Business Analytics

This Learning Path delves into Power BI development, focusing on creating effective reports and visualizations. It covers parameter management, using PowerPoint and more!

This path is similar to the Data Analyst learning path above, but is geared to building a strong and broad foundation of data analysis skills, as compared to being more specifically focused on passing the PL 300 exam.

This Learning Path delves into data manipulation and analysis using SQL and DAX. It covers techniques and practical code examples.

This Learning Path delves into data analysis techniques, focusing on Power BI functions. It guides learners to enhance their data insight extraction skills.

This path is designed to help you become an expert in data visualization, data storytelling, and report design. You will learn how to create advanced custom visualizations using bespoke visualization languages.

This path is designed to build the broad range of expert-level knowledge necessary to confidently pass the PL-300 Data Analyst certification exam (replacement for DA-100).

This Learning Path provides a deep dive into Power BI and DAX, focusing on data analysis techniques and visualization. It equips learners with skills to craft dynamic visualizations.

This path is the most in-depth and rigorous on the list, designed to provide you expert-level skills in all of the key pillars of Power BI. 

Learn all about DAX calculations in Power BI. Learn introductory theory as well as how to put it into practice when developing Power BI models. 

This module discusses the different features of the Analyst Hub platform and the tips to maximize the use of tools to enhance Power BI development.

Implement advanced & practical analytical techniques inside of Power BI and find insights you never thought possible in an intuitive way

Create advanced analytical models by learning how to harness the power of DAX calculations for use within Power BI

Build a strong foundation on your MS Excel skills as you progress to advanced level

Become a better data storyteller by learning techniques to create reports that inspire and have an impact.

Master the ultimate tool for executing and analyzing DAX queries against various sources including Power BI and SSAS

Learn how to develop complete Power BI solutions that look compelling and deeply engage your consumers in your insights

Sam McKay talks to Paul Lucassen, one of our Enterprise DNA experts, about the role of geospatial data analytics in the transportation and logistics industry

Discover how to visualize, debug, validate and solve complex DAX problems using Excel

Build a comprehensive and compelling Power BI report within an hour from scratch!

Extracting Records has always been an important task for Excel users. In this session, you will learn how this task evolved

An incredible development technique and concept on creating dynamic Power BI reports.

The different admin roles related to Power BI

In this session, Ken will show you how he can build a complex Excel BI model leveraging Power Query and Power Pivot very quickly. 

Analyze data from marketing campaigns and initiatives, using visualization tools and statistical analysis techniques to identify trends and patterns, and use these insights to inform marketing strategy and decision-making.

Practice your data skills and learn from what is a typical scenario faced by many businesses in various industries

Provide a business solution by creating an intelligence tool to use by large opticians

Use the data documenter tool to create an effective report template 

Identify trends and patterns in a variety of factors that influence the cost of living in different regions around the world by using statistical analysis techniques and visualization tools.

Showcase a report that compares the trends of two different sets of data over time. The report will specifically highlight any divergences in the trends, allowing the reader to easily see any discrepancies in the data.

Create a summary report, a task that for many data analysts will always find its way across the desk every so often

Analyze the data of a large insurance company who are due to undergo an internal audit with regard to its complaint’s procedure