Advanced Analytics

This Learning Path provides a deep dive into Power BI and DAX, focusing on data analysis techniques and visualization. It equips learners with skills to craft dynamic visualizations.

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

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 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 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. 

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

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

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

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

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

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

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

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

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

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

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

In this presentation, you will learn the new LAMBDA function in Excel. How to use this to simplify functions that do not currently exist. 

Dynamic data labels at the end of the line

Discover various Data Time Manipulation techniques in SQL

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

Master complex data model techniques especially when running forecasting analysis

Enhance your development skills by creating a supplier insights report

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

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

Use the data documenter tool to create an effective report template 

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.

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

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.