My Data Science Journey

Path to my self-taught education in Data Science

About Me

My name is David, lives in Ho Chi Minh City, the south of Vietnam. I've been working as a Project Manager at YOMI Studio for the last 5 years - a digital product agency that builds products to grow clients' businesses. Also, I focus my time and efforts to help build our own's products that gave me many valuable lessons.

When products grow, I find myself facing a new challenge that dealing with data. Some questions immediately come to my mind when having data are:

• What to do with those data?
• What are the insights that can help bring more value to the product and the business?
• How and where should we start?
• ...

One quote from Andrew Ng once said "Some of the most successful businesses succeed by exploiting their users." and I believe that's true, user-centric is the key and you have to understand your users to bring them more value, that will lead to the success of a business.

This project is a place for me to keep track of my learning. Not all resources record here, just the ones that I have completed so far and the following ones that are on my mind for a next step (in a short/medium or even long term).

Thanks to many good resources from MOOC, especially Virgilio 👍 👍 👍 for such a great library and help me a lot during my journey.

Math

Linear Algebra

Courses	Duration	Effort	Progress
Linear Algebra - Foundations to Frontiers	15 weeks	8 hours/week	To Do
Applications of Linear Algebra Part 1	5 weeks	4 hours/week	To Do
Applications of Linear Algebra Part 2	4 weeks	5 hours/week	In To Do

Single Variable Calculus

Courses	Duration	Effort	Progress
Calculus 1A: Differentiation	13 weeks	6-10 hours/week	To Do
Calculus 1B: Integration	13 weeks	6-10 hours/week	To Do
Calculus 1C: Coordinate Systems & Infinite Series	13 weeks	6-10 hours/week	To Do

Multivariable Calculus

Courses	Duration	Effort	Progress
MIT OCW Multivariable Calculus	15 weeks	8 hours/week	To Do

Probability and Statistics

Courses	Duration	Effort	Progress
Introduction to Probability	16 weeks	12 hours/week	To Do
Introduction to Statistics: Descriptive Statistics	5 weeks	6 - 8 hours/week	To Do
Introduction to Statistics: Probability	5 weeks	6 - 8 hours/week	To Do
Introduction to Statistics: Inference	5 weeks	6 - 8 hours/week	To Do

Data Wrangling

Courses	Duration	Effort	Progress
Data Wrangling with MongoDB	8 weeks	10 hours/week	To Do

Big Data

Courses	Duration	Effort	Progress
Intro to Hadoop and MapReduce	4 weeks	6 hours/week	To Do
Deploying a Hadoop Cluster	3 weeks	6 hours/week	To Do

Coding

• Python
• R

DataCamp Career Track

Track	Courses	Duration	Effort	Progress
Data Analyst with R	19 courses	64 hours	8 - 10 hours/week	Done
Data Analyst with Python	16 courses	60 hours	8 - 10 hours/week	Done

Micro Master Georgia Tech OMSA

Courses	Duration	Effort	Progress
Computing for Data Analysis	5 months	10 - 12 hours/week	Done
Data Analytics for Business	5 months	10 - 12 hours/week	In Progress
Introduction to Analytics Modeling	5 months	10 - 12 hours/week	Upcoming

Kaggle Projects in R

• Exploratory Analysis - Zillow
• Exploring Survival on the Titanic

Kaggle Projects in Python

Books

Name	Progress
R for Data Science	To Do
R in Action (2nd ed.)	To Do
Efficient R Programming	To Do
The Elements of Statistical Learning (2nd ed.)	To Do