Produce Aggregates and Compute Statistics from your Data! — This is not that easy to analyze data, but thanks to Python and pandas, you can get exciting insights knowing only a few lists of functions. First, you will learn about aggregates. …

Make a Copy of Your Data, Detect & Remove Duplicates, and Check Your Work! — Here is a classic day in your developer or data analyst journey: your boss is complaining because sales numbers are inaccurate and bigger than expected in the dashboards. You remember that a few days ago, the developer team updated the application with no evident issue, but they probably have updated…

Predict the Future with SQL and Google ML! — Forecasting is an essential tool for businesses, allowing them to predict future trends and make informed decisions. With the power of Google BigQuery, you can efficiently perform forecasting on large datasets and gain valuable insights into the future of your business. In this tutorial, we’ll walk you through the basics…

Start learning and exploring the Google Cloud Platform (GCP) at No Cost! — Google BigQuery is a cloud-based data warehouse that enables you to analyze large and complex datasets quickly and easily. Hit a paywall? Use this link and get rid of this paywall. With BigQuery, you can run SQL queries on data stored in various sources, including Google Cloud Storage, Google Drive…

An introduction to the Basics of Customer Segmentation Analysis — Hit a paywall? Sign up for a membership via my referral link. RFM segmentation is a technique used in marketing to identify the most valuable customers for a business. It stands for Recency, Frequency, and Monetary Value. …

All the differences, fully Explained — In SQL, the ANY and ALL keywords are used in conjunction with a subquery to specify a condition that must be met. They compare a value with a list of values returned by a subquery. The ANY keyword is used to check if a value meets a proper condition for…

and Learn the main differences between them! — The RANK and DENSE_RANK functions rank records within a query result set in SQL. These functions can be helpful for various purposes, such as breaking ties in data or creating a ranked list of records. RANK and DENSE_RANK are similar in that they both assign a rank value to each…

Robust tools for Powerful use cases — Structures in BigQuery are powerful tools that allow users to store and query complex data sets in a way that is both efficient and scalable. With structures, users can store multiple levels of data within a single record, making it easier to query and manipulate large amounts of data. One…

Cloning SQL tables can be a helpful technique for creating backups, testing new queries, or simply making a copy of a table for reference. In this article, we’ll look at three different methods for cloning SQL tables: creating a new table and inserting data; shallow cloning; and deep cloning! Creating a New Table and Inserting Data The…