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

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 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 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 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.

The second part of the 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

Dramatically enhance Power BI's capabilities by incorporating Python's flexible and powerful data wrangling, data analysis and data visualization functionality

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

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

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

Master key data modeling and DAX concepts and techniques to optimize performance in Power BI

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

Learn a range of advanced techniques in Power BI using DAX

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

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

In this session, Celia will reveal her top list of Excel skills and features needed to automate the most common Excel reporting procedures.

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

Create compelling Power BI market reports

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

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

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.

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

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

Challenge your data skills in creating an analysis report on substance

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

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