資料科學家培訓與認證計畫

1. 資料科學家
培訓與認證計畫
Ryan Chung
Program R&D Manager
III IT Training Center
1

2. 資策會 IT Training Center
² 最新科技進修
Ø 在職夜間假日進修
Ø 轉職全天養成班
² 資訊技術充電站
Ø 國際技術趨勢
Ø 職場必備能力
Ø 基本資訊技能
2

3. MS Pro Program
3

4. 推廣策略
• 未來之星-菁英培育計畫校園講座 elite.iiiedu.org.tw
大專在校學生
• 線上開放式課程 openedx.iiiedu.org.tw
一般社會大眾
• 國際菁英俱樂部-資料科學家 mobiledev.tw/dma777
在職人士進修
4

5. 完整的專業「資料科學」線上課程
5

6. PROGRAMMING
WITH PYTHON
FOR DATA
SCIENCE
PROGRAMMING
WITH R FOR DATA
SCIENCE
APPLIED MACHINE
LEARNING
DEVELOPING INTELLIGENT
APPLICATIONS AND BOTS
IMPLEMENTING PREDICTIVE
SOLUTIONS WITH SPARK IN
HDINSIGHT
CORE DATA
SCIENCE
資料科學核心
FUNDAMENTALS
基礎課程
APPLIED
DATA SCIENCE
應用資料科學
ANALYZING &
VISUALIZING
DATA WITH
POWER BI
QUERYING DATA
WITH TRANSACT-
SQL
DATA SCIENCE
ORIENTATION
ANALYZING AND
VISUALIZING DATA
WITH EXCEL
PRINCIPLES OF
MACHINE
LEARNING
Essential Statistics
for Data Analysis
using Excel
INTRODUCTION
TO R FOR DATA
SCIENCE
INTRODUCTION
TO PYTHON FOR
DATA SCIENCE
DATA SCIENCE
ESSENTIALS
CORTANA
COMPETITION
PROJECT
專案
Microsoft Professional Program
FUNDAMENTALS CORE DATA SCIENCE APPLIED DATA SCIENCE
MOC
20-761: Querying
Data with
Transact-SQL
Course 10989A:
Analyzing Data with
Power BI
EXAM
70-761: Querying
Data with Transact-
SQL
70-778: Analyzing
Data with Power BI
70-773:
Analyzing Big Data
with Microsoft R
70-779:
Analyzing Data
with Excel
OPENEDX
ANALYZING BIG DATA
WITH MICROSOFT R
SERVER
DATA SCIENCE
CHALLENGE
6

7. PROGRAMMING
WITH PYTHON
FOR DATA
SCIENCE
PROGRAMMING
WITH R FOR DATA
SCIENCE
APPLIED MACHINE
LEARNING
DEVELOPING INTELLIGENT
APPLICATIONS AND BOTS
IMPLEMENTING PREDICTIVE
SOLUTIONS WITH SPARK IN
HDINSIGHT
CORE DATA
SCIENCE
資料科學核心
FUNDAMENTALS
基礎課程
APPLIED
DATA SCIENCE
應用資料科學
ANALYZING &
VISUALIZING
DATA WITH
POWER BI
QUERYING DATA
WITH TRANSACT-
SQL
DATA SCIENCE
ORIENTATION
ANALYZING AND
VISUALIZING DATA
WITH EXCEL
PRINCIPLES OF
MACHINE
LEARNING
Essential Statistics
for Data Analysis
using Excel
INTRODUCTION
TO R FOR DATA
SCIENCE
INTRODUCTION
TO PYTHON FOR
DATA SCIENCE
DATA SCIENCE
ESSENTIALS
CORTANA
COMPETITION
PROJECT
專案
Microsoft Professional Program
ANALYZING BIG DATA
WITH MICROSOFT R
SERVER
DATA SCIENCE
CHALLENGE
名稱
Data Science Orientation
資料科學導論
時數 每週 2 ~ 4 小時、共 6 週
目標
了解資料科學的範疇，如何透過分析、視
覺化工具、統計學等知識與工具，揭露資
料背後的秘密。
7

8. PROGRAMMING
WITH PYTHON
FOR DATA
SCIENCE
PROGRAMMING
WITH R FOR DATA
SCIENCE
APPLIED MACHINE
LEARNING
DEVELOPING INTELLIGENT
APPLICATIONS AND BOTS
IMPLEMENTING PREDICTIVE
SOLUTIONS WITH SPARK IN
HDINSIGHT
CORE DATA
SCIENCE
資料科學核心
FUNDAMENTALS
基礎課程
APPLIED
DATA SCIENCE
應用資料科學
ANALYZING &
VISUALIZING
DATA WITH
POWER BI
QUERYING DATA
WITH TRANSACT-
SQL
DATA SCIENCE
ORIENTATION
ANALYZING AND
VISUALIZING DATA
WITH EXCEL
PRINCIPLES OF
MACHINE
LEARNING
Essential Statistics
for Data Analysis
using Excel
INTRODUCTION
TO R FOR DATA
SCIENCE
INTRODUCTION
TO PYTHON FOR
DATA SCIENCE
DATA SCIENCE
ESSENTIALS
CORTANA
COMPETITION
PROJECT
專案
Microsoft Professional Program
ANALYZING BIG DATA
WITH MICROSOFT R
SERVER
DATA SCIENCE
CHALLENGE
名稱
Querying with Transact-SQL
資料庫概論 – 使用 T-SQL
時數 每週 4 ~ 5 小時、共 6 週
目標
了解資料庫的語法，從第一個SELECT指令
開始學起，到能實作常見的資料庫操作邏
輯在MS SQL Server或Azure SQL 資料庫
8

9. PROGRAMMING
WITH PYTHON
FOR DATA
SCIENCE
PROGRAMMING
WITH R FOR DATA
SCIENCE
APPLIED MACHINE
LEARNING
DEVELOPING INTELLIGENT
APPLICATIONS AND BOTS
IMPLEMENTING PREDICTIVE
SOLUTIONS WITH SPARK IN
HDINSIGHT
CORE DATA
SCIENCE
資料科學核心
FUNDAMENTALS
基礎課程
APPLIED
DATA SCIENCE
應用資料科學
ANALYZING &
VISUALIZING
DATA WITH
POWER BI
QUERYING DATA
WITH TRANSACT-
SQL
DATA SCIENCE
ORIENTATION
ANALYZING AND
VISUALIZING DATA
WITH EXCEL
PRINCIPLES OF
MACHINE
LEARNING
Essential Statistics
for Data Analysis
using Excel
INTRODUCTION
TO R FOR DATA
SCIENCE
INTRODUCTION
TO PYTHON FOR
DATA SCIENCE
DATA SCIENCE
ESSENTIALS
CORTANA
COMPETITION
PROJECT
專案
Microsoft Professional Program
ANALYZING BIG DATA
WITH MICROSOFT R
SERVER
DATA SCIENCE
CHALLENGE
名稱
Analyzing and Visualizing Data with Excel
資料分析與視覺化 – 使用 Excel
時數 每週 2 ~ 4 小時、共 6 週
目標
使用Excel來分析前所未有的大量資料，運
用更好的視覺化方式與穩健的商業邏輯，
並知道如何從各種來源進行資料匯入。
9

10. PROGRAMMING
WITH PYTHON
FOR DATA
SCIENCE
PROGRAMMING
WITH R FOR DATA
SCIENCE
APPLIED MACHINE
LEARNING
DEVELOPING INTELLIGENT
APPLICATIONS AND BOTS
IMPLEMENTING PREDICTIVE
SOLUTIONS WITH SPARK IN
HDINSIGHT
CORE DATA
SCIENCE
資料科學核心
FUNDAMENTALS
基礎課程
APPLIED
DATA SCIENCE
應用資料科學
ANALYZING &
VISUALIZING
DATA WITH
POWER BI
QUERYING DATA
WITH TRANSACT-
SQL
DATA SCIENCE
ORIENTATION
ANALYZING AND
VISUALIZING DATA
WITH EXCEL
PRINCIPLES OF
MACHINE
LEARNING
Essential Statistics
for Data Analysis
using Excel
INTRODUCTION
TO R FOR DATA
SCIENCE
INTRODUCTION
TO PYTHON FOR
DATA SCIENCE
DATA SCIENCE
ESSENTIALS
CORTANA
COMPETITION
PROJECT
專案
Microsoft Professional Program
ANALYZING BIG DATA
WITH MICROSOFT R
SERVER
DATA SCIENCE
CHALLENGE
名稱
Analyzing and Visualizing Data with Power BI
資料分析與視覺化 – 使用 Power BI
時數 每週 2 ~ 4 小時、共 6 週
目標
學習如何透過Power BI將你的資料視覺化，
了解如何匯入資料，並能發佈報告以及如
何建立跨平台均可使用的Dashboard
10

11. PROGRAMMING
WITH PYTHON
FOR DATA
SCIENCE
PROGRAMMING
WITH R FOR DATA
SCIENCE
APPLIED MACHINE
LEARNING
DEVELOPING INTELLIGENT
APPLICATIONS AND BOTS
IMPLEMENTING PREDICTIVE
SOLUTIONS WITH SPARK IN
HDINSIGHT
CORE DATA
SCIENCE
資料科學核心
FUNDAMENTALS
基礎課程
APPLIED
DATA SCIENCE
應用資料科學
ANALYZING &
VISUALIZING
DATA WITH
POWER BI
QUERYING DATA
WITH TRANSACT-
SQL
DATA SCIENCE
ORIENTATION
ANALYZING AND
VISUALIZING DATA
WITH EXCEL
PRINCIPLES OF
MACHINE
LEARNING
Essential Statistics
for Data Analysis
using Excel
INTRODUCTION
TO R FOR DATA
SCIENCE
INTRODUCTION
TO PYTHON FOR
DATA SCIENCE
DATA SCIENCE
ESSENTIALS
CORTANA
COMPETITION
PROJECT
專案
Microsoft Professional Program
ANALYZING BIG DATA
WITH MICROSOFT R
SERVER
DATA SCIENCE
CHALLENGE
名稱
Essential Statistics for Data Analysis using Excel
資料分析會用到的統計學 – 使用 Excel
時數 每週 2 ~ 4 小時、共 6 週
目標
學習如何透過基礎的統計與機率，運用
Excel來實作資料分析與資料科學基礎。
11

12. PROGRAMMING
WITH PYTHON
FOR DATA
SCIENCE
PROGRAMMING
WITH R FOR DATA
SCIENCE
APPLIED MACHINE
LEARNING
DEVELOPING INTELLIGENT
APPLICATIONS AND BOTS
IMPLEMENTING PREDICTIVE
SOLUTIONS WITH SPARK IN
HDINSIGHT
CORE DATA
SCIENCE
資料科學核心
FUNDAMENTALS
基礎課程
APPLIED
DATA SCIENCE
應用資料科學
ANALYZING &
VISUALIZING
DATA WITH
POWER BI
QUERYING DATA
WITH TRANSACT-
SQL
DATA SCIENCE
ORIENTATION
ANALYZING AND
VISUALIZING DATA
WITH EXCEL
PRINCIPLES OF
MACHINE
LEARNING
Essential Statistics
for Data Analysis
using Excel
INTRODUCTION
TO R FOR DATA
SCIENCE
INTRODUCTION
TO PYTHON FOR
DATA SCIENCE
DATA SCIENCE
ESSENTIALS
CORTANA
COMPETITION
PROJECT
專案
Microsoft Professional Program
ANALYZING BIG DATA
WITH MICROSOFT R
SERVER
DATA SCIENCE
CHALLENGE
名稱
Introduction to R for Data Science
資料科學會用到的R語言 - 導論
時數 每週 2 小時、共 4 週
目標
學習資料科學專家常用的R語言，從基礎語
法、變數與基本運算開始，接著來了解R語
言的資料結構如向量、矩陣與清單等。
12

13. PROGRAMMING
WITH PYTHON
FOR DATA
SCIENCE
PROGRAMMING
WITH R FOR DATA
SCIENCE
APPLIED MACHINE
LEARNING
DEVELOPING INTELLIGENT
APPLICATIONS AND BOTS
IMPLEMENTING PREDICTIVE
SOLUTIONS WITH SPARK IN
HDINSIGHT
CORE DATA
SCIENCE
資料科學核心
FUNDAMENTALS
基礎課程
APPLIED
DATA SCIENCE
應用資料科學
ANALYZING &
VISUALIZING
DATA WITH
POWER BI
QUERYING DATA
WITH TRANSACT-
SQL
DATA SCIENCE
ORIENTATION
ANALYZING AND
VISUALIZING DATA
WITH EXCEL
PRINCIPLES OF
MACHINE
LEARNING
Essential Statistics
for Data Analysis
using Excel
INTRODUCTION
TO R FOR DATA
SCIENCE
INTRODUCTION
TO PYTHON FOR
DATA SCIENCE
DATA SCIENCE
ESSENTIALS
CORTANA
COMPETITION
PROJECT
專案
Microsoft Professional Program
ANALYZING BIG DATA
WITH MICROSOFT R
SERVER
DATA SCIENCE
CHALLENGE
名稱
Introduction to Python for Data Science
資料科學會用到的Python語言 - 導論
時數 每週 2~4 小時、共 6 週
目標
學習Python語言，從簡單的運算、變數與
資料結構，再到函數、流程控制，並開始
能用真實的資料來進行視覺化。
13

14. PROGRAMMING
WITH PYTHON
FOR DATA
SCIENCE
PROGRAMMING
WITH R FOR DATA
SCIENCE
APPLIED MACHINE
LEARNING
DEVELOPING INTELLIGENT
APPLICATIONS AND BOTS
IMPLEMENTING PREDICTIVE
SOLUTIONS WITH SPARK IN
HDINSIGHT
CORE DATA
SCIENCE
資料科學核心
FUNDAMENTALS
基礎課程
APPLIED
DATA SCIENCE
應用資料科學
ANALYZING &
VISUALIZING
DATA WITH
POWER BI
QUERYING DATA
WITH TRANSACT-
SQL
DATA SCIENCE
ORIENTATION
ANALYZING AND
VISUALIZING DATA
WITH EXCEL
PRINCIPLES OF
MACHINE
LEARNING
Essential Statistics
for Data Analysis
using Excel
INTRODUCTION
TO R FOR DATA
SCIENCE
INTRODUCTION
TO PYTHON FOR
DATA SCIENCE
DATA SCIENCE
ESSENTIALS
CORTANA
COMPETITION
PROJECT
專案
Microsoft Professional Program
ANALYZING BIG DATA
WITH MICROSOFT R
SERVER
DATA SCIENCE
CHALLENGE
名稱
Data Science Essentials
資料科學精要
時數 每週 3~4 小時、共 6 週
目標
了解資料科學的運作中，必備的關鍵概念
與技術，包含統計分析、資料清理與轉換、
R或Python的資料視覺化，以及Azure機器
學習。
14

15. PROGRAMMING
WITH PYTHON
FOR DATA
SCIENCE
PROGRAMMING
WITH R FOR DATA
SCIENCE
APPLIED MACHINE
LEARNING
DEVELOPING INTELLIGENT
APPLICATIONS AND BOTS
IMPLEMENTING PREDICTIVE
SOLUTIONS WITH SPARK IN
HDINSIGHT
CORE DATA
SCIENCE
資料科學核心
FUNDAMENTALS
基礎課程
APPLIED
DATA SCIENCE
應用資料科學
ANALYZING &
VISUALIZING
DATA WITH
POWER BI
QUERYING DATA
WITH TRANSACT-
SQL
DATA SCIENCE
ORIENTATION
ANALYZING AND
VISUALIZING DATA
WITH EXCEL
PRINCIPLES OF
MACHINE
LEARNING
Essential Statistics
for Data Analysis
using Excel
INTRODUCTION
TO R FOR DATA
SCIENCE
INTRODUCTION
TO PYTHON FOR
DATA SCIENCE
DATA SCIENCE
ESSENTIALS
CORTANA
COMPETITION
PROJECT
專案
Microsoft Professional Program
ANALYZING BIG DATA
WITH MICROSOFT R
SERVER
DATA SCIENCE
CHALLENGE
名稱
Principles of Machine Learning
機器學習準則
時數 每週 3~4 小時、共 6 週
目標
學習如何建立、評估與最佳化機器學習模
型，包含分類、回歸、叢集與推薦。
15

16. PROGRAMMING
WITH PYTHON
FOR DATA
SCIENCE
PROGRAMMING
WITH R FOR DATA
SCIENCE
APPLIED MACHINE
LEARNING
DEVELOPING INTELLIGENT
APPLICATIONS AND BOTS
IMPLEMENTING PREDICTIVE
SOLUTIONS WITH SPARK IN
HDINSIGHT
CORE DATA
SCIENCE
資料科學核心
FUNDAMENTALS
基礎課程
APPLIED
DATA SCIENCE
應用資料科學
ANALYZING &
VISUALIZING
DATA WITH
POWER BI
QUERYING DATA
WITH TRANSACT-
SQL
DATA SCIENCE
ORIENTATION
ANALYZING AND
VISUALIZING DATA
WITH EXCEL
PRINCIPLES OF
MACHINE
LEARNING
Essential Statistics
for Data Analysis
using Excel
INTRODUCTION
TO R FOR DATA
SCIENCE
INTRODUCTION
TO PYTHON FOR
DATA SCIENCE
DATA SCIENCE
ESSENTIALS
CORTANA
COMPETITION
PROJECT
專案
Microsoft Professional Program
ANALYZING BIG DATA
WITH MICROSOFT R
SERVER
DATA SCIENCE
CHALLENGE
名稱
Programming with R for Data Science
資料科學的應用 – 使用R語言
時數 每週 4~8 小時、共 6 週
目標
運用R語言的資料結構與語法，將檔案送至
雲端資料庫，並轉換成你所需要的樣貌。
16

17. PROGRAMMING
WITH PYTHON
FOR DATA
SCIENCE
PROGRAMMING
WITH R FOR DATA
SCIENCE
APPLIED MACHINE
LEARNING
DEVELOPING INTELLIGENT
APPLICATIONS AND BOTS
IMPLEMENTING PREDICTIVE
SOLUTIONS WITH SPARK IN
HDINSIGHT
CORE DATA
SCIENCE
資料科學核心
FUNDAMENTALS
基礎課程
APPLIED
DATA SCIENCE
應用資料科學
ANALYZING &
VISUALIZING
DATA WITH
POWER BI
QUERYING DATA
WITH TRANSACT-
SQL
DATA SCIENCE
ORIENTATION
ANALYZING AND
VISUALIZING DATA
WITH EXCEL
PRINCIPLES OF
MACHINE
LEARNING
Essential Statistics
for Data Analysis
using Excel
INTRODUCTION
TO R FOR DATA
SCIENCE
INTRODUCTION
TO PYTHON FOR
DATA SCIENCE
DATA SCIENCE
ESSENTIALS
CORTANA
COMPETITION
PROJECT
專案
Microsoft Professional Program
ANALYZING BIG DATA
WITH MICROSOFT R
SERVER
DATA SCIENCE
CHALLENGE
名稱
Programming with Python for Data Science
資料科學的應用 – 使用Python
時數 每週 3~4 小時、共 6 週
目標
使用Python來實作知名的資料掘礦模型，
來獲取資料背後的秘密，並了解如何進行
資料視覺化、叢集與分類等任務。
17

18. PROGRAMMING
WITH PYTHON
FOR DATA
SCIENCE
PROGRAMMING
WITH R FOR DATA
SCIENCE
APPLIED MACHINE
LEARNING
DEVELOPING INTELLIGENT
APPLICATIONS AND BOTS
IMPLEMENTING PREDICTIVE
SOLUTIONS WITH SPARK IN
HDINSIGHT
CORE DATA
SCIENCE
資料科學核心
FUNDAMENTALS
基礎課程
APPLIED
DATA SCIENCE
應用資料科學
ANALYZING &
VISUALIZING
DATA WITH
POWER BI
QUERYING DATA
WITH TRANSACT-
SQL
DATA SCIENCE
ORIENTATION
ANALYZING AND
VISUALIZING DATA
WITH EXCEL
PRINCIPLES OF
MACHINE
LEARNING
Essential Statistics
for Data Analysis
using Excel
INTRODUCTION
TO R FOR DATA
SCIENCE
INTRODUCTION
TO PYTHON FOR
DATA SCIENCE
DATA SCIENCE
ESSENTIALS
CORTANA
COMPETITION
PROJECT
專案
Microsoft Professional Program
ANALYZING BIG DATA
WITH MICROSOFT R
SERVER
DATA SCIENCE
CHALLENGE
名稱
Applied Machine Learning
機器學習應用
時數 每週 3~4 小時、共 6 週
目標
學習如何運用機器學習，來解決常見的預
測問題，如文字分析、空間資料分析、影
像處理與時間序列預測等。
18

19. PROGRAMMING
WITH PYTHON
FOR DATA
SCIENCE
PROGRAMMING
WITH R FOR DATA
SCIENCE
APPLIED MACHINE
LEARNING
DEVELOPING INTELLIGENT
APPLICATIONS AND BOTS
IMPLEMENTING PREDICTIVE
SOLUTIONS WITH SPARK IN
HDINSIGHT
CORE DATA
SCIENCE
資料科學核心
FUNDAMENTALS
基礎課程
APPLIED
DATA SCIENCE
應用資料科學
ANALYZING &
VISUALIZING
DATA WITH
POWER BI
QUERYING DATA
WITH TRANSACT-
SQL
DATA SCIENCE
ORIENTATION
ANALYZING AND
VISUALIZING DATA
WITH EXCEL
PRINCIPLES OF
MACHINE
LEARNING
Essential Statistics
for Data Analysis
using Excel
INTRODUCTION
TO R FOR DATA
SCIENCE
INTRODUCTION
TO PYTHON FOR
DATA SCIENCE
DATA SCIENCE
ESSENTIALS
CORTANA
COMPETITION
PROJECT
專案
Microsoft Professional Program
ANALYZING BIG DATA
WITH MICROSOFT R
SERVER
DATA SCIENCE
CHALLENGE
名稱
Implementing Predictive Solutions with
Spark in HDInsight
在HDInsight中使用Spark實作預測型解決方案
時數 每週 4 小時、共 6 週
目標
學習如何運用Spark在微軟Azure HDInsight
中建立預測分析與機器學習的解決方案。了
解如何進行資料清理與轉換，並能建立機器
學習模型。
19

20. PROGRAMMING
WITH PYTHON
FOR DATA
SCIENCE
PROGRAMMING
WITH R FOR DATA
SCIENCE
APPLIED MACHINE
LEARNING
DEVELOPING INTELLIGENT
APPLICATIONS AND BOTS
IMPLEMENTING PREDICTIVE
SOLUTIONS WITH SPARK IN
HDINSIGHT
CORE DATA
SCIENCE
資料科學核心
FUNDAMENTALS
基礎課程
APPLIED
DATA SCIENCE
應用資料科學
ANALYZING &
VISUALIZING
DATA WITH
POWER BI
QUERYING DATA
WITH TRANSACT-
SQL
DATA SCIENCE
ORIENTATION
ANALYZING AND
VISUALIZING DATA
WITH EXCEL
PRINCIPLES OF
MACHINE
LEARNING
Essential Statistics
for Data Analysis
using Excel
INTRODUCTION
TO R FOR DATA
SCIENCE
INTRODUCTION
TO PYTHON FOR
DATA SCIENCE
DATA SCIENCE
ESSENTIALS
CORTANA
COMPETITION
PROJECT
專案
Microsoft Professional Program
ANALYZING BIG DATA
WITH MICROSOFT R
SERVER
DATA SCIENCE
CHALLENGE
名稱
Developing Intelligent Apps and Bots
智慧應用與機器人開發
時數 每週 4 小時、共 6 週
目標
了解如何透過機器學習來開發智慧應用，與
使用者有著超乎想像的連結關係。
20

21. PROGRAMMING
WITH PYTHON
FOR DATA
SCIENCE
PROGRAMMING
WITH R FOR DATA
SCIENCE
APPLIED MACHINE
LEARNING
DEVELOPING INTELLIGENT
APPLICATIONS AND BOTS
IMPLEMENTING PREDICTIVE
SOLUTIONS WITH SPARK IN
HDINSIGHT
CORE DATA
SCIENCE
資料科學核心
FUNDAMENTALS
基礎課程
APPLIED
DATA SCIENCE
應用資料科學
ANALYZING &
VISUALIZING
DATA WITH
POWER BI
QUERYING DATA
WITH TRANSACT-
SQL
DATA SCIENCE
ORIENTATION
ANALYZING AND
VISUALIZING DATA
WITH EXCEL
PRINCIPLES OF
MACHINE
LEARNING
Essential Statistics
for Data Analysis
using Excel
INTRODUCTION
TO R FOR DATA
SCIENCE
INTRODUCTION
TO PYTHON FOR
DATA SCIENCE
DATA SCIENCE
ESSENTIALS
CORTANA
COMPETITION
PROJECT
專案
Microsoft Professional Program
ANALYZING BIG DATA
WITH MICROSOFT R
SERVER
DATA SCIENCE
CHALLENGE
名稱
Analyzing Big Data with Microsoft R Server
巨量資料分析 – 使用微軟R Server
時數 每週 4 小時、共 4 週
目標
了解如何在微軟R Server上使用R語言，來分
析大量的資料集。
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22. PROGRAMMING
WITH PYTHON
FOR DATA
SCIENCE
PROGRAMMING
WITH R FOR DATA
SCIENCE
APPLIED MACHINE
LEARNING
DEVELOPING INTELLIGENT
APPLICATIONS AND BOTS
IMPLEMENTING PREDICTIVE
SOLUTIONS WITH SPARK IN
HDINSIGHT
CORE DATA
SCIENCE
資料科學核心
FUNDAMENTALS
基礎課程
APPLIED
DATA SCIENCE
應用資料科學
ANALYZING &
VISUALIZING
DATA WITH
POWER BI
QUERYING DATA
WITH TRANSACT-
SQL
DATA SCIENCE
ORIENTATION
ANALYZING AND
VISUALIZING DATA
WITH EXCEL
PRINCIPLES OF
MACHINE
LEARNING
Essential Statistics
for Data Analysis
using Excel
INTRODUCTION
TO R FOR DATA
SCIENCE
INTRODUCTION
TO PYTHON FOR
DATA SCIENCE
DATA SCIENCE
ESSENTIALS
CORTANA
COMPETITION
PROJECT
專案
Microsoft Professional Program
ANALYZING BIG DATA
WITH MICROSOFT R
SERVER
DATA SCIENCE
CHALLENGE
名稱
Data Science Professional Project
資料科學實際案例實作
時數 每週 3~4 小時、共 4 週
目標
利用這一系列的學習，來解決一個真實世界
的資料科學問題。你必須開發出一套機器學
習的解決方案，經由測試來決定最終分數。
22

23. 如何取得每個科目的認證？
1. 完成要求
– 試題、作業、問卷)達到該課程標準通常為 70%
2. 購買序號
– 透過資策會-資訊技術訓練中心購買證照申請序號(不定期優惠)
3. 取得證書
– 回到課程網站，輸入序號，取得證書
23

24. 購買證照序號
• 付款方式
–信用卡 / 匯款 / 現金
–台北市復興南路一段390號2樓
• 價格
–原價US$99
–不定期優惠
24

25. 大專院校校園推廣講座
• 中山大學
• 中央大學
• 元智大學
• 金門大學
• 東華大學
• 暨南大學
• 長榮大學
• 南台科大
25

26. 北中南資料科學講座活動
26

27. 活動照片
27

28. 活動照片
28

29. 活動照片
29

30. 活動照片
30

31. 相關資訊
• 微軟專業學程 – 資料科學介紹
– http://taipei.iiiedu.org.tw/mpp-ds/
• 資策會線上學習網
– https://openedx.iiiedu.org.tw
• 未來之星 – 菁英培育計畫
– http://elite.iiiedu.org.tw/
• FB社團 – 大學生的資訊充電站
– https://www.facebook.com/groups/846979765403349/
• FB粉絲團 – 行動開發學院
– https://www.facebook.com/mobiledev.tw/
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32. 敬請指教
Ryan Chung
Program R&D Manager
III IT Training Center
Ryan@iii.org.tw
32