Data Analysis

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

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

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).

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

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. 

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

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

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

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

Discover the Langchain platform and learn how to build and deploy language models using its powerful tools and APIs. Explore custom training, fine-tuning, and deployment options.

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

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

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

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

Develop complex Power BI solutions

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

Learn how to combine queries to protect the fact tables in the tabular model

Create reusable, templatized offset measures to further simplify and speed DAX analyses

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

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

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

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

Produce insights for management level that can highlight any issues and prepare them for the audit

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

Use the data documenter tool to create an effective report template 

Practice your data skills and learn from what is a typical scenario faced by many businesses in various industries

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