Data science courses

This course will take you from Snowflakes foundational architecture to mastering advanced SnowSQL techniques.

Learn the key concepts of data modeling on Power BI.

No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.

In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.

Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.

This introductory and conceptual course will help you understand the fundamentals of data warehousing.

Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.

Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.

Take your Tableau skills up a notch with advanced analytics and visualizations.

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

Learn how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.

The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

Discover the world of Amazon Web Services (AWS) and understand why its at the forefront of cloud computing.

Learn about data science for managers and businesses and how to use data to strengthen your organization.

Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.

Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.

Dive deep into the principles and best practices of prompt engineering to leverage powerful language models like ChatGPT to solve real-world problems.

Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.

Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.

You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.

Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.

Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.

In this course, youll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.