Advanced Analytics

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

This path is designed to help you harness the full power of Power BI in combination with R and Python. You will learn how to conduct advanced analyses and gain insight into complex business questions.

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 data visualization and analysis techniques, with a special emphasis on Power BI.

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

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.

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

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

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

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

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

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

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

Discover various Data Time Manipulation techniques in SQL

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

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

Illustrate key techniques in Power Query/M by working through the Challenges

Develop complex Power BI solutions

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

Create compelling Power BI market reports

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 

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

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

Use the data documenter tool to create an effective report template 

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