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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.Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.
Learn how to design, automate, and monitor scalable forecasting pipelines in Python.
Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.
This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.
In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.
Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.
Learn the fundamentals of valuing stocks.
Découvrez comment fonctionnent les modèles derrière Google Translate avec Keras.
Learn how to prepare and organize your data for predictive analytics.
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.
Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.
Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!
GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.
Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.
You will use Net Revenue Management techniques in Google Sheets for a Fast Moving Consumer Goods company.
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
Learn to process sensitive information with privacy-preserving techniques.
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.
In this course youll learn how to use data science for several common marketing tasks.
In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.
Explore HR data analysis in Tableau with this case study.
Learn to easily summarize and manipulate lists using the purrr package.
Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.
In this course youll learn how to apply machine learning in the HR domain.
Advance you R finance skills to backtest, analyze, and optimize financial portfolios.
Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.
This course will introduce the support vector machine (SVM) using an intuitive, visual approach.