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

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 offers a comprehensive journey through data visualization and analysis techniques, with a special emphasis on Power BI.

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

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 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).

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

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

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

Level up your SQL query fluency even without prior SQL experience.

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

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

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

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

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

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

Learn a range of advanced techniques in Power BI using DAX

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

Discover various Data Time Manipulation techniques in SQL

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

Develop compelling dashboards within Power BI using a range of analytical and visualisation techniques

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

An excellent opportunity for you to create a one-page data report for Covid-19 analysis

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.

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

Challenge your data skills in creating an analysis report on substance

Enhance your development skills by creating a supplier insights report

Develop an analysis report about the Football/Soccer Players Summer Transfers Season 2022-23

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