Learn what a Power BI semantic model is, which data loading approach to use, and how to build out your semantic model to get the insights you need.

Learn how to work with data that comes from different sources and is structured in different ways by using Power BI transformations to combine, reshape, cleanse, and enhance that data to create a model that supports reporting and analytics.

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

Learn how to use Transact-SQL to insert, update, and delete data in a database.

Learn MongoDB with MongoDB Practical Masterclass course.

A data warehouse is a vital component of an enterprise analytics solution. It's important to learn how to monitor a data warehouse so you can better understand the activity that occurs in it.

Describe real-time analytics in Power BI using automatic page refresh, real-time dashboards, and auto-refresh in paginated reports.

This course will teach you to monitor query executions in Databricks SQL, and also regulate access to query objects. You will learn how to optimize query executions with caches, encrypt queries, and configure alerts based on query results.

In this course you will learn to use Monte Carlo simulations to better your decision making when dealing with uncertainty.

Learn how to build and interpret linear regression models with more than one predictor variable.

Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

Data normalisation transforms our data to make it more tractable for downstream applications. This course will teach you the skills of data normalization in Pandas needed to make any dataset usable for machine learning.