Data Analysis

This path will provide you in-depth knowledge of the full range of Power BI best practices, with particular emphasis on building data models specifically optimized for Power BI.

This Learning Path delves into data manipulation and analysis using SQL and DAX. It covers techniques and practical code examples.

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

This Learning Path in statistical analysis and inference equips learners with practical skills to conduct tests, estimate sample sizes, and understand test assumptions. 

This learning path provides a thorough understanding of SQL, emphasizing key commands for data manipulation and querying. 

This Learning Path delves into Power BI development, focusing on creating effective reports and visualizations. It covers parameter management, using PowerPoint and more!

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.

Learn all about DAX calculations in Power BI. Learn introductory theory as well as how to put it into practice when developing Power BI models. 

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

Review some of the best practices to refine your Power BI development skills

Implement advanced & practical analytical techniques inside of Power BI and find insights you never thought possible in an intuitive way

Enhance your Power BI reports and analysis with R's visualization, text analysis and statistical modeling capabilities.

Prepare for PL-300: Microsoft Power BI Data Analyst Exam to earn the Power BI  Data Analyst Associate certification

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

A practical guide to recognizing, understanding, and managing uncertainty in data 

Listen as Sam McKay talks to Shiv Misra on why companies need to have an appetite for change and embrace data analytics

Listen as Jarrett Moore talks to Sam McKay on how he scaled a data analytics system for his own company and built a separate data product on top of it

Join Sam McKay and Anuj Kapoor as they talk about how data analytics is helping the healthcare industry save lives. Anuj also discusses the importance of establishing a problem statement and having quality data to work with

What’s the future of ChatGPT and its integration with MS tools

Learn key principles from user experience and design and how to thoughtfully integrate them into your data viz workflow.

Discover sample DAX techniques that enhance business insights and explore DAX formulas to leverage conditional formatting options

Incorporate multiple variables within function using List.Generate

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 your data skills by producing a report that gives the user the ability to select a currency and see the associated sales and cost

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

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

Analyze Enterprise DNA's Youtube Channel Data to understand its audience and create a strategy to drive more channel engagement.

Take a deep dive into the world of utilisation and timesheet data

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

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

This guide is here to simplify your journey with Excel, offering you the key tools, shortcuts, and techniques at your fingertips, so make sure to save it for future reference. 

The Microsoft DP-500 exam, formally titled “Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI,” is designed to test your knowledge and skills in using the Azure environment and Power BI for advanced data analytics tasks.

A NumPy cheat sheet can be an excellent resource to help guide your journey into this Python library. A comprehensive cheat sheet will help you navigate NumPy’s features and quickly become proficient in using it for various tasks!

This Microsoft Excel intermediate cheat sheet covers a wide range of topics that will level up your skills in numerical analysis, text processing, and complex date and time logic