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 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 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 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 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 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 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

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

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

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

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

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

Use Power Query/ M effectively to prepare data for analysis

Use DAX ranking techniques in your analysis

In this sessions we will start from what you need to know about Azure AD in relation to Azure data services.

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

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

Learn necessary elements to resolve granularities mismatches in different ways

Discover how to visualize, debug, validate and solve complex DAX problems using Excel

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

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.

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.

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

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

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

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.