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).
Then make sure to check out the 'Course introduction' and 'What to expect from this course' sections below, so you'll have the essential information you need to decide and to do well in this course!
If you have any questions about the course format, deadlines or grading, you'll probably find the answers here.
You will learn how to use, collect, and then 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.
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.
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.
Ben Sellers has more than 17 years of teaching experience both online and in the traditional classroom.