Course Creation at DataCamp

Learn all about how DataCamp builds the best platform to learn and teach data skills.

3 hours Other Kelsey McNeillie Course

Introduction to Snowflake

This course will take you from Snowflake's foundational architecture to mastering advanced SnowSQL techniques.

3 hours Data Warehouse Palak Raina Course

Machine Learning for Time Series Data in Python

This course focuses on feature engineering and machine learning for time series data.

4 hours Machine Learning Chris Holdgraf Course

Unsupervised Learning in R

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

4 hours Machine Learning Hank Roark Course

Introduction to Version Control with Git

This course is an introduction to version control with Git for data scientists.

4 hours Programming DataCamp Content Creator Course

Introduction to dbt

This course introduces dbt for data modeling, transformations, testing, and building documentation.

4 hours Data Engineering Mike Metzger Course

Machine Learning with caret in R

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

4 hours Machine Learning Zachary Deane-Mayer Course

Introduction to Network Analysis in Python

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

4 hours Probability & Statistics Eric Ma 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

Working with Geospatial Data in Python

This course will show you how to integrate spatial data into your Python Data Science workflow.

4 hours Data Manipulation Joris Van den Bossche Course

Monitoring Machine Learning in Python

This course covers everything you need to know to build a basic machine learning monitoring system in Python

3 hours Machine Learning Hakim Elakhrass Course

Python for R Users

This course is for R users who want to get up to speed with Python!

5 hours Programming Daniel Chen Course

Joining Data with data.table in R

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

4 hours Data Manipulation Scott Ritchie Course

Financial Trading in R

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

5 hours Applied Finance Ilya Kipnis Course

Support Vector Machines in R

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

4 hours Machine Learning Kailash Awati Course

Linear Classifiers in Python

In this course you will learn the details of linear classifiers like logistic regression and SVM.

4 hours Machine Learning Mike Gelbart Course

Machine Learning with Tree-Based Models in Python

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

5 hours Machine Learning Elie Kawerk Course

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 data.table.

3 hours Data Preparation Filip Schouwenaars Course

Cluster Analysis in Python

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

4 hours Machine Learning Shaumik Daityari Course

Manipulating Time Series Data in Python

In this course you'll learn the basics of working with time series data.

4 hours Data Manipulation Stefan Jansen Course

Supervised Learning in R: Classification

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

4 hours Machine Learning Brett Lantz Course

Introduction to Data Pipelines

This introductory course will help you hone the skills to build effective, performant, and reliable data pipelines.

4 hours Data Engineering Jake Roach Course

Intermediate SQL Server

In this course, you will use T-SQL, the flavor of SQL used in Microsoft's SQL Server for data analysis.

4 hours Programming Ginger Grant Course

Introduction to Data Culture

This introductory course on data culture provides an essential understanding of data culture concepts and their practical applications.

1 hour Data Literacy Joanne Xiong Course

Supervised Learning in R: Regression

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

4 hours Machine Learning John Mount 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

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

Importing and Managing Financial Data in Python

In this course, you'll learn how to import and manage financial data in Python using various tools and sources.

5 hours Applied Finance Stefan Jansen 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

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

Introduction to Databases in Python

In this course, you'll learn the basics of relational databases and how to interact with them.

4 hours Data Manipulation Jason Myers Course

Improving Query Performance in SQL Server

In this course, students will learn to write queries that are both efficient and easy to read and understand.

4 hours Programming Dean Smith 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

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

Introduction to Predictive Analytics in Python

In this course you'll learn to use and present logistic regression models for making predictions.

4 hours Machine Learning Nele Verbiest Course

MLOps Deployment and Life Cycling

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

4 hours Machine Learning Nemanja Radojković Course

Analyzing Social Media Data in Python

In this course, you'll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

4 hours Data Manipulation Alex Hanna Course

Creating Dashboards with shinydashboard

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

4 hours Reporting Lucy D’Agostino McGowan Course

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.

4 hours Other Chris Hui Course

Building Dashboards with flexdashboard

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

4 hours Reporting Elaine McVey 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

HR Analytics: Predicting Employee Churn in Python

In this course you'll learn how to apply machine learning in the HR domain.

4 hours Machine Learning Hrant Davtyan Course

Machine Learning for Marketing Analytics in R

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

4 hours Machine Learning Verena Pflieger 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

NoSQL Concepts

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

2 hours Data Engineering Miriam Antona Course

Calculations in Tableau

In this interactive course, you’ll learn how to use functions for your Tableau calculations and when you should use them!

6 hours Data Visualization Maarten Van den Broeck Course

Time Series Analysis in Python

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

4 hours Probability & Statistics Rob Reider Course

Introduction to Data Warehousing

This introductory and conceptual course will help you understand the fundamentals of data warehousing.

4 hours Data Warehouse Aaren Stubberfield 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

Data Preparation in Power BI

In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.

3 hours Data Preparation Maarten Van den Broeck Course