Advanced Analytics

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

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

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

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

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

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

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

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

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

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

Learn the best practices for transforming data in the query editor

Take a deep dive in pivot tables with Bill Jelen from MrExcel. Learn awesome pivot table techniques in both pivot cache pivot tables and data model pivot tables.

Learn how to create clear and consistent reports in Power BI

Learn how simple resources can generate amazing results in the charts, applicable to any analysis.

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

Develop complex Power BI solutions

Boost your productivity and performance by mastering Microsoft’s latest technology updates

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

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

Enhance your development skills by creating a supplier insights report

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

Challenge your data skills in creating an analysis report on substance

Take a deep dive into the world of utilisation and timesheet 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 

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