Hypothesis Testing in Python, Short Course | Part time online | Data Camp | United States
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Hypothesis Testing in Python

1 days
Duration
Free
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Tuition fee
Anytime
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About

In this Hypothesis Testing in Python course at Data Camp, you'll grow your Python analytical skills as you learn how and when to use common tests like t-tests, proportion tests, and chi-square tests.

Overview

Context of the Hypothesis Testing in Python course at Data Camp

Hypothesis testing lets you answer questions about your datasets in a statistically rigorous way.

 Working with real-world data, including Stack Overflow user feedback, you'll gain a deep understanding of how these tests work, and the key assumptions that underpin them.

 You'll also discover how different tests are related using the “there is only one test" framework, before learning how to use non-parametric tests to go beyond the limitations of side-step the requirements of hypothesis tests.

Programme Structure

Chapters

  • Yum, That Dish Tests Good
  • Pass Me ANOVA Glass of Iced t
  • Letting the Categoricals Out of the Bag
  • Time to Define the Relationship

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic 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

  • Sampling in Python

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.
  • National

    Free
    Tuition Fee
    Based 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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