Customer Analytics and A/B Testing in Python
Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.
No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.
Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.
Learn about data science for managers and businesses and how to use data to strengthen your organization.
Take your Tableau skills up a notch with advanced analytics and visualizations.
Learn the key concepts of data modeling on Power BI.
Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.
Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.
A non-coding introduction to cloud computing, covering key concepts, terminology, and tools.
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.
Improve your Python data importing skills and learn to work with web and API data.
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 to use best practices to write maintainable, reusable, complex functions with good documentation.
The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.
This course will take you from Snowflake's foundational architecture to mastering advanced SnowSQL techniques.
Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.
Explore the world of Pivot Tables within Google Sheets, and learn how to quickly organize thousands of data points with just a few clicks of the mouse.
Expand your spreadsheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.
Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.
Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.
Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.
Learn how to analyze a SQL table and report insights to management.
Learn the fundamentals of data visualization using spreadsheets.
Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.
Join two or three tables together into one, combine tables using set theory, and work with subqueries in PostgreSQL.
Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!