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

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

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

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

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

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

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

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

Learn how to transfer your knowledge of SQL to DAX and vice versa

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

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

Learn how to combine queries to protect the fact tables in the tabular model

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

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

Learn how to swap or rotate fields around in a visual and how to implement complex slicer interactions using field parameters

Use Power Query/ M effectively to prepare data for analysis

Learn a range of advanced techniques in Power BI using DAX

Enhance your development skills by creating a supplier insights report

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

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

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

Use the data documenter tool to create an effective report template 

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.

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.