Python Data Visualization faq

star-rating
5
learnersLearners: 1,461
instructor Instructor: Scott Rixner and Joe Warren instructor-icon
duration Duration: duration-icon

This is the final course in the Python specialization, and it builds on the knowledge acquired in the previous courses. Python Data Visualization will teach you how to install external packages, acquire data from the web, clean, process, analyze, and visualize it. You will be able to write interesting, practical, and useful programs by the end of the course. With the skills you have learned, you will be able to locate, install, and use Python packages written by others, amplifying your effectiveness and writing useful programs.

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Coursera

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

22nd May, 2023

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [June 30th, 2023]

What skills and knowledge will you acquire during this course?
This course will provide students with the skills and knowledge to install and use Python packages, acquire data from sources on the Web, clean, process, analyze, and visualize data. Students will also learn how to write interesting, practical, and useful programs. By the end of the course, students will be comfortable with installing Python packages, analyzing existing data, and generating visualizations of that data.

How does this course contribute to professional growth?
This course contributes to professional growth by providing the skills necessary to effectively utilize tools and packages that are widely available to amplify one's effectiveness and write useful programs. It teaches how to install external packages for use within Python, acquire data from sources on the Web, and then clean, process, analyze, and visualize that data. By the end of the course, learners will be comfortable installing Python packages, analyzing existing data, and generating visualizations of that data. This will enable them to write interesting, practical, and useful programs.

Is this course suitable for preparing further education?
This course is suitable for preparing further education as it provides a comprehensive overview of the Python programming language. It covers topics such as installing external packages, acquiring data from the web, cleaning, processing, analyzing, and visualizing data. Additionally, it teaches students how to effectively utilize tools and packages that are widely available to amplify their effectiveness and write useful programs. This course will provide students with the necessary skills and knowledge to be successful in further education.

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faq FAQ for Big Data Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a free certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: Can I take this course for free?

Yes, this is a free course offered by Coursera, please click the "go to class" button to access more details.

Q4: How many people have enrolled in this course?

So far, a total of 1461 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q5: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Coursera's official site.)
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Add your desired course to your cart.
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Once in the cart, select the course you want and click "Enroll."
Coursera may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Big Data courses and certifications, our extensive collection at azclass.net will help you.

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