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 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 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 manipulation and analysis using SQL and DAX. It covers techniques and practical code examples.

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

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

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

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.

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

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

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

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

Discover how to visualize, debug, validate and solve complex DAX problems using Excel

Focus on financial reporting techniques in Power BI. We will be building a PnL statement from scratch, utilizing all the key features of Power BI.

Inventory insights deep dive

In this session, Ken will show you how he can build a complex Excel BI model leveraging Power Query and Power Pivot very quickly. 

Boost your productivity and performance by mastering Microsoft’s latest technology updates

In just a few short years, Power BI has come from nowhere to become the business intelligence software of choice. This brief overview addresses the way forward for financial modeling. 

Use DAX ranking techniques in your analysis

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

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

Use the data documenter tool to create an effective report template 

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.

Enhance your development skills by creating a supplier insights report

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

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.