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Introductory Statistics : Analyzing Data Using Graphs and Statistics

edX, Online
Length
4 weeks
Price
49 USD
Next course start
Inquire for more information See details
Delivery
Virtual Classroom
Length
4 weeks
Price
49 USD
Next course start
Inquire for more information See details
Delivery
Virtual Classroom
Visit this course's homepage on the provider's site to learn more or book!

Course description

Introductory Statistics : Analyzing Data Using Graphs and Statistics

Why do we study statistics? The field of statistics provides professionals and scientists withconceptual foundations and useful techniques for evaluating ideas, testing theories, and - ultimately -uncovering the truth in any situation.

This course will familiarize you with data and basic statistical concepts, enabling you to analyze data using graphs and statistics. We'll start with types of data, controlled experiments,and observational study. You'll learn touse ahistogram, a representation of the distribution of numerical data, to easily arrange data.

You will learn about basic concepts of statistics, such as average and standard deviation. Methods of using the normal approximation to solve a problem will be covered in this course. Inaddition, we'll discussthe correlation coefficient and the regression method in order to represent the relationship between two variables.

Upcoming start dates

1 start date available

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  • Virtual Classroom
  • Online
  • English

Who should attend?

Prerequisites

None

Training content

Week 1

  • Statistics and Data
  • The Histogram

Week 2

  • The Average and the Standard Deviation
  • The Normal Approximation

Week 3

  • Correlation
  • Regression

Week 4

  • The Error for Regression
  • Regression Line

Course delivery details

This course is offered through Seoul National University, a partner institute of EdX.

1-2 hours per week

Costs

  • Verified Track -$49
  • Audit Track - Free

Certification / Credits

What you'll learn

  • Statistics and Data
  • The Histogram
  • The Average and the Standard Deviation
  • The Normal Approximation
  • Correlation
  • Regression
  • The Error for Regression
  • Regression Line

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