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

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 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.

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

The first of the two-part 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

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

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

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

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

Showcase the best techniques around bookmarks, tooltips, selections, drillthrough & theming

Discover various Data Time Manipulation techniques in SQL

In this session, you will learn how to manage Banking Transactions Directly Through Your Excel-VBA model

Master complex data model techniques especially when running forecasting analysis

Learn the best practices for transforming data in the query editor

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

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

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

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

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

Use the data documenter tool to create an effective report template 

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 

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.

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.