Introduction to Statistics Data Camp

Overview

Context

Statistics are all around us, from marketing to sales to healthcare. The ability to collect, analyze, and draw conclusions from data is not only extremely valuable, but it is also becoming commonplace to expect roles that are not traditionally analytical to understand the fundamental concepts of statistics. 

This Introduction to Statistics course offered by Data Camp will equip you with the necessary skills to feel confident in working with analyzing data to draw insights. 

You'll be introduced to common methods used for summarizing and describing data, learn how probability can be applied to commercial scenarios, and discover how experiments are conducted to understand relationships and patterns. 

You'll work with real-world datasets including crime data in London, England, and sales data from an online retail company!The videos contain live transcripts you can reveal by clicking "Show transcript" at the bottom left of the videos. The course glossary can be found on the right in the resources section. 

What you'll learn:

• Assess hypothesis-testing results by interpreting p-values, significance levels, Type I and Type II errors, and correlation coefficients to determine statistical significance and relationship strength between variables.
• Differentiate between measures of center (mean, median, mode) and measures of spread (range, variance, standard deviation, interquartile range) based on data symmetry and presence of outliers
• Evaluate probabilities for independent and dependent events, including conditional scenarios, by applying fundamental probability formulas and the law of large numbers
• Identify numeric and categorical data types and match each with suitable summary visualizations such as histograms, scatter plots, and box plots
• Recognize appropriate applications and parameter impacts of key probability distributions—discrete uniform, binomial, Poisson, continuous uniform, and normal—while applying expected value concepts and the 68-95-99.7 rule