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

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 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 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 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.

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

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

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

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.

This module discusses the different features of the Analyst Hub platform and the tips to maximize the use of tools to enhance Power BI development.

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

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

We will focus on the CRM Sales data and gain insights into the future revenue derived from a specific client set.

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

Discover sample DAX techniques that enhance business insights and explore DAX formulas to leverage conditional formatting options

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

Review discrete events with scenario applied

Incorporate multiple variables within function using List.Generate

Solve advanced analytical questions using Power BI

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

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.

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.

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

Use the data documenter tool to create an effective report template 

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.

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