Advanced Analytics

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 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 offers a deep dive into data management and analysis, emphasizing the hands-on use of Python and Scala languages for manipulating CSV and JSON files, and the application of SQL for data querying. 

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 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 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 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 offers a comprehensive journey through advanced data analysis and modeling techniques all illustrated through practical scenarios.

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

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

Advanced course using Power BI & DAX to solve complex but common business problems and scenarios you'll face everyday

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

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

The first of the two-part preparation course for the Microsoft's DP-500 Exam Certification

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

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

In this session, Celia will reveal her top list of Excel skills and features needed to automate the most common Excel reporting procedures.

Learn about the three fundamental rules that should guide your decision on choosing the correct type of chart

Boost your productivity and performance by mastering Microsoft’s latest technology updates

Learn the best practices for transforming data in the query editor

Data story telling is an important part of the report development process. It changes the way the audience views reports.

Discovering unique and valuable insights and solve advanced analytical questions using Power BI

Develop complex Power BI solutions

On this session, Cristiano Galvao MVP will cover the impact of recent changes in Excel that unleash the power of formulas. 

Use the data documenter tool to create an effective report template 

Deep dive into the world of F1 and create an analysis of the drivers' stats

Jump into this twitter related dataset and showcase some interesting insights based on the text of the tweet and the stock reference or tagged within the tweet itself.

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

Enhance your development skills by creating a supplier insights report

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

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

Challenge your data skills in creating an analysis report on substance

This Excel formulas cheat sheet covers advanced forecasting formulas, statistical analysis, data manipulation functions, error handling, and more.