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

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

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 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 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.

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

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.

Review some of the best practices to refine your Power BI development skills

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

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

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

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

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

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

Create reusable, templatized offset measures to further simplify and speed DAX analyses

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

Implement selected design techniques and chat formatting options to enhance overall user experience (UX)

Learn the steps on how to collaboratively design a star schema with your business users and ensure that the schema meets the needs of the organization

Use Power Query/ M effectively to prepare data for analysis

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

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.

Use the data documenter tool to create an effective report template 

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.

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

Enhance your development skills by creating a supplier insights report

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

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.

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