Business Analytics

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 designed to provide you the necessary skills to build full enterprise apps by integrating Power BI , Power Automate and Power Apps. 

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 and modeling, focusing on Filter and Row Contexts for data computations, and the use of functions like SUM, SUMX, and Calculate.

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

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.

Learn how to predict and optimize for results in the future, by utilizing 'what if' parameters and scenario analysis techniques

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

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.

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

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

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

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

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

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

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

Perform dynamic analysis of data through context transition in DAX

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

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. 

Learn advanced scenario analysis techniques and enhance your related distinct counts

Learn how to clean, optimize and model data tables to develop effective, insightful and actionable Power BI reports

Learn necessary elements to resolve granularities mismatches in different ways

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

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

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

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

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

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.

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.