Data Modeling in Power BI
Learn the key concepts of data modeling on Power BI.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Learn the key concepts of data modeling on Power BI.
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.
Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.
Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.
Build the foundation you need to think statistically and to speak the language of your data.
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.
Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.
Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.
In this course, you'll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.
Learn how to analyze a SQL table and report insights to management.
Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.
Data is all around us, which makes data literacy an essential life skill.
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.
Learn how to manipulate and visualize categorical data using pandas and seaborn.
Learn to retrieve and parse information from the internet using the Python library scrapy.
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.
Learn to combine data across multiple tables to answer more complex questions with dplyr.
Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.
Learn how to work with dates and times in Python.
Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.
Learn to use spreadsheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.
Join two or three tables together into one, combine tables using set theory, and work with subqueries in PostgreSQL.
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
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.
Discover how to make better business decisions by applying practical data frameworks—no coding required.
Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.
Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.
Understand the fundamentals of Machine Learning and how it's applied in the business world.
You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.