COVID19 Data Analysis Using Python
4.3 /5- Offered byCoursera
COVID19 Data Analysis Using Python at Coursera Overview
COVID19 Data Analysis Using Python
at Coursera
Learn how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis
Duration | 2 hours |
Total fee | ₹729 |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Credential | Certificate |
COVID19 Data Analysis Using Python at Coursera Highlights
COVID19 Data Analysis Using Python
at Coursera
- Get all learning materials, including the interactive workspace and final quiz
- Get instant access to the necessary software packages through Rhyme
- A split-screen video walkthrough of each step, from a subject-matter expert
- Ability to access your cloud desktop across six different sessions
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COVID19 Data Analysis Using Python at Coursera Course details
COVID19 Data Analysis Using Python
at Coursera
Who should do this course?
- For learners who are based in the North America region
What are the course deliverables?
- 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
More about this course
- In this project, students 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
- Students 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
COVID19 Data Analysis Using Python at Coursera Curriculum
COVID19 Data Analysis Using Python
at Coursera
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
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Other: It helped me practice EDA
Reviewed on 29 Nov 2021Read More
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Aakanksha Agarwala
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Other: its a guided hands on project which gives a rough idea on data analysis using python
Reviewed on 28 Sep 2021Read More
N
Niharika Srivastava
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3
Other: It was nice... Learnt a lot...I got to learm about new libraries in python...I got to visualise them
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COVID19 Data Analysis Using Python
at Coursera
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