Data Analysis

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

This Learning Path navigates learners through real-world scenarios to cultivate problem-solving skills using the M language in Power Query.

This Learning Path delves into data analysis and modeling, focusing on Filter and Row Contexts for data computations, and the use of functions like SUM, SUMX, and Calculate.

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

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

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

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

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

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

Integrate ChatGPT into Excel using Macros and APIs to enhance your learning experience and maximize productivity.

An in depth overview of the entire Power BI suite, with a focus on using Power BI to extract compelling insights from your own data.

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

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

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

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

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

Develop complex Power BI solutions

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

Produce amazing insights including running custom scenarios on your raw data

Explore the relationship between correlation and causation

Implement your analytical skills in creating a report of the entire business operation from production to forecasting.

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

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 

Use the data documenter tool to create an effective report template 

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

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

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

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.

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