#### 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.

178 results

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

Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

4 hours
Importing & Cleaning Data
DataCamp
Course

Learn how to produce interactive web maps with ease using leaflet.

4 hours
Data Visualization
Rich Majerus
Course

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

4 hours
Probability & Statistics
Kelly McConville
Course

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

4 hours
Data Visualization
Charlotte Wickham
Course

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

This course will show you how to combine and merge datasets with data.table.

4 hours
Data Manipulation
Scott Ritchie
Course

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

4 hours
Programming
Richie Cotton
Course

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

4 hours
Data Visualization
Nicholas Strayer
Course

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

In this course you'll learn to build dashboards using the shinydashboard package.

4 hours
Reporting
Lucy D’Agostino McGowan
Course

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

5 hours
Applied Finance
Lore Dirick
Course

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

5 hours
AI & Machine Learning
Dmitriy Gorenshteyn
Course

Learn how to use plotly in R to create interactive data visualizations to enhance your data storytelling.

4 hours
Data Visualization
Adam Loy
Course

Create and share your own R Packages!

4 hours
Programming
Aimee Gott
Course

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

4 hours
AI & Machine Learning
Sandro Raabe
Course

Advance you R finance skills to backtest, analyze, and optimize financial portfolios.

5 hours
Applied Finance
Ross Bennett
Course

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

Learn to analyze and model customer choice data in R.

4 hours
Probability & Statistics
DataCamp Content Creator
Course

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

4 hours
Programming
DataCamp Content Creator
Course

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

4 hours
Probability & Statistics
Jennifer Brussow
Course

Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.

4 hours
AI & Machine Learning
Kasey Jones
Course

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

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

4 hours
Data Manipulation
Matt Dowle
Course

Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

5 hours
Applied Finance
Alexander J. McNeil
Course

Learn the bag of words technique for text mining with R.

4 hours
AI & Machine Learning
Ted Kwartler
Course

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

4 hours
Other
John Blischak
Course

Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!

4 hours
Reporting
Dean Attali
Course

Learn how to access financial data from local files as well as from internet sources.

5 hours
Applied Finance
Joshua Ulrich
Course

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

4 hours
Applied Finance
Lore Dirick
Course

Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

4 hours
AI & Machine Learning
Ted Kwartler
Course

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

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

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

5 hours
Applied Finance
Kris Boudt
Course

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

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

4 hours
Programming
Richie Cotton
Course

Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

4 hours
Applied Finance
Katrien Antonio
Course

In this course you'll learn how to create static and interactive dashboards using flexdashboard and shiny.

4 hours
Reporting
Elaine McVey
Course

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

4 hours
Data Manipulation
Emily Robinson
Course

Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

4 hours
AI & Machine Learning
Matt Pickard
Course

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

Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.

4 hours
Data Manipulation
Benja Zehr
Course

Learn to analyze, plot, and model multivariate data.

4 hours
Probability & Statistics
Surajit Ray
Course

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

4 hours
Applied Finance
Clifford Ang
Course

In this course you'll learn how to use data science for several common marketing tasks.

4 hours
AI & Machine Learning
Verena Pflieger
Course

Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.

5 hours
Case Studies
Ben Teusch
Course

Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.

4 hours
Reporting
Kee Seng Png
Course

Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.

4 hours
Data Manipulation
Dr. Chester Ismay
Course

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

4 hours
Case Studies
Lore Dirick
Course

Learn how to visualize big data in R using ggplot2 and trelliscopejs.

4 hours
Data Visualization
Ryan Hafen
Course