Business Analytics

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

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

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.

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

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

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. 

A detailed step-by-step process of creating high-quality Power BI reports that satisfy the requirements of real-world scenarios

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

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

Learn advanced scenario analysis techniques and enhance your related distinct counts

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

Know the the importance on reading about data visualization theory and the benefits of Zebra BI visuals for Power BI reports

Use DAX ranking techniques in your analysis

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

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

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.

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

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

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.

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.

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

Use the data documenter tool to create an effective report template 

Enhance your development skills by creating a supplier insights report