Business Analytics

This path will provide you in-depth knowledge of the full range of Power BI best practices, with particular emphasis on building data models specifically optimized for Power BI.

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

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 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 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.

Build a strong foundation on your MS Excel skills as you progress to advanced level

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

Become a better data storyteller by learning techniques to create reports that inspire and have an impact.

Implement advanced & practical analytical techniques inside of Power BI and find insights you never thought possible in an intuitive way

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

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

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.

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

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

Power BI Freestyle Session w/ Sam McKay

Learn necessary elements to resolve granularities mismatches in different ways

The different admin roles related to Power BI

Analyze product sales for upsell opportunities

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

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

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

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

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.

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

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

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.

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.