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:


이 강좌에 대하여
Basic Python Programming and using Jupyter Notebooks
배울 내용
Demonstrate your skills in Python
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 Programming
- Information Engineering
- Web Scraping
Basic Python Programming and using Jupyter Notebooks
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 계획표 - 이 강좌에서 배울 내용
Python Project for Data Engineering
검토
- 5 stars72.24%
- 4 stars20.09%
- 3 stars4.30%
- 2 stars0.47%
- 1 star2.87%
PYTHON PROJECT FOR DATA ENGINEERING의 최상위 리뷰
This project helped me to review the previous course Python for Data science
A well-structured course, but there were some misleading info in the labs.
Very informative, interactive and force us to learn and do the things on our own.
This course is very challenged both Python skills for Extract Transform and Load assignment. I really enjoyed it.
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