An introductory slide for people who are just getting into the field of Data Science to gain the understanding of why data science is important and how data scientist fits in the loop of the importance of Data Science to the industry

1. Data Science at a glance
Adekunle Babatunde
Big Data Academy Nigeria

2. The Data deluge
Image from the
Economist
➔ In 2010, Li & Fung, a firm that manages
supply chains for retailers, saw 100
gigabytes of information flow through its
network each day
➔ According to one estimate, mankind
created 150 exabytes (billion gigabytes) of
data in 2005.
Before 2017
➔ For every day of 2017 about 2.5 Exabytes
of data are being produced.
➔ We perform 3.5 searches per day and 1.2
trillion searches per year, each having its’
own store in a database somewhere.
➔ 1.4 billion smartphones shipped as at
March, 2017.
2017

3. Data in 2016 and 2017

4. What Data an
do
Found around the house!
● Tell you what’s likely to happen
● Find unexpected Relationships
● Monitor a Situation as it
develops
● Fix a problem before it becomes
a crisis

5. Industry Data Use cases
1. Understanding and Targeting
Customers
2. Understanding and Optimizing Business
process
3. Personal Qualification and Performance
Optimization
4. Improving Healthcare and Public Health
5. Improve Sport Performance
6. Improving Science and Research
7. Optimizing machine and device
performance
8. Improving Security and Law
Enforcement
9. Improving and optimizing cities and
countries
10. Financial Trading

6. Taming Big Data

7. Data and Data
Sources
Data Scientists in
the loop
Business Benefit

8. A Data Scientist turns data into
Actionable Insight.
● Data Scientist Collects Data
● Data Scientists process Data
● Data Scientists apply machine
learning Algorithm and Visualizaiton
Techniques to Data
● Data Scientist reports and monitor
observations from data
What Affects the job of a Data
Scientist
● Data Sources
● Data Volume
● Technological prowess
● Technical knowledge
● Infrastructure knowledge
● Business knowledge and Business
Environment
Data Scientists in the data World
Technical Definition of a Data Scientist :
➔ The data scientist role is an offshoot of the Statician role that includes the use of advanced analytics
technologies, including machine learning and predictive modeling to provide insights beyond statistical
analysis.
➔ It’s a role often said to be someone who knows Statistics more than a Software Developer and knows
Software development more than a statistician

9. A Data Scintist Skill Chart

10. How to become a Data Scientist

11. Conclusion
Welcome to the Journey of a life time.
Welcome to being a Kickass Data Scientist.