Introduction to Statistics
Course Syllabus
Course Description
In today’s world, there is no shortage of data. But the quantity of information means
nothing without the ability to understand it.
This course covers basic statistical concepts and methods that are essential for learning
from data and communicating insights. By the end of the course, you will be able to perform
exploratory data analysis, understand the key principles of sampling, and select appropriate
tests of significance for multiple contexts. You will gain the foundational skills that prepare
you to pursue more advanced topics in statistical thinking, statistical programming,
machine learning and more.
This course will be delivered using the Coursera platform.
Instructors
Guenther Walther, PhD
Professor of Statistics, Stanford
University
Guest Presenters
Andrew Radin
CEO and Co-Founder, twoXAR
Course Topics
Module 1 – Introduction and Descriptive Statistics for Exploring Data
This module provides an overview of the course and a review of the main
tools used in descriptive statistics to visualize information.
Approximate video length: 28 minutes
Module Exercises:
• Quiz (Estimated time to complete: 26 minutes)
Page | 1
Copyright © 2020 Stanford University. ALL RIGHTS RESERVED.
, Introduction to Statistics
Module 2 – Producing Data and Sampling
In this module, you will look at the main concepts for sampling and
designing experiments. You will learn about curious pitfalls and how
to evaluate the effectiveness of such experiments.
Approximate video length: 14 minutes
Module Exercises:
• Quiz (Estimated time to complete: 2 minutes)
Module 3 – Probability
In this module, you will learn about the definition of probability and the
essential rules of probability that you will need for solving both simple
and complex challenges. You will also learn about examples of how
simple rules of probability are used to create solutions for real-life,
complex situations.
Approximate video length: 27 minutes
Module Exercises:
• Quiz (Estimated time to complete: 12 minutes)
Module 4 – Normal Approximation and Binomial Distribution
This module covers the empirical rule and normal approximation
for data, a technique that is used in many statistical procedures.
You will also learn about the binomial distribution and the basics of
random variables.
Approximate video length: 27 minutes
Module Exercises:
• Quiz (Estimated time to complete: 12 minutes)
Module 5 – Sampling Distributions and the Central Limit Theorem
In this module, you will learn about the Law of Large Numbers and the
Central Limit Theorem. You will also learn how to differentiate between
the different types of histograms present in statistical analysis.
Approximate video length: 23 minutes
Module Exercises:
• Quiz (Estimated time to complete: 18 minutes)
Page | 2
Copyright © 2020 Stanford University. ALL RIGHTS RESERVED.
Course Syllabus
Course Description
In today’s world, there is no shortage of data. But the quantity of information means
nothing without the ability to understand it.
This course covers basic statistical concepts and methods that are essential for learning
from data and communicating insights. By the end of the course, you will be able to perform
exploratory data analysis, understand the key principles of sampling, and select appropriate
tests of significance for multiple contexts. You will gain the foundational skills that prepare
you to pursue more advanced topics in statistical thinking, statistical programming,
machine learning and more.
This course will be delivered using the Coursera platform.
Instructors
Guenther Walther, PhD
Professor of Statistics, Stanford
University
Guest Presenters
Andrew Radin
CEO and Co-Founder, twoXAR
Course Topics
Module 1 – Introduction and Descriptive Statistics for Exploring Data
This module provides an overview of the course and a review of the main
tools used in descriptive statistics to visualize information.
Approximate video length: 28 minutes
Module Exercises:
• Quiz (Estimated time to complete: 26 minutes)
Page | 1
Copyright © 2020 Stanford University. ALL RIGHTS RESERVED.
, Introduction to Statistics
Module 2 – Producing Data and Sampling
In this module, you will look at the main concepts for sampling and
designing experiments. You will learn about curious pitfalls and how
to evaluate the effectiveness of such experiments.
Approximate video length: 14 minutes
Module Exercises:
• Quiz (Estimated time to complete: 2 minutes)
Module 3 – Probability
In this module, you will learn about the definition of probability and the
essential rules of probability that you will need for solving both simple
and complex challenges. You will also learn about examples of how
simple rules of probability are used to create solutions for real-life,
complex situations.
Approximate video length: 27 minutes
Module Exercises:
• Quiz (Estimated time to complete: 12 minutes)
Module 4 – Normal Approximation and Binomial Distribution
This module covers the empirical rule and normal approximation
for data, a technique that is used in many statistical procedures.
You will also learn about the binomial distribution and the basics of
random variables.
Approximate video length: 27 minutes
Module Exercises:
• Quiz (Estimated time to complete: 12 minutes)
Module 5 – Sampling Distributions and the Central Limit Theorem
In this module, you will learn about the Law of Large Numbers and the
Central Limit Theorem. You will also learn how to differentiate between
the different types of histograms present in statistical analysis.
Approximate video length: 23 minutes
Module Exercises:
• Quiz (Estimated time to complete: 18 minutes)
Page | 2
Copyright © 2020 Stanford University. ALL RIGHTS RESERVED.
