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

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

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 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 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. 

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

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

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

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 

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

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

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

Learn the best practices for transforming data in the query editor

Develop complex Power BI solutions

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

Develop advanced Power BI analytical techniques

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 session, you will learn how to manage Banking Transactions Directly Through Your Excel-VBA model

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

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

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.

Challenge your data skills in creating an analysis report on substance

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

Enhance your development skills by creating a supplier insights report

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

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