Business Analytics

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 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 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 path is the most in-depth and rigorous on the list, designed to provide you expert-level skills in all of the key pillars of 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 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 delves into data manipulation and analysis using SQL and DAX. It covers techniques and practical code examples.

Disclose the unexpected' by expertly incorporating geospatial data into your analyses and visualizations

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

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

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. 

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

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

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

Power BI Freestyle Session w/ Sam McKay

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

Discovering unique and valuable insights and solve advanced analytical questions using Power BI

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.

Learn simple yet effective techniques which can be used by anyone in your organization to discover valuable insights from their data sets

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

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

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.

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

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

Use the data documenter tool to create an effective report template 

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

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.

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.