Business Analytics

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 designed to help you harness the full power of Power BI in combination with R and Python. You will learn how to conduct advanced analyses and gain insight into complex business questions.

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

This path will provide you in-depth knowledge of the full range of Power BI best practices, with particular emphasis on building data models specifically optimized for Power BI.

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 Learning Path delves into data analysis and modeling, focusing on Filter and Row Contexts for data computations, and the use of functions like SUM, SUMX, and Calculate.

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.

Learn how to predict and optimize for results in the future, by utilizing 'what if' parameters and scenario analysis techniques

Learn the basics of SharePoint to increase productivity and collaboration, organize your data, and automate business processes

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.

A detailed step-by-step process of creating high-quality Power BI reports that satisfy the requirements of real-world scenarios

Create comprehensive financial reports in Power BI that represent key insights in a compelling and dynamic way

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

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. 

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

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

Real-life practical application of Power Apps to drive cost & time savings by enabling the operations team more proactive in handling the problems

Supply chain management involves the flow of goods and services.

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

Use DAX ranking techniques in your analysis

What should you consider when putting your carefully-researched data together for an audience? Get the tips for using the right tools for each job.

Perform dynamic analysis of data through context transition in DAX

Discovering unique and valuable insights and solve advanced analytical questions using Power BI

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

Use the data documenter tool to create an effective report template 

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

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.

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

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

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