Jernej Jevšenak

Introduction to Python

Master the basics of data analysis in Python. Expand your skillset by learning scientific computi...

Introduction to R

Master the basics of data analysis by manipulating common data structures such as vectors, matric...

Intermediate Python

Level up your data science skills by creating visualizations using Matplotlib and manipulating Da...

Intermediate R

Continue your journey to becoming an R ninja by learning about conditional statements, loops, and...

Introduction to the Tidyverse

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful...

Data Manipulation in R with dplyr

Master techniques for data manipulation using the select, mutate, filter, arrange, and summarise ...

Writing Functions in R

Learn the fundamentals of writing functions in R so you can make your code more readable and auto...

Correlation and Regression in R

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

Introduction to Importing Data in R

In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and ...

Supervised Learning in R: Classification

In this course you will learn the basics of machine learning for classification.

Data Visualization with ggplot2 (Part 1)

Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the g...

Reporting with R Markdown

Learn to create interactive analyses and automated reports with R Markdown.

Cleaning Data in R

Learn to explore your data so you can properly clean and prepare it for analysis.

Introduction to Machine Learning

Learn to train and assess models performing common machine learning tasks such as classification ...

Joining Data in R with dplyr

This course will show you how to combine data sets with dplyr's two table verbs.

Data Visualization in R

This course provides a comprehensive introduction to working with base graphics in R.

Exploratory Data Analysis in R

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

Building Web Applications in R with Shiny

Build interactive web apps straight from R with shiny!

Multiple and Logistic Regression in R

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

Introduction to Data in R

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

Intermediate R: Practice

Strengthen your knowledge of the topics you learned in Intermediate R with a ton of new and fun e...

Writing Efficient R Code

Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of para...

Data Analysis in R, the data.table Way

Master core concepts in data manipulation such as subsetting, updating, indexing and joining your...

Working with Dates and Times in R

Learn the essentials of parsing, manipulating and computing with dates and times in R.

Working with the RStudio IDE (Part 1)

Learn the basics of the important features of the RStudio IDE.

Case Study: Exploratory Data Analysis in R

Use data manipulation and visualization skills to explore the historical voting of the United Nat...

Time Series Analysis in R

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

Foundations of Probability in R

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

Generalized Linear Models in R

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

Intermediate Importing Data in R

Parse data in any format. Whether it's flat files, statistical software, databases, or data right...

Introduction to Statistical Modeling in R

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

Machine Learning with caret in R

This course teaches the big ideas in machine learning like how to build and evaluate predictive m...

Data Visualization with ggplot2 (Part 2)

Take your data visualization skills to the next level with coordinates, facets, themes, and best ...

Forecasting in R

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

Manipulating Time Series Data with xts and zoo ...

The xts and zoo packages make the task of managing and manipulating ordered observations fast and...

Supervised Learning in R: Regression

In this course you will learn how to predict future events using linear regression, generalized a...

Beginning Bayes in R

This course provides a basic introduction to Bayesian statistics in R.

Tree-Based Models in R

In this course, you'll learn how to use tree-based models and ensembles for regression and classi...

Unsupervised Learning in R

This course provides an intro to clustering and dimensionality reduction in R from a machine lear...

Visualizing Geospatial Data in R

Learn to read, explore, and manipulate spatial data then use your skills to create informative ma...

Foundations of Inference

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

ARIMA Models in R

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time serie...

Hierarchical and Mixed Effects Models in R

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

R for SAS, SPSS and STATA Users

Learn to translate your knowledge of SAS, SPSS, or Stata into R using the same statistics techniq...

Working with the RStudio IDE (Part 2)

Further your knowledge of RStudio and learn how to integrate Git, LaTeX, and Shiny

Modeling with Data in the Tidyverse

Explore Linear Regression in a tidy framework.

Spatial Analysis with sf and raster in R

Analyze spatial data using the sf and raster packages.

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 d...

Inference for Linear Regression in R

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

Nonlinear Modeling in R with GAMs

GAMs model relationships in data as nonlinear functions that are highly adaptable to different ty...

Credit Risk Modeling in R

Apply statistical modeling in a real-life setting using logistic regression and decision trees to...

Working with Web Data in R

Learn how to efficiently import data from the web into R.

Data Visualization with ggplot2 (Part 3)

This course covers some advanced topics including strategies for handling large data sets and spe...

Machine Learning in the Tidyverse

Leverage the tools in the tidyverse to generate, explore and evaluate machine learning models.

Data Visualization in R with ggvis

Learn to create interactive graphs to display distributions, relationships, model fits, and more ...

Introduction to Portfolio Analysis in R

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

Support Vector Machines in R

This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

Visualizing Time Series Data in R

Learn how to visualize time series in R, then practice with a stock-picking case study.

Communicating with Data in the Tidyverse

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled re...

Importing & Cleaning Data in R: Case Studies

In this series of four case studies, you'll revisit key concepts from our courses on importing an...

Dimensionality Reduction in R

Develop your intuition for when to reduce dimensionality in your data, and master the fundamental...

Introduction to Spark with sparklyr in R

Learn how to analyze huge datasets using Apache Spark and R using the sparklyr package.

Case Studies: Manipulating Time Series Data in R

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

Foundations of Functional Programming with purrr

Learn to easily summarize and manipulate lists using the purrr package.

Intermediate Statistical Modeling in R

In this follow-up course, you will expand your stat modeling skills from the introduction and div...

Importing Data Into R

Learn how to parse data in any format. Whether it's flat files, statistics software, databases, o...

Spatial Statistics in R

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

Case Study: Exploring Baseball Pitching Data in R

Use a rich baseball dataset from the MLB's Statcast system to practice your data exploration skills.

Object-Oriented Programming with S3 and R6 in R

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.

Bayesian Modeling with RJAGS

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

Mixture Models in R

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

Intro to Statistics with R: Introduction

A friendly introduction to fundamental concepts in statistics in R.

Intro to Statistics with R: Student's T-test

If you want to have a solid basic foundation in statistics, it is essential to understand the con...

Intro to Statistics with R: Analysis of Varianc...

Analysis of Variance (ANOVA) is probably one of the most popular and commonly used statistical pr...

Intro to Statistics with R: Repeated measures A...

This course focuses on within-groups comparisons and repeated measures design. With the help of a...

Intro to Statistics with R: Correlation and Lin...

If you have ever taken a math or statistics class, you’ve probably heard the old adage "Correlati...

Intro to Statistics with R: Multiple Regression

Multiple regression is a powerful statistical technique, and here you will discover why and how t...

Intro to Statistics with R: Moderation and Medi...

Moderation and mediation sound alike, but in reality they are quite different. This course will g...

Kaggle R Tutorial on Machine Learning

Always wanted to compete in a Kaggle machine learning competition but not sure you have the right...

R, Yelp and the Search for Good Indian Food

Are all Yelp restaurant reviews created equal? Should we place greater trust in reviews made by p...