Advanced Analytics

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 delves into data analysis techniques, focusing on Power BI functions. It guides learners to enhance their data insight extraction skills.

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

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 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.

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

Level up your SQL query fluency even without prior SQL experience.

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

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

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

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

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

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

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

Boost your productivity and performance by mastering Microsoft’s latest technology updates

Learn how to create clear and consistent reports in Power BI

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

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

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.

Create compelling Power BI market reports

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

Enhance your development skills by creating a supplier insights report

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 

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

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

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

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

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