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 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 delves into Power BI development, focusing on creating effective reports and visualizations. It covers parameter management, using PowerPoint and more!

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

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 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 build the broad range of expert-level knowledge necessary to confidently pass the PL-300 Data Analyst certification exam (replacement for DA-100).

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

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

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

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

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

Expand Power BI's capabilities in accessing a wide range of data using APIs

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

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

Discover various Data Time Manipulation techniques in SQL

Develop advanced Power BI analytical techniques

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

Learn the best practices for transforming data in the query editor

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

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

The session include function Let and how to declare and using parameters in Power Query and DAX

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

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

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

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

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