SQL (Structured Query Language) is a standard Database language that is used to create, maintain, and retrieve the data from relational databases like MySQL, Oracle, SQL Server, PostGre, etc.. SQL statements are used to perform tasks such as update data on a database or retrieve data from a database. SQL databases are primarily called RDBMS or [...]
Probability and Statistical analysis in Data Science using Python are the approaches to understand and gain insights from data and can be considered of those “must know” topics. In statistical analysis, one of the possible analyses that the data “matches” a specific theoretical model. The main two purposes of statistical analysis are to describe and to investigate: To describe: [...]
Today, business and other fields are data-centric, so it can use the data in order to improve and run in a better way. 1. Making Smarter Decisions in your business: The meaningful insights will help the data science companies to analyze information on a large scale and gain necessary decision-making strategies. that is a four-step process: 1-1. [...]
Always a selection of useful and best libraries for our goals can be so effective. About data science, the most important Python libraries for data science tasks covering areas: data mining, data processing, modeling, and visualization are: Read more: What is Data Science? The accelerator approach to solving your problem! Python libraries for Data Mining or [...]
