Advanced Analytics

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 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 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 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 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 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 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.

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

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

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

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

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

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

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

Learn how to build scalable Power Platform solutions to implement robust business processes from the world's global experts.

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

Expert walk-through of week #1 solution with Sam McKay and Brian Julius

Expert Lightning Round

Learn a range of advanced techniques in Power BI using DAX

Analyzing your data set in comprehensive way to get a better understanding

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

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 

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

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.

Enhance your development skills by creating a supplier insights report

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