Business Analytics

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

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

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 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. 

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

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

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

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

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

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

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

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

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

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

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

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

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

Use Power Query/ M effectively to prepare data for analysis

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.

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

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

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 

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

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.