Certificate in Introduction to Statistics Online Course

Start Now To Learn Introduction to Statistics

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? This is the course 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'll explore how to use data and apply statistics to real-life problems and situations.

We'll discuss data and data collection practices. You'll learn to summarize and describe data with charts, numbers, and graphs. You'll even calculate and interpret probabilities and then see how they apply to decision making when you're faced with uncertainty.

You'll learn ways to visualize and measure relationships in data, and we'll also use data to make forecasts and predictions. You'll grasp the basics of statistical inference and discover what it means for a result to be statistically significant. Throughout the course, we'll use real data and a variety of examples drawn from business and industry, health care and medicine, sports, education, politics, news events, and the social sciences.

Don't worry if detailed calculations are not your thing! We'll use a variety of free online resources to aid with calculations. By the end, you'll be able to successfully apply and interpret basic statistical procedures.

Course Fast Facts:

• Learn Introduction to Statistics Online Course in only 6 weeks
• Approximately only 2 to 4 hours per week of study is required
• This course is delivered 100% on-line and is accessible 24/7 from any computer or smartphone
• Instructors lead each course and you will be able to interact with them and ask questions
• You can study from home or at work at your own pace in your own time
• You can download printer friendly course material or save for viewing off line
• You will be awarded a certificate at completion of this course

How is the Introduction to Statistics Online Course studied?

Upon enrolment an automated welcome email will be sent to you (please check your junk email inbox if not received as this is an automated email), in order for you to access your online course, which is Available 24/7 on any computer or smart mobile device. New courses start every month to ensure that we have the correct ratio of students to tutors available, please ensure you select a starting date when you go through our shopping cart, at checkout. The course is easy to follow and understand.

Course Structure

Through well-crafted lessons, expert online instruction and interaction with your tutor, participants in these courses gain valuable knowledge at their convenience. They have the flexibility to study at their own pace combined with enough structure and support to complete the course. And they can access the classroom 24/7 from anywhere with an Internet connection.

New sessions of each course run every month. They last six weeks, with two new lessons being released weekly (for a total of 12). The courses are entirely Web-based with comprehensive lessons, quizzes, and assignments. A dedicated professional instructor facilitates every course; pacing learners, answering questions, giving feedback, and facilitating discussions.

Recognition & Accreditation

All students who complete the course receive a certificate of completion with a passing score (for the online assessment) and will be issued a certificate via email.

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There are 12 units of study

What Is Statistics, Anyway?
What's statistics really about? How do you collect reliable data and use it to make informed decisions? In Lesson 1, you'll learn some of the concepts and terms we'll use throughout the course. You'll also find out how statistics affects events in the news and in your everyday life.

Quantitative Data: From Averages to z-Scores
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'll learn to summarize data and describe its center along with its variability. As you learn to calculate mean, median, range, and standard deviation, I'll provide examples from different workplaces. You'll see how statistics plays a part in medicine, human resources, education, politics, finance, and marketing.

Displaying Quantitative Data: Dots, Plots, and Histograms
Is there an easier way of understanding data than peering at column after column of numbers? Yes! In Lesson 3, you'll 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. Our examples in this lesson come from medicine, mortgage lending, classrooms, biologists' field notes, and the aisles of your local grocery store.

Displaying Qualitative Data: Percentages, Charts, and Graphs
"How much satisfaction do you get from your friendships?" "Would you vote for a qualified woman for president?" "Which mountain in the Himalayas is most dangerous to climb?" In Lesson 4, you'll learn to summarize and display qualitative data from questions like these. We'll focus on charts and tables, and along the way you'll see examples from business, government, and medicine.

Is There a Link? Scatterplots and Correlation
Is there a link between the poverty rate and the crime rate? Is your score on a math exam related to your anxiety level? In Lesson 5, we'll look at relationships between two quantitative variables. You'll learn to make scatterplots and describe what you see. You'll also use correlation to measure the strength of a particular link.

Linear Regression: How Can We Predict the Future?
Can we predict the next world-record time in the mile run? How can we forecast CO2 levels in the atmosphere? In Lesson 6, we'll go beyond describing and measuring association between variables. You'll use linear regression to find an equation that models the data. Then you'll use the equation to make predictions.

What's the Chance of That? Probability Concepts
What's the chance you'll have a coin come up "heads" five times in a row? What about drawing four aces from a deck of cards or picking the winning lottery numbers? In Lesson 7, we'll study the basics of probability. You'll learn the rules that govern probability and see how to apply them in a variety of situations.

Probability Models: What's Normal?
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? In Lesson 8, we'll talk about probability models and expected value. Our focus will be the most common probability model in statistics: the normal model. You'll see this bell-shaped distribution in a variety of settings, and you'll learn to use it to estimate probabilities.

The Key to Inference: Sampling Distributions
How can we move beyond the sample at hand to make predictions and draw conclusions about the population? In Lesson 9, you'll discover the key that lets you make inferences about the population. You'll see the most important result in all of statistics—the central limit theorem—and you'll learn why the normal model plays such an important role in statistics. You'll also find out how to use data and probability to evaluate a claim.

How Certain Are We? Confidence Intervals for Proportions
"The margin of error for this poll is plus or minus 3%." What does that mean, anyway? In Lesson 10, we'll begin our journey into statistical inference by focusing on confidence intervals for proportions. You'll learn to calculate the margin of error and use it to build an interval for estimating a population proportion. You'll also see how to estimate the sample size you'd need for a survey.

Trial by Data: Testing Hypotheses About Proportions
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'll learn to answer questions such as these by testing an appropriate hypothesis using proportions. You'll find out what steps make up a hypothesis test and how you can interpret the results, make inferences, and arrive at informed decisions.

Inference About Means
How do you test hypotheses about means? For example, how can you use a confidence interval to estimate the average number of hours Americans use the Internet each week? In our last lesson together, you'll get an introduction to inference for means. You'll learn to calculate and interpret confidence intervals and hypothesis tests for a mean, and you'll see how to analyze data from a paired experiment. And while we're at it, you'll find out what the history of statistics has to do with the quality of beer in Ireland.

Upon course completion, students will receive a certificate that will serve as proof of their study in this field.

Entry requirements

Students must have basic literacy and numeracy skills.

Minimum education

Open entry. Previous schooling and academic achievements are not required for entry into this course.

Computer requirements

Students will need access to a computer and the internet.

Minimum specifications for the computer are:

Windows:

Microsoft Windows XP, or later
MAC/iOS

OSX/iOS 6 or later
All systems

Internet bandwidth of 1Mb or faster
Flash player or a browser with HTML5 video capabilities(Currently Internet Explorer 9, Firefox, Chrome, Safari)
Students will also need access the following applications:

Adobe Acrobat Reader

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Certificate of completion

Digital certificate - Included