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How to Create SQL Server Database from CSV Files in Simple Steps (With Download Link to CSV Files)

Today, we demonstrated building an SQL Server database from CSV files. We had multiple CSVs, each representing a table (‘brand’, ‘category’, ‘channel’, ‘customer’, ‘method’, ‘product’, ‘staff’, ‘store’), except ‘sales’, which was split into three files. This is common when migrating from simpler databases struggling with large datasets or multi-user access. We exported tables to CSV…

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Quiz 20250427: MS Excel Basics

Challenge yourself with this quick quiz featuring ten fundamental questions designed to test your basic knowledge of Microsoft Excel functionalities, ranging from calculating sums and finding maximum values to understanding file formats, cell referencing, counting numeric entries, manipulating columns, performing lookups, visualizing data trends, initiating formulas, and managing worksheet views. The answers are conveniently linked…

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SQL Window Functions: GROUP BY on Steroids – Without Collapsing Rows

Dive into the power of SQL window functions, a transformative tool for data analysis that enables calculations across related table rows without collapsing them like traditional GROUP BY clauses. These functions, categorized into aggregate (like AVG, MAX, MIN, SUM, COUNT), value (ROW_NUMBER, RANK, DENSE_RANK, PERCENT_RANK, NTILE), and ranking (LAG, LEAD, FIRST_VALUE, LAST_VALUE) types, add calculated…

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Google Colab: Auto Generate Python Code using Google AI inside Colab

This Google Collab tutorial introduces the use of generative AI to streamline Python coding, error identification, and integration with Google services. Learn how to leverage AI to write Python code, automatically identify and fix errors with suggested replacements, connect to Google Drive, import data from Google Sheets into Collab data frames, perform data analysis, generate…

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Power BI: Dealing with Missing Data in Time Series – Using Filters and DAX Query

This tutorial addresses the common problem of missing data in time series visualizations, particularly when dealing with progressive or accumulative data in Power BI. It explains that while missing data points might appear as zeros in standard charts, this can lead to inaccuracies when values represent cumulative totals. The video demonstrates two solutions: first, filtering…

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