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 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 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 the most in-depth and rigorous on the list, designed to provide you expert-level skills in all of the key pillars of Power BI. 

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 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.

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

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

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

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

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

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

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.

Relationship best practices in Power BI

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

Develop advanced Power BI analytical techniques

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.

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

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

Covers the use of quick measures and the features

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

Challenge your data skills in creating an analysis report on substance

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.

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

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

Use the data documenter tool to create an effective report template 

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

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