Collection of web resources for Open Learning

The following is a collection of open courses and books I have audited/read over the years.

I have been learning from open resources available on the internet and books from a couple of years now. Following is the collection of the resources that I have to referred to, which might help others in their learning journey.

These does not include all the courses I have audited, nor the details and description about the courses, But I will make it a point to improve the details and add descriptions and add new resources as and when I complete them.

I have also tried to add links for the resources, but some of the links may not work as the webpage might change.

Mathematics

• Multivariable Calculus-MIT(Youtube and MIT OCW)
• Mathematics for Machine Learning (Book)
• Essence of Linear Algebra- 3Blue2Brown(Youtube)
• Matrix Methods- Gilbert Strang, MIT (Youtube)
• Computational Thinking with Julia, MIT (Youtube)

Statistics

• Statistics 110 -Harvard(Youtube)
• Practical Time Series Analysis (Coursera)
• Introduction to Statistical Learning with R (Book)

Python,SQL,HTML and Javascript

• Introduction to programming in python- MIT (Youtube)
• Python for everybody
• Intermediate Python- Sentdex(Youtube)
• SQL - Socratica(Youtube)
• HTML/CSS and JavaScript for web developers- John Hopkins (Coursera)

Machine Learning and Data Science

• Machine Learning(Matlab Version)- Stanford(Coursera)

Computer Vision and Image Processing

• Math for Computer Vision- HSE University (Coursera)
• 2D Image Processing- HSE University(Coursera)

Deep Learning

• Deep Learning Specialization- DeepLearning.AI(Coursera)
  C1) Neural Networks and Deep Learning.
  C2) Improving Deep Neural Networks.
  C3) Convolutional Neural Networks
  C4) Natural Language Processing Sequence Models
• Tensorflow: Advance Techniques- DeepLearning.AI(Coursera)
  C1) Custom Layers, Models, and Loss Functions
  C2) Custom and Distributed Training
  C3) Advanced Computer Vision
  C4) Generative Deep Learning

GIS, Remote Sensing and Earth Observation

• Remote Sensing Image Acquisition, Analysis and Application-
• Introduction to GIS mapping- University of Toronto(Coursera)
• Gis-data acquisition and map-design- University of Toronto(Coursera)
• Spatial Analysis, Satellite Imagery- University of Toronto(Coursera)
• Earth Data Science Intermediate- Earth Lab CU Boulder
• Scientist’s Guide to Plotting Data in Python Textbook- Earth Lab CU Boulder

Operating Systems, Linux, and other Courses

• Operating System and you -Google( Coursera)
• Using Python to interact with OS -Google( Coursera)
• Hands-on introduction to Linux commands- IBM(Coursera)
• Introduction to Git and GitHub- Google( Coursera)

Economics, Banking, and Finance

• Introduction to Economic Theories- Erasmus University(Coursera)
• Financial Markets- Yale University (Coursera)
• Economics of Money and Banking- Columbia University(Coursera)

Data Science , Hackathons, Coding Practice Platforms

• Kaggle
• Drivendata
• Hackerrank
• Leetcode
• Omdena
• Zindi