Unsupervised Learning in Python
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.
Master the fundamentals of programming in Python. No prior knowledge required!
No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.
Start your journey developing AI-powered applications with the OpenAI API. Learn about the functionality that underpins popular AI applications like ChatGPT.
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.
Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.
Data-driven organizations consistently rely on insights to inspire action and drive change.
This course will take you from Snowflake's foundational architecture to mastering advanced SnowSQL techniques.
Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.
The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.
In this course, you'll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.
This introductory and conceptual course will help you understand the fundamentals of data warehousing.
Learn how to analyze a SQL table and report insights to management.
Take your Tableau skills up a notch with advanced analytics and visualizations.
Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.
Learn about data science for managers and businesses and how to use data to strengthen your organization.
Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.
Learn to use best practices to write maintainable, reusable, complex functions with good documentation.
Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests 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.
Gain a clear understanding of data privacy principles and how to implement privacy and security processes.
Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.
Dive deep into the principles and best practices of prompt engineering to leverage powerful language models like ChatGPT to solve real-world problems.
Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.
Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.