Market Basket Analysis in R
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.
Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.
Explore HR data analysis in Tableau with this case study.
Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.
Get to grips with the foundational components of LangChain agents and build custom chat agents
Learn how to prepare and organize your data for predictive analytics.
Learn the fundamentals of valuing stocks.
GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.
Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.
Learn all about how DataCamp builds the best platform to learn and teach data skills.
Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.
Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.
In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.
Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.
Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.
Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.
Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.
Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.
In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.
Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.
Practice Tableau with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.
Learn to analyze and model customer choice data in R.
Learn about experimental design, and how to explore your data to ask and answer meaningful questions.
Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.
In this course youll learn how to apply machine learning in the HR domain.