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278 results

Support Vector Machines in R

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

ClockOver 3 hoursTagMachine LearningUserKailash AwatiLearncourse

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.

ClockOver 3 hoursTagData EngineeringUserRichie CottonLearncourse

Market Basket Analysis in R

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

ClockOver 3 hoursTagData ManipulationUserChristopher BruffaertsLearncourse

Analyzing US Census Data in R

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

ClockOver 3 hoursTagExploratory Data AnalysisUserKyle WalkerLearncourse

Performing Experiments in Python

Learn about experimental design, and how to explore your data to ask and answer meaningful questions.

ClockOver 3 hoursTagProbability & StatisticsUserLuke HaydenLearncourse

Programming with dplyr

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

ClockOver 3 hoursTagData ManipulationUserDr. Chester IsmayLearncourse

Case Study: Inventory Analysis in Tableau

Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

Clock2-3 hoursTagData VisualizationUserIason PrassidesLearncourse

Case Studies in Statistical Thinking

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

ClockOver 3 hoursTagProbability & StatisticsUserJustin BoisLearncourse

Financial Trading in R

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

ClockOver 3 hoursTagApplied FinanceUserIlya KipnisLearncourse

Pandas Joins for Spreadsheet Users

Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.

ClockOver 3 hoursTagData ManipulationUserJohn MillerLearncourse

Intermediate Regular Expressions in R

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

ClockOver 3 hoursTagSoftware DevelopmentUserBenja ZehrLearncourse

Joining Data with data.table in R

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

ClockOver 3 hoursTagData ManipulationUserScott RitchieLearncourse

Loan Amortization in Google Sheets

Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.

ClockOver 3 hoursTagApplied FinanceUserBrent AllenLearncourse

Building Dashboards with flexdashboard

In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.

ClockOver 3 hoursTagReportingUserElaine McVeyLearncourse

Sentiment Analysis in R

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

ClockOver 3 hoursTagMachine LearningUserTed KwartlerLearncourse

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.

ClockOver 3 hoursTagSoftware DevelopmentUserNabeel ImamLearncourse

Fraud Detection in R

Learn to detect fraud with analytics in R.

ClockOver 3 hoursTagMachine LearningUserBart BaesensLearncourse

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.

ClockOver 3 hoursTagProbability & StatisticsUserAric LaBarrLearncourse

Predicting 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.

ClockOver 3 hoursTagMachine LearningUserKevin HuoLearncourse

Defensive R Programming

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

ClockOver 3 hoursTagSoftware DevelopmentUserColin GillespieLearncourse

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