93 results for "statistics"

Statistical Simulation in Python

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

4 hours Probability & Statistics Tushar Shanker Course

Factor Analysis in R

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

4 hours Probability & Statistics Jennifer Brussow Course

Case Studies in Statistical Thinking

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

Analyzing Survey Data in Python

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

Nonlinear Modeling with Generalized Additive Models (GAMs) in R

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

Bayesian Modeling with RJAGS

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

4 hours Probability & Statistics Alicia Johnson Course

Intermediate Network Analysis in Python

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

Business Process Analytics in R

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

Forecasting Product Demand in R

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

Mixture Models in R

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

4 hours Probability & Statistics Victor Medina Course

Bayesian Regression Modeling with rstanarm

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

4 hours Probability & Statistics Jake Thompson Course

Choice Modeling for Marketing in R

Learn to analyze and model customer choice data in R.

4 hours Probability & Statistics DataCamp Content Creator Course

Case Studies: Network Analysis in R

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

4 hours Probability & Statistics Ted Hart Course

Inference for Categorical Data in R

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

4 hours Probability & Statistics Andrew Bray Course

Introduction to Anomaly Detection in R

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

4 hours Probability & Statistics DataCamp Content Creator Course

Probability Puzzles in R

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

4 hours Probability & Statistics Peter Chi Course

Predictive Analytics using Networked Data in R

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

Building Response Models in R

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

4 hours Probability & Statistics DataCamp Content Creator Course

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