Data Transformation

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

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.

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

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

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

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.

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

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

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

Know how to get DAX Query data from Power BI Desktop without having to write it yourself

Learn how to build external tools for Power BI. The highlights of what you need to do, what you need to be thinking about in terms of creating an external tool for Power BI

Use PDF conversion tools to disassemble and assemble tables within PDF documents

Why No-Code and Standardized Visualizations are the Future in Data Analytics and Visualizations

Find out how Sidekick can help to review, optimize & cleanup your dataset and reports

Learn how to use other data sources to filter and/or colorize individual objects of a 3D model in Power BI

Learn how to use Python to accomplish different outputs inside Power BI.

See the Deneb custom visual for Power BI in-action with start-to-finish development of a bullet chart, a ring chart, and linked charts in Deneb/Vega-Lite

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

Challenge your data skills in creating an analysis report on substance

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

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

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

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

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

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

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!

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