About the content
Statistics is an important field of math that is used to analyze, interpret, and predict outcomes from data. Descriptive statistics will teach you the basic concepts used to describe data. This is a great beginner course for those interested in Data Science, Economics, Psychology, Machine Learning, Sports analytics and just about any other field.
Lesson 1 : Intro to Research MethodsYou will be introduced to several statistical study methods and learn the positives and negatives of each.
Lesson 2 : Visualizing DataYou will learn how to take your data and display it to the world. You will learn to create and interpret histograms, bar charts, and frequency plots.
Lesson 3 : Central TendencyIn this lesson you will learn to compute and interpret the 3 measures of center for distributions: the mean, median, and mode.
Lesson 4 : VariabilityYou will learn how to quantify the spread of data using the range and standard deviation. You will also learn how to identify outliers in data sets using the concept of the interquartile range.
Lesson 5 : StandardizingYou will learn how to convert distributions into the standard normal distribution using the Z-score. You will also learn how to compute proportions using standardized distributions.
Lesson 6 : Normal DistributionYou will learn how to use normalized distributions to compute probabilities. You will also learn how to use the Z-table to look up the proportions of observations above, below, or in between values.
Lesson 7 : Sampling DistributionsYou will learn how to apply the concepts of probability and normalization to sample data sets.
- Sean Laraway - Sean Laraway has taught at San Jose State University since 2004. He completed a post-doctoral fellowship in Psychopharmacology. He has taught statistics at the undergraduate and graduate levels since 1998. He earned his MA and PhD in Behavior Analysis from Western Michigan University in 2003.
- Ronald Rogers - Ron Rogers has been a professor of psychology at San Jose State University since 1999. Dr. Rogers has developed and taught statistics and research methods courses at both the undergraduate and graduate level. He earned his M.A. and Ph.D. in Behavioral Neuroscience from Rutgers University in 1995.
Udacity is a for-profit educational organization founded by Sebastian Thrun, David Stavens, and Mike Sokolsky offering massive open online courses (MOOCs). According to Thrun, the origin of the name Udacity comes from the company's desire to be "audacious for you, the student". While it originally focused on offering university-style courses, it now focuses more on vocational courses for professionals.