Statistical Thinking for Data Analysis

Statistical Thinking for Data Analysis, available at $99.99, has an average rating of 4.65, with 42 lectures, based on 32 reviews, and has 293 subscribers.

You will learn about How to assess the quality of study design and how it affects data quality How to reason with variation in data using data visualizations and summary statistics How to reason with the variation in sample statistics using sampling distributions A conceptual understanding of statistical inference: confidence intervals and hypothesis testing Introduction to linear regression Introduction to R and RStudio analyzing real-world data This course is ideal for individuals who are Students who want to gain a foundational understanding of statistics. or Professionals, like doctors or journalists, who need a better understanding of statistical inference for assessing the quality of research or Professors preparing to teach introductory statistics courses using my book or Anyone who wants to gain the critical and statistical thinking skills to question the quality of statistical information presented in the media or in journal articles It is particularly useful for Students who want to gain a foundational understanding of statistics. or Professionals, like doctors or journalists, who need a better understanding of statistical inference for assessing the quality of research or Professors preparing to teach introductory statistics courses using my book or Anyone who wants to gain the critical and statistical thinking skills to question the quality of statistical information presented in the media or in journal articles.

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Summary

Title: Statistical Thinking for Data Analysis

Price: $99.99

Average Rating: 4.65

Number of Lectures: 42

Number of Published Lectures: 42

Number of Curriculum Items: 42

Number of Published Curriculum Objects: 42

Original Price: $99.99

Quality Status: approved

Status: Live

What You Will Learn

• How to assess the quality of study design and how it affects data quality
• How to reason with variation in data using data visualizations and summary statistics
• How to reason with the variation in sample statistics using sampling distributions
• A conceptual understanding of statistical inference: confidence intervals and hypothesis testing
• Introduction to linear regression
• Introduction to R and RStudio analyzing real-world data

Who Should Attend

• Students who want to gain a foundational understanding of statistics.
• Professionals, like doctors or journalists, who need a better understanding of statistical inference for assessing the quality of research
• Professors preparing to teach introductory statistics courses using my book
• Anyone who wants to gain the critical and statistical thinking skills to question the quality of statistical information presented in the media or in journal articles

Target Audiences

• Students who want to gain a foundational understanding of statistics.
• Professionals, like doctors or journalists, who need a better understanding of statistical inference for assessing the quality of research
• Professors preparing to teach introductory statistics courses using my book
• Anyone who wants to gain the critical and statistical thinking skills to question the quality of statistical information presented in the media or in journal articles