Business Analytics

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 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. 

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 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 data analysis techniques, focusing on Power BI functions. It guides learners to enhance their data insight extraction skills.

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

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

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

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

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

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

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.

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

Analyze product sales for upsell opportunities

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

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

The session include function Let and how to declare and using parameters in Power Query and DAX

Real-life practical application of Power Apps to drive cost & time savings by enabling the operations team more proactive in handling the problems

Let's dive into historical oil drilling output globally and see how production has trended over time

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

Enhance your development skills by creating a supplier insights report

Use the data documenter tool to create an effective report template 

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

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

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.

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

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.