices
- 第 5 章 Data Frames
- 第 6 章 Advanced Visualization
- 第 7 章 Homework Solutions
- 第 8 章 Congratulations!! Don't forget your Prize :)
課程內容
- 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
此課程所涵蓋的技能
評價
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SSuprit Bhandarkar
some of sections, i think it's going too fast to understand. but interesting for me.
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VVivian Zhang
Some content in the lecture is outdated and does not align with the latest version (e.g., Seaborn).
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MMEYE EBIE
i wish there were notes on the coding steps especially on the homework assignments
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DDaniel Frame
The course did a very good job of introducing topics in a simple way and building upon those topics throughout the course. It touched on a lot of topics in Python to get a good foundation.