Business Analytics

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

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

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.

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

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.

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

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

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

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

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

Unlock the power of data analysis and visualization with PandasAI, and transform raw data into actionable insights that drive decision-making and growth.

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

Combining the power of the data model with high level 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.

Analyze product sales for upsell opportunities

Learn how to use the Dataverse, Power Apps, Power Automate in Power BI

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

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

Learn how these many functions can be applied to your own data sets, to enable you to extract the insights you require very fast

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

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

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

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.

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

Enhance your development skills by creating a supplier insights report

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.