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.
ofrecido por
IBMAcerca de este Curso
40.875 vistas recientes
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel intermedio
Basic Python Programming and using Jupyter Notebooks
Aprox. 6 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Qué aprenderás
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 obtendrás
- Extraction, Transformation And Loading (ETL)
- Python Programming
- Information Engineering
- Web Scraping
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel intermedio
Basic Python Programming and using Jupyter Notebooks
Aprox. 6 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido 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 - Qué aprenderás en este curso
6 horas para completar
Python Project for Data Engineering
6 horas para completar
1 video (Total 7 minutos), 6 lecturas, 8 cuestionarios
Reseñas
- 5 stars72,89 %
- 4 stars19,62 %
- 3 stars4,20 %
- 2 stars0,46 %
- 1 star2,80 %
Principales reseñas sobre PYTHON PROJECT FOR DATA ENGINEERING
por BT20 de sep. de 2021
This project helped me to review the previous course Python for Data science
por VB30 de may. de 2021
Should update contents as the names of api changes.
por PB11 de jul. de 2021
A well-structured course, but there were some misleading info in the labs.
por IM12 de jul. de 2021
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.
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