Advanced Analytics

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

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 offers a comprehensive journey through data visualization and analysis techniques, with a special emphasis on Power BI.

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

Unlock the power of data analysis and visualization with PandasAI, and transform raw data into actionable insights that drive decision-making and growth.

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

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

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

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

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

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

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

In this presentation, you will learn the new LAMBDA function in Excel. How to use this to simplify functions that do not currently exist. 

Expert walk-through of week #1 solution with Sam McKay and Brian Julius

Learn beginner to advanced DAX function techniques

Discover advanced data modeling and DAX techniques to speed up DAX query execution

Relationship best practices in Power BI

The session include function Let and how to declare and using parameters in Power Query and DAX

Challenge your data skills in creating an analysis report on substance

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

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

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

Enhance your development skills by creating a supplier insights report

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

Use the data documenter tool to create an effective report template 

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

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