This mini-course is intended to apply foundational Python skills by implementing different techniques to collect and work with data. Assume the role of a Data Engineer and extract data from multiple file formats, transform it into specific datatypes, and then load it into a single source for analysis. Continue with the course and test your knowledge by implementing webscraping and extracting data with APIs all with the help of multiple hands-on labs. After completing this course you will have acquired the confidence to begin collecting large datasets from multiple sources and transform them into one primary source, or begin web scraping to gain valuable business insights all with the use of Python.
제공자:
IBM이 강좌에 대하여
최근 조회 44,950회
유동적 마감일
일정에 따라 마감일을 재설정합니다.
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
중급 단계
Basic Python Programming and using Jupyter Notebooks
완료하는 데 약 5시간 필요
영어
자막: 영어
배울 내용
Demonstrate your Skills in Python - the language of choice for Data Engineering
Implement Webscraping, and use APIs to extract data in Python
Play the role of a Data Engineer working on a real project to extract, transform and load data using Jupyter notebook and Watson Studio
귀하가 습득할 기술
Extraction, Transformation And Loading (ETL)Python ProgrammingInformation EngineeringWeb Scraping
유동적 마감일
일정에 따라 마감일을 재설정합니다.
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
중급 단계
Basic Python Programming and using Jupyter Notebooks
완료하는 데 약 5시간 필요
영어
자막: 영어
제공자:
IBM
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 5시간 필요
Python Project for Data Engineering
완료하는 데 5시간 필요
1개 동영상 (총 7분), 6 개의 읽기 자료, 7 개의 테스트
검토
PYTHON PROJECT FOR DATA ENGINEERING의 최상위 리뷰
IM 제공2021년 7월 12일
The rubric for grading is not correct for question 3. The instructions to the API questions is confusing. It asks for Country Name, but it seems that the quiz was looking for bank name.
PD 제공2021년 8월 1일
This course is very challenged both Python skills for Extract Transform and Load assignment. I really enjoyed it.
SV 제공2021년 9월 21일
Very informative, interactive and force us to learn and do the things on our own.
BT 제공2021년 9월 20일
This project helped me to review the previous course Python for Data science
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