Python for Data Engineering Project faq

learnersLearners: 82
instructor Instructor: / instructor-icon
duration Duration: 5.00 duration-icon

This IBM course provides learners with the skills to become proficient in Python for Data Engineering. Upon successful completion, learners will receive a digital credential that verifies their knowledge and skills. Enroll now to gain the necessary skills to become a successful Data Engineer.

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

Course Feature

costCost:

Free

providerProvider:

Edx

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

Self paced

Course Overview

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

Updated in [February 21st, 2023]

(Please note this course detail is from the official platform)

Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you've acquired in this course. Enroll to learn more, complete the course and claim your badge!

Journey into the realm of becoming a Data Engineer and apply your basic Python knowledge of working with data. You will exercise various techniques in Python to extract data in multiple file formats from different sources, transform it into specific datatypes, and then prepare it for loading it into a database. You will perform these tasks with the help of multiple hands-on labs using Jupyter notebooks and IBM Watson Studio.

On completion of this course, you will have the confidence to employ Python for data engineering tasks such as extracting large data sets from multiple sources through the use of webscraping and APIs, transforming the data and making it ready for gaining valuable business insights.

NOTE: This course is not intended to teach you Python basics and has limited instructional content. Rather, it is intended for you to apply prior Python knowledge.

PRE-REQUISITE: The
Python Basics for Data Science
course from IBM is a pre-requisite for this project course. Before taking this course, please ensure that you have either completed the Python Basics for Data Science from IBM or have equivalent proficiency in working with Python and data.

(Please note we get the conclusion considering from most learners' demands, and hope this will help you.)What skills and knowledge will you acquire during this course?
By taking this course, learners will acquire skills and knowledge in using Python for data engineering tasks such as extracting large data sets from multiple sources through the use of webscraping and APIs, transforming the data and making it ready for gaining valuable business insights. They will also gain an understanding of the related development direction and the importance of data engineering in the modern world. Furthermore, learners will be able to apply their prior Python knowledge to complete the course and earn a skill badge, a detailed, verifiable and digital credential that profiles the knowledge and skills they have acquired. Finally, learners will gain a conclusion on the importance of data engineering and the value of the skill badge.

How does this course contribute to professional growth?
This course contributes to professional growth by providing learners with the knowledge and skills necessary to use Python for data engineering tasks. Learners will gain an understanding of the related development direction and the importance of data engineering in the modern world. Furthermore, learners will be able to apply their prior Python knowledge to complete the course and earn a skill badge, a detailed, verifiable and digital credential that profiles the knowledge and skills they have acquired. Finally, learners will gain a conclusion on the importance of data engineering and the value of the skill badge. This course also provides learners with the opportunity to explore career paths such as data engineer, data scientist, data analyst, and business intelligence developer, as well as education paths such as a Bachelor of Science in Data Science, Master of Science in Data Engineering, Doctor of Philosophy in Data Science, and Master of Business Administration in Data Science.

Is this course suitable for preparing further education?
This course is suitable for preparing further education in the field of data engineering. Learners will gain an understanding of the related development direction and the importance of data engineering in the modern world. Furthermore, learners will be able to apply their prior Python knowledge to complete the course and earn a skill badge, a detailed, verifiable and digital credential that profiles the knowledge and skills they have acquired. Finally, learners will gain a conclusion on the importance of data engineering and the value of the skill badge. This course provides a foundation for further education in data engineering, such as a Bachelor of Science in Data Science, Master of Science in Data Engineering, Doctor of Philosophy in Data Science, or Master of Business Administration in Data Science.

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faq FAQ for Python 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 Edx, 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 82 people have participated in this course. The duration of this course is 5.00 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.
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(Please note that the following steps should be performed on Edx's official site.)
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If you're looking for additional Python courses and certifications, our extensive collection at azclass.net will help you.

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