By the end of this project, you will be able to analyze and data and answer three different questions by Data wrangling which is the process of gathering, selecting, and transforming data to answer an analytical question using Python. In this project, you will be able to gather the data for the whole year of 2020 and query it from the Quandl website using its API. It’s a free website for dummy data. You will be able to convert the returned JSON data into a Python dictionary. And you will be able to analyze this data to calculate the highest and lowest prices in this period, the biggest change based on High and Low price during this year, And finally, the average makeover during this year.
Wrangling Data for Data Analysts with Python
Wrangling Data for Data Analysts with Python
Taught in English
Instructor: Omnya Khaled
Included with 
Guided Project
Learn, practice, and apply job-ready skills with expert guidance
Beginner level
Recommended experience
1 hour
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
3.1
(10 reviews)
What you'll learn
You will be able to query Quandl's API for dummy data, read the data from the JSON file, and calculate the maximum and the minimum price.
You will be able to calculate the biggest price change, the average of a Turnover column in a specific year based on the analysis of this data.
Skills you'll practice
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Guided Project
Learn, practice, and apply job-ready skills with expert guidance
Beginner level
Recommended experience
1 hour
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
3.1
(10 reviews)
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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:
You will be able to query Quandl's API for dummy data.
You will be able to read the data from JSON file and calculate the maximum and the minimum of the opening column.
You will be able to calculate the biggest price change on any day in a specific year.
You will be able to calculate the average of a Turnover column in a specific year.
Recommended experience
Familiar with the basics of python.
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Skill-based, hands-on learning
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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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