Teaching Statistics Through Inferential Reasoning (MOOc-Ed)

Offered by NC State University,
Teaching Statistics Through Inferential Reasoning (MOOc-Ed)

Every day we have opportunities to make data-based decisions and to consider how information we gather can inform us about what can be claimed about a situation, process, or larger collection. To prepare the next generation of data active citizens, we need to engage learners of all ages in investigations focused on making inferences and claims, supported by samples of data. This course allows you to learn, along with colleagues from other schools, how to emphasize inferential reasoning in teaching statistics through posing different types of investigative questions.

Course Objectives:

  • Strengthen your understanding of how to engage students in a statistical investigation process for the purpose of making inferences or claims;
  • Explore a framework for guiding your teaching of statistical investigations to promote inferential reasoning for your students;
  • Use rich data sources and dynamic graphing tools to support data exploration for investigative questions that give students opportunities to make inferences about contexts and issues of interest them;
  • Examine the ways students reason with data to make inferences or claims;
  • Apply a framework for inferential reasoning to your educational practices;
  • Collaborate with colleagues near and far to gain different perspectives and to build a library of teaching resources.
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

How to Write and Publish a Scientific Paper (Project-Centered Course) (Coursera) Coursera
École Polytechnique

How to Write and Publish a Scientific Paper (Project-Centered Course) (Coursera)

In this project-based course, you will outline a complete scientific paper, choose an appropriate journal to which you'll submit the finished paper for publication, and prepare a checklist that will allow you to independently judge whether your paper is ready to submit. What you'll need to get started: This course is designed for students who have previous experience with academic research - you should be eager to adapt our writing and publishing advice to an existing personal project.

Jun 8th 2026
4 Weeks
Computational Thinking and Design (MOO-Ed) MOOC-Ed
NC State University

Computational Thinking and Design (MOO-Ed)

Throughout this MOOC-Ed, you'll have the opportunity to dig into digital-age problem solving, engage with its component skills and concepts, and learn how to integrate them into your instructional practice. This course will not be heavy on coding, and you won't need to know any code going in - it will focus on how to integrate digital-age problem solving in a practical way into your classroom.

No sessions available
5-12 Weeks
Teaching Foundational Reading Skills (MOOC-Ed) MOOC-Ed
NC State University

Teaching Foundational Reading Skills (MOOC-Ed)

The Teaching Foundational Reading Skills MOOC-Ed will help you more effectively prepare your students in grades K–3 with the skills they need to become successful readers. Organized around the four major research-based recommendations of the Foundational Skills to Support Reading for Understanding in Kindergarten Through 3rd Grade Practice Guide, this MOOC-Ed will help you effectively implement them with your students so they are able to read words, relate those words to their oral language, and read with sufficient accuracy and fluency to understand what they read.

No sessions available
4 Weeks
Teaching EFL/ESL Reading: A Task Based Approach (Coursera) Coursera
University of London,UCL Institute of Education

Teaching EFL/ESL Reading: A Task Based Approach (Coursera)

This course explores ways of teaching reading skills in English as Second and Foreign Language (ESL/EFL) using a task-based approach. You will be introduced to the concept of task and the key principles of task-based language teaching (TBLT) and learning. TBLT uses communicative tasks as the key unit for creating language learning activities. You will also examine the role of reading in real-life and in second and foreign language teaching and current thinking about the interface between TBLT and second language reading.

Jun 8th 2026
5-12 Weeks
Basic Statistics (Coursera) Coursera
University of Amsterdam

Basic Statistics (Coursera)

Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics. In the first part of the course we will discuss methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression.

Jun 8th 2026
5-12 Weeks
Teach English Now! Lesson Design and Assessment (Coursera) Coursera
Arizona State University

Teach English Now! Lesson Design and Assessment (Coursera)

Learners will be introduced to designing lesson plans based on principles and knowledge of learning objectives, assessment plans, methods, materials, and learning activities. Learners will find and prepare appropriate teaching materials through careful analysis, adaptation and creation of professional resources. Learners will also reflect on the cohesion between lesson design and teaching philosophies.

Jun 8th 2026
5-12 Weeks
English for Teaching Purposes (Coursera) Coursera
Universitat Autònoma de Barcelona

English for Teaching Purposes (Coursera)

Thinking about teaching your university subject in English but it’s not the Language you normally use? Then, English for teaching purposes is the course for you. A course on English and teaching methodology that aims to help university lecturers do their teaching in English, in line with university internationalisation policies. The course structure is the same for all learners and there are opportunities for them to link up with colleagues from universities all over the world who share the same discipline and discourse community, to ask questions and exchange ideas.

Jun 8th 2026
4 Weeks
Analysis of Algorithms (Coursera) Coursera
Princeton University

Analysis of Algorithms (Coursera)

This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings.

Jun 8th 2026
5-12 Weeks
Exploratory Data Analysis (Coursera) Coursera
Johns Hopkins University

Exploratory Data Analysis (Coursera)

This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data.

Jun 8th 2026
4 Weeks
Teaching Mathematics with Technology (MOOC-Ed) MOOC-Ed
The Friday Institute for Educational Innovation

Teaching Mathematics with Technology (MOOC-Ed)

Technology is an essential component of today’s workplace and is a ubiquitous component of our society. Technology can be a useful tool to support students’ engagement in and learning of mathematics. This course allows you to learn, along with colleagues from other schools and around the world, instructional practices that utilize technology to support students’ mathematical learning.

No sessions available
5-12 Weeks