Useful Links & References

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Websites

• Crash Course Statistics
• Khan Academy Probability and Statistics

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Deep Learning

Courses

• Stanford CS231n: Convolutional Neural Networks for Visual Recognition
• MIT 6.S191: Introduction to Deep Learning
• Princeton COS 495: Introduction to Deep Learning
• IDIAP EE559: Deep Learning
• ENS Deep Learning: Do It Yourself
• U of I IE 534: Deep Learning
• Full Stack Deep Learning

Tutorials

• Python/numpy tutorial
• PyTorch tutorial
• TensorFlow tutorial

Useful textbooks available online

• Deep Learning by I. Goodfellow, Y. Bengio and A. Courville
• Dive into Deep Learning – an interactive online book by A. Zhang, Z. Lipton, M. Li and A. Smola from Amazon
• Michael Nielsen’s online book on Neural Networks and Deep Learning
• Hastie, Tibshirani and Friedman, Elements of Statistical Learning
• David Forsyth’s Applied Machine Learning textbook draft

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Podcasts

• Data Skeptic
• Data Stories

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Programming

• Big O cheat sheet

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R Resources

• A brief tutorial on R (5 pages)
• Examples of the learnr package in R
• Swirl- Learn R, in R.
• An Introduction to R
• UCLA-Statistical Computing R resources
• Download and Install R - Comprehensive R Archive Network (CRAN) website
• All R Package Documentation from CRAN
• Awesome R
  
• R-Bloggers
• RStudio Cheatsheets
• Tidyverse
  
• Useful R Packages from RStudio

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Online Data Visualization Websites

• DataHero
• Plotly
• Number Picture
• Polychart
• Juice Analytics
• Weave
• Datavisual
• Zoomdata (via the cloud platforms)
• RAW
• Datawrapper

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Data Visualization Softwares

• Tableau
• SAP Lumira (including a free Personal Edition version)
• Microsoft Excel (or any other spreadsheet that includes charts)
• ClearStory
• Mathematica
• MATLAB
• MatPlotLib (if you are comfortable programming Python)
• R Programming Language
• ggplot2

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Data Sources

• Google Public Data Explorer
• Data from the World Bank

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GitHub Links

• “Awesome R” Packages
• “Bad Data” Guide
• Create Word Clouds
• Data Sharing for Statisticians
• Deep Learning Papers
• Public Datasets
• Machine Learning and Deep Learning Tutorials
• Machine Learning in Python
• 120 Data Science Interview Questions
• Coding Interview Guide
• Computer Science Links, Lists, and Resources
• Computer Science Papers ***

Online Help Forums

• r/Data Science
• r/learnmachinelearning
• r/MachineLearning
• Towards Data Science: Big List of Data Science / Machine Learning Interview Questions
• Towards Data Science: Mastering the Data Science Interview

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Self-Improvement

• The Pomodoro Method
• Want to learn a new skill? Take some short breaks
• The 30 Second Habit That Can Have a Big Impact On Your Life
• Multitasking Damages Your Brain And Career, New Studies Suggest

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