Udemy

Python + Data Science : Practical Guide [13 Hours]

立即報名
  • 1,028 名學生
  • 更新於 4/2019
4.5
(50 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
13 小時 9 分鐘
教學語言
英語
評分
4.5
(50 個評分)
3次瀏覽

課程簡介

Python + Data Science : Practical Guide [13 Hours]

Learn Data Science + Python to do Web Scraping, Data Analysis, Data Visualization, Machine Learning, Deep Learning...

[NOTE: This course will be constantly updated & improved as per your feedback. All questions will get answered and the course author (Michael) will be very present to guide you.]


This course was built by Michael Mustaine (Data Scientist & Machine Learning expert) and Eduonix Learning Solutions with a simple idea in mind: teach you the basics of Python + Data Science in a practical way, so that you can acquire, test and master your Python skills gradually.

If you check the course's curriculum, you'll see that you'll learn all these things with Python:

  • Using Variables & Strings

  • Using Booleans & Logical Operators

  • Using Functions & Packages

  • Using Lists, Tuples and Dictionaries

  • Using For & While Loops

  • Using Panda & Data Frames

  • Doing Data Visualization

  • Scraping Web Data

  • Doing some basic Natural Language Processing (NLP)

  • Basics of Machine Learning & Deep Learning

  • And much more to come..

In any case, Michael will be here for you and answer any questions you may have, and he'll constantly update and improve the course's content. The goal is to make your learning a very interactive process.


So, what are you waiting?! Get the course NOW!

課程章節

  • 16 個章節
  • 75 堂課
  • 第 1 章 Introduction
  • 第 2 章 Environment
  • 第 3 章 Integers and Strings
  • 第 4 章 If Statements and Basic Programming Logic
  • 第 5 章 Lists, Tuples, Dictionaries and For/While Loops
  • 第 6 章 Functions and Packages
  • 第 7 章 Pandas and Data Frames
  • 第 8 章 Visualization - Scatter Plots, Bar Plots
  • 第 9 章 Scraping the Web with Python
  • 第 10 章 Basics of Natural Language Processing (NLP)
  • 第 11 章 Introduction to Machine Learning
  • 第 12 章 Optional Classes
  • 第 13 章 Project #1 - Analyze and visualize data on Kaggle
  • 第 14 章 Project #2 - Natural language processing
  • 第 15 章 Project #3 - Create a simple support vector machine
  • 第 16 章 BONUS LECTURE

課程內容

  • How to set up your Python environment, How to manipulate String & Variables with Python, How to use Booleans & Logical Operators with Python, How to use Functions & Packages with Python, How to use Pandas & Data Frames with Python, How to perform Data Visualization with Python, How to do Web Scraping with Python, The Basics of Natural Language Processing (NLP), The Basics of Deep Learning & Reinforcement Learning, And much more...


評價

  • Y
    Yael Gutman Van Zeijst
    5.0

    Me gusta la perspectiva que adopta el maestro de este curso sobre el campo de data science, al ir más allá de los negocios (en lo que se centran la mayoría de los otros cursos que he encontrado antes).

  • K
    Kevin Harmon
    3.5

    l have bee exploring becoming data scentest

  • C
    Chin Kuay
    5.0

    Very good intro to data science.

  • N
    Neil Rieck
    5.0

    So far, so good

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