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

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

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 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 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 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.

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

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

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

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

Unlock the power of data analysis and visualization with PandasAI, and transform raw data into actionable insights that drive decision-making and growth.

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 transfer your knowledge of SQL to DAX and vice versa

Learn the basics of SharePoint to increase productivity and collaboration, organize your data, and automate business processes

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 a range of advanced techniques in Power BI using DAX

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

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

Solve advanced analytical questions using Power BI

Develop advanced Power BI analytical techniques

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

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

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.

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

Use the data documenter tool to create an effective report template 

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.

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