Blog

Practice makes perfect.

Basic course needed for data science

Jon Snow / 2019-11-07


All the course suggestion come from blog http://www.juyang.co/phd%e8%bd%ac%e8%a1%8c%e4%b9%8b%e8%b7%af/

Beginner:

Intro to Computer Science Free

(https://www.udacity.com/course/intro-to-computer-science–cs101)

Programming Foundations with Python Free

(https://www.udacity.com/course/programming-foundations-with-python–ud036)

Design of Computer Programs

(https://www.udacity.com/course/design-of-computer-programs–cs212)

Essential Data Structures in C/C++

(http://www.cs.columbia.edu/~jae/3136/)

Introduction to Algorithms

(https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-006-introduction-to-algorithms-fall-2011/)

Data Analyst Nanodegree

(https://www.udacity.com/course/data-analyst-nanodegree–nd002)

Intro to Statistics

(https://www.udacity.com/course/intro-to-statistics–st101)

Intro to Descriptive Statistics

https://www.udacity.com/course/intro-to-descriptive-statistics–ud827

Intro to Inferential Statistics

https://www.udacity.com/course/intro-to-inferential-statistics–ud201

Time Series Forecasting

https://www.udacity.com/course/time-series-forecasting–ud980

https://www.udacity.com/course/intro-to-data-analysis–ud170

https://www.udacity.com/course/data-wrangling-with-mongodb–ud032

Intro to Machine Learning

https://www.udacity.com/course/intro-to-machine-learning–ud120

Machine Learning

https://www.coursera.org/learn/machine-learning