Hypothesis Testing for Data Science

Hypotheses (explanations for things that are yet to be proved) are an important facet of data science, as they help to drive innovation and progress. This course will show you how to strengthen your hypotheses by supporting your claims with statistical evidence. From a foundational understanding of the concepts underlying hypothesis testing, to working through lots of different, practical examples, and even coding your own testing framework from the ground up, you will have everything that you need to create bullet-proof hypotheses.

In this course, you will learn:

  • Random Variables
  • Probability Distributions (including Gaussian/Normal Distributions)
  • z-tests
  • t-tests
Courses by the World’s Best 

Our course instructors aren’t just fun to learn from – they’re qualified coders who have been formally certified for their excellent programming and teaching skills. That way, you can be confident that you’re developing strong, modern skills that will set you up for success as a developer.

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Learn with project-based courses that are designed to be flexible – access them 24/7, fit them around your schedule, and choose the learning materials that suit you best.

With an online platform optimized for all modern devices, you can even learn on the go!

✅ Watch video lessons

✅ Read text summaries

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✅ Practice with source code

✅ Build real projects

✅ Earn completion certificates

ACHIEVE REAL RESULTS

Our community of 1,000,000+ learners and developers have used the skills learned with us to publish their own games and websites, land their dream jobs, and even start their own businesses – and you have the potential to do the same!

Check out what our learners think below:

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MIHIR PATEL

I love the lectures, concise course objectives, and how they not only teach you enough to get started, but prepare you for the advanced stuff later down the road.

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MONICA MANCUSI

With Zenva, I started learning a more accurate way to approach problems and develop solutions. It’s full of interesting topics that I love to learn in conjunction with my work.

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CRAIG BICKFORD

I chose Zenva because of the large selection of topics and the fact that I can choose what courses I want to take whenever I want to take them. That level of freedom is unique to Zenva.

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ANDREA CARDENAS-ROEDER

The Unity courses at Zenva helped me achieve a level of comfort with game development that I didn’t think was possible. They give you the confidence to expand your skills, and were so easy to understand.

A solid understanding of probability theory, analyzing data with Pandas, and visualizing data. We recommend you complete Probability Foundations for Data Science, Data Analysis with Pandas, and The Complete Python Data Visualization Course before taking this course.

Tools and Frameworks

Python 3.7, Anaconda 5.3, SciPy 1.1, Matplotlib 3.0

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