Fundamentals of Statistics for Data Science Training

This hands-on introduction to statistics for data science gives you the tools required to make sense of data and draw *valid* conclusions. The focus of this course is on statistical thinking. Concepts will be introduced intuitively before being expanded formally. You will learn how to think in terms of distributions---not single point estimates. Statistical tools will be introduced in the context of how to use them to gain insight and solve problems. You will also learn how to use the powerful, industry-standard R environment to do the number-crunching in this statistics for data science course. You Will Learn How To: Visualize data Draw conclusions about the features and quality of data sets Summarize your data Think of numbers as distributions Use the power of computers to generate distributions for any problem Determine correlation---and move from there to demonstrating causation Make valid statistic inferences using a range of hypothesis tests Obtain accurate random samples Use regression to predict the value of one variable based on others Design and execute your own statistical projects Requirements There are no formal prerequisites for attending this course.