Udemy

Complete Data Wrangling & Data Visualisation With Python

立即報名
  • 16,510 名學生
  • 更新於 11/2025
4.5
(1,157 個評分)
CTgoodjobs 嚴選優質課程,為職場人士提升競爭力。透過本站連結購買Udemy課程,本站將獲得推廣佣金,有助未來提供更多實用進修課程資訊給讀者。

課程資料

報名日期
全年招生
課程級別
學習模式
修業期
6 小時 28 分鐘
教學語言
英語
授課導師
Minerva Singh
評分
4.5
(1,157 個評分)
5次瀏覽

課程簡介

Complete Data Wrangling & Data Visualisation With Python

Learn to Preprocess, Wrangle and Visualise Data For Practical Data Science Applications in Python

Hello, My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation).


I have several years of experience in analyzing real life data from different sources using statistical modeling and producing publications for international peer reviewed journals. If you find statistics books & manuals too vague, expensive & not practical, then you’re going to love this course!

I created this course to take you by hand and teach you all the concepts, and tackle the most fundamental building block on practical data science- data wrangling and visualisation.

GET ACCESS TO A COURSE THAT IS JAM PACKED WITH TONS OF APPLICABLE INFORMATION!


This course is your sure-fire way of acquiring the knowledge and statistical data analysis wrangling and visualisation skills that I acquired from the rigorous training I received at 2 of the best universities in the world, perusal of numerous books and publishing statistically rich papers in renowned international journal like PLOS One.

To be more specific, here’s what the course will do for you:


(a) It will take you (even if you have no prior statistical modelling/analysis background) from a basic level to performing some of the most common data wrangling tasks in Python.


(b) It will equip you to use some of the most important Python data wrangling and visualisation packages such as seaborn.


(c) It will Introduce some of the most important data visualisation concepts to you in a practical manner such that you can apply these concepts for practical data analysis and interpretation.

(d) You will also be able to decide which wrangling and visualisation techniques are best suited to answer your research questions and applicable to your data and interpret the results.

The course will mostly focus on helping you implement different techniques on real-life data such as Olympic and Nobel Prize winners


After each video you will learn a new concept or technique which you may apply to your own projects immediately! Reinforce your knowledge through practical quizzes and assignments.

TAKE ACTION NOW :) You’ll also have my continuous support when you take this course just to make sure you’re successful with it. If my GUARANTEE is not enough for you, you can ask for a refund within 30 days of your purchase in case you’re not completely satisfied with the course.

TAKE ACTION TODAY! I will personally support you and ensure your experience with this course is a success.

課程章節

  • 9 個章節
  • 57 堂課
  • 第 1 章 INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools
  • 第 2 章 Read in Data From Different Sources With Pandas
  • 第 3 章 Data Cleaning
  • 第 4 章 Basic Data Wrangling
  • 第 5 章 More Data Wrangling
  • 第 6 章 Feature Selection and Transformation
  • 第 7 章 Theory Behind Data Visualisation
  • 第 8 章 Most Common Data Visualizations
  • 第 9 章 Miscallaneous Information

課程內容

  • Install and Get Started With the Python Data Science Environment- Jupyter/iPython, Read In Data Into The Jupiter/iPython Environment From Different Sources, Carry Out Basic Data Pre-processing & Wrangling In the Jupyter Environment, Learn to IDENTIFY Which Visualisations Should be Used in ANY given Situation, Go From A Basic Level To Performing Some Of The MOST COMMON Data Preprocessing, Data Wrangling & Data Visualization Tasks In Jupyter, How To Use Some Of The MOST IMPORTANT Data Wrangling & Visualisation Packages Such As Matplotlib, Build POWERFUL Visualisations and Graphs from REAL DATA, Apply Data Visualization Concepts For PRACTICAL Data Analysis & Interpretation, Gain PROFICIENCY In Data Preprocessing, Data Wrangling & Data Visualisation In Jupyter By Putting Your Soon-To-Be-Acquired Knowledge Into IMMEDIATE Application


評價

  • C
    Chris Laing
    3.5

    Some issues with incompatibilities with the latest version of Python and some files were missing from the handout materials. The course content was good, but I feel the core data wrangling/visualization concepts could have been taught in fewer sections.

  • K
    Kotresh Hothur
    5.0

    good content

  • S
    Simon Son
    4.5

    Unlock the full potential of Python to clean chaotic data, uncover deep insights through smart transformations, and craft visuals that truly speak to your audience.

  • J
    Jahid Abdullah
    4.5

    I had absolutely no background in coding, but this course made everything so easy to understand—I’m honestly surprised at how much I’ve learned!

立即關注瀏覽更多

本網站使用Cookies來改善您的瀏覽體驗,請確定您同意及接受我們的私隱政策使用條款才繼續瀏覽。

我已閱讀及同意