Udemy

Python A-Z™: Python For Data Science With Real Exercises!

立即報名
  • 172,010 名學生
  • 更新於 1/2025
4.6
(30,141 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
11 小時 4 分鐘
教學語言
英語
授課導師
Kirill Eremenko, SuperDataScience Team, Ligency ​
評分
4.6
(30,141 個評分)
2次瀏覽

課程簡介

Python A-Z™: Python For Data Science With Real Exercises!

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


評價

  • S
    Suprit Bhandarkar
    3.5

    some of sections, i think it's going too fast to understand. but interesting for me.

  • V
    Vivian Zhang
    3.0

    Some content in the lecture is outdated and does not align with the latest version (e.g., Seaborn).

  • M
    MEYE EBIE
    5.0

    i wish there were notes on the coding steps especially on the homework assignments

  • D
    Daniel Frame
    5.0

    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.

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