#### Statistical Simulation in Python

Learn to solve increasingly complex problems using simulations to generate and analyze data.

93 results
for "statistics"

Learn to solve increasingly complex problems using simulations to generate and analyze data.

4 hours
Probability & Statistics
Tushar Shanker
Course

Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

4 hours
Probability & Statistics
Jennifer Brussow
Course

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

4 hours
Probability & Statistics
Justin Bois
Course

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

4 hours
Probability & Statistics
EbunOluwa Andrew
Course

GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.

4 hours
Probability & Statistics
DataCamp Content Creator
Course

In this course, you'll learn how to implement more advanced Bayesian models using RJAGS.

4 hours
Probability & Statistics
Alicia Johnson
Course

Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

4 hours
Probability & Statistics
Eric Ma
Course

Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.

4 hours
Probability & Statistics
Gert Janssenswillen
Course

Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

4 hours
Probability & Statistics
Aric LaBarr
Course

Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

4 hours
Probability & Statistics
Victor Medina
Course

Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.

4 hours
Probability & Statistics
Jake Thompson
Course

Learn to analyze and model customer choice data in R.

4 hours
Probability & Statistics
DataCamp Content Creator
Course

Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.

4 hours
Probability & Statistics
Ted Hart
Course

In this course you'll learn how to leverage statistical techniques for working with categorical data.

4 hours
Probability & Statistics
Andrew Bray
Course

Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

4 hours
Probability & Statistics
DataCamp Content Creator
Course

Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

4 hours
Probability & Statistics
Peter Chi
Course

Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network

4 hours
Probability & Statistics
Bart Baesens
Course

Learn to build simple models of market response to increase the effectiveness of your marketing plans.

4 hours
Probability & Statistics
DataCamp Content Creator
Course