In this article, we're discussing customer churn data. We've scoured the internet for different kinds of customer churn datasets to highlight our favorites in order of difficulty.
In this article, we’ll briefly discuss the SUM() and CASE() functions, some common use cases, and how the two functions can be nested. We will also explore real-life practice examples with case studies and provide useful tips to ensure error-free, optimiz
In this article, we will explore an important application of SQL JOINs, namely: SQL JOIN on two columns and multiple columns. We’ll briefly review the syntax, real-world use cases, and alternatives to joining on multiple columns.
In this article, we dive into the significance and application of the SQL CASE statement with multiple conditions and examples you might encounter in a technical interview.
In this article, we explore clinical analytics, its role in improving patient care and healthcare operations, and the key skills needed for a career in this growing field.
Both cohort studies and case-control studies can be applied across various domains, including customer analytics, healthcare predictions, financial fraud detection, and product development, making them valuable tools for data scientists, analysts, and dec
In this article, we'll explore a common use case in database management—how to use LEFT JOIN in SQL to combine multiple rows into one efficiently.
Prepare for Python interview questions for data analysts and data scientists with this guide covering key topics like statistics, probability, Pandas, and NumPy. Practice real interview questions, from basic concepts to advanced algorithms.
What do careers in pricing involve? A pricing analyst leverages data and statistical methods to develop strategies that maximize profits and analyze market trends.
This article provides an overview of answering data analytics and data analysis case study interview questions.
In this guide, we will discuss how to use the LENGTH() function and explore its various applications in SQL. We'll cover everything from basic usage to practical examples, helping you leverage this function to enhance your database operations.
Data analyst tools are crucial because they empower analysts to transform raw data into actionable insights efficiently and accurately. In this article, we provide an overview of the most powerful and up-to-date data analysis tools used by professionals i
