*Course* Creation at DataCamp

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

395 results
for "course"

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

3 hours
Other
Kelsey McNeillie
Course

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

4 hours
Programming
DataCamp Content Creator
Course

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

4 hours
Machine Learning
Chris Holdgraf
Course

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

4 hours
Machine Learning
Hank Roark
Course

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

4 hours
Data Manipulation
Scott Ritchie
Course

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

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

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

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

5 hours
Programming
Daniel Chen
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

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

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

4 hours
Probability & Statistics
Daniel Kaplan
Course

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

4 hours
Machine Learning
Kailash Awati
Course

This *course* covers in detail the tools available in R for parallel computing.

4 hours
Programming
Hana Sevcikova
Course

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

3 hours
Importing & Cleaning Data
Filip Schouwenaars
Course

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

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

4 hours
Machine Learning
Brett Lantz
Course

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

4 hours
Data Manipulation
Stefan Jansen
Course

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

4 hours
Machine Learning
Mike Gelbart
Course

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

In this *course* you'll learn how to get your cleaned data ready for modeling.

4 hours
Machine Learning
James Chapman
Course

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

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

4 hours
Data Manipulation
Jason Myers
Course

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

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

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

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

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

4 hours
Probability & Statistics
David Robinson
Course

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

4 hours
Probability & Statistics
Richard Erickson
Course

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

4 hours
Machine Learning
Nele Verbiest
Course

In this *course* you'll learn about basic experimental design, a crucial part of any data analysis.

4 hours
Probability & Statistics
Joanne Xiong
Course

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

4 hours
Reporting
Lucy Dâ€™Agostino McGowan
Course

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

4 hours
Probability & Statistics
Jo Hardin
Course

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

4 hours
Reporting
Elaine McVey
Course

In this *course*, youâ€™ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

4 hours
Machine Learning
Nemanja RadojkoviÄ‡
Course

In this *course* you'll learn techniques for performing statistical inference on numerical data.

4 hours
Probability & Statistics
Mine Cetinkaya-Rundel
Course

In this *course* you'll learn how to leverage statistical techniques for working with categorical data.

4 hours
Probability & Statistics
Andrew Bray
Course

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

4 hours
Machine Learning
Hrant Davtyan
Course

In this *course* you will gain an overview clinical trial designs, determine the numbers of patients needed and conduct statistical analyses.

4 hours
Probability & Statistics
Tamuno Alfred
Course

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

4 hours
Probability & Statistics
Alicia Johnson
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

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

4 hours
Machine Learning
Verena Pflieger
Course

In this interactive *course*, youâ€™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

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

In this four-hour *course*, youâ€™ll learn the basics of analyzing time series data in Python.

4 hours
Probability & Statistics
Rob Reider
Course

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

4 hours
Data Engineering
Aaren Stubberfield
Course

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

4 hours
Probability & Statistics
Richard Erickson
Course

In this follow-up *course*, you will expand your stat modeling skills from the introduction and dive into more advanced concepts.

4 hours
Probability & Statistics
Daniel Kaplan
Course

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

3 hours
Data Manipulation
Maarten Van den Broeck
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

Analyze the network of characters in Game of Thrones and how it changes over the *course* of the books.

45 minutes
Case Studies
Mridul Seth
Project
guided

If you've never done a DataCamp project, this is the place to start!

30 minutes
Data Manipulation, Data Visualization...
David Venturi
Project
guided

If you have never done a DataCamp project, this is the place to start!

30 minutes
Data Visualization, Case Studies
Rasmus BĂĄĂĄth
Project
guided

If you've never done a DataCamp project, this is the place to start!

30 minutes
Data Visualization, Case Studies
Rasmus BĂĄĂĄth
Project
guided

Learn to analyze Twitter data and do a deep dive into a hot trend.

45 minutes
Data Manipulation, Data Visualization...
Samia Khalid
Project
guided

Use coding best practices and functions to improve a script!

45 minutes
Programming
Lis Sulmont
Project
guided

Use your logistic regression skills to protect people from becoming zombies!

45 minutes
Data Manipulation, Data Visualization...
Jenine Harris
Project
guided