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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.In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.
Learn how to prepare and organize your data for predictive analytics.
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.
Learn how to use plotly in R to create interactive data visualizations to enhance your data storytelling.
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
Master RAG with Weaviate! Embed text and images for retrieval, and experiment with vector, BM25, and hybrid search.
Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.
Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!
Explore HR data analysis in Tableau with this case study.
Learn to analyze, plot, and model multivariate data.
Elevate your analysis with this hands-on course using SQL with DataLab workbooks.
Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!
Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.
Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!
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.
In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.
Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.
Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.
Master data cleaning in Java using statistical methods, transformations, and validation for reliable apps.
Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.
Learn the fundamentals of valuing stocks.
This course will introduce the support vector machine (SVM) using an intuitive, visual approach.
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.
Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.
Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.
Advance you R finance skills to backtest, analyze, and optimize financial portfolios.