Web Development or Data Science. What is the correct path for you?

1. Web Development vs Data Science?Web Development vs Data Science?
July 2018
That is the question.

2. About Thinkful
We train developers and data scientists
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3. Today's Goals
What is Data Science?
What is Web development?
How's the job market for both?
How do I know if I'm geared for either?
Next steps

4. What is Data Science

5. What is Data Science: The Data Pipeline
1. Form a Question
2. Collect the Raw Data
3. Process the Data
4. Explore the Data
5. Communicate Results

6. What is Data Science: 4 Types of Data Scientists
1. The Researcher
2. The AI or Automation Guru
3. The Statistician
4. The Super Analyst

7. What is Data Science: The Researcher
The first data scientists
Often have PhD’s or other advanced degrees
Research background (often in academia)
Research at big companies
Google, Microsoft, etc all have research
departments
Become Teachers themselves
Government agencies

8. What is Data Science: The Researcher
Work on cutting edge research
The first facial recognition software
Self driving cars
Start by getting a PhD or graduate degree
Then learn to code

9. What is Data Science: The AI Guru
They love to code
Mostly from scratch
Work at big companies and startups
There are over 3,000 Artificial Intelligence
startups on AngelList
(if you don't know what AngelList is...)
https://angel.co

10. What is Data Science: The AI Guru
Chatbots and automated assistants
(Siri, Alexa, Einstein, Will.i.Am, etc)
Automated Support
Really just automating anything
Replacing humans, adding efficiency
Write code for everything
Try to automate your own life or routines
Python/JavaScript

11. What is Data Science: The Statistician
Formal mathematics or statistics training
Lots of Masters in Statistics (shocking)
Not necessarily experienced programmers
May use tools like STATA or R
Statistical consultants
Political polling as an example
Experimentation experts
A/B testing
Optimizely

12. What is Data Science: The Statistician
Answer statistical questions with data
Are these things different?
Which is best?
Usually don’t build consumer products
Study the math
Elements of Statistical Learning is a great place
to start
But the AI gurus may be automating a lot of
these jobs away...

13. What is Data Science: The Super Analyst
This is the fastest growing section of data
science
Love numbers and products, and want to put
the two together
Expert problem solvers through code
Can communicate those solutions
Different from a Data Analyst (machine
learning)
The foot-soldiers of the data science revolution...

14. What is Data Science: The Super Analyst
Every company that generates data
Every app and website records enormous
amounts of data
What can be learned from that data
So basically, Data Scientists are needed
everywhere.

15. What is Data Science: The Super Analyst
They don’t necessarily build consumer
products, but find consumer insights
Who’s going to be our next customer?
What’s our growth going to be next month?
Will this person click on our ad?
Learn to code
Immerse yourself in data
Learn some basic Machine Learning

16. What is Data Science: Growth in the Job Market
https://www.glassdoor.com/Salaries/houston-data-scientist-salary-SRCH_IL.0,7_IM394_KO8,22.htm

17. What is Data Science: Growth in the Job Market
https://trends.google.com/trends/explore?date=today%205-y&q=data%20science

18. What is Web Development

19. What is Web Development: Types of Developers
Frontend Engineer: using technologies such as
HTML, CSS, and JS to create interactive
experiences through websites
Backend Engineer: creating applications that
deliver data to websites, mobile apps, or
databases.

20. What is Web Development: Types of Developers
Full Stack Engineer: a rare breed of developers
that can do both frontend and backend
engineering (2-5 years)
QA Engineer: creating and running tests for
code that is written by other developers to
help catch bugs before the code is made live

21. What is Web Development: Indirect Tech Jobs
Product Manager (Coding + Product)
someone who understands the business
goals of a customer and can create product
requirements to give to developers.
Lay-nical / Tech-man
Growth Hacker (Coding + Marketing)
someone who can use data and analytics
to come up with experiments on how to
increase traffic to a website or social media
profile

22. What is Web Development: Indirect Tech Jobs
Sales Engineer (Coding + Sales)
understanding coding can be extremely
helpful in a sales role. Come out of the
basement nerd.
Data Scientist (Coding + Data)
someone who can use statistics and
programming to find valuable insights from
extremely large datasets

23. What is Web Development: Growth in Job Market

24. Growth in Job Market Compared

26. Interests and Personality: Data Scientists

27. Interests and Personality: Data Scientists
Have a graduate degree or a strong,
quantitative academic background
Statistician or a Researcher
Are an experienced engineer
You could be an AI guru
Love data, and analysis, and want to find the
‘signal in the noise’
You could be a Super Analyst

28. Interests and Personality: Web Developers

29. Interests and Personality: Web Developers
If you enjoy designing and creating user
experiences that others can enjoy
frontend engineer or full stack engineer
If you love organizing data in tables and
sending data to the right place
backend engineer or full stack engineer
If you like catching bugs or creating tests to
make sure features pass or fail
QA Engineer

30. Ways to learn: Data Science

31. Ways to Learn: Web Development

32. Jordan Zurowski
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