Advanced Analytics

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 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 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 path is designed to build the broad range of expert-level knowledge necessary to confidently pass the PL-300 Data Analyst certification exam (replacement for DA-100).

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 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 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 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.

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

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

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

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

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

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

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

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

Take a deep dive in pivot tables with Bill Jelen from MrExcel. Learn awesome pivot table techniques in both pivot cache pivot tables and data model pivot tables.

Master complex data model techniques especially when running forecasting analysis

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

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

Showcase the best techniques around bookmarks, tooltips, selections, drillthrough & theming

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

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

Covers the use of quick measures and the features

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

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

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

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.

Use the data documenter tool to create an effective report template 

Challenge your data skills in creating an analysis report on substance

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