Introduction to Statistics

Introduction to Statistics

Improve your understanding of data and learn how to develop graphs and charts. With real-world applications and easy-to-understand examples drawn from business, health care, sports, education, and politics, this course provides the skills and knowledge you need to start analyzing data.
6 Weeks Access / 24 Course Hrs
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Do you need an introduction to statistics or maybe just a refresher? Do you want to improve your understanding of data and use it to make decisions? If you're looking for help with statistics, this online statistics course is for you!

With easy-to-understand examples combined with real-world applications, this course provides you with the skills and knowledge you need to start analyzing data. You will learn how to use, collect, and apply data to real-life problems with charts, numbers, and graphs.

Beyond that, you will learn ways to visualize and measure relationships to make forecasts and predictions. Throughout the course, you will use real data and a variety of examples drawn from business and industry, health care, sports, education, politics, and the social sciences.

Enrollment Options:
6 Weeks Access Course Code: sta
Start Dates*Aug 12 | Sep 16 | Oct 14 | Nov 11
*Choose start date in cart
$2,500.00 HKD


What do you know about statistics? How do you collect reliable data and use it to make informed decisions? In this lesson, you will learn some of the concepts and terms needed throughout the course. You will also find out how statistics affects events in the news and in your everyday life.

Once you have a set of data, how can you summarize and interpret it to figure out what it really means? In Lesson 2, you will learn to summarize data and describe its center along with its variability. You will see how statistics plays a part in medicine, human resources, education, politics, finance, and marketing.

Is there an easier way of understanding data than peering at column after column of numbers? Yes. In Lesson 3, you will see quantitative data displayed in dot plots, histograms, and many other forms. Knowing how to read and construct these graphs will help you see patterns and spot unusual values in data.

"How much satisfaction do you get from your friendships?" "Which mountain is most dangerous to climb?" This lesson focuses on summarizing and displaying qualitative data from questions like these. You will use charts and tables to analyze real world examples in business, medicine, and more.

Is there a link between the poverty rate and the crime rate? Is your score on a math exam related to your anxiety level? This lesson looks at relationships between two quantitative variables. You will learn to make scatterplots and describe what you see.

Can you predict the next world-record time in the mile run? How can you forecast CO2 levels in the atmosphere? This lesson dives into describing and measuring association between variables. You will use linear regression to find an equation that models the data and use the equation to make predictions.

What's the chance you will have a coin come up "heads" five times in a row? Lesson 7 explores the basics of probability. You will learn the rules that govern probability and see how to apply them in a variety of situations.

What should you expect to happen in a game involving chance? How can you estimate the probability that a healthy baby will be born underweight? This lesson focuses on probability models and expected value. You will learn about the most common probability model in statistics: the normal model.

How do you move beyond the sample at hand to make predictions and draw conclusions about the population? In Lesson 9, you will discover the key that lets you make inferences about the population. You will see the most important result in all of statistics—the central limit theorem.

"The margin of error for this poll is plus or minus 3%." What does that mean, anyway? This lesson introduces statistical inference and focuses on confidence intervals for proportions. You will learn to calculate the margin of error and use it to build an interval for estimating a population proportion.

Is there really a home team advantage in sports? Did that television ad your company bought result in increased awareness of your product? In Lesson 11, you will learn to answer questions such as these by testing an appropriate hypothesis using proportions.

How do you test hypotheses about means? For example, can you use a confidence interval to estimate the average number of hours Americans use the Internet each week? Your last lesson introduces inference for means. You will learn to calculate and interpret confidence intervals and hypothesis tests for a mean. And you will find out what the history of statistics has to do with the quality of beer in Ireland.



Hardware Requirements:

  • This course can be taken on either a PC or Mac.

Software Requirements:

  • PC: Windows XP or later.
  • Mac: OS X Snow Leopard 10.6 or later.
  • Browser: The latest version of Google Chrome or Mozilla Firefox are preferred. Microsoft Edge and Safari are also compatible.
  • Adobe Flash Player. Click here to download the Flash Player.
  • Adobe Acrobat Reader. Click here to download the Acrobat Reader.
  • Software must be installed and fully operational before the course begins.


  • Email capabilities and access to a personal email account.


There are no prerequisites to take this course.

Instructional Material Requirements:

The instructional materials required for this course are included in enrollment and will be available online.


Ben Sellers has more than 17 years of teaching experience both online and in the traditional classroom. He has taught college students, working professionals, adult learners, and K-12 students. He has also taught a wide variety of students in the medical field, including lab technicians, nurses, pharmacists, and aspiring physicians. Sellers holds undergraduate and graduate degrees in the mathematical sciences and has worked as a mathematical and statistical consultant.


Thank you for teaching this course on statistics. Your lessons were easy to follow and understand. I have learned what I expected to learn from this course and would definitely recommend you to others who would like to either learn or improve their comprehension of statistics.

The teaching style of the instructor is very practical and elegant...All the examples are real, not just a bunch of tables or numbers. It was a delight to quickly read the lessons and not have questions afterwards.

I was taking this class to prep for a Healthcare Stats class. I thought it would be a good introduction and it provided me with much of the terminology and game plan. Thank you for your hard work.

The instructor was great - very responsive and helpful. The course was designed well. I learned a lot and the quizzes prepared me well for the final exam.

I think the course is really good and it is the first time in my life that I was able to understand a standard deviation.

I enjoyed this class very much and the interaction with other classmates. I wish there was an online advanced statistics course to continue.

Thanks for a very good learning experience. I would never have imagined I could understand statistics, and yet you made it very easy. I appreciate all the resources available in case I need to revisit and refresh my memory in the future.

Thank you, Ben! Your course was enjoyable. The information will be very helpful for my job..Thanks also for your questions and comments in the discussion areas, which were very helpful.

Thank you for this interesting, useful and beneficial course. Your explanations of mathematical and statistical concepts are clear, concise, and well-illustrated with examples throughout the Lessons...The examples and assignment problems you present are interesting, practical and represent a diverse variety of matters and issues from all aspects of everyday life. Truly, your course exemplifies how an understanding of and the correct use of statistics are relevant to and can enhance our daily lives. Thank you for using your time, talents, expertise and experience to develop, implement, and offer this course in the online format. It has been an exemplary learning experience.