Business Analytics

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

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

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 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.

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

Learn all about DAX calculations in Power BI. Learn introductory theory as well as how to put it into practice when developing Power BI models. 

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

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

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

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

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

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

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

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

Supply chain management involves the flow of goods and services.

Inventory insights deep dive

Learn how to use the Dataverse, Power Apps, Power Automate in Power BI

Learn how usability testing can reveal crucial usability information not revealed by A/B testing, focus groups, or surveys

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

Use the data documenter tool to create an effective report template 

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

Enhance your development skills by creating a supplier insights report

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.

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 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