Advanced Analytics

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 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 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 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 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 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 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 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.

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

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

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

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

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

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.

Dramatically enhance Power BI's capabilities by incorporating Python's flexible and powerful data wrangling, data analysis and data visualization functionality

In this presentation, you will learn the new LAMBDA function in Excel. How to use this to simplify functions that do not currently exist. 

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.

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

Discover various Data Time Manipulation techniques in SQL

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

Create compelling Power BI market reports

Master complex data model techniques especially when running forecasting analysis

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

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

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

Enhance your development skills by creating a supplier insights report

Use the data documenter tool to create an effective report template 

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.