Advanced Analytics

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

This path is designed to build the broad range of expert-level knowledge necessary to confidently pass the PL-300 Data Analyst certification exam (replacement for DA-100).

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

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 offers a comprehensive journey through data visualization and analysis techniques, with a special emphasis on 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 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.

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

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

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

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

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

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

Implement advanced & practical analytical techniques inside of Power BI and find insights you never thought possible in an intuitive way

A practical guide to recognizing, understanding, and managing uncertainty in data 

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.

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

Develop complex Power BI solutions

Learn how to create clear and consistent reports in Power BI

Learn the best practices for transforming data in the query editor

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

Showcase the best techniques around bookmarks, tooltips, selections, drillthrough & theming

Illustrate key techniques in Power Query/M by working through the Challenges

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

Challenge your data skills in creating an analysis report on substance

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

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

Use the data documenter tool to create an effective report template 

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

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.