Data Strategy

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 offers a deep dive into data management and analysis, emphasizing the hands-on use of Python and Scala languages for manipulating CSV and JSON files, and the application of SQL for data querying. 

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

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 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.

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 provide you the necessary skills to build full enterprise apps by integrating Power BI , Power Automate and Power Apps. 

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

The first of the two-part preparation course for the Microsoft's DP-500 Exam Certification

The second part of the preparation course for the Microsoft's DP-500 Exam Certification

Discover best practices and frameworks to create your own successful implementation of Power BI

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

Transform and automate business processes by integrating SharePoint with Power Automate and Power Apps to build workflows and customized forms

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

Create stunning visualizations without advanced DAX knowledge

Join a casual conversation with Sam and the Power BI Challenge Winner, Mudassir.

Learn how eDNA's new platform and tools empower fast and effective development

Create basic pipelines for data cleaning, visualization and modeling in R

Join a casual conversation with Sam and the Power BI Challenge Winner, Melissa.

Find out the most critical factors that can result in a long-term success or failure of most Power BI projects

Join a casual conversation with Sam and the Power BI Challenge Winner, Brian.

Learn what it takes to develop high quality Power BI & Power Platform reports

Learn beginner to advanced DAX function techniques

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.

Jump into this twitter related dataset and showcase some interesting insights based on the text of the tweet and the stock reference or tagged within the tweet itself.

Challenge your data skills by creating a report on transport and shipping data 

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

Deep dive into the world of F1 and create an analysis of the drivers' stats

Create a navigation experience that showcases your brand and keeps users coming back for more by prioritizing the user experience and considering the needs and preferences of your target audience.

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