Introduction to Spark with sparklyr in R
Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.
IntermediateSkill Level
Over 3 hoursData EngineeringRichie CottonCourseLearn
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Feature Engineering in R
Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.
IntermediateSkill Level
Over 3 hoursMachine LearningJorge ZazuetaCourseStructural Equation Modeling with lavaan in R
Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.
AdvancedSkill Level
Over 3 hoursProbability & StatisticsErin BuchananCourseVisualizing Time Series Data in R
Learn how to visualize time series in R, then practice with a stock-picking case study.
IntermediateSkill Level
Over 3 hoursData VisualizationArnaud AmsellemCourseCase Study: Ecommerce Analysis in Tableau
In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.
IntermediateSkill Level
Over 3 hoursData VisualizationDev BhosaleCourseIntermediate Predictive Analytics in Python
Learn how to prepare and organize your data for predictive analytics.
BasicSkill Level
Over 3 hoursMachine LearningNele VerbiestCourseGARCH Models in R
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.
AdvancedSkill Level
Over 3 hoursApplied FinanceKris BoudtCourseNonlinear 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.
IntermediateSkill Level
Over 3 hoursProbability & StatisticsDataCamp Content CreatorCourseInteractive Data Visualization with plotly in R
Learn how to use plotly in R to create interactive data visualizations to enhance your data storytelling.
BasicSkill Level
Over 3 hoursData VisualizationAdam LoyCourseFoundations of Functional Programming with purrr
Learn to easily summarize and manipulate lists using the purrr package.
IntermediateSkill Level
Over 3 hoursSoftware DevelopmentDataCamp Content CreatorCourseHR Analytics: Predicting Employee Churn in Python
In this course youll learn how to apply machine learning in the HR domain.
IntermediateSkill Level
Over 3 hoursMachine LearningHrant DavtyanCoursePracticing Statistics Interview Questions in R
In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.
AdvancedSkill Level
Over 3 hoursProbability & StatisticsZuzanna ChmielewskaCourseEquity Valuation in R
Learn the fundamentals of valuing stocks.
IntermediateSkill Level
Over 3 hoursApplied FinanceClifford AngCoursePandas Joins for Spreadsheet Users
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
IntermediateSkill Level
Over 3 hoursData ManipulationJohn MillerCourseCase Study: Net Revenue Management in Google Sheets
You will use Net Revenue Management techniques in Google Sheets for a Fast Moving Consumer Goods company.
IntermediateSkill Level
Over 3 hoursApplied FinanceCarl RosseelCourseDimensionality Reduction in R
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.
BasicSkill Level
Over 3 hoursMachine LearningMatt PickardCourseIntroduction to Natural Language Processing in R
Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.
IntermediateSkill Level
Over 3 hoursMachine LearningKasey JonesCourseCase Studies: Building Web Applications with Shiny in R
Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!
IntermediateSkill Level
Over 3 hoursReportingDean AttaliCourseInteractive Data Visualization with Bokeh
Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!
IntermediateSkill Level
Over 3 hoursData VisualizationGeorge BoormanCourseR For SAS Users
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.
BasicSkill Level
Over 3 hoursSoftware DevelopmentMelinda HigginsCoursePredicting CTR with Machine Learning in Python
Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.
IntermediateSkill Level
Over 3 hoursMachine LearningKevin HuoCourseMarket Basket Analysis in R
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.
IntermediateSkill Level
Over 3 hoursData ManipulationChristopher BruffaertsCourseBuilding Dashboards with flexdashboard
In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.
IntermediateSkill Level
Over 3 hoursReportingElaine McVeyCourseDataLab with SQL
Elevate your analysis with this hands-on course using SQL with DataLab workbooks.
BasicSkill Level
1-2 hoursReportingJasmin LudolfCourseCase Study: HR Analytics in Tableau
Explore HR data analysis in Tableau with this case study.
IntermediateSkill Level
Over 3 hoursData VisualizationJess AhmetCourseLoan Amortization in Google Sheets
Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.
IntermediateSkill Level
Over 3 hoursApplied FinanceBrent AllenCourseSupport Vector Machines in R
This course will introduce the support vector machine (SVM) using an intuitive, visual approach.
IntermediateSkill Level
Over 3 hoursMachine LearningKailash AwatiCourseMultivariate Probability Distributions in R
Learn to analyze, plot, and model multivariate data.
IntermediateSkill Level
Over 3 hoursProbability & StatisticsSurajit RayCourseSentiment Analysis in R
Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.
IntermediateSkill Level
Over 3 hoursMachine LearningTed KwartlerCourseChIP-seq with Bioconductor in R
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.
IntermediateSkill Level
Over 3 hoursProbability & StatisticsPeter HumburgCourse