#### 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.

179 results

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 the bag of words technique for text mining with R.

4 hours
Machine Learning
Ted Kwartler
Course

Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

4 hours
Other
Kyle Walker
Course

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

5 hours
Applied Finance
Joshua Ulrich
Course

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

4 hours
Probability & Statistics
Richard Erickson
Course

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

5 hours
Applied Finance
Kris Boudt
Course

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

4 hours
Data Preparation
DataCamp
Course

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

4 hours
Data Manipulation
Ted Kwartler
Course

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

4 hours
Machine Learning
Dmitriy Gorenshteyn
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 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

Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

4 hours
Probability & Statistics
JAMES CURLEY
Course

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

3 hours
Data Preparation
Filip Schouwenaars
Course

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

4 hours
Machine Learning
Verena Pflieger
Course

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

4 hours
Probability & Statistics
Kelly McConville
Course

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

4 hours
Reporting
Elaine McVey
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

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

4 hours
Probability & Statistics
Joanne Xiong
Course

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

4 hours
Reporting
Dean Attali
Course

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

4 hours
Machine Learning
Kasey Jones
Course

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

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

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

4 hours
Data Manipulation
DataCamp Content Creator
Course

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

4 hours
Probability & Statistics
Jo Hardin
Course

Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

4 hours
Programming
Jasmin Ludolf
Course

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

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

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

5 hours
Machine Learning
Dmitriy Gorenshteyn
Course

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

4 hours
Data Visualization
Rich Majerus
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

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

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

4 hours
Machine Learning
Kailash Awati
Course

Learn to analyze, plot, and model multivariate data.

4 hours
Probability & Statistics
Surajit Ray
Course

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

4 hours
Other
John Blischak
Course

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

4 hours
Probability & Statistics
Jennifer Brussow
Course

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

4 hours
Probability & Statistics
Mine Cetinkaya-Rundel
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

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

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

4 hours
Data Manipulation
Michał Oleszak
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

Learn to create animated graphics and linked views entirely in R with plotly.

4 hours
Data Visualization
Adam Loy
Course

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

5 hours
Exploratory Data Analysis
Ben Teusch
Course

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

4 hours
Machine Learning
Matt Pickard
Course

Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

4 hours
Machine Learning
Jorge Zazueta
Course

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

4 hours
Probability & Statistics
Lore Dirick
Course

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

4 hours
Data Manipulation
Sowmya Vivek
Course

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

5 hours
Applied Finance
Ross Bennett
Course

Learn how to tune your model's hyperparameters to get the best predictive results.

4 hours
Machine Learning
Shirin Elsinghorst (formerly Glander)
Course

Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

4 hours
Programming
Nabeel Imam
Course

Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

4 hours
Programming
Melinda Higgins
Course