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En continuant, vous acceptez nos Conditions d'utilisation, notre Politique de confidentialité et le fait que vos données sont stockées aux États-Unis.Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.
Learn to solve increasingly complex problems using simulations to generate and analyze data.
This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.
Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.
Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.
Master GitHub Copilot to understand, write, and refine code with context, customization, and smart features.
Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.
Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.
Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.
Apply financial analysis in KNIME with real-world data, enhancing data preparation and workflow skills.
Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.
Learn to easily summarize and manipulate lists using the purrr package.
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.
Learn to build AI applications using Snowflake Cortexs built-in LLM functions for text analysis, generation, and multi-step workflows.
In this course youll learn how to apply machine learning in the HR domain.
Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.
You will use Net Revenue Management techniques in Google Sheets for a Fast Moving Consumer Goods company.
Discover how to talk to your data using text-to-query AI agents with MongoDB and LangGraph.
GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.
Learn how to visualize time series in R, then practice with a stock-picking case study.
In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.
Explore HR data analysis in Tableau with this case study.
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.
Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!
Learn to analyze, plot, and model multivariate data.
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!
Master RAG with Weaviate! Embed text and images for retrieval, and experiment with vector, BM25, and hybrid search.