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 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 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 Learning Path provides a deep dive into Power BI and DAX, focusing on data analysis techniques and visualization. It equips learners with skills to craft dynamic visualizations.

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 build the broad range of expert-level knowledge necessary to confidently pass the PL-300 Data Analyst certification exam (replacement for DA-100).

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 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.

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

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

Dramatically enhance Power BI's capabilities by incorporating Python's flexible and powerful data wrangling, data analysis and data visualization functionality

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

Amplify your Power BI visualizations with R's comprehensive statistical analysis and graphics language

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

Master key data modeling and DAX concepts and techniques to optimize performance in Power BI

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.

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

Incorporate multiple variables within function using List.Generate

Showcase the best practice techniques how the winning entry was built.

One of the break-out session in our Reporting & Data Visualization Summit, showcasing a variety of beginner to advanced Power BI tips and techniques.

Short overview of Deneb's capabilities

How to setup a professional interface in Power BI and create an interactive KPI’s using Base64 image code.

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

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

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

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

Use the data documenter tool to create an effective report template 

Develop an analysis report about the Football/Soccer Players Summer Transfers Season 2022-23

Work on one of the most significant measures for manufacturing productivity - OEE

Create a report summary of the overall services provided by a Call Centre for its management

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 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