APA ITU DATA SCIENCE? • Dealing with unstructured and structured data, Data Science is a field that comprises everything that related to data cleansing, preparation, and analysis. • Data Science is the combination of statistics, mathematics, programming, problem-solving, capturing data in ingenious ways, the ability to look at things differently, and the activity of cleansing, preparing, and aligning the data. • In simple terms, it is the umbrella of techniques used when trying to extract insights and information from data.

1. Date Created
AKU INGIN
MENJADI
SEORANG
DATA
SCIENTIST
ISMAIL FAHMI, PHD
FOUNDER
DRONE EMPRIT
FOR TEENS

2. 2
1981 – 1986 Madrasah Ibtidaiyah Muhammadiyah, Kenep, Balen, Bojoengoro, Jatim
1986 – 1989 SMP Negeri Balen, Bojonegoro, Jawa Timur
1989 – 1992 SMA Negeri 1 Bojonegoro, Jawa Timur
1992 – 1997 Undergraduate, Electrical Engineering, ITB, Indonesia
2003 – 2004 Master, Information Science, University of Groningen, NL
2004 – 2009 Doctor, Information Science, University of Groningen, NL
2009 – Now Engineer at Weborama (Paris/Amsterdam)
2014 – Now Founder PT. Media Kernels Indonesia, a Drone Emprit Company
2015 – Now Consultant at Perpustakaan Nasional, Inisiator Indonesia OneSearch
2017 – Now Lecturer at the IT Magister Program of the Universitas Islam Indonesia
Ismail Fahmi, S.T., M.A., Ph.D.
Ismail.fahmi@gmail.com

3. AKU MAU JADI DATA SCIENTIST!
3

4. CODING PAKE PYTHON SAMA R
4

5. TENTANG PEKERJAAN SAYA

6. MASA DEPAN
6

7. MENGUBAH DATA MENJADI STRATEGI
7
DATA
DATA
DATA
DATA

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SIAPA MAU BEKERJA DI
STAR TREK DISCOVERY?
DATA DATA

9. 9
COMMAND CENTER JAWA BARAT

10. GUBERNUR JAWA BARAT JADI KAPTEN
10

11. COVID-19 MONITORING DI JAWA BARAT
11

12. DATA DI MANA-MANA
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13. BIG DATA DI KEMENTERIAN PERTAHANAN
13

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COMMAND CENTER AIS KOMINFO RI

15. MATA NAJWA LIVE ‘HOAX VIRUSES’
15
confidential

16. PRESIDENTIAL ELECTION DEBATE 2019
16

17. ROAD TO DATA SCIENCE

18. 18
Desa Kenep

19. 19
BojonegoroITB Bandung
Jakarta
Saya suka sekali dengan
matematika, fisika, kimia, komputer, dan
pramuka, organisasi OSIS, himpunan
mahasiswa, aktif di kegiatan masjid.

20. 20
Indonesia
Belanda Belajar ke Luar Negeri, dari
beasiswa, untuk membuka
pikiran dan pengalaman lebih
luas

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S2-S3
2003 - 2009
UNIVERSITY OF GRONINGEN
BELANDA

22. 22
AMSTERDAM
2009 - 2014

23. 23
PHP Perl
Natural Language
ProcessingSOLR
Zend Framework
Machine Learning
AMSTERDAM
2009 - 2014

24. DUA JUNIOR SAYA WAKTU MASIH SD
24
FASILKOM UI 2020 FK UI 2017
PSI UI 2019

25. WHAT IS BIG DATA?

26. WHAT IS BIG DATA?
26

27. DATA GROWTH
27

28. DARI MANA DAPAT DATA BANYAK?
28

29. 29

30. 30
MILLENIALGEN Z

31. BIG DATA SOURCES IN FINANCIAL INDUSTRY
31

32. DATA SCIENTIST

33. APA ITU DATA SCIENCE?
• Dealing with unstructured and structured
data, Data Science is a field that
comprises everything that related to data
cleansing, preparation, and analysis.
• Data Science is the combination of
statistics, mathematics, programming,
problem-solving, capturing data in
ingenious ways, the ability to look at things
differently, and the activity of cleansing,
preparing, and aligning the data.
• In simple terms, it is the umbrella of
techniques used when trying to extract
insights and information from data.
33

34. APA ITU DATA SCIENTIST?
34

35. 35

36. 36

37. 37

38. 38

39. BUSINESS QUESTIONS
39
Gubernur Jabar
Ridwan Kamil

40. DATA SCIENCE
40

41. DATA DAN ANALISA
41

42. 42

43. GAJI DATA SCIENTIST
43

44. SUKAI: MATEMATIKA, SAINS, TEKNOLOGI
44

45. DATA SCIENCE / BIG DATA
ANALYTICS

46. FROM DATA TO ACTIONS
46

47. WHAT IS BIG DATA ANALYTICS?
47
Big data analytics is the
often complex process of
examining large and
varied data sets, or big
data, to uncover information
-- such as hidden patterns,
unknown correlations,
market trends and customer
preferences -- that can help
organizations make informed
business decisions.

48. STAGES IN BIG DATA ANALYTICS
48

49. BIG DATA ANALYTICS – TOOLS
49

50. HOW ACTUALLY IT WORKS?
50

51. WHY BIG DATA ANALYTICS IS
IMPORTANT?

52. MAIN BENEFITS OF BIG DATA ANALYTICS
52

53. BIG DATA ANALYTICS – BENEFITS
53

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55. 55

56. 56

57. HOW BIG DATA ANALYTICS HELP
ORGANIZATION?

58. APPROACHES TO BIG DATA PROJECTS
58

59. AREAS OF BIG DATA ANALYTICS – IN BANKING
59

60. BIG DATA ANALYTICS – IN AGRICULTURE
60

61. BIG DATA ANALYTICS – IN AUTOMOTIVE INDUSTRY
61

62. BIG DATA ANALYTICS – IN CONNECTED CAR
62

63. BIG DATA ANALYTICS IN E-COMMERCE
63

64. BIG DATA ANALYTICS – IN HEALTHCARE
64

65. CHALLENGES

66. BIG DATA CHALLENGES
66

67. BIG DATA SCIENCE SKILL SET
67

68. BIG DATA SKILL SHORTAGES
68

69. SOLUTION: RENT
69

70. GOOGLE BIG DATA SOLUTION – RENT
70

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72. QA SESSIONS

73. TERIMAKASIH
Ismail Fahmi, PhD.