This "how to become a Data Scientist" presentation will help you understand what is Data Science, who is a Data Scientist, 7 skills that are primarily required to become a Data Scientist and the job roles that are available in the Data Science industry. Data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked Data Scientist first in the 25 Best Jobs for 2016, and good Data Scientists are scarce and in great demand. As a Data Scientist, you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data. Now, let us understand how you can build your career in Data Science. This "How to become Data Scientist?" presentation will answer the following questions: 1. What is data science? /Who is a Data Scientist? 2. What are the skills required to become a Data Scientist? 3. Job roles in Data Science industry. This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and become an expert in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course. Why learn Data Science? Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. Data Scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked Data Scientist first in the 25 Best Jobs for 2016, and good Data Scientists are scarce and in great demand. As a data you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data. You can gain in-depth knowledge of Data Science by taking our Data Science with python certification training course. With Simplilearn’s Data Science certification training course, you will prepare for a career as a Data Scientist as you master all the concepts and techniques. Those who complete the course will be able to: 1. Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics. Install the required Python environment and other auxiliary tools and libraries 2. Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions 3. Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions Learn more at: https://www.simplilearn.com

5. What is Data Science?
All of us enjoy binge watching
shows on Netflix!

6. What is Data Science?
All of us enjoy binge watching
shows on Netflix!
Did you know that Data
Science is extensively
used at Netflix?

7. What is Data Science?
Netflix analyzes users’
behavior from hundreds of
shows to create the best
recommendations for
everyone
They measured user engagement and retention on various
shows. *
They even applied advanced metrics including:
* Source: https://blog.kissmetrics.com/how-netflix-uses-analytics/
When you
pause, rewind or
fast forward
What day you
watch content
What time you
watch which
content
Where you watch
(zip code)
The ratings given
Browsing and
scrolling
behavior
When and why
you leave
content
Searches (about 3
million per day)
What device you
watch on

8. What is Data Science?
Netflix uses Data Science to show better movie and show
recommendations to its users and also create better shows for
them
Netflix analyzes users’
behavior from hundreds of
shows to create the best
recommendations for
everyone

9. What is Data Science?
“There are 33 million different
versions of Netflix.”
– Joris Evers,
Director of Global Communications

10. What is Data Science?
“There are 33 million different
versions of Netflix.”
– Joris Evers,
Director of Global Communications
All these exist due to
personalization to
suit your exact
needs!

11. What is Data Science?
the popular show House of
Cards was completely
developed using Data
Science and Big Data
Oh by the way,

12. What is Data Science?
Data Science is the area of study which involves extracting
knowledge from all the data you can gather

13. What is Data Science?
Now that we
understood what Data
Science is, let us see
what a Data Scientist
does!

14. Brief History of Artificial Intelligence
The word ‘Artificial
Intelligence’ coined by John
McCarthy
‘Shakey’ was the first general
purpose mobile robot built
Supercomputer ‘Deep blue’ was
designed which defeated the
world Chess champion in a game
First commercially successful
robotic vacuum cleaner
created
Speech recognition, RPA,
dancing robots, smart homes
and many more to come from
AI
1956 1969 1997 2002 2005-2018
Skills required to be a
Data Scientist

15. Skills required to be a Data Scientist
Statistics
Programming
Tools
Data Visualization
Data Wrangling
Machine LearningBig Data
Database
Knowledge
A Data Scientist needs
to have the following 7
skills:

16. Skills required to be a Data Scientist
Statistics
Programming
Tools
Data Visualization
Data Wrangling
Machine LearningBig Data
Database
Knowledge

17. 1. Database Knowledge
Database
Knowledge
Skill 1: Gain Database knowledge which is required to store and analyze
data
Tools required

18. 2. Statistics
Statistics
Learn statistics, probability and mathematical analysis
Statistics is the science concerned with developing and
studying methods for collecting, analyzing, interpreting and
presenting empirical data
PROBABILITY
Skill 2:

19. 3. Programming
Programming
Programming Tools such as R, Python, SAS are very important to
perform analytics in data
 Python is an open source
general purpose
programming language
 Python libraries like NumPy
and SciPy are used in Data
Science
Master one programming languageSkill 3:
 SAS can mine, alter,
manage and retrieve data
from a variety of sources
 Can perform statistical
analysis on the data
 R is a free software
environment for statistical
computing and graphics
 Supports most Machine
Learning algorithms for
Data Analytics like
regression, association,
clustering, etc.

20. 4. Data Wrangling
Data Wrangling
Data Wrangling involves:
Cleaning Data
Manipulating
Data
Organizing Data
Learn how to wrangle dataSkill 4:

21. 5. Machine Learning
Machine Learning
Master the concepts of Machine LearningSkill 5:
Machine Learning provides systems the ability to automatically learn and
improve from experience without being explicitly programmed to

22. 5. Machine Learning
Machine Learning
Machine Learning can be achieved through various algorithms such as Regression,
Naive Bayes, SVM, K Means Clustering, KNN and Decision Tree algorithms to name a
few
KNN Linear Regression Decision Tree

23. 6. Big Data
Big Data
Big Data is a term to describe large and complex data which can’t be dealt
with traditional data processing software
Have a working knowledge of Big Data toolsSkill 6:

24. 7. Data Visualization
Data Visualization
Data Visualization involves integrating different datasets, analyzing models and
visualizing them in the form of diagrams, charts and graphs
Develop the ability to visualize resultsSkill 7:

25. Brief History of Artificial Intelligence
The word ‘Artificial
Intelligence’ coined by John
McCarthy
‘Shakey’ was the first general
purpose mobile robot built
Supercomputer ‘Deep blue’ was
designed which defeated the
world Chess champion in a game
First commercially successful
robotic vacuum cleaner
created
Speech recognition, RPA,
dancing robots, smart homes
and many more to come from
AI
1956 1969 1997 2002 2005-2018
Job roles in Data Science

26. Job roles in Data Science
Data Scientist Data Engineer Data Architect
Data Analyst Business Analyst Data Administrator

27. Job roles in Data Science
Data Scientist
Data Engineer Data Architect
Data Analyst Business Analyst Data Administrator

28. Job roles in Data Science
Data
Scientist
Create data driven business
solutions and analytics
Drive optimization and
improvement of product
development
Use predictive modeling to
increase and optimize
customer experiences,
revenue generation, ad
targeting, etc.
Coordinate with different
functional teams to implement
models and monitor outcomes
Salary
USD 120,931
Responsibilities
Salary source: www.glassdoor.com

29. Job roles in Data Science
Data Scientist
Data Engineer
Data Architect
Data Analyst Business Analyst Data Administrator

30. Job roles in Data Science
Data
Engineer
Assemble large complex data
sets
Identify, design, and
implement internal process
improvements
Build infrastructure required
for optimal extraction,
transformation, and loading of
data
Build analytics tools that utilize
the data pipeline
Salary
USD 137,776
Responsibilities
Salary source: www.glassdoor.com

31. Job roles in Data Science
Data Scientist Data Engineer
Data Architect
Data Analyst Business Analyst Data Administrator

32. Job roles in Data Science
Data
Architect
Develop database solutions
Install and configure
information systems
Analyze structural
requirements for new software
and applications
Migrate data from legacy
systems to new solutions
Salary
USD 112,764
Responsibilities
Salary source: www.glassdoor.com

33. Job roles in Data Science
Data Scientist Data Engineer Data Architect
Data Analyst
Business Analyst Data Administrator

34. Job roles in Data Science
Interpreting data, analyzing
results using statistical
techniques
Acquiring data from primary or
secondary data sources and
maintaining databases
Developing
and implementing data
analyses, data collection
systems and other strategies
Work with management to
prioritize business and
information needs
Salary
USD 65,470
Responsibilities
Data
Analyst
Salary source: www.glassdoor.com

35. Job roles in Data Science
Data Scientist Data Engineer Data Architect
Data Analyst
Business Analyst
Data Administrator

36. Job roles in Data Science
Assisting the business
with planning and monitoring
Eliciting and organizing
requirements
Validate resource
requirements and develop
cost estimate models
Create informative, actionable
and repeatable reporting
Salary
USD 70,170
Responsibilities
Business
Analyst
Salary source: www.glassdoor.com

37. Job roles in Data Science
Data Scientist Data Engineer Data Architect
Data Analyst Business Analyst
Data Administrator

38. Job roles in Data Science
Assisting in database design
and updating existing
databases
Setting up and testing new
database and data handling
systems
Sustaining the security and
integrity of data
Creating complex query
definitions that allow data to
be extracted
Salary
USD 54,364
Responsibilities
Data
Administrator
Salary source: www.glassdoor.com

39. Comparing various jobs on skills required
Data
Analyst
Data
Architect
Data
Engineer
Business
Analyst
Programming Tools
Data Visualization & Communication
Database Knowledge
Statistics
Data Wrangling
Machine Learning
Software Engineering
Mathematics & Linear Algebra
Not that
important
Somewhat
important
Very
important
Data
Administrator
Data
Scientist

40. Brief History of Artificial Intelligence
The word ‘Artificial
Intelligence’ coined by John
McCarthy
‘Shakey’ was the first general
purpose mobile robot built
Supercomputer ‘Deep blue’ was
designed which defeated the
world Chess champion in a game
First commercially successful
robotic vacuum cleaner
created
Speech recognition, RPA,
dancing robots, smart homes
and many more to come from
AI
1956 1969 1997 2002 2005-2018
Simplilearn Certifications in
Data Science

41. Simplilearn Certifications in Data Science
Data Scientist
Certification
Data Science with SAS Training
Data Science Certification Training - R Programming
Big Data Hadoop and Spark Developer
Data Science with Python
Business Analytics with Excel
Machine Learning
Deep Learning with TensorFlow
Courses covered:
*Masters Program

42. Simplilearn Certifications in Data Science
Integrated program in
Big Data and Data
Science
Data Science Certification Training - R Programming
Big Data Hadoop and Spark Developer
Tableau Desktop 10 Qualified Associate Training
Data Science with Python
Machine Learning
Courses covered:
*Masters Program

43. So what’s
your next step?