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Intro to Inferential Statistics 

  • Offered byUDACITY

Intro to Inferential Statistics
 at 
UDACITY 
Overview

Upskilling is a better roadmap to success. Enroll in this course to learn critical principles of Data Science through real-life case studies & examples.

Duration

2 months

Total fee

Free

Mode of learning

Online

Schedule type

Self paced

Difficulty level

Beginner

Official Website

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Credential

Certificate

Intro to Inferential Statistics
 at 
UDACITY 
Highlights

  • Flexible Learning Program
  • Real World Projects from Industry Experts
  • Self-Paced Learning
  • Taught by Industry Pros
Read more
Details Icon

Intro to Inferential Statistics
 at 
UDACITY 
Course details

What are the course deliverables?
  • Self-Paced Learning
  • Taught by Industry Pros
  • Student Support Community
  • Self-Paced Learning
  • Get access to classroom immediately on enrollment
More about this course
  • Inferential statistics allows us to draw conclusions from data that might not be immediately obvious. This course focuses on enhancing your ability to develop hypotheses and use common tests such as t-tests, ANOVA tests, and regression to validate your claims.

Intro to Inferential Statistics
 at 
UDACITY 
Curriculum

LESSON 1: Estimation

Estimate population parameters from sample statistics using confidence intervals

Estimate the effect of a treatment.

LESSON 2:Hypothesis Testing

How to determine if a treatment has changed the value of a population parameter.

LESSON 3: t-tests

How to test the effect of a treatment.

Compare the difference in means for two groups when there are small sample sizes.

LESSON 4: ANOVA

Learn how to test whether or not there are differences between three or more groups

LESSON 5 : Correlation

Learn how to describe and test the strength of a relationship between two variables.

LESSON 6: Regression

How changes in one variable are related to changes in a second variable.

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Intro to Inferential Statistics
 at 
UDACITY 

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