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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery
Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.
Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!
Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.
Learn to process, transform, and manipulate images at your will.
You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.
Level up your GitHub skills with our intermediate course on GitHub Projects, Administration, and advanced security features.
Learn about data science for managers and businesses and how to use data to strengthen your organization.
In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.
In this four-hour course, you’ll learn the basics of analyzing time series data in Python.
Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.
Take your dbt skills to the next level with this hands-on course designed for data engineers and analytics professionals.
Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.
Get to grips with the foundational components of LangChain agents and build custom chat agents.
In this course you will learn the details of linear classifiers like logistic regression and SVM.
Unlock more advanced AI applications, like semantic search and recommendation engines, using OpenAIs embedding model!
Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.
Master strategic data management for business excellence.
Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.
Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.
Discover how to make better business decisions by applying practical data frameworks—no coding required.
Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.
Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.
Master sampling to get more accurate statistics with less data.
Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.
This course focuses on feature engineering and machine learning for time series data.
Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.
Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.
In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.
Learn to implement distributed data management and machine learning in Spark using the PySpark package.