Advanced Analytics

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 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 will provide you in-depth knowledge of the full range of Power BI best practices, with particular emphasis on building data models specifically optimized for Power BI.

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

This Learning Path offers a comprehensive journey through data visualization and analysis techniques, with a special emphasis on Power BI.

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

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

Advanced course using Power BI & DAX to solve complex but common business problems and scenarios you'll face everyday

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

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

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

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

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

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

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

Create compelling Power BI market reports

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

Develop compelling dashboards within Power BI using a range of analytical and visualisation techniques

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

Learn about the three fundamental rules that should guide your decision on choosing the correct type of chart

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

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

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

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

Enhance your development skills by creating a supplier insights report

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

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.