Data Strategy

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 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. 

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 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 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 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.

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

This module discusses the different features of the Analyst Hub platform and the tips to maximize the use of tools to enhance Power BI development.

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

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

Create any custom visualization using the well-established Vega languages for interactive graphic

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

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

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

Uncover practical methods of improving layout design and report navigation

Find out the most critical factors that can result in a long-term success or failure of most Power BI projects

Know the techniques in creating indexes and how to loop efficiently using DAX

Simple and effective dashboarding techniques

Expert walk-through of week #1 solution with Sam McKay and Brian Julius

It  provides visibility to a wide range of insights to the performance of a typical call centre operation.

Learn what it takes to develop high quality Power BI & Power Platform reports

Advanced Tooltip Techniques

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.

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.

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

Challenge yourself to produce a report which gives HR insight into the consultation process. 

An opportunity to design and build a report that gives insights into customer behavior

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.

Analyze the data of a medical emergency response service and discover opportunities for improvement on their process