Business Analytics

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 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 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 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 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 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.

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

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.

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

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

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

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

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

Check the Replays of the Feb 2022 Analytics Summit Event for Analysts, Excel Users, Database Professionals, Data Enthusiasts and more.

The different admin roles related to Power BI

Showcase how to implement an SCD Type 2 using Power Query to allow a full historical analysis of a specific dimension

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

It  provides visibility to a wide range of insights to the performance of a typical call centre operation.

Power BI Freestyle Session w/ Sam McKay

Review a number of techniques specifically around developing high quality reporting solutions in Power BI.

Enhance your development skills by creating a supplier insights report

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

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.

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

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

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