Webinar given at Step Up Analytics. All images taken from the web.

1. Data Science as a Career
Manjunath Sindagi

2. Agenda
● About myself
● Introduction To Data Science
● Artificial Intelligence
● Related Fields
● Career Path
Topics

3. About Myself
● Co Founder & Head of Data Science, Hyperdata IO
● Over a decade of Experience in the data field.
● Information Retrieval (Search), NLP, Extraction,Recommendation
Engine,Machine Learning
● Worked for startups , Extensive Product Development
● Interests : Defining Product Strategy, Defining data problems (Business to
technical) , Consulting, Mentoring Startups, Solving Data Problems,
Quoran, Teaching and Photography

4. What is Data Science?
Data science, also known as data-driven science, is an
interdisciplinary field about scientific methods, processes,
and systems to extract knowledge or insights from data in
various forms, either structured or unstructured, similar
todata mining.
- Wikipedia : https://en.wikipedia.org/wiki/Data_science

5. Interdisciplinary
Field

6. Data Science
Interdisciplinary Field

7. Artificial
Intelligence
Artificial Intelligence is defined as
the science of making computers
do things that require intelligence
when done by Humans
Making sense out of data .

8. AI And Related Fields

9. Data &
Information
What is?
● Datum - ‘something given’
● A Datum is single factual, single
entity, point of matter
● Data (data sets) represents a
collection of data points
(Datums).
● Information - data is processed,
organized, structured or
presented in a context to make it
useful

10. Data
Characteristics
4 Vs of Data
➢ Volume
➢ Velocity
➢ Variety
➢ Veracity

11. Different
Terminologies
Data Engineer
Data Scientist
Data Analytics
Business Intelligence
Big Data

12. Career Path
● Programming Skills
● Python/R/Java
● Data Structures
● github
● Debugging Skills
First Steps

13. Career Path
Next Step
● Machine Learning
● Theory - Thoroughly
Understand
● Practical - Implementation.
● Choose
○ Natural Language Processing
○ Image Processing
○ Computer Vision
● Neural Network/Deep Learning.

14. Career Path
Resources & Advice
● Practice, Practice, Practice
● Follow StepUp Analytics
● Kaggle.com
● kdnuggets

15. Career Path
Tips
● Commit Projects to Github
● Work on Open Source Projects
● Attend Meetups and Build
Contacts
● Present Talks at Meetups
● Write Blogs
● Find Mentor and Work with
Experienced Data Scientist

16. Q & A
https://www.quora.com/profile/Manjunath-Sindagi/Posts/Advise-Pursuing-Car
eer-in-Data-Science-Machine-learning-etc

17. Contact
Email : sindagimanju@gmail.com
Quora : https://www.quora.com/profile/Manjunath-Sindagi
Twitter : https://twitter.com/smanjunath
Linkedin : https://www.linkedin.com/in/smanjunath/