Advanced Analytics

This Learning Path delves into data analysis techniques, focusing on Power BI functions. It guides learners to enhance their data insight extraction skills.

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 provides a thorough understanding of SQL, emphasizing key commands for data manipulation and querying. 

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

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

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

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

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

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

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.

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

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

Learn beginner to advanced DAX function techniques

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

What should you consider when putting your carefully-researched data together for an audience? Get the tips for using the right tools for each job.

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

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.

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

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

Use the data documenter tool to create an effective report template 

Deep dive into the world of F1 and create an analysis of the drivers' stats

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

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

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

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

Challenge your data skills in creating an analysis report on substance

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

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