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 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 path is designed to help you build expert level skills in the implementation, monitoring and governance of Power BI, including making optimal use of the Service through dataflows, datasets, thin reports, etc.

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

This path is designed to help you harness the full power of Power BI in combination with R and Python. You will learn how to conduct advanced analyses and gain insight into complex business questions.

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

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

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

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

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

Advanced course using Power BI & DAX to solve complex but common business problems and scenarios you'll face everyday

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

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

Take a deep dive in pivot tables with Bill Jelen from MrExcel. Learn awesome pivot table techniques in both pivot cache pivot tables and data model pivot tables.

Boost your productivity and performance by mastering Microsoft’s latest technology updates

Covers the use of quick measures and the features

Using visual layering and transparency masks to improve data storytelling Advanced tricks for conditional formatting icons

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

In this presentation, you will learn the new LAMBDA function in Excel. How to use this to simplify functions that do not currently exist. 

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

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

Enhance your development skills by creating a supplier insights report

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

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

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

Use the data documenter tool to create an effective report template 

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

Challenge your data skills in creating an analysis report on substance

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