Advanced Analytics

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

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.

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 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.

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

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

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

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

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

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

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

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

Discover various Data Time Manipulation techniques in SQL

Master complex data model techniques especially when running forecasting analysis

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

The session include function Let and how to declare and using parameters in Power Query and DAX

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

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

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

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.

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

Enhance your development skills by creating a supplier insights report

Challenge your data skills in creating an analysis report on substance

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.