Advanced Analytics

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

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

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 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.

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

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

Create advanced analytical models by learning how to harness the power of DAX calculations for use within Power BI

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

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

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

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.

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

Create advanced analytical models by learning how to harness the power of DAX calculations for use within 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 compelling Power BI market reports

Using visual layering and transparency masks to improve data storytelling Advanced tricks for conditional formatting icons

Learn the best practices for transforming data in the query editor

On this session, Cristiano Galvao MVP will cover the impact of recent changes in Excel that unleash the power of formulas. 

Dynamic data labels at the end of the line

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

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

Use the data documenter tool to create an effective report template 

Enhance your development skills by creating a supplier insights report

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

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

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.