Businesses utilizing data to their best advantage remain competitive in the market, keeping them steps ahead from their counterparts, more evidently now when things are forced to move online.

1. Python vs R for Data Science

2. About the Speaker
Name: Muhammad Samer Sallam
Senior Data Scientist (Remotely)
Quaking Aspen, Dublin, Ireland
Data Science and Artificial Intelligence Trainer
iTrain, Kuala Lumpur, Malaysia
Master Student and Researcher
IIUM, Kuala Lumpur, Malaysia

3. Outlines
 What is Data Science ?
 Data-Based Product Life Cycle
 What is AI, ML ,DL?
 Relationships between Data Science and
AI, ML and DL
 Introduction to Python
 Introduction to R
 Python VS R in Industry

4. What is Data Science ?
 It is an interdisciplinary study of data
whose central focus is the data life cycle
and how data is applied to the decision
making process

5. Data Life Cycle

6. Data-Based Product Life
Cycle

7. Data-Based Product Life
Cycle

8. What is AI ?
 Artificial Intelligence: whenever a machine
is able to do task that requires human
intelligence, we say it has AI.

9. What is AI,ML, DL?
 Suppose we need to build a classification
model of Cat and Dog in AI
 Assume the image dimensions are
1000*1000*3 (RGB Image where the pixel
could take 0 - 255)
 We need 1000 *1000 * 3 * 256 if-else
statements
 So traditional programming does not work
always

10. What is ML?
 Machine learning is a way to achieve
artificial intelligence (AI) by teaching the
machine how to do a task without being
explicitly programmed

11. What is DL?
 Deep learning is a subfield of machine
learning which focuses mainly on artificial
neural networks.

12. What is AI,ML, DL?

13. Relationship Between DS and
AI,ML and DL

14. Applications of Data Science
 Recommendation System

15. Applications of Data Science
 Speech Recognition

16. Applications of Data Science
 Face Detection

17. Applications of Data Science
 Fraud Detection

18. DEMAND & OPPORTUNITY
Data Science has been dubbed by the Harvard
Business Review (Thomas H. Davenport and
D.J. Patil, October 2012) as…
“The Sexiest Job of the 21st Century”
https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century

19. Demand & Opportunity
Data Scientist
• Work-Life Balance Rating: 4.2 (out of
5)
• Salary: $114,808 (highest salary)
• Number of Job Openings: 1,315
(highest in the top 9)

20. Who Is Data Scientist ?

21. Who Is Data Scientist ?

22. What Is Python?
 Python is a high-level, interpreted, and
object-oriented scripting language.
 Python is designed to be highly readable
where it uses English keywords frequently

23. Features Of Python
 Easy
 Free and Open Source
 High Level
 Portable
 Extensible
 Dynamically Data Typed
 Large Standard Libraries

24. What Is R ?
 R is a programming language and free
software environment for statistical
computing and graphics supported by
the R Foundation for Statistical
Computing.

25. Features Of R
 Easy
 Free and Open Source
 High Level
 Portable
 Extensible
 Dynamically Data Typed
 Large Standard Libraries (For Data
Science)

26. Comparison

27. Companies Use Python And
R

28. General Comparison

29. Within The Data-Based Life
Cycle
 Now, it is time to look at these two
languages a little bit deeper regarding their
usage in a data pipeline, including:
 Data Collection.
 Data Exploration.
 Data Modelling.
 Data Visualization

30. Data Collection
Python R

31. Data Exploration
Python R

32. Data Modelling
Python R

33. Popularity

34. Popularity

35. Popularity

36. Popularity

37. Popularity

38. Salaries of Python

39. Job Opportunities

40. Job Opportunities
 From indeed for Jobs

41. Who Uses Python And R?
Python R
Programmer Business analytics
profession
Engineer Statisticians
Software Developer Data Visualization
Expert
Web Developer Quantitative Analyst
Financial Advisors

42. Who Uses R And Python?
 Some of the job titles that require:
Python R
Data architect Business analytics
profession
Data analyst Data scientist
Data engineer Investment analyst
Data scientist Tax Staff
Developer Scientist

43. Summary
Q&A