Advanced Analytics

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 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 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 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 deep dive into data management and analysis, emphasizing the hands-on use of Python and Scala languages for manipulating CSV and JSON files, and the application of SQL for data querying. 

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 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.

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

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

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

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

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

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

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

Unlock the power of data analysis and visualization with PandasAI, and transform raw data into actionable insights that drive decision-making and growth.

Learn the best practices for transforming data in the query editor

Develop advanced Power BI analytical techniques

Analyzing your data set in comprehensive way to get a better understanding

In this sessions we will start from what you need to know about Azure AD in relation to Azure data services.

Learn how simple resources can generate amazing results in the charts, applicable to any analysis.

Develop complex Power BI solutions

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

Enhance your development skills by creating a supplier insights report

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

Challenge your data skills in creating an analysis report on substance

Use the data documenter tool to create an effective report template 

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

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

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

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