Data Transformation

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 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 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 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 Learning Path navigates learners through real-world scenarios to cultivate problem-solving skills using the M language in Power Query.

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.

Get familiar with structured values in the M language and discover how to interact with them.

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

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.

Acquire an extensive knowledge and understanding of the Power Query and M language to help you easily transform your data from multiple sources into Power BI

Expand Power BI's capabilities in accessing a wide range of data using APIs

Expand your Power BI report by integrating it with Power Platform applications to incorporate capabilities above and beyond just reporting on insights.

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.

Learn how to clean, optimize and model data tables to develop effective, insightful and actionable Power BI reports

Discover how to add, view, edit, delete data from Microsoft Dataverse

This session will cover which Python and R packages and examples can facilitate functionalities found in Power BI

Learning how to use SELECT, FROM, WHERE, GROUP BY, HAVING, ORDER BY

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

Learn necessary elements to resolve granularities mismatches in different ways

Expert Lightning Round

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

Discover the key points around OEE and producing a technically sound report

Challenge your data skills in creating an analysis report on substance

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

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

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

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

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

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

Analyze Enterprise DNA's Youtube Channel Data to understand its audience and create a strategy to drive more channel engagement.

This offers techniques to retrieve and manipulate data based on specific row indexes or key matches, enhancing the flexibility and precision of data analysis.

This SQL cheat sheet gives you the most common SQL objects and commands, including data types, DML and DDL statements, aggregate functions, string and date functions, and subqueries.

When programming in Python, having a reliable cheat sheet by your side can be a game-changer. Python may be known for its simplicity and readability, but there’s no denying that its extensive range of features and functionalities is too much to memorize!