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Introduction to Python for Data Science
Python is a high-level, interpreted programming language that was created in the late 1980s by Guido van Rossum. It is designed to be easy to read and write, with a simple and intuitive syntax...
Variables and Data Types in Python
Python is a versatile programming language that offers a wide range of data types to handle various types of information. In this post, we will explore the concept of variables and some commonly used data types in Python...
Introduction to SQL for Data Science
SQL (Structured Query Language) is a programming language used to interact with databases in data science. It allows data scientists to retrieve, analyze, and transform data efficiently.
SELECT Statement
The SELECT statement in SQL is a powerful command used to retrieve specific data from databases. It allows you to specify the columns you want to retrieve, the table from which you want to retrieve the data, and any conditions for filtering the data.
The Different 'Types of Data'
We will explore the various types of data commonly encountered in statistical analysis. Understanding these different types is crucial for conducting accurate analyses and drawing meaningful conclusions from your data...
Basics of Statistics - Part 1
Statistics is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical ...
Introduction to Machine Learning
Machine learning is a branch of artificial intelligence that involves the use of statistical algorithms to enable computer systems to improve their performance on a specific task by learning from data, without being explicitly programmed...
Best Practices for Effective Data Visualization
Tableau is a powerful data visualization tool that allows users to analyze, visualize, and share data in a user-friendly and interactive way. To make the most of Tableau's capabilities...