Advanced Analytics

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 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 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.

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 in statistical analysis and inference equips learners with practical skills to conduct tests, estimate sample sizes, and understand test assumptions. 

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

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.

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

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

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

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

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

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

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

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

In this presentation, you will learn the new LAMBDA function in Excel. How to use this to simplify functions that do not currently exist. 

Discovering unique and valuable insights and solve advanced analytical questions using Power BI

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

In this session, Celia will reveal her top list of Excel skills and features needed to automate the most common Excel reporting procedures.

An overview on Azure ML and how to incorporate it with Power BI

Develop complex Power BI solutions

Learn a range of advanced techniques in Power BI using DAX

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

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 

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

Challenge your data skills in creating an analysis report on substance

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.

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

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

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.