Save 97% off this 2021 Complete Computer Science Training Bundle

Today's highlighted deal comes via our Online Courses section of the Neowin Deals store where you can save 97% off this 2021 Complete Computer Science Training Bundle. Build your IT and data science skill set with 212 hours of curated content on Python, Linux, TensorFlow, Discrete Math, and more.

This bundle consists of the following courses:

  1. Python Data Science
    Learn How to Use NumPy, Pandas, Seaborn, Matplotlib, Machine Learning & More
  2. Learn to Code with Python
    The Complete Python Bootcamp for 2021, Learn Python 3 From Beginner to Expert
  3. Mastering Linux Command Line ( + Live Linux Labs)
    Create Your Own AWS Linux EC2 Instance to Practice
  4. The Complete 2021 Web Developer Bootcamp: Build 15 Projects
    Prepare to Enter the Job Market with Real Portfolio Pieces That Are Sure to Impress
  5. Data Analysis & Statistical Modeling in R
    Learn the Foundation of Data Science, Analytics, & Data Interpretation Using Statistical Tests with Real World Examples
  6. The Complete Web Developer Course: Build 20 Websites
    Learn the Fundamentals of HTML, CSS & JavaScript and Build 20 Real-World Websites
  7. TensorFlow & Keras Masterclass for Machine Learning and AI in Python
    Master the Most Important Deep Learning Frameworks for Python Data Science
  8. Master Discrete Math, the Backbone of Mathematics & Computer Science
    Sets, Logic, Proof, Functions, Stats & More — Master the Backbone of Mathematics and Computer Science
  9. Applied Probability/Stats for Computer Science, DS & ML
    Real-World, Code-Oriented Learning for Programmers to Use Prob/Stats in All of CS, Data Science, & Machine Learning

What's the benefit?

This 2021 Complete Computer Science Training Bundle normally represents an overall recommended retail pricing* of $1,800 but it can be yours for just $39.99, a saving of $1,760.01. For a full description, specs, and instructor info please click the link below.

Get this deal, or learn more about it here

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