Data Transformation

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

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 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 Learning Path dives into SharePoint and Power Apps, focusing on leveraging Power Automate for task automation and improved user interaction. 

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.

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

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

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

Data Transformation with AI is an immersive course that delves into the world of Data Science and Artificial Intelligence. You'll gain essential knowledge and skills to harness the power of data and build intelligent systems. Topics include data analysis, machine learning, deep learning, and ethical AI considerations, making this course suitable for beginners and those seeking to advance their expertise.

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.

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

Critical thinking to improve problem solving and decision making

Transfer your Excel skills into Power BI seamlessly.

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

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

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

Learn necessary elements to resolve granularities mismatches in different ways

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

Explore structured columns containing Lists, Records or Tables

Challenge your data skills in creating an analysis report on substance

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

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

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

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

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

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.