Advanced Analytics

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 in statistical analysis and inference equips learners with practical skills to conduct tests, estimate sample sizes, and understand test assumptions. 

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

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

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

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

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

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

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

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.

Learn a range of advanced techniques in Power BI using DAX

Discover advanced data modeling and DAX techniques to speed up DAX query execution

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.

On this session, Cristiano Galvao MVP will cover the impact of recent changes in Excel that unleash the power of formulas. 

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

Illustrate key techniques in Power Query/M by working through the Challenges

Develop complex Power BI solutions

Challenge your data skills in creating an analysis report on substance

Use the data documenter tool to create an effective report template 

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.

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

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

Develop an analysis report about the Football/Soccer Players Summer Transfers Season 2022-23

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