Tips for getting a data science job (noted by Joma Tech)

1. Learn SQL

• Book: SQL Fundamentals I Exam Guide
• Advanced book: 4+5+6+8+ 9. PL/SQLLangua Reference

2. Learn success metrics & tracking metrics (currently no mats)

• A/B test etc.

3. Learn programing language

• IPython, tableu, R
• Website: for Python https://courses.edx.org/courses/course-v1:MITx+6.00.1x+2T2017_2/course/ https://codesignal.com/ - CodeFight https://leetcode.com/

4. Communicate and presentation skill

5. Learn predictive modeling

1. Technical Interview

• Simple SQL, sequel question
• Simple coding question like Python
• Book: Craking the Coding Interview
• Website: programmerInterview.com, SQL tutorial, w3school.com, glassdoor

2. Math Interview

• simple probability question

• Conditional propability
• Bayes Theorem
• Binomial Distribution
• Normal Distribution
• Descriptive Statistics
• Law of Large Numbers
• Central Limit Theorem
• Linear Regression

• Website: https://brilliant.org/

3. Product Interview

• Hypothetical Product
• Metrics tracking

• Big Data hands-on: Udemy, Udacity (free course)
• AWS hands-on: Udemy
• Machine Learning, Deep learning, NLP, Self-Driving Car: Udacity
• Mats from friends: Data Analyst - Udacity
• Book: CuongBK

• Big Data: Cloudera: https://www.cloudera.com/more/training/certification.html
• AWS: SA Associate, DevOpt Associate

• Blog: github, wordpress, linkedIn
• Libraries: write down all Model code (tensorflow) so all I need to do is just playing lego job later
• New languages: FR, JP