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COVID19 Data Analysis Using Python

Курс от Coursera

Средний≈ 1.8 чАнглийский

О курсе

In this project, you will learn how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis. In this project, we are going to work with the COVID19 dataset, published by John Hopkins University, which consists of the data related to the cumulative number of confirmed cases, per day, in each Country. Also, we have another dataset consist of various life factors, scored by the people living in each country around the globe. We are going to merge these two datasets to see if there is any relationship between the spread of the virus in a country and how happy people are, living in that country. Notes: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Навыки, которые вы освоите

Seaborn Data Manipulation Data Visualization Data Integration Exploratory Data Analysis Data Analysis Data Wrangling Data Processing Data Preprocessing Statistics Correlation Analysis Data Cleansing Infectious Diseases Python Programming Plot (Graphics)Statistical Analysis

Программа курса

1 модулей · 5 учебных материалов

01COVID19 Data Analysis Using Python5 материалов

Practical Application Using Guided Projects

Project-based Course OverviewЧтение Covid19 Data Analysis Using PythonЛабораторная Test your Project understandingЗадание

Учитесь у экспертов

Ahmad Varasteh

AI Course Author