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 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 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 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 data visualization and analysis techniques, with a special emphasis on Power BI.

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

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. 

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

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

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

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

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

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

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

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

Identify trends in sales and customer behavior and assess the performance of different stores or regions using the LFL Analysis in Retail

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

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

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

What should you consider when putting your carefully-researched data together for an audience? Get the tips for using the right tools for each job.

Dynamic data labels at the end of the line

Learn how to create clear and consistent reports in Power BI

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.

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

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.

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

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

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

Use the data documenter tool to create an effective report template 

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