Advanced Analytics

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

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

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 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.

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

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

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

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

Improve the overall performance of your DAX measures using the DAX Studio

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

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

Enhance your Power BI reports and analysis with R's visualization, text analysis and statistical modeling capabilities.

Develop complex Power BI solutions

In this sessions we will start from what you need to know about Azure AD in relation to Azure data services.

Check the Replays of the Feb 2022 Analytics Summit Event for Analysts, Excel Users, Database Professionals, Data Enthusiasts and more.

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

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

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

Develop advanced Power BI analytical techniques

In this presentation, we would be developing a solution a simple solution to bulk rename files and folders in a folder.

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

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

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

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

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