Data Strategy

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

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 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 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.

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

Create stunning visualizations without advanced DAX knowledge

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

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.

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

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

Deep dive into creating your own reusable custom visuals using Microsoft's Charticulator tool

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

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

Master the Row Level Security, Report Security, Workspace & App Security, Object Level Security and Internal & External Sharing

Discover specific cleaning and modeling techniques to ensure data accuracy and reliability

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

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

Simple and effective dashboarding techniques

In this session, we will look at the online tools available inside Office 365 to automate our Excel processes.

Your data is only as valuable as the result you can extract from it. You will leave this session empowered and excited to take your data to the next level. 

Show off your impressive financial report! We are confident that your financial report is a testament to your skills and expertise. We would love to see how you've structured it and how you've made it visually appealing.

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.

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

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

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.

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

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.

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