I believe the value of data science could reach a incredible level if we eliminate clear boundaries between different roles in a data science team. Every analyst is able to code and modeling, while every statistician is able to manipulate data and visualize data. Besides staying passionate about learning, another good way is solving problems in work or on your own side projects. In this section, I would like to talk about the concept of a unicorn in data science, the skill sets, and a few practical problems.

1. Being a Unicorn in Data Science
through Problem Solving
Yao‑JenKuo
November1st2017

2. 關於我
var yaoJenKuo = {
"name": "郭耀仁",
"organization": "Kyosei.ai",
"loves": [
"Data Science",
"Marathon",
"Ping pong"
]
};

4. 台大資工系統訓練班（2016‑現在）
國立台北商業大學（2017秋）
玉山商業銀行（2017夏）

5. Could that data BE any tidier?

6. Google圖片

7. Google圖片

8. DataScientist:TheSexiestJobofthe21st
Century.
HarvardBusinessReviewOCTOBER2012ISSUE

9. Google圖片

10. baa.org

11. Unicorn
Ibelievetheworldcouldbeabetterplace
ifmoredesignerslearnedhowtocode
andmoredeveloperslearnedhowto
design.Theyaretheoneswhowill
experimentandplay.Theyaretheones
whowilltakerisks.Theyaretheoneswho
willbuild&launchtheirideas.
MackenzieChild–Medium

12. DataHacker
QuotedfromAjaiSharma@LinkedIn
Getdirtywithdata,technologyandmath,
nothingshouldbetoopracticalenough,
tootheoreticalenough,ortoo
mathematicalenoughforyoutohandle.

13. 10xDataScientist（誤）
Google圖片

14. 10xDataScientist
寫程式
數學、統計與機率
機器學習
永遠抱持懷疑
擅長溝通
Quora

15. Google圖片

16. 潛在的不效率分工與坑
Dataanalyst
Dataengineer
Datascientist

18. 管理者如何解決這個困境

19. Google圖片

20. Google圖片

21. Google圖片

22. Photo via via VisualHunt.com

23. 理想的閱讀時間是工作日的午餐時間，我認
為最好的學習就是不佔用讀者工作以外的休
憩時間。
輕鬆學習R語言

24. 成員如何解決這個困境

25. Google圖片

26. Google圖片

27. Google圖片

28. 學習

29. Google圖片

30. 常見資料科學問題
資料來源
資料處理
資料視覺化
機器學習
高校能計算

31. 資料來源

32. 表格式文字檔
# R
?read.table
# Python
import pandas as pd
?pd.read_table

33. Excel試算表
# R
?readxl::read_excel
# Python
import pandas as pd
?pd.read_excel

34. JSON
JSONtypes R Python
ArrayofJSON data.frame DataFrame
JSONobject list dict
# R
?jsonlite::fromJSON
# Python
import pandas as pd
import json
?pd.read_json
?json.loads

35. 資料庫
# R
library(DBI)
con <­ dbConnect(RMySQL::MySQL(),
dbname = "friends",
host = "127.0.0.1",
port = 3306,
user = "chandlerbing",
password = "muriel")
dbDisconnect(con)

36. 資料庫（2）
# Python
import mysql.connector
con = mysql.connector.connect(user='chandlerbing', password='muriel',
host='127.0.0.1',
database='friends')
con.close()

37. 網頁資料入門
W3Schools
SelectorGadget
XPathHelper
rvest
beautifulsoup

38. 網頁資料進階
Scrapy
SeleniumwithPython
RSelenium:Basics

39. 資料處理

41. 用適當的資料結構儲存資料
維度
變數類型
對稱性

42. 資料視覺化

43. Photo credit: via / Horia Varlan VisualHunt CC BY

44. 靜態圖表
PythonGraphGallery
RGraphGallery

45. 具有互動元件的動態圖表
BokehGallery
ShinyGaller

46. 建立與維護作品集

49. 輕量CMS
Jekyll
Hugo
Hexo

51. 機器學習

52. 複習線性代數
http://www.numpy.org/

53. 複習統計與機率
http://www.statsmodels.org/stable/index.html

55. 高校能計算

56. SeamlessRandC++Integration
http://www.rcpp.org/

57. C‑ExtensionsforPython
http://cython.org/

58. Spark
Scala
PySpark
sparklyr

59. Julia
AsfastasC,aseasyasPython,asgood
atstatisticsasR,asgoodasstring
processingasPerl,asscalableasHadoop
orR.
ViralShah,co‑creatorofJulia

60. Docendo discimus

61. 教學相長
Meetups
Udemy

64. 路途很長
毋免驚，咱寬寬仔行。
滅火器：海上的人

65.  Contact:tony@kyosei.ai
Thanks for Watching
http://kyosei.ai  DownloadPDF