This document provides an introduction to data analytics and data science careers. It defines data analytics as "the process of analyzing raw data to find trends and answer questions" and data science as an "interdisciplinary field of scientific methods, processes, and systems to extract knowledge or insight from data." The document outlines the types of data analytics, skills required for data analytics and data science roles, tools used in each field, and differences between the careers. It also describes Utiva's data school programs that help individuals learn analytics and transition into data-related jobs.

1. www.utiva.io
JCI x Utiva TRINT
Bootcamp
…Helping young enthusiasts transition into Tech

2. INTRODUCTION TO DATA ANALYTICS
A brief introduction to data analytics/ data
science, a guide to transitioning into the
data analytics profession
Speaker: Suleiman Bashir Shamsudeen

3. SHAMSUDEEN
SULEIMAN
Data Scientist ,Determinas Technologies
• Two years + experience working on data analytics/data
science projects
• AWS Machine Learning Specialty Certified
• Microsoft Certified Data Analyst Associate
• Student of Knowledge 

4. Data Analytics and the Data Ecosystem
15% The projected growth for data
analytics roles is 15% between 2020-
2030.
On average, data analysts earned
$98,230 per Annum in 2020
5X more roles are coming up as data is
being generated at an un precedented
rate

5. Key Highlights
How do I get started
in this fields?
What Differentiates
them from each
other?
What is Data
Science?
What is Data
Analytics?

6. Data Analytics
“the process of analyzing raw data
to find trends and answer questions”
The definition of data analytics captures its broad
scope of the field. However, it includes many
techniques with many different goals.
-Understanding the Data Ecosystem will give better
insights as to the career choices in data analytics

7. The Data Ecosystem
• Data ecosystems are
made up of various
elements that interact with
one another in order to
produce, manage, store,
organize, analyze, and
share data.
• These elements include
hardware and software
tools, and the people who
use them.

8. What is the role of data analytics?
• Data analytics helps
individuals and
organizations make sense
of data.
• Data analysts typically
analyze raw data for
insights and trends. They
use various tools and
techniques to help
organizations make
decisions and succeed.

9. What are the types of data analytics?
• Descriptive
• Diagnostic
• Predictive
• Prescriptive
Each type is used for specific
purposes depending on the
question a data analyst is
trying to answer.

10. What are the skills required to become a data analyst?
• There are key skills required to be a good data analyst, apart
from knowing how to use tools
• Statistics
• Critical thinking
• Communication and Presentation Skills
• Analytical Skills

11. What are the analytical tools used in data analytics?
• There are various tools used in data analysis. Some data
analysts use business intelligence software, such as Excel
• Power BI/Tableau. Others may use programming languages
such as SQL or Python, which have various statistical and
visualization libraries.

12. Data Science
Wikipedia
“Data Science… is an interdisciplinary
field of scientific methods,
processes, and systems to extract
knowledge or insight from data… ”

13. Data Science Process
The Data Science Process is an iterative Process
Question
Data
Exploratory Analysis
Model
Interpretation
Communication
Results

14. Skills Required to become a Data Scientist
Communication and
Presentation Skills
Data Scientists require
Math and Statistics skills
in addition to
Traditional data analysis
skills.
Programming skills in
addition to software
engineering
Cloud
Computing skills
01 02
03 04

15. Tools used by Data Scientists
Data Scientist use a variety of tools depending
on business use case and specialty.

16. Data Science Vs Data Analytics
Text Here

17. CAREER OPORTUNITIES
• DATA SCIECNTIST
• DATA ENGINEER
• ANALYTICS ENGINEER
• DATA ARCHITECT
• ML OPS SPECIALIST
• ANALYTICS MANAGER
• DATABASE ADMINISTARTOR
• DATA ANALYST
• DATA MANAGER
• DATA GOVERNANCE OFFICER

18. How does Utiva work?
The Utiva data school is designed to help data enthusiasts kickstart their
journey to learning analytics and data strategy, as well as helping profesionals
advance in the data space.
Data Science
Fellowship
Become a Data
Analyst (Incubator)
Become a Data Analyst
(Fast Track)

19. Graduants

20. Utiva’s Numbers
7
Digital schools
and programs
4000+
Talents within our
ecosystem
200
Trainers and
coaches
69
Hiring Partners

21. Questions and Answer
Shamsudeen@determinas.com
01
Shamsudeen Bashir Suleiman
LinkedIn
02
Connect with Me

22. Thank you!