Mathematics and Statistics
In this course, you'll learn about the concepts of random variables, distributions, and conditioning.
Probability is a field of study that focuses on making accurate predictions regarding random events. This course aims to provide a comprehensive understanding of key concepts such as random variables, distributions, and conditioning, using the relatable example of coin flips. Additionally, you will develop a strong intuition for solving probability problems by employing random simulation techniques. These fundamental principles will not only enhance your comprehension of statistical inference but also enable you to draw meaningful conclusions from data.
by DataCamp
In this course, you'll learn about the concepts of random variables, distributions, and conditioning...
by DataCamp
Learn fundamental probability concepts like random variables, mean and variance, probability distrib...
by DataCamp
Learn strategies for answering probability questions in R by solving a variety of probability puzzle...
by DataCamp
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from d...
by DataCamp
Learn to solve increasingly complex problems using simulations to generate and analyze data.
by DataCamp
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataF...
by DataCamp
Learn to easily summarize and manipulate lists using the purrr package.
by DataCamp
Get hands-on experience making sound conclusions based on data in this four-hour course on statistic...
by DataCamp
Learn how to draw conclusions about a population from a sample of data via a process known as statis...
by DataCamp
Build the foundation you need to think statistically and to speak the language of your data.