Advanced Analytics

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

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 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 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 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 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 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.

Master the most powerful tool for data modeling and DAX calculations in Power BI and Analysis Services

Enhance your Power BI reports and analysis with R's visualization, text analysis and statistical modeling capabilities.

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

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.

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

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

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

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

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

Master complex data model techniques especially when running forecasting analysis

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.

Relationship best practices in Power BI

Dynamic data labels at the end of the line

Discover advanced data modeling and DAX techniques to speed up DAX query execution

Data story telling is an important part of the report development process. It changes the way the audience views reports.

Challenge your data skills in creating an analysis report on substance

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

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

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

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

Use the data documenter tool to create an effective report template 

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

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