Sage Publications

Foundations of Statistical Thinking and Data Representation

Sage Publications

Foundations of Statistical Thinking and Data Representation

Sage Instructors

Instructor: Sage Instructors

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Interpret and analyze raw data using core statistical methods

  • Apply probability concepts to real-world situations

  • Conduct hypothesis testing and evaluate statistical theories

Details to know

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Recently updated!

October 2026

Assessments

7 assignments

Taught in English

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This course is part of the An Adventure in Statistics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 6 modules in this course

This module explores the structure and function of a fictional city called Elpis, analyzing its six districts to understand how geographic, social, and architectural differences influence the city's identity and practical systems. Learners will examine how science and research methods are used to investigate real-world questions and develop critical thinking skills.

What's included

1 video10 readings1 assignment

This module explores the critical role of variables and measurement in research, focusing on how data integrity and accuracy impact study outcomes. Learners will examine strategies for ensuring reliable data collection and interpretation, and understand the importance of validity and reliability in research findings.

What's included

1 video10 readings1 assignment

This module explores how to summarize and interpret data through frequency distributions, graphical representations, and real-world examples. Learners will gain skills in analyzing data patterns and understanding their implications in various contexts. The content also delves into the importance of accurate data interpretation in decision-making processes.

What's included

1 video6 readings1 assignment

This module explores the fundamentals of statistical modeling, focusing on central tendency measures such as the mean, median, and mode. It also covers how to assess the fit of models and understand variability through concepts like variance and range. Learners will gain practical knowledge on summarizing and interpreting data using statistical techniques.

What's included

1 video12 readings1 assignment

This module explores the principles of effective data visualization and communication, focusing on interpreting different types of graphs, understanding visual elements, and identifying key features that contribute to clear data representation.

What's included

1 video8 readings1 assignment

This module explores the concept of z-scores and how they are used to interpret and compare data within distributions. Learners will gain an understanding of standardizing scores and applying z-scores in real-world scenarios. The content also covers how z-scores help in making meaningful comparisons across different data sets.

What's included

1 video6 readings2 assignments

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Instructor

Sage Instructors
Sage Publications
174 Courses9,073 learners

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