Data Visualization

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 Learning Path enables individuals to proficiently use Power BI and other Power Platform tools. It prepares business analysts for the PL-900 exam.

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 designed to help you build expert level skills in the implementation, monitoring and governance of Power BI, including making optimal use of the Service through dataflows, datasets, thin reports, etc.

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 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 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.

An in depth overview of the entire Power BI suite, with a focus on using Power BI to extract compelling insights from your own data.

Build a solid foundation in using Power BI.

Deep dive into creating your own reusable custom visuals using Microsoft's Charticulator tool

Discover the key to unlocking insights and making informed decisions through data.

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

Discover how to utilize ChatGPT within Power BI for enhanced data analysis, reporting, and interactive dashboards. Learn how to integrate ChatGPT into Power BI to create dynamic and conversational visualizations.

Create any custom visualization using the well-established Vega languages for interactive graphic

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

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

In this session, we'll look at easy techniques to make your charts more effective and easier to understand, no matter if they are in Excel or PowerPoint.

Showcase the best techniques around bookmarks, tooltips, selections, drillthrough & theming

Showcase how to implement an SCD Type 2 using Power Query to allow a full historical analysis of a specific dimension

Stop wasting your valuable time in building or deciphering confusing visualizations and increase your insight

Perform dynamic analysis of data through context transition in DAX

Learn the whole process from getting data, creating a data model with a date table, measure table and calculation groups

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

Analyze the data of a medical emergency response service and discover opportunities for improvement on their process

Implement your analytical skills in creating a report of the entire business operation from production to forecasting.

Challenge your data skills in creating an analysis report on substance

Produce insights for management level that can highlight any issues and prepare them for the audit

Work on one of the most significant measures for manufacturing productivity - OEE

An excellent opportunity for you to create a one-page data report for Covid-19 analysis

Take a deep dive into the world of utilisation and timesheet data

Create an analysis report on environmental data and potentially impact how this data is visualized and recorded

A “cheat sheet” can be useful. We hereby present a “cheat sheet” for Deneb and Vega-Lite that contains several small sections with context and code snippets