Business Analytics

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

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

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 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.

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

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. 

Advanced course using Power BI & DAX to solve complex but common business problems and scenarios you'll face everyday

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

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.

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

Implement advanced & practical analytical techniques inside of Power BI and find insights you never thought possible in an intuitive 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 some creative Row-Level-Security techniques effectively and learn how to dynamically anonymize data

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

Learn how to leverage the Power Platform to bring your Apps to the next level, based on the real business case

Extracting Records has always been an important task for Excel users. In this session, you will learn how this task evolved

Learn many techniques for effective reporting around marketing & advertising campaigns effectiveness within Power BI.

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

On this session, Cristiano Galvao MVP will cover the impact of recent changes in Excel that unleash the power of formulas. 

Use the data documenter tool to create an effective report template 

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

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.

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

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

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.

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