Advanced Analytics

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

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

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

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

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

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 

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

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

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

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

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

In this presentation, we would be developing a solution a simple solution to bulk rename files and folders in a folder.

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

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

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

Enhance your development skills by creating a supplier insights report

Challenge your data skills in creating an analysis report on substance

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

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 

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.