Advanced Analytics

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 modeling, focusing on Filter and Row Contexts for data computations, and the use of functions like SUM, SUMX, and Calculate.

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

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 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 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 delves into data analysis techniques, focusing on Power BI functions. It guides learners to enhance their data insight extraction skills.

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

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

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

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

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

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

Amplify your Power BI visualizations with R's comprehensive statistical analysis and graphics language

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

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

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

Identify trends in sales and customer behavior and assess the performance of different stores or regions using the LFL Analysis in Retail

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

Learn how to build scalable Power Platform solutions to implement robust business processes from the world's global experts.

Create compelling Power BI market reports

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

Learn how to create clear and consistent reports in Power BI

Challenge your data skills in creating an analysis report on substance

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

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

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.

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

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

Enhance your development skills by creating a supplier insights report

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