Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.5+
• 410

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

• IntermediateSkill Level
• 4.3+
• 399

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

• BasicSkill Level
• 4.5+
• 365

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

• IntermediateSkill Level
• 4.4+
• 358

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

• AdvancedSkill Level
• 4.3+
• 344

In this course youll learn how to perform inference using linear models.

• IntermediateSkill Level
• 4.5+
• 339

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

• AdvancedSkill Level
• 4.6+
• 332

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

• BasicSkill Level
• 4.8+
• 323

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

• IntermediateSkill Level
• 4.6+
• 317

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

• IntermediateSkill Level
• 4.5+
• 294

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

• IntermediateSkill Level
• 4.7+
• 271

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

• IntermediateSkill Level
• 4.6+
• 269

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!

• IntermediateSkill Level
• 4.3+
• 265

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

• AdvancedSkill Level
• 4.6+
• 254

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

• IntermediateSkill Level
• 4.7+
• 239

Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

• IntermediateSkill Level
• 4.6+
• 229

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

• AdvancedSkill Level
• 4.7+
• 199

Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

• AdvancedSkill Level
• 4.5+
• 182

Learn to use the Bioconductor package limma for differential gene expression analysis.

• AdvancedSkill Level
• 4.3+
• 168

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

• AdvancedSkill Level
• 4.5+
• 164

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

• AdvancedSkill Level
• 4.8+
• 149

Use survival analysis to work with time-to-event data and predict survival time.

• IntermediateSkill Level
• 4.8+
• 144

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

• AdvancedSkill Level
• 4.5+
• 144

In this course youll learn techniques for performing statistical inference on numerical data.

• AdvancedSkill Level
• 4.6+
• 141

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

• AdvancedSkill Level
• 4.5+
• 133

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

• IntermediateSkill Level
• 4.8+
• 128

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

• AdvancedSkill Level
• 4.5+
• 125

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

• AdvancedSkill Level
• 4.3+
• 123

Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

• AdvancedSkill Level
• 4.4+
• 111

In this course youll learn how to leverage statistical techniques for working with categorical data.

• IntermediateSkill Level
• 4.6+
• 107

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