Advanced Analytics

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

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 Learning Path delves into Power BI development, focusing on creating effective reports and visualizations. It covers parameter management, using PowerPoint and more!

This Learning Path offers a comprehensive journey through advanced data analysis and modeling techniques all illustrated through practical scenarios.

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 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 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. 

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

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

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

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

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

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

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

Covers the use of quick measures and the features

Discover various Data Time Manipulation techniques in SQL

Dynamic data labels at the end of the line

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

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

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.

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

Challenge your data skills in creating an analysis report on substance

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

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

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

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 

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