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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.Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.
Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.
Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.
Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.
Visualize seasonality, trends and other patterns in your time series data.
Take your reporting skills to the next level with Tableau’s built-in statistical functions.
Explore ways to work with date and time data in SQL Server for time series analysis
Fine-tune Llama for custom tasks using TorchTune, and learn techniques for efficient fine-tuning such as quantization.
Use Seaborns sophisticated visualization tools to make beautiful, informative visualizations with ease.
Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!
Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.
Découvrez Amazon Bedrock pour accéder aux modèles de base et créer des apps IA sans gérer l’infrastructure.
Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.
This course will show you how to integrate spatial data into your Python Data Science workflow.
In this course, students will learn to write queries that are both efficient and easy to read and understand.
Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.
Learn how to build interactive and insight-rich dashboards with Dash and Plotly.
Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.
Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!
Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.
Learn how to structure your PostgreSQL queries to run in a fraction of the time.
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.
In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.
Learn how to identify, analyze, remove and impute missing data in Python.
In this course, youll learn the basics of relational databases and how to interact with them.
This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.
You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.