【2024年】十大資料視覺化課程熱門排行推薦與優惠精選!

 

【2024年】十大資料視覺化課程熱門排行推薦與優惠精選!

本文章推薦「Learning Python for Data Analysis and Visualization」、「Microsoft Excel – Data Visualization, Excel Charts & Graphs」、「After Effects – Motion Graphics & Data Visualization」等相關LinkedIn線上課程,讓您滿足學習的慾望。
你是否想透過線上學習得到更多的技能,增加自己的技能樹?現在是學生的您,透過線上學習可以將更多專業知識用在課業學習上更加強所學。還是您是朝九晚五的上班族,尋找可以為工作上帶來更上一層樓的技能?或您是因為興趣或想培養其他興趣?
線上課程不受地理位置影響,不受時間早晚影響,老師來自世界各地,也不受學習程度影響的特色,讓您無時無刻想學都可以,想多看幾次增加熟悉度也可以。不同領域的老師將針對不同主題滿足您的學習目的,推薦的課程項目會陸續更新,絕對提供您最熱門人氣高的線上課程。

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目錄

  1. 資料視覺化課程總覽
  2. 資料視覺化課程介紹
  1. Learning Python for Data Analysis and Visualization
  2. Microsoft Excel – Data Visualization, Excel Charts & Graphs
  3. After Effects – Motion Graphics & Data Visualization
  4. Mastering data visualization in D3.js
  5. Grafana and Graphite from Beginner to Advanced (3rd Edition)
  6. Tableau Expert: Top Visualization Techniques in Tableau 10
  7. Data Visualization with Python for Beginners
  8. 【增加職場技能】用一個假日進行 Python 資料分析視覺化實戰
  9. 資料視覺化概念 (Concept of Data Visualization)
  10. Gephi 中文案例教学
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資料視覺化課程總覽

為了節省您的時間,本列表整理每個課程重點資訊,讓您可以快速瀏覽這文章所提供的課程是否是您所需要的,點選您有興趣產品的「名稱」或「圖示」可以進一步跳到文章所屬的介紹區塊瞭解更多細節。

}

課程資訊
1
2
3
4
5
6
7
8
9
10
評價 4.4 分
(16,440 個評分)
4.6 分
(23,030 個評分)
4.7 分
(5,746 個評分)
4.5 分
(3,283 個評分)
4.4 分
(2,042 個評分)
4.8 分
(1,258 個評分)
4.4 分
(1,922 個評分)
4.8 分
(82 個評分)
4.3 分
(4 個評分)
4.0 分
(1 個評分)
學生 173,857 人人 95,946 人人 31,767 人人 17,740 人人 12,347 人人 11,582 人人 10,230 人人 380 人人 164 人人 4 人人
課程描述Learn python and how to use it to analyze,visualize and present data. Includes tons of sample code and hours of video!Master 20+ Excel charts, build advanced Excel visuals & learn data analysis with a top Excel instructor (Excel 2016+)Using Adobe After Effects create beautiful VFX Visual Effects, data visualization & VFX Compositing.Design and build beautiful data visualizations with d3.js. An intensive introduction to the D3 library (V6).Monitoring with Grafana, Graphite, ElasticSearch, CloudWatch, MySQL, SQL Server, Influx DB etc..Become An Expert In Tableau 10 – Master Visualisation Techniques Including Sankey Diagrams, Viola Charts And MoreLearn how to start visualizing all your data directly in your code從事行銷或是數據分析的男生女生工作者,從入門初階學習 Python 做實戰資料分析,開始理解資料分析與視覺化不再困難,讓它成為你圖像化資料的職場技能視覺化大數據資料给权力的游戏人关系进行可视化

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資料視覺化課程列表

您可以從下面資訊進一步瞭解資料視覺化課程的價錢與最優惠的折扣、資料視覺化課程的特色以及資料視覺化課程介紹,發掘其他人同樣有興趣的產品還有哪些,期望您能找到滿意的!
1

Learning Python for Data Analysis and Visualization

Learn python and how to use it to analyze,visualize and present data. Includes tons of sample code and hours of video!

點擊前往 Udemy

課程老師Jose Portilla
課程評價4.4 分(16,440 個評分)
學生人數173,857 人

課程介紹

PLEASE READ BEFORE ENROLLING: 

1.) THERE IS AN UPDATED VERSION OF THIS COURSE: 

“PYTHON FOR DATA SCIENCE AND MACHINE LEARNING BOOTCAMP” 

2.) IF YOU ARE A COMPLETE BEGINNER IN PYTHON-CHECK OUT MY OTHER COURSE “COMPLETE PYTHON MASTERCLASS JOURNEY

[更多細節]

哪些人適合這堂課?

  • Anyone interested in learning more about python, data science, or data visualizations.
  • Anyone interested about the rapidly expanding world of data science!

學習目標

  • Have an intermediate skill level of Python programming.
  • Use the Jupyter Notebook Environment.
  • Use the numpy library to create and manipulate arrays.
  • Use the pandas module with Python to create and structure data.
  • Learn how to work with various data formats within python, including: JSON,HTML, and MS Excel Worksheets.
  • Create data visualizations using matplotlib and the seaborn modules with python.
  • Have a portfolio of various data analysis projects.




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2

Microsoft Excel – Data Visualization, Excel Charts & Graphs

Master 20+ Excel charts, build advanced Excel visuals & learn data analysis with a top Excel instructor (Excel 2016+)

點擊前往 Udemy

課程老師Maven Analytics
課程評價4.6 分(23,030 個評分)
學生人數95,946 人

課程介紹

Hear why this is one of the TOP-RATED Excel courses on Udemy, and the #1 Excel Data Visualization course:

“Absolutely great stuff. I really enjoyed it! Chris is truly a Excel guru. I strongly recommend this course to all users looking to improve the

[更多細節]

哪些人適合這堂課?

  • Anyone looking to create beautiful and effective data visualizations in Excel
  • Excel users who have basic skills but want to master advanced charts, graphs & dashboards
  • Students looking for an engaging, hands-on, and highly interactive approach to training
  • Anyone looking to pursue a career in data analysis or business intelligence

學習目標

  • Understand WHEN, WHY, and HOW to use 20+ chart types in Excel 2016+
  • Learn advanced Excel tools like automated dashboards, scrolling charts, dynamic formats, and more
  • Master unique tips, tools and case studies that you won’t find in ANY other Excel course, guaranteed
  • Explore fun, interactive, and highly effective lessons from a best-selling Excel instructor
  • Get LIFETIME access to project files, quizzes, homework exercises, and 1-on-1 expert support
  • Build 10+ Excel projects designed to take your data visualization skills to the next level




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3

After Effects – Motion Graphics & Data Visualization

Using Adobe After Effects create beautiful VFX Visual Effects, data visualization & VFX Compositing.

點擊前往 Udemy

課程老師Daniel Walter Scott
課程評價4.7 分(5,746 個評分)
學生人數31,767 人

課程介紹

Hi there, my name is  Dan. I’m a Adobe Certified Instructor and I LOVE animating infographics & bringing potentially boring data to life using After Effects through Data Visualization.

This course is for beginners. You don’t need any previous knowle

[更多細節]

哪些人適合這堂課?

  • This course is for people completely new to After Effects. No previous animation or motion graphic design experienced is necessary.
  • This is a relaxed, well paced introduction that will enable you to produce impressive video for your business or organization. Only basic computing skills are necessary – If you can send emails and surf the internet then you will cope well with our course.

學習目標

  • You’ll learn to take Excel spread sheets and animate this in After Effects.
  • You’ll learn how to make animated pie charts, line charts & bar graphs.
  • You’ll learn how to create percentage counters.
  • You’ll learn how to animate icons making beautiful infographics.
  • You’ll learn how to create ‘voice over’ infographics.
  • You’ll learn all the animation techniques needed to bring your data to life.
  • You will have the finished files so you never fall behind.
  • Downloadable exercise files & cheat sheet.
  • Forum support from me and the rest of the BYOL crew.
  • Techniques used by professional motion graphic designers.
  • A wealth of other resources and websites to help your new career path.




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4

Mastering data visualization in D3.js

Design and build beautiful data visualizations with d3.js. An intensive introduction to the D3 library (V6).

點擊前往 Udemy

課程老師Adam Janes
課程評價4.5 分(3,283 個評分)
學生人數17,740 人

課程介紹

Welcome to Mastering data visualization in D3.js!

This course will take you from a beginner level in D3 to the point where you can build virtually any visualization that you can imagine. The course will teach you to program in the latest version of 

[更多細節]

哪些人適合這堂課?

  • Anyone who has a passion for working with data
  • Anyone who is curious about data visualization design
  • Anyone who wants to build complex interactive websites with D3js

學習目標

  • Understand the fundamental building blocks of D3
  • Gain a wide breadth of knowledge, learning how to create 14 different visualizations
  • Critique existing visualizations and invent better designs for displaying data
  • Interpret open source code from the D3 community for use in your own projects
  • Master advanced tools in D3, building choropleth maps, brushes, tooltips, and layouts
  • Develop substantial web apps, with multiple visualizations on the page at once
  • Articulate original abstract ideas with compelling sketches




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5

Grafana and Graphite from Beginner to Advanced (3rd Edition)

Monitoring with Grafana, Graphite, ElasticSearch, CloudWatch, MySQL, SQL Server, Influx DB etc..

點擊前往 Udemy

課程老師Aref K.
課程評價4.4 分(2,042 個評分)
學生人數12,347 人

課程介紹

The only COMPLETE course for Grafana is here. Take this leading course now and learn all about Grafana and Graphite. Develop your skill base and grow your career prospects.  

If you are a DevOps engineer, learning Grafana  is essential for you. Rate

[更多細節]

哪些人適合這堂課?

  • DevOps engineers
  • Developers
  • Solution Architects

學習目標

  • Installing Grafana, Graphite and StatsD on Windows, Mac and Ubuntu
  • Installing Grafana manually or using Docker
  • Creating modern looking static or dynamic dashboards
  • Setting up notations and alerts
  • Integrate Grafana with MySQL
  • Integrate Grafana with InfluxDb
  • Integrate Grafana with ElasticSearch
  • Building your own StatsD client using C#, Powershell and Bash
  • Integrate Grafana with SQL Server




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6

Tableau Expert: Top Visualization Techniques in Tableau 10

Become An Expert In Tableau 10 – Master Visualisation Techniques Including Sankey Diagrams, Viola Charts And More

點擊前往 Udemy

課程老師Ben Young
課程評價4.8 分(1,258 個評分)
學生人數11,582 人

課程介紹

Tableau is a phenomenal visualization program. Even beginners can pick up the program and, within a few weeks, days, or even minutes, create beautiful visualizations and dashboards. This also creates a challenge for the Tableau Professional: how do I

[更多細節]

哪些人適合這堂課?

  • Tableau students and developers who want to showcase advanced visualizations, not just what is included out of the box.

學習目標

  • Create charts and visualizations that prove your advanced Tableau abilities.
  • Think creatively to solve complex business problems using Tableau.
  • Build a Viola Chart in Tableau.
  • Construct a Sankey Diagram in Tableau.
  • Develop advanced Hexbin Charts in Tableau.
  • Visualize Likert Scale survey data in Tableau.
  • Implement Hamburger Menu functionality in Tableau.




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7

Data Visualization with Python for Beginners

Learn how to start visualizing all your data directly in your code

點擊前往 Udemy

課程老師Maximilian Schallwig
課程評價4.4 分(1,922 個評分)
學生人數10,230 人

課程介紹

Data and analytics are becoming increasingly important in our world and in modern day businesses. To start off with data analytics (and ultimately provide nice images of our results), we need to be able to plot our data, preferably in the way we imag

[更多細節]

哪些人適合這堂課?

  • Anyone interested in analyzing data
  • Anyone who needs to visualize data
  • People who want to incorporate data visualization into their code
  • Anyone who is interested in expanding their Python knowledge

學習目標

  • Make line plots in Python
  • Make scatter plots in Python
  • Make 1-dimensional and 2-dimensional histogram plots
  • Customize your plots by adding colour and changing line styles
  • Customize your axis by changing the tick labels
  • Add custom titles and labels to your plots
  • Add custom text to your plots
  • Adjust the size of your figures
  • Add a legend to your plots
  • Be able to save your figures in a desired format to your computer
  • Change the scale of the axis to better graph logarithmic data




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8

【增加職場技能】用一個假日進行 Python 資料分析視覺化實戰

從事行銷或是數據分析的男生女生工作者,從入門初階學習 Python 做實戰資料分析,開始理解資料分析與視覺化不再困難,讓它成為你圖像化資料的職場技能

點擊前往 Udemy

課程老師Happy Coding 快樂學程式
課程評價4.8 分(82 個評分)
學生人數380 人

課程介紹

你對資料總是分不清楚該怎麼去找到 Business Impact 嗎?

你在工作中會需要有洞見、提前知道如何透過資料來顯示重要資訊嗎?

你想學習 Python 卻找不到一起學習的管道嗎?

關於這堂課

快樂學程式在台灣擁有超過 1000 人參與的在地社群活動。截至 2020 年我們已經舉辦超過兩年的社群與活動,每個月皆有程式思維相關的聚會與交流,深耕社群並參與推廣工程思維,讓非本科系的男孩女孩皆能一窺程式的風趣與培養解決問題的能力。這次與 Glove 推出這堂「Python 資料分析

[更多細節]

哪些人適合這堂課?

  • 對資料科學感興趣的初級 Python 開發人員
  • 工作上會使用到資料處理,對資料科學感興趣者
  • 想要接觸程式語言的非資工本科系的學生或上班族
  • 想要初探程式語言的高中生

學習目標

  • 了解 Python 語法與什麼是資料科學
  • 使用 Pandas 套件進行資料處理
  • 瞭解程式背後的邏輯與為什麼學習
  • 掌握視覺化套件庫 Matplotlib
  • 掌握進階視覺化套件庫 Seaborn
  • 練習使用【歷屆金鐘獎資料】取得重要訊息
  • 與課程講師一同實務練習 Python 題目與日常用法




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9

資料視覺化概念 (Concept of Data Visualization)

視覺化大數據資料

點擊前往 Udemy

課程老師Cheng-Yuan Ho
課程評價4.3 分(4 個評分)
學生人數164 人

課程介紹

資料越來越大且以異於常態的速度不斷增加,透過視覺化的技術,可讓決策人員更容易理解、記憶並在複雜的情況下,做出正確的決策。透過視覺化的技術也可幫助不同背景的人員溝通,以達良好的設計與分析結果。想知道什麼是資料視覺化嗎?來瞭解一下,聽聽看吧。

逛逛講師的網站或許能發現很有趣的東西 (Maybe you can find some interesting thing when browsing lecturer’s website.)

[更多細節]

哪些人適合這堂課?

  • 對資料視覺化有興趣的人

學習目標

  • 資料視覺化概念
  • 視覺化影響因子
  • 視覺化案例




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10

Gephi 中文案例教学

给权力的游戏人关系进行可视化

點擊前往 Udemy

課程老師方一雄 Hayden
課程評價4.0 分(1 個評分)
學生人數4 人

課程介紹

本节课程中,你将挑战学习如何使用 Gephi 这一流行的开源可视化软件来给权利的游戏中 86 个角色,216 个人物关系在一张图中展示出来,利用不同的布局,颜色,大小来揭示人物的关系,给出自己的见解。

本课程无须编程基础,对数据科学,大数据可视化感兴趣的同学均可学习。

[更多細節]

哪些人適合這堂課?

  • 想了解数据可视化的学生或在职人士。
  • 想了解如何使用 Gephi 软件的同学。

學習目標

  • 完整的使用 Gephi 完成一个数据可视化的案例。
  • 了解可视化中基本的节点 Node, 边 Edge 等概念。
  • 了解可视化中分区 Partition 和权重 Weight 等的概念。




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從老師查找更多資料視覺化課程

以上推薦的資料視覺化課程都看不到喜歡的嗎?
還是您有熱衷某個老師或某個品牌開的課程呢?嘗試從老師或品牌頁挑選吧!

【2024年】十大資料視覺化課程熱門排行推薦與優惠精選!

參考其他商業分析與智慧線上課程

除了本文介紹的課程種類以外,想要瞭解商業分析與智慧領域還有哪些不同類型的課程值得一探究竟嗎?讓您可以從不同面向更紮實的學習,點擊參考以下其他熱門主題文章。絕對提供您最優惠人氣滿檔的課程,歡迎繼續延伸閱讀。