DebKR

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Diving Into Data: Course Listing (work in progress)

Diving Into Data: Course Listing (work in progress)

By

coursesStanford Engineering Everywhere
URL: https://see.stanford.edu/Course

Computer Science/Programming: Programming Methodology; Programming Abstractions; Programming Paradigms

Artificial Intelligence: Introduction to Robotics; Machine Learning

Linear Systems & Optimisation: Fourier Transform and Applications; Intro to Linear Dynamical Systems; Convex Optimisation I & II

Caltech
URL: http://online.caltech.edu/

Machine Learning
Learning from Data – Yaser Abu-Mostafa (recommended by AnalyticsVidhya)

Coursera
URL: https://www.coursera.org/

Mathematics
Single Variable Calculus (preparatory course)
Calculus I
Calculus II
Multivariable Differential Calculus (recommended by AnalyticsVidhya)
Complex Analysis/Complex Dynamics

Statistics
Data Analysis and Statistical Inference (commences 2Mar, 8-10 hours/week, certificate, FREE) (recommended by AnalyticsVidhya)
Statistics: Making Sense of Data

Data Science/Analytics
Data Science (9 courses + Project with Certification; Commencing 29Feb £284)
Big Data
Business Analytics
Excel to MySQL: Analytic Techniques
Data Scientist’s Toolbox
Computational Methods for Data Analysis

Computer Science/Programming
Python for Everybody
Algorithms I
Algorithms II
R Programming
Algorithms: Design and Analysis, Part 1 – Stanford
Algorithms: Design and Analysis, Part 2
Analysis of Algorithms – Princeton (Commences 4Mar)
Fundamentals of Computing (6 courses + Project with Certification; using Python)

AI/Machine Learning
Machine Learning – Andrew Ng – Stanford (Commencing 9Mar, FREE) (recommended by AnalyticsVidhya)
Machine Learning
Neural Networks for Machine Learning
Probabilistic Graphical Models

EdX
URL: https://www.edx.org/

ALL Data Analysis and Statistics courses
ALL Computer Science courses
ALL Mathematics courses

Udacity
URL: https://www.udacity.com/

Statistics
Intro to Descriptive Statistics (recommended by AnalyticsVidhya)
Intro to Inferential Statistics (recommended by AnalyticsVidhya)

Data Science
ALL Data Science courses

Computer Science/Programming
ALL Computer Science courses

Khan Academy
URL: https://www.khanacademy.org/

Mathematics
Algebra courses (recommended by AnalyticsVidhya)

Probability and Statistics
ALL courses (recommended by AnalyticsVidhya)

Computer Science
ALL courses

Codecademy
URL: https://www.codecademy.com/

Programming
Java (4 hours)
Python (18 hours) (recommended by AnalyticsVidhya)
SQL (3 hours)
SQL: Analysing Business Metrics (2 hours)
API’s (various)

Linda.com on LinkedIn
URL: http://www.lynda.com/

Programming
Code Clinic (various courses)
Foundations of Programming
Code Clinic: Java (27 courses)
Java Essentials
Code Clinic: Python (17 courses)
Code Clinic: SQL (x courses)
ALL Developer Training

Data/Analytics
ALL Data Analysis courses

DataQuest
URL: https://www.dataquest.io/
Programming / Practising Python on real datasets (recommended by AnalyticsVidhya)

GitHub
URL: https://github.com/
Software Development / project design / programming practice (recommended by AnalyticsVidhya)

LiStudy
URL: http://www.listudy.com/

Independents
Lists resources for learning data science, machine learning, statistics

Data Science/Analytics
Predictive Analytics – Eric Siegel (recommended by AnalyticsVidhya) – Book (Amazon UK) – Companion Website
SAS http://support.sas.com/learn/
MapR and Hadoop Training https://www.mapr.com/

Data Visualisation
Information Dashboard Design- Stephen Few (recommended by AnalyticsVidhya) – Book (Amazon UK)
Visualize This – Nathan Yau (recommended by AnalyticsVidhya) – Book (Amazon UK) – Companion Website

Programming
Advanced R – Hadley Wickham (recommended by AnalyticsVidhya) – Book (Amazon UK) – Companion Website
Data Science from Scratch: First Principles with Python – Joel Grus – Book (Amazon UK)
Python for Data Analysis – Wes McKinney (recommended by AnalyticsVidhya) – Book (Amazon UK)
Web Scraping with Python: Collecting Data from the Modern Web – Ryan Mitchell – Book (Amazon UK)

Machine Learning
Python Machine Learning – Sebastian Raschka – Book (Amazon UK)
Pattern Recognition and Machine Learning – Christopher Bishop (recommended by AnalyticsVidhya) – Book (Amazon UK)

 

Others (to be checked)
The following articles also have more course recommendations (still to be reviewed & added to the above list):
7 Free Machine Learning Courses
How Do I learn Machine Learning?

 

With thanks to the following for advice, recommendations and general cleverness:
Analytics Vidhya: The Ultimate Plan to Becoming A Data Scientist