149 results

courses (149)

projects

Introduction to R

Master the basics of data analysis by manipulating common data structures such as vectors, matrices, and data frames.

4 hoursProgrammingJonathan Cornelissencourses

Intermediate R

Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

6 hoursProgrammingFilip Schouwenaarscourses

Introduction to the Tidyverse

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

4 hoursProgrammingDavid Robinsoncourses

Introduction to Data Visualization with ggplot2

Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.

4 hoursData VisualizationRick Scavettacourses

Data Manipulation with dplyr

Learn to transform and manipulate your data using dplyr.

4 hoursData ManipulationDataCamp Content Creatorcourses

Introduction to Statistics in R

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

4 hoursProbability & StatisticsMaggie Matsuicourses

Introduction to Importing Data in R

In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

3 hoursImporting & Cleaning DataFilip Schouwenaarscourses

Joining Data with dplyr

Learn to combine data across multiple tables to answer more complex questions with dplyr.

4 hoursData ManipulationDataCamp Content Creatorcourses

Introduction to Regression in R

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

4 hoursProbability & StatisticsRichie Cottoncourses

Reporting with R Markdown

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

4 hoursReportingAmy Petersoncourses

Cleaning Data in R

Develop the skills you need to go from raw data to awesome insights as quickly and accurately as possible.

4 hoursImporting & Cleaning DataMaggie Matsuicourses

Intermediate Data Visualization with ggplot2

Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

4 hoursData VisualizationRick Scavettacourses

Supervised Learning in R: Classification

In this course you will learn the basics of machine learning for classification.

4 hoursMachine LearningBrett Lantzcourses

Correlation and Regression in R

Learn how to describe relationships between two numerical quantities and characterize these relationships graphically.

4 hoursProbability & StatisticsBen Baumercourses

Exploratory Data Analysis in R

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

4 hoursProbability & StatisticsAndrew Braycourses

Introduction to Writing Functions in R

Take your R skills up a notch by learning to write efficient, reusable functions.

4 hoursProgrammingRichie Cottoncourses

Writing Efficient R Code

Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

4 hoursProgrammingColin Gillespiecourses

Data Visualization in R

This course provides a comprehensive introduction to working with base graphics in R.

4 hoursData VisualizationRonald Pearsoncourses

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 hoursMachine LearningDmitriy Gorenshteyncourses

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 hoursImporting & Cleaning DataFilip Schouwenaarscourses

Sampling in R

Master sampling to get more accurate statistics with less data.

4 hoursProbability & StatisticsRichie Cottoncourses

Introduction to R for Finance

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

4 hoursApplied FinanceLore Dirickcourses

Intermediate Regression in R

Learn to perform linear and logistic regression with multiple explanatory variables.

4 hoursProbability & StatisticsRichie Cottoncourses

Building Web Applications with Shiny in R

Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

4 hoursProgrammingkaelen medeiroscourses

Unsupervised Learning in R

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

4 hoursMachine LearningHank Roarkcourses

Working with Dates and Times in R

Learn the essentials of parsing, manipulating and computing with dates and times in R.

4 hoursProgrammingCharlotte Wickhamcourses

Case Study: Exploratory Data Analysis in R

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

4 hoursCase StudiesDavid Robinsoncourses

Data Manipulation with data.table in R

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

4 hoursData ManipulationMatt Dowlecourses

Inference for Linear Regression in R

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

4 hoursProbability & StatisticsJo Hardincourses

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 hoursData ManipulationDataCamp Content Creatorcourses

Supervised Learning in R: Regression

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

4 hoursMachine LearningJohn Mountcourses

Foundations of Probability in R

In this course, you'll learn about the concepts of random variables, distributions, and conditioning.

4 hoursProbability & StatisticsDavid Robinsoncourses

Hypothesis Testing in R

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests.

4 hoursProbability & StatisticsRichie Cottoncourses

Machine Learning with caret in R

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

4 hoursMachine LearningZachary Deane-Mayercourses

Time Series Analysis in R

Learn the core techniques necessary to extract meaningful insights from time series data.

4 hoursProbability & StatisticsDavid S. Mattesoncourses

Categorical Data in the Tidyverse

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 hoursData ManipulationEmily Robinsoncourses

Intermediate R for Finance

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

5 hoursApplied FinanceLore Dirickcourses

Working with Data in the Tidyverse

Learn to work with data using tools from the tidyverse, and master the important skills of taming and tidying your data.

4 hoursData ManipulationAlison Hillcourses

Multiple and Logistic Regression in R

In this course you'll learn to add multiple variables to linear models and to use logistic regression for classification.

4 hoursProbability & StatisticsBen Baumercourses

Reshaping Data with tidyr

Transform almost any dataset into a tidy format to make analysis easier.

4 hoursData ManipulationJeroen Boeyecourses

Introduction to Text Analysis in R

Analyze text data in R using the tidy framework.

4 hoursData ManipulationMarc Dotsoncourses

String Manipulation with stringr in R

Learn how to pull character strings apart, put them back together and use the stringr package.

4 hoursProgrammingCharlotte Wickhamcourses

Inference for Numerical Data in R

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

4 hoursProbability & StatisticsMine Cetinkaya-Rundelcourses

Hierarchical and Mixed Effects Models in R

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

4 hoursProbability & StatisticsRichard Ericksoncourses

Visualizing Geospatial Data in R

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

4 hoursData VisualizationCharlotte Wickhamcourses

Forecasting in R

Learn how to make predictions about the future using time series forecasting in R.

5 hoursProbability & StatisticsRob J. Hyndmancourses

Generalized Linear Models in R

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

4 hoursProbability & StatisticsRichard Ericksoncourses

Joining Data with data.table in R

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

4 hoursData ManipulationScott Ritchiecourses

Introduction to Portfolio Analysis in R

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

5 hoursApplied FinanceKris Boudtcourses

Introduction to Data in R

Learn the language of data, study types, sampling strategies, and experimental design.

4 hoursProbability & StatisticsMine Cetinkaya-Rundelcourses

Introduction to Bioconductor in R

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

4 hoursOtherPaula Martinezcourses

Machine Learning with Tree-Based Models in R

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

4 hoursMachine LearningSandro Raabecourses

Network Analysis in R

In this course you'll learn to analyze and visualize network data with the igraph package.

4 hoursProbability & StatisticsJAMES CURLEYcourses

Building Dashboards with shinydashboard

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

4 hoursReportingLucy D’Agostino McGowancourses

Market Basket Analysis in R

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

4 hoursData ManipulationChristopher Bruffaertscourses

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 hoursProbability & StatisticsRasmus Bååthcourses

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 hoursProgrammingRichie Cottoncourses

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 hoursImporting & Cleaning Datacourses

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 hoursProbability & StatisticsHeidi Seiboldcourses

Foundations of Inference

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

4 hoursProbability & StatisticsJo Hardincourses

Text Mining with Bag-of-Words in R

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

4 hoursMachine LearningTed Kwartlercourses

RNA-Seq with Bioconductor in R

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

4 hoursOtherMary Pipercourses

Web Scraping in R

Learn how to efficiently collect and download data from any website using R.

4 hoursImporting & Cleaning DataTimo Grossenbachercourses

ARIMA Models in R

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

4 hoursProbability & StatisticsDavid Stoffercourses

Intermediate Portfolio Analysis in R

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

5 hoursApplied FinanceRoss Bennettcourses

Support Vector Machines in R

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

4 hoursMachine LearningKailash Awaticourses

Introduction to Statistical Modeling in R

This course is designed to get you up to speed with the most important and powerful methodologies in statistics.

4 hoursProbability & StatisticsDaniel Kaplancourses

Modeling with Data in the Tidyverse

Explore Linear Regression in a tidy framework.

4 hoursProbability & StatisticsAlbert Y. Kimcourses

Importing and Managing Financial Data in R

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

5 hoursApplied FinanceJoshua Ulrichcourses

Modeling with tidymodels in R

Learn to streamline your machine learning workflows with tidymodels.

4 hoursMachine LearningDavid Svancercourses

Inference for Categorical Data in R

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

4 hoursProbability & StatisticsAndrew Braycourses

Analyzing Survey Data in R

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

4 hoursProbability & StatisticsKelly McConvillecourses

Credit Risk Modeling in R

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

4 hoursApplied FinanceLore Dirickcourses

Visualization Best Practices in R

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

4 hoursData VisualizationNicholas Strayercourses

Experimental Design in R

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

4 hoursProbability & Statisticskaelen medeiroscourses

Machine Learning in the Tidyverse

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

5 hoursMachine LearningDmitriy Gorenshteyncourses

Communicating with Data in the Tidyverse

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

4 hoursData VisualizationTimo Grossenbachercourses

Designing and Analyzing Clinical Trials in R

In this course you will gain an overview clinical trial designs, determine the numbers of patients needed and conduct statistical analyses.

4 hoursProbability & StatisticsTamuno Alfredcourses

Analyzing Election and Polling Data in R

Learn R for data science by wrangling, visualizing, and modeling political data like polls and election results.

4 hoursCase StudiesG Elliott Morriscourses

Working with Web Data in R

Learn how to efficiently import data from the web into R.

4 hoursImporting & Cleaning DataCharlotte Wickhamcourses

Interactive Data Visualization with plotly in R

Learn to create interactive graphics entirely in R with plotly.

4 hoursData VisualizationAdam Loycourses

Multivariate Probability Distributions in R

Learn to analyze, plot, and model multivariate data.

4 hoursProbability & StatisticsSurajit Raycourses

Quantitative Risk Management in R

Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

5 hoursApplied FinanceAlexander J. McNeilcourses

Analyzing Social Media Data in R

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

4 hoursData ManipulationSowmya Vivekcourses

Spatial Analysis with sf and raster in R

Analyze spatial data using the sf and raster packages.

4 hoursProbability & StatisticsZev Rosscourses

Case Studies: Building Web Applications with Shiny in R

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

4 hoursReportingDean Attalicourses

Programming with dplyr

Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.

4 hoursData ManipulationDr. Chester Ismaycourses

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 hoursMachine LearningKasey Jonescourses

Interactive Maps with leaflet in R

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

4 hoursData VisualizationRich Majeruscourses

Introduction to Spark with sparklyr in R

Learn how to analyze huge datasets using Apache Spark and R using the sparklyr package.

4 hoursProgrammingRichie Cottoncourses

A/B Testing in R

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

4 hoursProbability & StatisticsDataCamp Content Creatorcourses

Foundations of Functional Programming with purrr

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

4 hoursProgrammingDataCamp Content Creatorcourses

Factor Analysis in R

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

4 hoursProbability & StatisticsJennifer Brussowcourses

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 hoursProbability & StatisticsEric Eagercourses

Sentiment Analysis in R

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

4 hoursMachine LearningTed Kwartlercourses

Differential Expression Analysis with limma in R

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

4 hoursOtherJohn Blischakcourses

Building Dashboards with flexdashboard

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

4 hoursReportingElaine McVeycourses

Nonlinear Modeling in R with GAMs

GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.

4 hoursProbability & StatisticsDataCamp Content Creatorcourses

Interactive Data Visualization with rbokeh

Learn rbokeh: a visualization library for interactive web-based plots.

4 hoursData VisualizationOmayma Saidcourses

Intermediate Functional Programming with purrr

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

4 hoursProgrammingColin FAYcourses

Developing R Packages

Create and share your own R Packages!

4 hoursProgrammingAimee Gottcourses

Intermediate Statistical Modeling in R

In this follow-up course, you will expand your stat modeling skills from the introduction and dive into more advanced concepts.

4 hoursProbability & StatisticsDaniel Kaplancourses

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 hoursData ManipulationMichał Oleszakcourses

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 hoursApplied FinanceClifford Angcourses

Introduction to Anomaly Detection in R

Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

4 hoursProbability & StatisticsDataCamp Content Creatorcourses

Bayesian Modeling with RJAGS

In this course, you'll learn how to implement more advanced Bayesian models using RJAGS.

4 hoursProbability & StatisticsAlicia Johnsoncourses

Survey and Measurement Development in R

Design surveys to get actionable insights via reviewing of survey design structures and visualizing and analyzing survey results.

4 hoursProbability & StatisticsGeorge Mountcourses

Financial Trading in R

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

5 hoursApplied FinanceIlya Kipniscourses

Bayesian Regression Modeling with rstanarm

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

4 hoursProbability & StatisticsJake Thompsoncourses

Visualizing Time Series Data in R

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

4 hoursData VisualizationArnaud Amsellemcourses

Spatial Statistics in R

Learn how to make sense of spatial data and deal with various classes of statistical problems associated with it.

4 hoursProbability & StatisticsBarry Rowlingsoncourses

Fraud Detection in R

Learn to detect fraud with analytics in R.

4 hoursMachine LearningBart Baesenscourses

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 hoursProbability & StatisticsErin Buchanancourses

Case Studies: Manipulating Time Series Data in R

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

4 hoursCase StudiesLore Dirickcourses

Feature Engineering in R

Learn a variety of feature engineering techniques to develop meaningful features that will uncover useful insights about your machine learning models.

4 hoursMachine LearningJose Hernandezcourses

Business Process Analytics in R

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

4 hoursProbability & StatisticsGert Janssenswillencourses

Parallel Programming in R

This course covers in detail the tools available in R for parallel computing.

4 hoursProgrammingHana Sevcikovacourses

Machine Learning for Marketing Analytics in R

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

4 hoursMachine LearningVerena Pfliegercourses

Human Resources Analytics: Exploring Employee Data in R

Manipulate, visualize, and perform statistical tests on HR data.

5 hoursCase StudiesBen Teuschcourses

Introduction to TensorFlow in R

Learn how to use TensorFlow, a state-of-the-art machine learning framework that specializes in the ability to develop deep learning neural networks.

4 hoursMachine LearningColleen Bobbiecourses

Hyperparameter Tuning in R

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

4 hoursMachine LearningShirin Elsinghorst (formerly Glander)courses

Intermediate Regular Expressions in R

Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.

4 hoursData ManipulationAngelo Zehrcourses

Defensive R Programming

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

4 hoursProgrammingColin Gillespiecourses

Topic Modeling in R

Learn how to fit topic models using the Latent Dirichlet Allocation algorithm.

4 hoursMachine LearningPavel Oleinikovcourses

GARCH Models in R

Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.

4 hoursApplied FinanceKris Boudtcourses

Choice Modeling for Marketing in R

Learn to analyze and model customer choice data in R.

4 hoursProbability & StatisticsElea McDonnell Feitcourses

Practicing Statistics Interview Questions in R

In this course, you'll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

4 hoursProbability & StatisticsZuzanna Chmielewskacourses

R For SAS Users

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

4 hoursProgrammingMelinda Higginscourses

Case Studies: Network Analysis in R

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

4 hoursProbability & StatisticsTed Hartcourses

Equity Valuation in R

Learn the fundamentals of valuing stocks.

4 hoursApplied FinanceClifford Angcourses

Forecasting Product Demand in R

Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

4 hoursProbability & StatisticsAric LaBarrcourses

Predictive Analytics using Networked Data in R

Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network

4 hoursProbability & StatisticsBart Baesenscourses

Optimizing R Code with Rcpp

Use C++ to dramatically boost the performance of your R code.

4 hoursProgrammingTeam ThinkRcourses

Advanced Dimensionality Reduction in R

Learn how to apply advanced dimensionality techniques such as t-SNE and GLRM.

4 hoursMachine LearningFederico Castanedocourses

ChIP-seq with Bioconductor in R

Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

4 hoursOtherPeter Humburgcourses

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 hoursApplied FinanceKatrien Antoniocourses

Network Analysis in the Tidyverse

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

4 hoursProbability & StatisticsMassimo Franceschetcourses

Mixture Models in R

Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

4 hoursProbability & StatisticsVictor Medinacourses

Practicing Machine Learning Interview Questions in R

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

4 hoursMachine LearningRafael Falconcourses

Intermediate Interactive Data Visualization with plotly in R

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

4 hoursData VisualizationAdam Loycourses

Data Privacy and Anonymization in R

Publicly release data sets with a differential privacy guarantee.

4 hoursProbability & StatisticsClaire Bowencourses

Time Series with data.table in R

Master time series data using data.table in R.

4 hoursData ManipulationJames Lambcourses

Visualizing Big Data with Trelliscope in R

Learn how to visualize big data in R using ggplot2 and trelliscopejs.

4 hoursData VisualizationRyan Hafencourses

Probability Puzzles in R

Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

4 hoursProbability & StatisticsPeter Chicourses

Human Resources Analytics: Predicting Employee Churn in R

Predict employee turnover and design retention strategies.

4 hoursCase StudiesAnurag Guptacourses

Scalable Data Processing in R

Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.

4 hoursProgrammingMichael Kanecourses

Analyzing US Census Data in R

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

4 hoursOtherKyle Walkercourses

Building Response Models in R

Learn to build simple models of market response to increase the effectiveness of your marketing plans.

4 hoursProbability & Statisticscourses

Data Visualization with lattice in R

Learn to visualize multivariate datasets using lattice graphics.

4 hoursData VisualizationDeepayan Sarkarcourses

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topic

probability & statisticsmachine learningprogrammingdata manipulationdata visualizationapplied financeimporting & cleaning datacase studiesdata engineeringotherreportingmanagement