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

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

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 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 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 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.

Unlock the power of data analysis and visualization with PandasAI, and transform raw data into actionable insights that drive decision-making and growth.

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

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

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.

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

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

Covers the use of quick measures and the features

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

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

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.

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

Join a casual conversation with Sam and the Power BI Challenge Winner, Brian.

Learn a range of advanced techniques in Power BI using DAX

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

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.

Enhance your development skills by creating a supplier insights report

Use the data documenter tool to create an effective report template 

Challenge your data skills in creating an analysis report on substance

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.