Advanced Analytics

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

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

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

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

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

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

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

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

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

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

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

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

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

Relationship best practices in Power BI

Learn how simple resources can generate amazing results in the charts, applicable to any analysis.

Let's go beyond the thrills and glamour of Excel tricks. This session explores the dark side--the sexy features in Excel that can burn your fingers if you're not careful.

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

Using visual layering and transparency masks to improve data storytelling Advanced tricks for conditional formatting icons

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

Use the data documenter tool to create an effective report template 

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

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

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

Challenge your data skills in creating an analysis report on substance

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

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.

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