Data Strategy

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 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 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 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.

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

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

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

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

Streamline your data storage and sharing through advanced concepts on SharePoint List, Permissions and Social

Create stunning visualizations without advanced DAX knowledge

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

Learn the steps that an Enterprise BI team can take to implement application lifecycle management (ALM) in their Power BI environment

Learn to integrate a Power App with Power BI to create a user-friendly dynamic commenting system for your reports

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

Understand the difference between table functions and CALCULATE modifiers and how to use them correctly

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

See how with some planning and a strong framework you can speed up your development 5x

This lesson will show the easy and quick ways to get things done with Excel. Bob will show you a potpourri of tips & tricks not widely known.

Dynamic data labels at the end of the line

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.

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 report or dashboard to help management visualize what is happening on the new app

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.

Showcase a report that compares the trends of two different sets of data over time. The report will specifically highlight any divergences in the trends, allowing the reader to easily see any discrepancies in the data.

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

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.