Advanced Analytics

This learning path provides a thorough understanding of SQL, emphasizing key commands for data manipulation and querying. 

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

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 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 advanced data analysis and modeling techniques all illustrated through practical scenarios.

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

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

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

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

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

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

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

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

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

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

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

Data story telling is an important part of the report development process. It changes the way the audience views reports.

Expert Lightning Round

Dynamic data labels at the end of the line

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

Relationship best practices in Power BI

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

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

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

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

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

Enhance your development skills by creating a supplier insights report

Use the data documenter tool to create an effective report template 

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