50 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

Intermediate Regression in R

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

4 hours Probability & Statistics Richie Cotton Course

Hypothesis Testing in R

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

4 hours Probability & Statistics Richie Cotton Course

Sampling in R

Master sampling to get more accurate statistics with less data.

4 hours Probability & Statistics Richie Cotton 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

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 in R

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

Experimental Design in R

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

4 hours Probability & Statistics Joanne Xiong 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

Forecasting in R

Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

5 hours Probability & Statistics Rob J. Hyndman Course

Modeling with Data in the Tidyverse

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

4 hours Probability & Statistics Albert Y. Kim 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

Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

4 hours Probability & Statistics JAMES CURLEY 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

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

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

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

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

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

Factor Analysis in R

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

4 hours Probability & Statistics Jennifer Brussow 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

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

A/B Testing in R

Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

4 hours Probability & Statistics Lauryn Burleigh 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

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

Case Study: Analyzing City Time Series Data in R

Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.

4 hours Probability & Statistics Lore Dirick Course

Multivariate Probability Distributions in R

Learn to analyze, plot, and model multivariate data.

4 hours Probability & Statistics Surajit Ray 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

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

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

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

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

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

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

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

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

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

Gender Bias in Graduate Admissions

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

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

How Environmental Factors Influence Wildlife Populations

Explore habitat data using factor and survival analysis tools.

1 hour Probability & Statistics Dr. Chester Ismay Project guided

Assessing the Effectiveness of Medical Treatments

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

45 minutes Probability & Statistics, Data Manipulation... Stanislav Konkin Project guided

Hypothesis Testing with Men's and Women's Soccer Matches

Perform a hypothesis test to determine if more goals are scored in women's soccer matches than men's!

1 hour Probability & Statistics James Chapman Project guided

Technology

Topic