The Data

Building the Workforce of the Future

"There cannot be equity in society without equity in data collection, curation, and decisions."

Women in Big Data Founders
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Special Offer for WiBD Members

Net Academy is inviting a limited number of Women in Big Data members to high-quality, fifty-hour online training offerings on Big Data and Analytics. Members who successfully complete the courses will receive a certificate of completion.

Click here to get an individual promotion code.

You must be part of our Women in Big Data LinkedIn forum to register.

Click here for more detailed information about the training.

Levels: I=Introductory, INT=Intermediate, U=Undergrad, A=Advanced


  • A Day in the Life of a Data Scientist (WiBD) -INT-
  • Work/Life Balance: Myths and Reality (WiBD) -I-




  • Intro to Python for Data Science (DataCamp) -I-
  • Complete Python Bootcamp (Udemy) -I-
  • Introduction of Comp Sci & Programming Using Python (edx) -I-
  • Python Beyond the Basics - Object-Oriented Programming (Udemy) -A-


  • R Programming (Coursera, JHU) -INT-
  • Introduction to R for Data Science (edX) I-

Big Data & Cloud Computing


Machine Learning

  • Introduction to Machine Learning (WiBD) -I-
  • Machine Learning by Andrew Ng (Coursera) -INT-
  • Stanford CS229 Machine Learning (Course Page), (Youtube, 2008) -INT-
  • Berkeley CS 189 Introduction to Machine Learning (Berkeley) -A-
  • Google Machine Learning Crash Course (Google) -I-

Deep Learning & Neural Network

  • Lightweight Object Detectors: Overview (WiBD) -I-
  • Neural Nets: Development Process (WiBD) -I-
  • AI and Big Data Analytics (WiBD) -I-
  • Neural Networks and Deep Learning by Andrew Ng (Coursera) -A-
  • Convolutional Neural Networks by Andrew Ng (Coursera) -A-
  • MIT 6.S191: Introduction to Deep Learning (MIT) -INT-
  • CS231n: Convolutional Neural Networks for Visual Recognition (Youtube, Stanford) -A-
  • CS224n: Natural Language Processing with Deep Learning (Youtube, Stanford) -A-
  • MIT 6.S094: Deep Learning for Self-Driving Cars (Youtube, MIT) -A-
  • Neural Network for Machine Learning (Coursera, U of Toronto) -INT-
  • ai Courses ( -INT-
  • Stanford CS20SI - TensorFlow (Youtube, Stanford) -INT-

Computer Science

Experiment Design


  • Data Visualization and Communication with Tableau (Coursera, Duke) -INT-
  • Data Visualization and D3.js (Udacity) -INT-

Time Series Analysis

  • Time Series Forecasting (Udacity) -INT-


  • Python Tutorial (org)
  • Learn Python the Hard Way (free book)


 Data Mining

  • Stanford CS246 Mining of Massive Dataset (free book)


 Machine Learning

 Deep Learning & Neural Network

  • Deep Learning by Ian Goodfellow (free book)

Natural Language Processing

  • Natural Language Processing with Python (free book)

 Product Sense

  • Lean Analytics (Amazon)
  • Cracking the PM Interview (Amazon)

Coding Practices

 Data Science

  • Analytics Vidhya (blog)
  • R Bloggers (web)
  • KDnuggets (blog)
  • Kaggle official blog (blog)
  • Dataquest (blog)
  • Data Tau News (news)

 Company Engineering / Data Science Blogs

  • AWS Big Data Blog (blog)
  • Airbnb Engineering & Data Science Blog (blog)
  • Google Cloud Big Data & Machine Learning Blog (blog)
  • Twitter Engineering Blog (blog)
  • Cloudera Blog (blog)
  • Databricks Blog (blog)

Please note: These are courses recommended by your peers; they have NOT been verified by WiBD (unless specifically stated in the recommended course section).


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  • Anybody else doing the Machine Learning Course by Andrew Ng on Coursera ? Would love to set up a slack group and work each week together to keep us on track. Please reply here.