What is Data? How do we collect data? How do we store data? How do we clean data? How do we Analyse the Data? How do we make Data-Driven Decisions? What is BigData? What is AI/ML/DL?

1. This is
Your Data
Story

2. Selamat Sore!
My name is Soliman and I am a Data Engineer
You can call me Kang Soli
I am here because I love to talk about data.
You can find me at soliman.cc & medium & LinkedIn
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3. Before coming, I Asked:
How many students do we have? - Around 30
3
Boys or Girls?
How old are they?

4. What is Data?
➜ Data is a collection of information
gathered by questioning , observation or
measurement.
➜ Data is often organised in graphs or charts for
analysis and may include facts, numbers or
measurements.
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5. “
Data ... Information
It is around us everywhere
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For today...

6. Qualitative
Categorical data
qualitative or
categorical data
describing qualities,
characteristics or
categories
Boy Girl Cat Dog
Data Types
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Quantitative
Numerical data
quantitative or
numerical data which
can be counted or
measured.
1 2 3 4 5 ...

7. 7
1 3 5
4
2
Collect the Data Clean the Data Use the Data
Store the Data Analyise the Data
What do I do with Data???
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Artificial Intelligence

8. “
Today, we will help our
client to make
Data Driven Decision
about:
Where to open car
painting shop
in Bandung city?
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9. 1.
How do we collect
data?
Let’s start with the first step of having data

10. How to Collect Data
10
1 3 5
4
2
Determine What Information
You Want to Collect
Determine Your
Data Collection Method
Store the Data
Set a Timeframe for
Data Collection
Record the Data

11. 2.
How do we store
data?
How and Where do we keep our data?
How do we get it again?

12. Data storage history
New Days Storage
Record data on tapes
- Cassette
- Video
- Data
Floppy Disks
Hard Disk
CD - DVD - USB
Data Centers
Old Days Storage
Ancient Egyptians store their history
on walls.
Papers invented to record drawings
and writings.
Printing invented to speed up the
data storage process in many copies.
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Where?

13. We store the data in Database
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Honda Toyota BMW
Yellow 10 20 7
Blue 30 15 10
Orange 5 24 16

14. 3.
How do we Clean
the data?
Not all data is important to us

15. Good Data VS Bad Data
Accurate
Complete
Consistent
Timely
Unique
Valid
...
Inaccurate
Missing
Random
Duplicated
Invalid
...
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16. “
Data Cleaning is an
important process to ensure
the Quality of the Information
we are using to make decision
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Clean DATA is Expensive

17. 4.
How do we Analyze
the data?
How to get value from the data

18. Maps
BMW
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Toyota
Honda
https://www.behance.net/gallery/49492443/iDiscover-Bandung-Illustrated-Map

19. 5.
How we USE the
data
How we make value from the data

20. 20
DATA driven decisions
Where should I open my
new car painting shop?
Based on our data, the
best location is ...

21. Big Data
Very BIG amount of data, for example
When we collect all data from Indonesia
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Jakarta?
Sumatra?
Surabaya?
Bali?

22. 6.
What is Data Science?
How does computer do our job?
Artificial Intelligence
&
Machine Learning
&
Deep Learning

23. From Program to ML
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24. Summary
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Based on your needs
To be accessable
To be meaningful
DATA Funnel
Visualize
Decisions
Collect all possible Data
Clean the Data
Store the Data
Analyse the Data To give insights
Visual Summary
Data Driven

25. Thanks!
Any questions?
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