Business Analytics

This path is designed to provide you the necessary skills to build full enterprise apps by integrating Power BI , Power Automate and Power Apps. 

This path is designed to help you build expert level skills in the implementation, monitoring and governance of Power BI, including making optimal use of the Service through dataflows, datasets, thin reports, etc.

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. 

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 path is focused on developing expert level skills in data cleaning, data transformation and data modeling. You will learn to maximize the capabilities of the Power Query UI, and also write M code.

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

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

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

Disclose the unexpected' by expertly incorporating geospatial data into your analyses and visualizations

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. 

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

Advanced course using Power BI & DAX to solve complex but common business problems and scenarios you'll face everyday

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

In just a few short years, Power BI has come from nowhere to become the business intelligence software of choice. This brief overview addresses the way forward for financial modeling. 

Learn how simple resources can generate amazing results in the charts, applicable to any analysis.

On this session, Cristiano Galvao MVP will cover the impact of recent changes in Excel that unleash the power of formulas. 

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

Join a casual conversation with Sam and the Power BI Challenge Winner, Greg.

Supply chain management involves the flow of goods and services.

Use Power Query/ M effectively to prepare data for analysis

Challenge yourself to produce a report which gives HR insight into the consultation process. 

Show off your impressive financial report! We are confident that your financial report is a testament to your skills and expertise. We would love to see how you've structured it and how you've made it visually appealing.

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

An opportunity to design and build a report that gives insights into customer behavior

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.

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.

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

Use the data documenter tool to create an effective report template