Data Transformation

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

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

This Learning Path offers a comprehensive journey through data visualization and analysis techniques, with a special emphasis on Power BI.

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 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. 

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.

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

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

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

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

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

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

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.

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

Learn necessary elements to resolve granularities mismatches in different ways

Learn the best practices for transforming data in the query editor

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

Using in-built standard Excel tools, we will explore how to reduce uncertainty in decision-making with sensitivity and scenario analysis

Explore the incredible impact of Artificial Intelligence (AI) on the field of data professionals.

Explore structured columns containing Lists, Records or Tables

Understand the overview of the new DAX functions – OFFSET, INDEX, WINDOW, EVALUATEANDLOG, TOJSON and TOCSV

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

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

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

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

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

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

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

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.

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.