#### 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*.

14 results
for "data science"

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

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 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

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

4 hours
Probability & Statistics
Richard Erickson
Course

Learn all about the advantages of Bayesian *data* analysis, and apply it to a variety of real-world use cases!

4 hours
Probability & Statistics
Michał Oleszak
Course

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

5 hours
Probability & Statistics
Alexander A. Ramírez M.
Course

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from *data* patterns.

4 hours
Probability & Statistics
Jason Vestuto
Course

Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

4 hours
Probability & Statistics
Eric Ma
Course

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

4 hours
Probability & Statistics
Jo Hardin
Course

Detect anomalies in your *data* analysis and expand your Python statistical toolkit in this four-hour course.

4 hours
Probability & Statistics
Bex Tuychiyev
Course

Learn how to explore, visualize, and extract insights from *data*.

4 hours
Probability & Statistics
Allen Downey
Course

Learn how to analyze and visualize network *data* in the R programming language using the tidyverse approach.

4 hours
Probability & Statistics
Massimo Franceschet
Course

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your *data*.

4 hours
Probability & Statistics
Ted Kwartler
Course

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

4 hours
Probability & Statistics
Jennifer Brussow
Course