# Estimates & Measures

Data Science    |    Beginner
• 7 videos | 32m 21s
• Includes Assessment
Rating 4.0 of 58 users (58)
To effectively use the software and programming tools available for data scientists, you must understand underlying concepts. Discover how to use estimates and measures in data analysis.

## WHAT YOU WILL LEARN

• Identify and describe various statistical measures
Describe the difference between an unbiased and biased estimator
Describe sampling distributions and recognize the central limit theorem
Define confidence intervals and work with margins of error
• Carrying out hypothesis tests and working with p-values
Apply the chi-square test for categorical values
Identify the given data set descriptions by their types

## IN THIS COURSE

• During this video, you will learn how to identify and describe various statistical measures.
• After completing this video, you will be able to describe the difference between an unbiased and a biased estimator.
• 3.  Estimators
After completing this video, you will be able to describe sampling distributions and recognize the central limit theorem.
• 4.  Sampling Distributions
In this video, you will learn how to define confidence intervals and work with margins of error.
• 5.  Confidence Intervals
In this video, you will carry out hypothesis tests and work with p-values.
• 6.  Hypothesis Tests
In this video, find out how to apply the chi-square test for categorical data.
• 7.  Chi-Square
In this video, you will learn how to identify the types of data set descriptions.

## EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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