2 min read · Feb 24, 2023 SQL (Structured Query Language) functions are used to perform various operations on data stored in a relational database management system (RDBMS). Here are some SQL functions I use all the time: COUNT I use this function to count the number of rows in a table that meet a…
3 min read – Feb 27, 2023 As a data analyst, having a well-equipped toolkit is essential to effectively analyze and interpret data. In this article, we will discuss the various tools that a data analyst should have in their toolkit, including statistical methods, software programs, and reference materials. Statistical Methods Basic statistics are an…
4 min read – Mar 1, 2023 SQL is a powerful language that allows you to extract and analyze data from databases. By using SQL commands, you can filter, sort, group, and aggregate data, as well as join data from multiple tables and perform complex calculations. In this way, SQL provides a rich set of…
SQL is a powerful language that allows you to extract and analyze data from databases. By using SQL commands, you can filter, sort, group, and aggregate data, as well as join data from multiple tables and perform complex calculations. In this way, SQL provides a rich set of tools for data analysis that can help…
The N0rthwind database is a sample database that was included with Microsoft SQL Server to demonstrate the use of SQL Server in various scenarios. It consists of various tables that represent entities in a typical business environment, such as customers, orders, products, and suppliers query provided earlier in this conversation is a complex query that…
5 min read – Mar 3, 2023 Descriptive statistics is a branch of statistics that deals with the analysis and summary of data. It involves the use of statistical measures to describe and summarize the characteristics of a dataset, including measures of central tendency and measures of variability. Descriptive statistics provides a powerful set of tools…
4 min read – Mar 3, 2023 Data analysis has become an integral part of modern-day businesses. To effectively analyze data, professionals need to use software programs that can efficiently manage and manipulate large amounts of data. Excel, Python, R, and SQL are four software programs that I believe are commonly used by data analysts.…
4 min read – Mar 5, 2023 This morning, I proposed an introduction to the SQL LIKE operator. I would like to expand on the wildcard Characters. SQL Server provides a powerful set of wildcard characters that can be used in conjunction with the LIKE operator to search for patterns within data. These wildcards allow you to…
Navigating Key Concepts, Techniques, and Applications in Data Science Statistics serves as the backbone of data analysis, playing a pivotal role in unraveling insights from complex datasets. For aspiring data analysts, mastering statistics is not just a skill but a necessity to thrive in the field of data science. In this comprehensive guide, we delve…
Essential Skills and Advanced Strategies for Data Analysts Photo by Mika Baumeister on Unsplash Excel has long been the go-to tool for data analysts, offering a powerful platform for organizing, analyzing, and visualizing data. From basic spreadsheet management to advanced data manipulation techniques, Excel provides a comprehensive toolkit for professionals in the field of data analysis. In this…