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Data Science for Teens
The document details the educational and professional background of Ismail Fahmi, Ph.D., who aspires to become a data scientist. It outlines various aspects of data science, including its definition, importance, and applications across different industries. The document also discusses big data analytics, its challenges, and the skills required to succeed in the field.
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Data Science for Teens
- 1. Date Created AKU INGIN MENJADI SEORANG DATA SCIENTIST ISMAILFAHMI, PHD FOUNDER DRONE EMPRIT FOR TEENS
- 2. 2 1981 – 1986Madrasah 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 JADIDATA SCIENTIST! 3
- 4. CODING PAKE PYTHONSAMA R 4
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- 7. MENGUBAH DATA MENJADISTRATEGI 7 DATA DATA DATA DATA
- 8. 8 SIAPA MAU BEKERJADI STAR TREK DISCOVERY? DATA DATA
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- 10. GUBERNUR JAWA BARATJADI KAPTEN 10
- 11. COVID-19 MONITORING DIJAWA BARAT 11
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- 13. BIG DATA DIKEMENTERIAN PERTAHANAN 13
- 14. 14 COMMAND CENTER AISKOMINFO RI
- 15. MATA NAJWA LIVE‘HOAX VIRUSES’ 15 confidential
- 16. PRESIDENTIAL ELECTION DEBATE2019 16
- 17. ROAD TO DATASCIENCE
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- 19. 19 BojonegoroITB Bandung Jakarta Saya sukasekali dengan matematika, fisika, kimia, komputer, dan pramuka, organisasi OSIS, himpunan mahasiswa, aktif di kegiatan masjid.
- 20. 20 Indonesia Belanda Belajar keLuar Negeri, dari beasiswa, untuk membuka pikiran dan pengalaman lebih luas
- 21. 21 S2-S3 2003 - 2009 UNIVERSITYOF GRONINGEN BELANDA
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- 23. 23 PHP Perl Natural Language ProcessingSOLR ZendFramework Machine Learning AMSTERDAM 2009 - 2014
- 24. DUA JUNIOR SAYAWAKTU MASIH SD 24 FASILKOM UI 2020 FK UI 2017 PSI UI 2019
- 25. WHAT IS BIGDATA?
- 26. WHAT IS BIGDATA? 26
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- 28. DARI MANA DAPATDATA BANYAK? 28
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- 31. BIG DATA SOURCESIN FINANCIAL INDUSTRY 31
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- 33. APA ITU DATASCIENCE? • 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 DATASCIENTIST? 34
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- 44. SUKAI: MATEMATIKA, SAINS,TEKNOLOGI 44
- 45. DATA SCIENCE /BIG DATA ANALYTICS
- 46. FROM DATA TOACTIONS 46
- 47. WHAT IS BIGDATA 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 BIGDATA ANALYTICS 48
- 49. BIG DATA ANALYTICS– TOOLS 49
- 50. HOW ACTUALLY ITWORKS? 50
- 51. WHY BIG DATAANALYTICS IS IMPORTANT?
- 52. MAIN BENEFITS OFBIG DATA ANALYTICS 52
- 53. BIG DATA ANALYTICS– BENEFITS 53
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- 57. HOW BIG DATAANALYTICS HELP ORGANIZATION?
- 58. APPROACHES TO BIGDATA PROJECTS 58
- 59. AREAS OF BIGDATA 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 ANALYTICSIN E-COMMERCE 63
- 64. BIG DATA ANALYTICS– IN HEALTHCARE 64
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- 67. BIG DATA SCIENCESKILL SET 67
- 68. BIG DATA SKILLSHORTAGES 68
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- 70. GOOGLE BIG DATASOLUTION – RENT 70
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