Advanced Analytics

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

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

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

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

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

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

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

Amplify your Power BI visualizations with R's comprehensive statistical analysis and graphics language

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

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

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

Learn how to create clear and consistent reports in Power BI

An overview on Azure ML and how to incorporate it with Power BI

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

Relationship best practices in Power BI

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

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

This session will cover which Python and R packages and examples can facilitate functionalities found in Power BI

Discover advanced data modeling and DAX techniques to speed up DAX query execution

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

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.

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

Challenge your data skills in creating an analysis report on substance

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

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

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

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