2.5 - The Coefficient of Determination, r-squared | STAT 462
Western Tech
The Complete Guide to R-squared, Adjusted R-squared and Pseudo-R-squared
Learn how to use these measures to evaluate the goodness of fit of Linear and certain Nonlinear regression models
A Data Scientist’s Essential Guide to Exploratory Data Analysis
Best Practices, Techniques, and Tools to Fully Understand Your Data
Dr. Latanya Sweeney's Home Page
Data Privacy Lab
Putting the Balanced Scorecard to Work
What do companies like Rockwater, Apple Computer, and Advanced Micro Devices have in common? They’re using the scorecard to measure performance and set strategy.
Dimensional Modeling Techniques - Kimball Group
The amended Bible
SSIS How to Create an ETL Package - SQL Server Integration Services (SSIS)
SSIS How to Create an ETL Package
What is Systems Thinking? — updated 2024
Explore how systems thinking enhances design effectiveness by considering entire systems, avoiding superficial solutions, and tackling root causes.
What 'systems thinking' actually means - and why it matters today
‘No man is an island’ is a well-known phrase, yet in practice, how often do we understand the interconnectedness of everything around us? Enter systems thinking.
Ask an MIT Professor: What Is System Thinking and Why Is It Important?
We recently sat down with MIT Professor Crawley to discuss system thinking, a skill that he considers system thinking “the cognitive skill of the 21st century.”
First Principles: The Building Blocks of True Knowledge
First Principles thinking breaks down true understanding into building blocks we can reassemble into something that simplifies our problem.
Introducing the 3-30-300 rule for better reports - SQLBI
This article describes a simple approach that you can apply to improve your reports and dashboards. Effective reports and dashboards should enable users to
Database Design – 2nd Edition – The BC Open Textbook Project
BUS611: Data Management, Topic: Unit 3: Data Models | Saylor Academy
This graduate-level course will teach you
Designing a Relational Database — Pizza Parlor
In this project, I used SQL to query, update, and reorganize data, as well as to create and modify the schema (structure) of a database…
Dimensional Databases
IBM Documentation.
Urban Stats
What is a Semantic Layer? (Dimensional Data Modeling)
A semantic layer is a semantic data model that shows to the business user: a dimensional view (dimensional schema) from a relational schema. It will create/model a logical star schema by: ...
The Difference Between Data Analytics & Business Intelligence | Google Career Certificates - YouTube
Business Intelligence vs. Data Analytics: What Is the Difference?
In a data-driven world, business leaders must explore new tools and applications. Compare business intelligence vs. data analytics in today’s workplace.
How BAs Fit into Projects and Development
As the business analyst (BA) role continues to evolve, the responsibilities continue to expand. One of the best ways for a business analyst to add value to a project is to understand the processes involved in both the project life cycle (PLC) and the software development life cycle (SDLC). Contrary
Power BI Sharing Methods Comparison – All in One Review
Compare all sharing methods for the Power BI content with their pros and cons and best practice use cases mentioned for each.
Power BI: Pivot and Unpivot Columns - Data Bear - Power BI Training and Consulting
In this Power BI post we will take a closer look at the Pivot and Unpivot functionalities in Power Query in Power BI and the usefulness thereof.
Calculated Columns and Measures in DAX - SQLBI
One of the first concepts to learn in DAX is the difference between calculated columns and measures. This article shortly recap the differences.
Understanding context transition in DAX - SQLBI
Context transition is one of the most obscure topics for DAX newbies. In this article we introduce context transition, its effects, and how to leverage it r
Best practices when working with Power Query - Power Query
Best practices when working with Power Query
Parameters - Power Query
An article on how to use parameters in Power Query
Pivot columns (Power Query) - Microsoft Support
In Power Query, you can create a table that contains an aggregate value for each unique value in a column. Power Query groups each unique value, performs an aggregate calculation for each value, and pivots the column into a new table.
Chapter 10 ER Modelling – Database Design – 2nd Edition