Data Visualization

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 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 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 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.

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 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 build the broad range of expert-level knowledge necessary to confidently pass the PL-300 Data Analyst certification exam (replacement for DA-100).

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

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.

Build a solid foundation in using Power BI.

Create stunning visualizations without advanced DAX knowledge

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.

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

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

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 how you can create, share, and deploy applications and streamline processes across your organization using PowerApps and Power Automate

Create GIFs with a screen recording tool and convert them into a DAX measure

Discover how to add formatting tricks to visuals using DAX expressions

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

Learn how to developed compelling dashboards within Power BI using a range of analytical and visualisation techniques

See how to build a report with the native visuals that come with Power BI and make them look good.

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.

Challenge your data skills by producing a report that gives the user the ability to select a currency and see the associated sales and cost

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

Create a report summary of the overall services provided by a Call Centre for its management

Analyze the data of a large insurance company who are due to undergo an internal audit with regard to its complaint’s procedure

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

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

Take on the challenge of creating an analysis report on hotels revenue management 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