Advanced Analytics

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

This path is the most in-depth and rigorous on the list, designed to provide you expert-level skills in all of the key pillars of Power BI. 

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!

This Learning Path delves into data analysis and modeling, focusing on Filter and Row Contexts for data computations, and the use of functions like SUM, SUMX, and Calculate.

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.

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

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

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

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

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

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

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

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

Learn how to create clear and consistent reports in Power BI

This session will cover which Python and R packages and examples can facilitate functionalities found in Power BI

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

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

Join a casual conversation with Sam and the Power BI Challenge Winner, Brian.

Learn a range of advanced techniques in Power BI using DAX

Dynamic data labels at the end of the line

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

Challenge your data skills in creating an analysis report on substance

An excellent opportunity for you to create a one-page data report for Covid-19 analysis

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

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

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.