Data Analysis

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 Learning Path delves into data analysis and visualization using both R and Python, covering data cleaning, data frames, and the use of packages like dplyr, tidyverse, skim R, and seaborn. It offers hands-on examples, such as creating various plots, performing group-based operations, and utilizing descriptive statistics for effective data interpretation.

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 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 enables individuals to proficiently use Power BI and other Power Platform tools. It prepares business analysts for the PL-900 exam.

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

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.

Discover the key to unlocking insights and making informed decisions through data.

Learn how to predict and optimize for results in the future, by utilizing 'what if' parameters and scenario analysis techniques

Master the most powerful tool for data modeling and DAX calculations in Power BI and Analysis Services

Learn valid inference techniques for two-sample and two-variable data questions.

Level up your SQL query fluency even without prior SQL experience.

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. 

Clean data and perform Natural Language Processing through Python's functions, algorithms and programming methods

Ace the Microsoft Power Platform (PL-900) Certification exam with our complete training guide

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

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

Learn what sells well together and analyze product sales for upsell opportunities and

Know the the importance on reading about data visualization theory and the benefits of Zebra BI visuals for Power BI reports

Learn how the improved user experience in Power BI has made it easier to create and manage complex calculations

Use DAX ranking techniques in your analysis

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 

Create a summary report, a task that for many data analysts will always find its way across the desk every so often

Provide a business solution by creating an intelligence tool to use by large opticians

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

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.

An excellent opportunity for you to create a one-page data report for Covid-19 analysis

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. 

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

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!

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.