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 in statistical analysis and inference equips learners with practical skills to conduct tests, estimate sample sizes, and understand test assumptions. 

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 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 provides a thorough understanding of SQL, emphasizing key commands for data manipulation and querying. 

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.

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.

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

Master the ultimate tool for executing and analyzing DAX queries against various sources including Power BI and SSAS

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

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

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

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

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.

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

Learn how to build scalable Power Platform solutions to implement robust business processes from the world's global experts.

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

Relationship best practices in Power BI

Learn a range of advanced techniques in Power BI using DAX

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

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

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

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

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.

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

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

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

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