Mathematics and Statistics
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.
Statistics is a crucial field that encompasses the collection, analysis, and interpretation of data. It provides a powerful tool to gain insights into the future and make informed decisions. This course aims to enhance your statistical skills by enabling you to address various questions. For instance, you will learn to determine the probability of customers purchasing your product, forecast the volume of calls your support team will receive, and determine the appropriate range of jeans sizes to cater to 95% of the population. Throughout the course, you will acquire the ability to calculate averages, utilize scatterplots to visualize relationships between numerical variables, and compute correlations. Additionally, you will delve into probability theory, which forms the foundation of statistical reasoning. Moreover, you will gain proficiency in utilizing Python to conduct well-designed studies and draw meaningful conclusions from data.
by DataCamp
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from d...
by DataCamp
Explore the concepts and applications of linear models with python and build models to describe, pre...
by DataCamp
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regres...
by DataCamp
Julia is a new programming language designed to be the ideal language for scientific computing, mach...
by DataCamp
Learn how to leverage statistical techniques using spreadsheets to more effectively work with and ex...
by DataCamp
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regres...
by DataCamp
Learn to work with time-to-event data. The event may be death or finding a job after unemployment. L...
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This course is an introduction to linear algebra, one of the most important mathematical topics unde...
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Learn to perform linear and logistic regression with multiple explanatory variables.
by DataCamp
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R w...