61 results

#### Introduction to Statistics in R

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

4 hours Probability & Statistics Maggie Matsui Course

#### Introduction to Regression in R

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

4 hours Probability & Statistics Richie Cotton Course

#### Exploratory Data Analysis in R

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

4 hours Probability & Statistics Andrew Bray Course

#### Hypothesis Testing in R

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests.

4 hours Probability & Statistics Richie Cotton Course

#### Intermediate Regression in R

Learn to perform linear and logistic regression with multiple explanatory variables.

4 hours Probability & Statistics Richie Cotton Course

#### Correlation and Regression in R

Learn how to describe relationships between two numerical quantities and characterize these relationships graphically.

4 hours Probability & Statistics Ben Baumer Course

#### Foundations of Probability in R

In this course, you'll learn about the concepts of random variables, distributions, and conditioning.

4 hours Probability & Statistics David Robinson Course

#### Inference for Numerical Data in R

In this course you'll learn techniques for performing statistical inference on numerical data.

4 hours Probability & Statistics Mine Cetinkaya-Rundel Course

#### Multiple and Logistic Regression in R

In this course you'll learn to add multiple variables to linear models and to use logistic regression for classification.

4 hours Probability & Statistics Ben Baumer Course

#### Forecasting in R

Learn how to make predictions about the future using time series forecasting in R.

5 hours Probability & Statistics Rob J. Hyndman Course

#### Time Series Analysis in R

Learn the core techniques necessary to extract meaningful insights from time series data.

4 hours Probability & Statistics David S. Matteson Course

#### Foundations of Inference

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

4 hours Probability & Statistics Jo Hardin Course

#### Hierarchical and Mixed Effects Models in R

In this course you will learn to fit hierarchical models with random effects.

4 hours Probability & Statistics Richard Erickson 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

#### Sampling in R

Master sampling to get more accurate statistics with less data.

4 hours Probability & Statistics Richie Cotton Course

#### Choice Modeling for Marketing in R

Learn to analyze and model customer choice data in R.

4 hours Probability & Statistics Elea McDonnell Feit Course

#### Modeling with Data in the Tidyverse

Explore Linear Regression in a tidy framework.

4 hours Probability & Statistics Albert Y. Kim Course

#### Inference for Linear Regression in R

In this course you'll learn how to perform inference using linear models.

4 hours Probability & Statistics Jo Hardin Course

#### Analyzing Survey Data in R

Learn survey design using common design structures followed by visualizing and analyzing survey results.

4 hours Probability & Statistics Kelly McConville Course

#### Generalized Linear Models in R

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

4 hours Probability & Statistics Richard Erickson Course

#### ARIMA Models in R

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

4 hours Probability & Statistics David Stoffer Course

#### Fundamentals of Bayesian Data Analysis in R

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

4 hours Probability & Statistics Rasmus Bååth Course

#### Introduction to Data in R

Learn the language of data, study types, sampling strategies, and experimental design.

4 hours Probability & Statistics Mine Cetinkaya-Rundel Course

#### Linear Algebra for Data Science in R

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

4 hours Probability & Statistics Eric Eager Course

#### Network Analysis in R

In this course you'll learn to analyze and visualize network data with the igraph package.

4 hours Probability & Statistics JAMES CURLEY Course

#### Survival Analysis in R

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

4 hours Probability & Statistics Heidi Seibold Course

#### Spatial Statistics in R

Learn how to make sense of spatial data and deal with various classes of statistical problems associated with it.

4 hours Probability & Statistics Barry Rowlingson Course

#### Factor Analysis in R

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

4 hours Probability & Statistics Jennifer Brussow Course

#### Spatial Analysis with sf and raster in R

Analyze spatial data using the sf and raster packages.

4 hours Probability & Statistics Zev Ross Course

In this course you'll learn about basic experimental design, a crucial part of any data analysis.

4 hours Probability & Statistics kaelen medeiros Course

#### Introduction to Statistical Modeling in R

This course is designed to get you up to speed with the most important and powerful methodologies in statistics.

4 hours Probability & Statistics Daniel Kaplan Course

#### Designing and Analyzing Clinical Trials in R

In this course you will gain an overview clinical trial designs, determine the numbers of patients needed and conduct statistical analyses.

4 hours Probability & Statistics Tamuno Alfred Course

#### Structural Equation Modeling with lavaan in R

Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.

4 hours Probability & Statistics Erin Buchanan Course

#### Multivariate Probability Distributions in R

Learn to analyze, plot, and model multivariate data.

4 hours Probability & Statistics Surajit Ray Course

#### Nonlinear Modeling in R with GAMs

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

#### 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

#### 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

#### Practicing Statistics Interview Questions in R

In this course, you'll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

4 hours Probability & Statistics Zuzanna Chmielewska Course

#### Survey and Measurement Development in R

Design surveys to get actionable insights via reviewing of survey design structures and visualizing and analyzing survey results.

4 hours Probability & Statistics George Mount Course

#### Network Analysis in the Tidyverse

Learn how to analyze and visualize network data in the R programming language using the tidyverse approach.

4 hours Probability & Statistics Massimo Franceschet 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

#### Introduction to A/B Testing in R

Learn A/B testing: including hypothesis testing, experimental design, and confounding variables.

4 hours Probability & Statistics DataCamp Content Creator 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

#### Intermediate Statistical Modeling in R

In this follow-up course, you will expand your stat modeling skills from the introduction and dive into more advanced concepts.

4 hours Probability & Statistics Daniel Kaplan 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

#### 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

#### 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

#### Data Privacy and Anonymization in R

Publicly release data sets with a differential privacy guarantee.

4 hours Probability & Statistics Claire Bowen 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 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
See 1 More Results

#### Kidney Stones and Simpson's Paradox

Use logistic regression to determine which treatment procedure is more effective for kidney stone removal.

45 minutes Probability & Statistics, Data Visualization... Amy Yang Project guided

#### Health Survey Data Analysis of BMI

Analyze health survey data to determine how BMI is associated with physical activity and smoking.

45 minutes Probability & Statistics, Data Manipulation... Jessica Minnier Project guided

#### Trends in Maryland Crime Rates

Apply hierarchical and mixed-effect models to analyze Maryland crime rates.

45 minutes Probability & Statistics, Data Manipulation... Richard Erickson Project guided

#### Are You Ready for the Zombie Apocalypse?

Use your logistic regression skills to protect people from becoming zombies!

45 minutes Probability & Statistics, Data Manipulation... Jenine Harris Project guided

Analyze admissions data from UC Berkeley and find out if the university was biased against women.

45 minutes Probability & Statistics, Data Manipulation... Joshua Feldman Project guided

#### Going Down to South Park: A Text Analysis

Analyze the dialog and IMDB ratings of 287 South Park episodes. Warning: contains explicit language.

45 minutes Probability & Statistics, Data Manipulation... Patrik Drhlík Project guided

#### A Text Analysis of Trump's Tweets

Apply text mining to Donald Trump's tweets to confirm if he writes the (angrier) Android half.

45 minutes Probability & Statistics, Data Manipulation... David Robinson Project guided

#### Explore 538's Halloween Candy Rankings

Get ready for Halloween by digging into a FiveThirtyEight dataset with all your favorite candy!

60 minutes Probability & Statistics, Data Visualization... Nick Solomon Project guided

#### What Your Heart Rate Is Telling You

Examine the relationship between heart rate and heart disease using multiple logistic regression.

60 minutes Probability & Statistics, Data Manipulation... Amy Yang Project guided

#### Partnering to Protect You from Peril

Examine the network of connections among local health departments in the United States.

60 minutes Probability & Statistics, Data Manipulation... Jenine Harris Project guided