Advanced Analytics

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 the most in-depth and rigorous on the list, designed to provide you expert-level skills in all of the key pillars of 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 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 will provide you in-depth knowledge of the full range of Power BI best practices, with particular emphasis on building data models specifically optimized for Power BI.

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

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

The first of the two-part preparation course for the Microsoft's DP-500 Exam Certification

The second part of the preparation course for the Microsoft's DP-500 Exam Certification

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

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

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

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

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

Identify trends in sales and customer behavior and assess the performance of different stores or regions using the LFL Analysis in Retail

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

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

Discover various Data Time Manipulation techniques in SQL

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

Discovering unique and valuable insights and solve advanced analytical questions using Power BI

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

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

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

Use the data documenter tool to create an effective report template 

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.

Deep dive into the world of F1 and create an analysis of the drivers' stats

Challenge your data skills in creating an analysis report on substance

Enhance your development skills by creating a supplier insights report

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

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