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