Data Analysis

A potential data scientist must be proficient in SQL. Additionally, he or she should be able to execute queries on a database in the quickest possible manner. Therefore, it is important to be well-versed with the genuine difficulties practically facing in the data sector in order to execute an effective…

每当我们使用数据时，我们的数据集中总是很有可能缺少数据。使用缺少数据的数据集进行分析会导致我们的分析偏见。偏见意味着由于缺少数据，任何与…进行的分析有关

Evolution of Data and Big Data Until the advent of computers, limited facts were collected and documented, given the cost and scarcity of resources and effort to capture, store, and maintain them. Even with the advent of computers, due to high costs and limitation of storage space, the amount of data that could be stored was…

If you have ever seen one of the CSGO’s T1 broadcasts, then you would have noticed the AI round win predictor which is very often very accurate. …

Introduction: Hello, my name is Ryan Metoyer, and welcome to my capstone project for the Google Data Analyst Certification. In this project I am working for Cyclistic, a fictional bike share company in Chicago. Until now, Cyclistic’s marketing strategy relied on building general awareness and appealing to broad consumer segments. One…

Introduction Some time back I was given a task where I needed to collect data from a Spanish website for hotels bookings. We have a few of options when we come across these kind of tasks, Beautiful soup, Scrapy and selenium. Beautiful soup does not work well with dynamic websites, and…

Data wrangling is the process of gathering your data, assessing its quality and structure, and cleaning it before you do things like analysis, visualization, or build predictive models using machine learning. Sometimes, it’s as simple as downloading a file, spotting a few typos, and fixing those typos. But other times…