The document provides an overview of different roles in data science and technology including data scientists, data analysts, data architects, data engineers, statisticians, database administrators, business analysts, and data and analytics managers. It describes the typical responsibilities, skills, and job duties for each role. It also discusses what data analytics is, how data analysts extract meaningful information from raw data, and provides a roadmap for becoming a data analyst including recommended courses, tools, and skills to learn.

1. DAY 1

2. Preamble
WHAT ARE YOUR
EXPECTATIONS FOR
THIS ONLINE
SEMINAR?
WHAT ARE YOU
HOPING TO GET OR
GAIN?
HAVE YOU EVER
FEARED GETTING INTO
TECH?

3. What is tech?
- Technology is the study of
how people use scientific
knowledge to solve practical
problems
- What are the tools or
machines?

4. SO, WHAT IS CODING?
Coding is just a way of telling a computer what to do in its own language

5. Non-coding
tech roles
Build your confidence and let
your conviction fuel
consistency, results only come
to those who continually press
Questions & Answers
Thanks for your time

6. DAY 2

7. WHAT IS DATA SCIENCE
facts and statistics collected for reference or analysis

8. What is
Science?
- knowledge of any kind
- the systematic study of the
structure and behaviour of the
physical and natural world
through observation,
experimentation and the
testing of theories against the
evidence obtained

9. THE DATA SCIENCE INDUSTRY
Let us focus on the major

10. The Data
Scientist
Data Scientist is one of the most
sizzling job titles that you can have
these days, and with a yearly average
salary of $118,709, they are among the
top earners in the data science industry
The data scientist performs analysis on
crude data and can present the acquired
knowledge to his associates in an
informative way
They build models using algorithms in
statistics with programming languages
like python and R

11. The Data Analyst
- Languages like R, Python, and SQL are part of
the data analyst’s basic knowledge, like the
data scientist role, a broad skillset is required
for the data analyst role, which combines
technical and analytical knowledge with
ingenuity to derive insight from data

12. The Data
Architect
Data is everywhere and
therefore, an increased number
of organizations need data
architects to integrate, centralize,
and maintain their data sources
These architects often work with
the latest technologies such as
Spark and always need to be on
top of the game to stay relevant

13. The Data
Engineer
A DATA ENGINEER IS AN
IT WORKER WHOSE
PRIMARY JOB IS TO
PREPARE DATA FOR
ANALYTICAL OR
OPERATIONAL USES
THESE SOFTWARE
ENGINEERS ARE
TYPICALLY
RESPONSIBLE FOR
BUILDING DATA
PIPELINES TO BRING
TOGETHER
INFORMATION FROM
DIFFERENT SOURCE
SYSTEMS
THEY INTEGRATE,
CONSOLIDATE AND
CLEANSE DATA AND
STRUCTURE IT FOR USE
IN ANALYTICS
APPLICATIONS

14. The
Statistician
The title “statistician” is usually overlooked or
replaced by fancier-sounding job titles
This is a bit of a pity, given that the statistician, with
his solid foundation in statistical theories and
methodologies, can be seen as the pioneer of the
data science field
To end, although the title can sound a bit dull
compared to the others in this list,
modern statisticians are always ready to rapidly ace
new advancements and utilize these to benefit their
research

15. The Database
Administrator
- As a database administrator, you ensure that the
database is accessible to every stakeholder in the
organization, is performing legitimately, and that the
necessary safety measures are in place to keep the
stored data safe
- You need to master different technologies from SQL
and XML to a more general programming language
like Java

16. The Business
Analyst
However, the business analyst
compensates for this lack of
technical knowledge with a profound
understanding of the various
business processes that are in place
A business analyst therefore often
performs the role of the middle
person between the business folks
and the so called techies
Organizations searching for business
analysts are companies like Uber, Dell
and Oracle

17. Data and
Analytics
Manager
The data and analytics manager
steers the direction of the data
science team
This individual consolidates strong
and specialized skills in various
arrangements of advancements
with the social aptitudes required to
deal with a group
It is hard employment but if you feel
up for the challenge, make sure to
have a look at offerings from
companies such as Coursera, and
Slack

18. DATA ANALYTICS AND DATA
ANALYSIS

19. What is Data
Analytics
- Data analytics bridges the gap
between data science and
business analytics
- It is the systematic approach
of processing raw data and
subsequently extracting
meaningful information from it

20. Let’s try this
together https://trends.google.co.uk/trends
The information extracted from the
raw data is the focus of data
analysis
The professional who does this
analysis is a Data analyst

21. What does a
Data Analyst
Do?
Example 2: Analysis of twitter’s
perception of the show “Real
Housewives of Lagos” from 1st to 8th
of July 2022 by Augustina Okonkwo
https://www.linkedin.com/in/augustina-
okonkwo/
Example 3: Oxford mathematical model
predicts route to the men's FIFA World
Cup ⚽️🏆
https://youtu.be/KjISuZ5o06Q

22. DAY 3

23. Data Analysis
Roadmap
Follow Alex the Analyst
https://www.youtube.com/watch?
Follow: The Work Life Man
https://www.youtube.com/watch?
IBM Data Analyst Professional
Certificate:
https://coursera.pxf.io/AoYOdR

24. Data Analysis Roadmap
- Google Data Analytics Professional Certificate:
https://coursera.pxf.io/5bBd62
- Learn SQL https://www.youtube.com/playlist?
- Learn Tableau https://www.youtube.com/playlist?
- Learn Power BI https://www.youtube.com/watch?
- Learn Excel https://www.youtube.com/playlist?
- Portfolio Projects https://www.youtube.com/playlist?
- Build Your Resume https://www.youtube.com/watch?
- Get on LinkedIn https://www.youtube.com/watch?
- Now it’s time for Python https://www.youtube.com/playlist?

25. Data Analysis
Roadmap
Victor Adekunle
Mark Freeman II
Ingressive For Good
Avery Smith
Ken Jee
Luke Barousse
Jessica Ayodele
Augustina Okonkwo
Olanrewaju Oyinbooke

26. Reference
- https://www.analyticsvidhya.com/blog/2015/12
/job-roles-data-science-industry-who-what/
www.techtarget.com/searchdatamanagement/
definition/data-engineer
https://www.freecodecamp.org/news/data-
analyst-vs-data-scientist-whats-the-difference
https://www.techbubbles.org/what-is-
technology/