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.
oferecido por
IBMInformações sobre o curso
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Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível intermediário
Basic Python Programming and using Jupyter Notebooks
Aprox. 7 horas para completar
Inglês
Legendas: Inglês
O que você vai aprender
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
Habilidades que você terá
- Extraction, Transformation And Loading (ETL)
- Python Programming
- Information Engineering
- Web Scraping
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível intermediário
Basic Python Programming and using Jupyter Notebooks
Aprox. 7 horas para completar
Inglês
Legendas: Inglês
oferecido por
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.
Programa - O que você aprenderá com este curso
7 horas para concluir
Python Project for Data Engineering
7 horas para concluir
1 vídeo (Total 7 mín.), 6 leituras, 9 testes
Avaliações
- 5 stars72,84%
- 4 stars18,96%
- 3 stars4,31%
- 2 stars0,43%
- 1 star3,44%
Principais avaliações do PYTHON PROJECT FOR DATA ENGINEERING
por SV21 de set de 2021
Very informative, interactive and force us to learn and do the things on our own.
por VB30 de mai de 2021
Should update contents as the names of api changes.
por PD1 de ago de 2021
This course is very challenged both Python skills for Extract Transform and Load assignment. I really enjoyed it.
por BT20 de set de 2021
This project helped me to review the previous course Python for Data science
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