Hypothesis Testing for Data Science
Learn to code frameworks that will support your hypotheses with statistical analysis.
- 2.8 Hours of Video
- Certificate of Completion
- Source Code
- Closed Captions
- On-demand, 24/7 access
- 2.8 hours of video
- Certificate of completion
- Source code and PDF notes
- Closed captions
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)
Frameworks and tools covered: Python 3.7, Anaconda 5.3, SciPy 1.1, Matplotlib 3.0
Your Courses, Your Way
All of our project-based courses are designed to be flexible – you can access courses 24/7 to fit them around your schedule, and choose the learning materials that suit you best.
You can even download your lessons and watch them offline using the Zenva app, available on iOS and Android.
Learn from World-Class Instructors
Our course instructors participate in elite developer programs and have been recognized for their demonstrated excellence in development and teaching.
That way, you can be confident that you’re learning the most up-to-date content from industry experts.
Interactive Lessons with Codemurai
Our unlimited access package comes with free access to all of the courses in our mobile app, Codemurai!
Available on iOS and Android, it’s full of interactive programming lessons and exercises so you can continue your learning on the go.
Achieve Real Results
Our community of 500,000+ 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:
“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.”
“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.”
“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.”
“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 in visualizing data is required to complete this course. If you have not already done so, we highly recommend that you first complete Probability Foundations for Data Science, Data Analysis with Pandas , and The Complete Python Data Visualization Course before taking this course.