Business Analytics

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

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 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 build the broad range of expert-level knowledge necessary to confidently pass the PL-300 Data Analyst certification exam (replacement for DA-100).

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 Power BI development, focusing on creating effective reports and visualizations. It covers parameter management, using PowerPoint and more!

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

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

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

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

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. 

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

Learn how to develop complete Power BI solutions that look compelling and deeply engage your consumers in your insights

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

Perform dynamic analysis of data through context transition in DAX

Learn the 10 different elements in building a data-oriented career

In this sessions we will start from what you need to know about Azure AD in relation to Azure data services.

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.

Combining the power of the data model with high level analysis

Learn how usability testing can reveal crucial usability information not revealed by A/B testing, focus groups, or surveys

Supply chain management involves the flow of goods and services.

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

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.

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.

Enhance your development skills by creating a supplier insights report

Use the data documenter tool to create an effective report template 

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

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.

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