This course will go through several features in Power BI that will give your report ability to easily answer questions about your dataset.

Power BI reports often depend on local data sources. This course will teach how to you use on-premises data gateways to connect the two.

Evaluate possible changes to indexes. Determine the impact of changes to queries and indexes. Explore Query Store hints.

A look at the analytics capabilities in the core Excel product and its add-ins, including PowerPivot, Power View, "Data Explorer" and "GeoFlow," as well as an investigation into how to use these tools together.

Take your Excel skills to the next level by learning how to sort, filter, and pivot data.

This course covers conceptual and practical aspects of building and evaluating machine learning models in a way that uses data judiciously, while also accounting for considerations such as ordering and relationships within data and other biases.

Master the art of making informed decisions by learning advanced EDA techniques. This course will teach you to effectively interpret complex datasets.

Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.

Learn how to use exploratory data analysis (EDA) techniques in Python to evaluate, summarize, and visualize your data.

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

Learn how to explore what's available in a database: the tables, relationships between them, and data stored in them.

In this course, master Exploratory Data Analysis (EDA) using Python. Dive deep into complex data sets, extract insights, and elevate your data science proficiency.