Overview
Context of the Performing Experiments in Python course at Data Camp
Data is all around us and can help us to understand many things.
Making a pretty graph is great, but how can we tell the difference between a few outliers on a graph and a real, reliable effect? Is a trend that we see on a graph a reliable result or just random chance playing tricks? In this course, you will learn how to interrogate datasets in a rigorous way, giving clear answers to your questions.
You will learn a range of statistical tests, how to apply them, how to understand their results, and how to deal with their shortcomings.
Programme Structure
Chapters
- The Basics of Statistical Hypothesis Testing
- Design Considerations in Experimental Design
- Sample size, Power analysis, and Effect size
- Testing Normality: Parametric and Non-parametric Tests
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
User Experience Design Software Engineering View 554 other Short Courses in Software Engineering in United StatesAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
PREREQUISITES
- Foundations of Probability in Python
Tuition Fee
To always see correct tuition fees
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International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing
Funding
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