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 Learning Path delves into data analysis and modeling, focusing on Filter and Row Contexts for data computations, and the use of functions like SUM, SUMX, and Calculate.

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 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 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 delves into data analysis techniques, focusing on Power BI functions. It guides learners to enhance their data insight extraction skills.

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.

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

A practical guide to recognizing, understanding, and managing uncertainty in data 

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

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

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

Master the most powerful tool for data modeling and DAX calculations in Power BI and Analysis Services

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

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

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

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

Learn a range of advanced techniques in Power BI using DAX

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

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

Master complex data model techniques especially when running forecasting analysis

In this presentation, we would be developing a solution a simple solution to bulk rename files and folders in a folder.

Learn beginner to advanced DAX function techniques

Use the data documenter tool to create an effective report template 

Enhance your development skills by creating a supplier insights report

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

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

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

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 by creating a report on transport and shipping data 

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