#### Network Analysis in R

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

186 results

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

Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.

4 hours
Probability & Statistics
Gert Janssenswillen
Course

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

5 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 streamline your machine learning workflows with tidymodels.

4 hours
Machine Learning
David Svancer
Course

Learn to easily summarize and manipulate lists using the purrr package.

4 hours
Programming
DataCamp Content Creator
Course

Learn to use essential bioconductor packages using datasets from virus, fungus, human and plants!

4 hours
Other
Paula Martinez
Course

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

4 hours
Machine Learning
Ted Kwartler
Course

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

5 hours
Machine Learning
Dmitriy Gorenshteyn
Course

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

4 hours
Data Manipulation
Matt Dowle
Course

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

4 hours
Probability & Statistics
Andrew Bray
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

Learn the bag of words technique for text mining with R.

4 hours
Machine Learning
Ted Kwartler
Course

Learn how to visualize time series in R, then practice with a stock-picking case study.

4 hours
Data Visualization
Arnaud Amsellem
Course

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

4 hours
Reporting
Dean Attali
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

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

4 hours
Probability & Statistics
Mine Cetinkaya-Rundel
Course

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

4 hours
Probability & Statistics
Kelly McConville
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

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

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

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

4 hours
Importing & Cleaning Data
DataCamp
Course

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

4 hours
Data Visualization
Rich Majerus
Course

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

4 hours
Reporting
Lucy D’Agostino McGowan
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 spatial data using the sf and raster packages.

4 hours
Probability & Statistics
Zev Ross
Course

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

4 hours
Data Visualization
Nicholas Strayer
Course

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

4 hours
Machine Learning
Kailash Awati
Course

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

4 hours
Data Manipulation
Scott Ritchie
Course

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

4 hours
Probability & Statistics
Jennifer Brussow
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

Create and share your own R Packages!

4 hours
Programming
Aimee Gott
Course

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

4 hours
Reporting
Elaine McVey
Course

Continue learning with purrr to create robust, clean, and easy to maintain iterative code.

4 hours
Programming
Colin FAY
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

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

4 hours
Programming
Richie Cotton
Course

Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

4 hours
Data Manipulation
Christopher Bruffaerts
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

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

5 hours
Applied Finance
Joshua Ulrich
Course

Learn A/B testing: including hypothesis testing, experimental design, and confounding variables.

4 hours
Probability & Statistics
DataCamp Content Creator
Course

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

4 hours
Other
John Blischak
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 how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.

5 hours
Case Studies
Ben Teusch
Course

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

4 hours
Case Studies
Lore Dirick
Course

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

5 hours
Applied Finance
Ross Bennett
Course

Learn to detect fraud with analytics in R.

4 hours
Machine Learning
Bart Baesens
Course

Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.

4 hours
Probability & Statistics
Ted Hart
Course

Learn defensive programming in R to make your code more robust.

4 hours
Programming
Colin Gillespie
Course

Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.

4 hours
Probability & Statistics
Jake Thompson
Course

Prepare for your upcoming machine learning interview by working through these practice questions that span across important topics in machine learning.

4 hours
Machine Learning
Rafael Falcon
Course