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

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

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.

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

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

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

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

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

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

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

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

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

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

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

In this session, Celia will reveal her top list of Excel skills and features needed to automate the most common Excel reporting procedures.

This session will cover which Python and R packages and examples can facilitate functionalities found in Power BI

In this session, you will learn how to manage Banking Transactions Directly Through Your Excel-VBA model

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

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

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

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

Challenge your data skills in creating an analysis report on substance

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

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

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.