Advanced Analytics

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

This path will provide you in-depth knowledge of the full range of Power BI best practices, with particular emphasis on building data models specifically optimized for Power BI.

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

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

Learn valid inference techniques for two-sample and two-variable data questions.

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

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

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

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

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

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

In this presentation, we would be developing a solution a simple solution to bulk rename files and folders in a folder.

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.

Learn how to create clear and consistent reports in Power BI

Develop complex Power BI solutions

Develop compelling dashboards within Power BI using a range of analytical and visualisation techniques

An overview on Azure ML and how to incorporate it with Power BI

Develop advanced Power BI analytical techniques

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

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

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.

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

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 by creating a report on transport and shipping data 

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