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.
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What you'll learn
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
Skills you'll practice
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
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.
Recommended experience
Learners should have familiarity with python programming language and having a little experience working with Jupyter notebook.
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How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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Reviewed on Jun 27, 2020
This course is very good for beginners, although it misses out a lot of points in terms of professional data analysis...
Reviewed on Jun 14, 2021
The tasks were easy and they helped me review my skills in Python programming and data analysis. The instructor gave very clear instructions and enough time for practice.
Reviewed on Jun 10, 2020
I had a wonderful experience in this course also I'd love to learn more from the instructor as he explains everything so well that a rookie can start without fearing anything.
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Frequently asked questions
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.