Advanced Analytics

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

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.

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

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

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

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

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

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

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

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

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

This session will cover which Python and R packages and examples can facilitate functionalities found in Power BI

Discovering unique and valuable insights and solve advanced analytical questions using Power BI

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

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

Discover various Data Time Manipulation techniques in SQL

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.

Use the data documenter tool to create an effective report template 

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

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

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

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

An excellent opportunity for you to create a one-page data report for Covid-19 analysis

Enhance your development skills by creating a supplier insights report

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