利用Python进行数据分析 第二版 (2017) 中文翻译笔记

Learn Python language for beginners in Data Engineering and Data Analytics

Archivos de la carrera de data science presencial de Acámica, entre septiembre de 2019 y marzo de 2020.

用python玩转数据

This repository showcases my work from the KPMG Technology Job Simulation by Forage, focusing on Data Analytics and Cloud Engineering. Explore how I tackled real-world business challenges through sales data analysis, regional growth strategies, and AWS architecture design, highlighting my analytical and technical expertise.

Pandas for Data Analysis

This project serves as a comprehensive guide to executing shell commands and handling files using Python.

Curso para aprender Python desde cero.

Examples from 'Python for Data Analysis'

We will analyze the website MyAnimeList using Requests, and BeautifulSoup for web scraping and NumPy and Pandas for data combination, formatting, and analysis.

IBM Data Science project for House Sales Prediction

These Jupyter notebook sheets provide you everything you need to know about Python Programming from scratch to advanced level via interactive notebook sheets

Jupyter Lite installation to support tutorials

Capstone Project, Nashville Software School. Maps the emergence of technology hubs across the United States from 2000 to 2017, and investigates the relationship between the growth of tech hubs and the phenomenon known as “brain drain” across the United States.

I am sharing Python programming concepts and exercises ranging from various levels, which I have studied and am continuing to study on my path to becoming a Data Analyst.

This project is part of a university course designed to integrate machine learning techniques into the domain of computer networks. The repository contains exercises and laboratory work aimed at deepening understanding and practical application of ML concepts in the context of networking.

Análise de dados históricos de preços do café combinados com índices de inflação e CPI nos EUA. O objetivo é identificar correlações e investigar se a inflação influenciou os preços do café ao longo dos anos.

IPL Data Analysis using Python, Pandas, NumPy & Visualization

Notes of “Python for Data Analysis , First Edition”

A data-driven analysis of UK broadband coverage (2019–2023), exploring trends, disparities, and policy impacts on SFBB, UFBB, Full Fibre, and Gigabit availability.