- All
- Favorite
- Popular
- Most rated
Business Process Analytics in R
Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.
Programming with dplyr
Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.
Intermediate Portfolio Analysis in R
Advance you R finance skills to backtest, analyze, and optimize financial portfolios.
Case Study: Inventory Analysis in Tableau
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.
Bond Valuation and Analysis in Python
Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.
Case Study: Analyzing Healthcare Data in Tableau
Practice Tableau with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
Foundations of Functional Programming with purrr
Learn to easily summarize and manipulate lists using the purrr package.
Case Studies in Statistical Thinking
Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.
HR Analytics: Predicting Employee Churn in Python
In this course you'll learn how to apply machine learning in the HR domain.
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.
Bayesian Regression Modeling with rstanarm
Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.
Course Creation at DataCamp
Learn all about how DataCamp builds the best platform to learn and teach data skills.
Time Series Analysis in Tableau
In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.
Intermediate Network Analysis in Python
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.
ChIP-seq with Bioconductor in R
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.
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.
Bond Valuation and Analysis in R
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.
Conquering Data Bias
Unlock your data's potential by learning to detect and mitigate bias for precise analysis and reliable models.
Error and Uncertainty in Google Sheets
Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.
Case Study: Set Up a Book Recommendation App in Azure
Learn to set up a secure, efficient book recommendation app in Azure in this hands-on case study.
Case Study: Ecommerce Analysis in Tableau
In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, you'll investigate data from an online pet supply company.
Inference for Categorical Data in R
In this course you'll learn how to leverage statistical techniques for working with categorical data.
Analyzing IoT Data in Python
Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.
R For SAS Users
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.