14 results for "data science"

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

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.

4 hours Probability & Statistics DataCamp Content Creator Course

Fundamentals of Bayesian Data Analysis in R

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

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

Bayesian Data Analysis in Python

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

Foundations of Probability in Python

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

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

Introduction to Linear Modeling in Python

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

Intermediate Network Analysis in Python

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

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

Anomaly Detection in Python

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

4 hours Probability & Statistics Bex Tuychiyev Course

Exploratory Data Analysis in Python

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

4 hours Probability & Statistics Allen Downey Course

Network Analysis in the Tidyverse

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

4 hours Probability & Statistics Massimo Franceschet Course

Introduction to Statistics in Spreadsheets

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

Factor Analysis in R

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

4 hours Probability & Statistics Jennifer Brussow Course

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