Advanced Analytics

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

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

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

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.

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 in statistical analysis and inference equips learners with practical skills to conduct tests, estimate sample sizes, and understand test assumptions. 

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 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.

Advanced course using Power BI & DAX to solve complex but common business problems and scenarios you'll face everyday

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

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

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

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

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

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

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

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

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.

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

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

An overview on Azure ML and how to incorporate it with Power BI

Develop complex Power BI solutions

Develop compelling dashboards within Power BI using a range of analytical and visualisation techniques

Discover advanced data modeling and DAX techniques to speed up DAX query execution

Enhance your development skills by creating a supplier insights report

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

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

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.

Use the data documenter tool to create an effective report template 

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.