Advanced Analytics

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

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.

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 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 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 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.

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

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

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

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

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

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

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

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

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

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

Analyzing your data set in comprehensive way to get a better understanding

Relationship best practices in Power BI

Expert walk-through of week #1 solution with Sam McKay and Brian Julius

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

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

Enhance your development skills by creating a supplier insights report

Challenge your data skills in creating an analysis report on substance

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

Use the data documenter tool to create an effective report template 

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

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.

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