179 results

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

Text Mining with Bag-of-Words in R

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

4 hours Machine Learning Ted Kwartler Course

Analyzing US Census Data in R

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

4 hours Other Kyle Walker Course

Importing and Managing Financial Data in R

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

5 hours Applied Finance Joshua Ulrich Course

Hierarchical and Mixed Effects Models in R

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

4 hours Probability & Statistics Richard Erickson Course

Introduction to Portfolio Analysis in R

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

5 hours Applied Finance Kris Boudt Course

Dealing With Missing Data in R

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

Sentiment Analysis in R

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

4 hours Data Manipulation Ted Kwartler Course

Cluster Analysis in R

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

Credit Risk Modeling in R

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

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

Network Analysis in R

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

Intermediate Importing Data in R

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

Machine Learning for Marketing Analytics in R

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

4 hours Machine Learning Verena Pflieger Course

Analyzing Survey Data in R

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

4 hours Probability & Statistics Kelly McConville Course

Building Dashboards with flexdashboard

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

4 hours Reporting Elaine McVey Course

Building Dashboards with shinydashboard

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

Experimental Design in R

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

4 hours Probability & Statistics Joanne Xiong Course

Case Studies: Building Web Applications with Shiny in R

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

4 hours Reporting Dean Attali Course

Introduction to Natural Language Processing in R

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

Object-Oriented Programming with S3 and R6 in R

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

4 hours Programming Richie Cotton Course

Life Insurance Products Valuation in R

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

Manipulating Time Series Data with xts and zoo in R

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

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

Developing R Packages

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

Foundations of Inference in R

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

Survival Analysis in R

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

Machine Learning in the Tidyverse

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

5 hours Machine Learning Dmitriy Gorenshteyn Course

Interactive Maps with leaflet in R

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

4 hours Data Visualization Rich Majerus Course

Structural Equation Modeling with lavaan in R

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

Quantitative Risk Management in R

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

Support Vector Machines in R

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

4 hours Machine Learning Kailash Awati Course

Multivariate Probability Distributions in R

Learn to analyze, plot, and model multivariate data.

4 hours Probability & Statistics Surajit Ray Course

Differential Expression Analysis with limma in R

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

4 hours Other John Blischak Course

Factor Analysis in R

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

4 hours Probability & Statistics Jennifer Brussow Course

Inference for Numerical Data in R

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

4 hours Probability & Statistics Mine Cetinkaya-Rundel Course

A/B Testing in R

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

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

Handling Missing Data with Imputations in R

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

Bond Valuation and Analysis in R

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

Intermediate Interactive Data Visualization with plotly in R

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

4 hours Data Visualization Adam Loy Course

HR Analytics: Exploring Employee Data in R

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

Dimensionality Reduction in R

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

Feature Engineering in R

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

Case Study: Analyzing City Time Series Data in R

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

Analyzing Social Media Data in R

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

4 hours Data Manipulation Sowmya Vivek Course

Intermediate Portfolio Analysis in R

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

5 hours Applied Finance Ross Bennett Course

Hyperparameter Tuning in R

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

4 hours Machine Learning Shirin Elsinghorst (formerly Glander) Course

Parallel Programming in R

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

R For SAS Users

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
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