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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 fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.
Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.
Learn how to structure your PostgreSQL queries to run in a fraction of the time.
Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.
Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.
Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.
Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.
Maîtrisez le traitement des données en streaming grâce aux technologies sans serveur d’AWS.
Master SQL Server programming by learning to create, update, and execute functions and stored procedures.
Learn essential finance math skills with practical Excel exercises and real-world examples.
Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.
In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.
In this course, students will learn to write queries that are both efficient and easy to read and understand.
Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!
Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.
Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.
Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.
Learn to manipulate and analyze flexibly structured data with MongoDB.
Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.
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.
Learn how to detect fraud using Python.
Analyze text data in R using the tidy framework.
Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.
Explore ways to work with date and time data in SQL Server for time series analysis
Dive into the world of digital transformation and equip yourself to be an agent of change in a rapidly evolving digital landscape.
You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.
Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.
Using Python and NumPy, learn the most fundamental financial concepts.
Fine-tune Llama for custom tasks using TorchTune, and learn techniques for efficient fine-tuning such as quantization.
Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.