1,895 個評分
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Learn the steps, needed to be taken to prepare your data sources for an analysis
Learn how to look at your data to find a good measure to stablish your analysis based upon
Learn to visualize the result of your analysis
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.
Python Programming
Data Analysis
Pandas
Seaborn
Statistics
在與您的工作區一起在分屏中播放的視頻中，您的授課教師將指導您完成每個步驟：
Importing COVID19 dataset and preparing it for the analysis by dropping columns and aggregating rows.
Deciding on and calculating a good measure for our analysis.
Merging two datasets and finding correlations among our data.
Visualizing our analysis results using Seaborn.
您的工作空間就是瀏覽器中的雲桌面，無需下載
在分屏視頻中，您的授課教師會為您提供分步指導
由 PD 提供
2020年7月10日great project for a beginner and intermediate to work upon, keep making these type of guided project and try to make it a bit lengthy(should be more 1 hour) :)
由 YJ 提供
2020年9月21日It was so good, the instructor was discussing all the things very clearly, it helps me alot to learn and analyze the real covid19 related data. Thanks Coursera!
由 DD 提供
2020年11月27日i guess it is a fun course ad very easily managed via rhyme notebook. i guess anyone with interest in data science can come here and catch some curiosity or understand what they need to learn.
由 CC 提供
2020年7月27日Hi , this is chaandhini...very intresting course ...learned lots about data analysis using python...the instructor taught very friendly and really he is awesome...
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由於您的工作空間包含適合筆記本電腦或台式計算機使用的雲桌面，因此指導項目不在移動設備上提供。
指導項目授課教師是特定領域的專家，他們在項目的技能、工具或領域方面經驗豐富，並且熱衷於分享自己的知識以影響全球數百萬的學生。
您可以從指導項目中下載並保留您創建的任何文件。為此，您可以在訪問云桌面時使用‘文件瀏覽器’功能。
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指導項目不提供助學金。
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是，您可以在瀏覽器的雲桌面中獲得完成指導項目所需的一切。
您可以直接在瀏覽器中於分屏環境下完成任務，以此從做中學。在屏幕的左側，您將在工作空間中完成任務。在屏幕的右側，您將看到有授課教師逐步指導您完成項目。
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