Advanced Analytics

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

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 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 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 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 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 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.

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

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

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

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

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

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

Develop advanced Power BI analytical techniques

Learn a range of advanced techniques in Power BI using DAX

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

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

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

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

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

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.

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

Deep dive into the world of F1 and create an analysis of the drivers' stats

Create an analysis report on environmental data and potentially impact how this data is visualized and recorded

Challenge your data skills in creating an analysis report on substance

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

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

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.