Business Analytics

This Learning Path delves into data manipulation and analysis using SQL and DAX. It covers techniques and practical code examples.

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 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 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 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 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.

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.

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

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

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

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

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

Learn necessary elements to resolve granularities mismatches in different ways

Develop advanced Power BI analytical techniques

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

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

Learn how these many functions can be applied to your own data sets, to enable you to extract the insights you require very fast

An overview on Azure ML and how to incorporate it with Power BI

Review discrete events with scenario applied

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.

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.

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

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 

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