Advanced Analytics

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

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

Level up your SQL query fluency even without prior SQL experience.

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

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

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

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

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

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

Master complex data model techniques especially when running forecasting analysis

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

Learn the best practices for transforming data in the query editor

Dynamic data labels at the end of the line

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

Expert Lightning Round

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

The session include function Let and how to declare and using parameters in Power Query and DAX

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.

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

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

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 

Enhance your development skills by creating a supplier insights report

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

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