Data science courses

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.

Understand the fundamentals of Machine Learning and how its applied in the business world.

In this course youll learn the basics of working with time series data.

Leverage the OpenAI API to get your AI applications ready for production.

This course introduces dbt for data modeling, transformations, testing, and building documentation.

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

Continue your data visualization journey where youll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.

Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

Discover the different ways you can enhance your Power BI data importing skills.

Use your knowledge of common spreadsheet functions and techniques to explore Python!

Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.

Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!

Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.

Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.

Master AWS cloud technology with our course - ideal for hands-on learning and practical applications in the AWS ecosystem.

This course dives deeper into the Azures backbone by going into topics like containers, virtual machines and much more.

Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.

You will investigate a dataset from a fictitious company called Databel in Excel, and need to figure out why customers are churning.

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.

Explore the basics of data quality management. Learn the key concepts, dimensions, and techniques for monitoring and improving data quality.

Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

In this course you will learn the details of linear classifiers like logistic regression and SVM.

Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.

Learn to clean data as quickly and accurately as possible to help your business move from raw data to awesome insights.

Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.

Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.