Web Development or Data Science
- 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 through 1x1 mentorship and project-based learning. Guaranteed.
- 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 Education Advisor Thinkful Two Week TrialThinkful Two Week Trial Start With: Python/SQL or HTML,CSS and JavaScript Personal Program Manager Unlimited Group Mentor Sessions Student Slack Community Option to continue with full bootcamp Financing & scholarships available http://bit.ly/thinkful-ds-trial