Advanced Analytics

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

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.

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

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

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

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

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

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

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

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

Check the Replays of the Feb 2022 Analytics Summit Event for Analysts, Excel Users, Database Professionals, Data Enthusiasts and more.

Discovering unique and valuable insights and solve advanced analytical questions using 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.

Create compelling Power BI market reports

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

Learn beginner to advanced DAX function techniques

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

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.

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 

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

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