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

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 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 delves into Power BI development, focusing on creating effective reports and visualizations. It covers parameter management, using PowerPoint and more!

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

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

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

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

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

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

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

Amplify your Power BI visualizations with R's comprehensive statistical analysis and graphics language

Let's go beyond the thrills and glamour of Excel tricks. This session explores the dark side--the sexy features in Excel that can burn your fingers if you're not careful.

Learn beginner to advanced DAX function techniques

Discover various Data Time Manipulation techniques in SQL

Expert Lightning Round

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

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

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

Use the data documenter tool to create an effective report template 

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 

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

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

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

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.