Advanced Analytics

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

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

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 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 provides a deep dive into Power BI and DAX, focusing on data analysis techniques and visualization. It equips learners with skills to craft dynamic visualizations.

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

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

Implement advanced & practical analytical techniques inside of Power BI and find insights you never thought possible in an intuitive way

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

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

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

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

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

What should you consider when putting your carefully-researched data together for an audience? Get the tips for using the right tools for each job.

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

Learn a range of advanced techniques in Power BI using DAX

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.

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

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.

Enhance your development skills by creating a supplier insights report

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

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

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 

Use the data documenter tool to create an effective report template 

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.