Get the Machine Learning and Data Science eBook and Course Bundle for just $46

Today's highlighted deal comes via our Online Courses section of Neowin Deals, where you can save 89% off the recommended retail pricing of this Machine Learning and Data Science eBook and Course Bundle. A complete library on modern data tools and techniques that can give you a major career boost.

What's the deal

This bundle consists of the following items:

1. Learning Ansible 2: Second Edition eBook
   Handle Complex, Repetitive Tasks with Ease with Ansible 2

2. Practical DevOps eBook
   Harness the Power of DevOps to Boost Your Skill Set & Make An IT Organization Perform Better

3. DevOps Automation Cookbook eBook
   Explore Over 120 Recipes Covering Key Automation Techniques

4. Python Machine Learning eBook
   Build Powerful Python Machine Learning Algorithms to Generate Useful Data Insights

5. Mastering Python for Data Science eBook
   Explore the World of Data Science Through Python

6. Practical Data Analysis eBook
   A Practical Guide to Obtaining, Transforming, Exploring, & Analyzing Data

7. Data Mining with Python
   Learn Data Mining by Actually Doing It

8. Python Machine Learning Projects
   Discover the Reach of Machine Learning Through Six Projects in Python

For a full description of the above items, specs, and instructor info, click here.

What's the benefit?

This Machine Learning and Data Science eBook and Course Bundle normally represents an overall recommended retail pricing* of $433, but you can pick it up for just $46 for a limited time - that represents a saving of $387.

Save even more!

Stick with Neowin Deals and earn credit or even deeper discounts.

• For every $25 spent, you get $1 credit added to your Neowin Deals account.
• First time buyers are also eligible for a further 10% discount when you subscribe for email updates; be sure not to dismiss the popup offer on the deals page in order to profit!

Get this deal or learn more about it | View more discounted offers in Online Courses

Not for you?

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