Showcase your skills in Data Engineering with this Python Project! This mini-course is intended to apply foundational Python skills by implementing different techniques to collect and work with data. You will 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.
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À propos de ce cours
Basic Python Programming and using Jupyter Notebooks
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Demonstrate your skills in Python for data engineering tasks
Implement webscraping and use APIs to collect data in Python
Assume the role of a Data Engineer working on a real project
Extract, Transform and Load (ETL) data using Jupyter notebooks
Compétences que vous acquerrez
- Information Engineering
- Python Programming
- Jupyter notebooks
- Web Scraping
- Extract Transform Load (ETL)
Basic Python Programming and using Jupyter Notebooks
Votre entreprise pourrait-elle bénéficier de la formation des employés à des compétences recherchées ?
Essayez Coursera pour les affairesOffert par
Programme de cours : ce que vous apprendrez dans ce cours
Python Project for Data Engineering
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- 5 stars75,58 %
- 4 stars16,27 %
- 3 stars4,36 %
- 2 stars0,87 %
- 1 star2,90 %
Meilleurs avis pour PYTHON PROJECT FOR DATA ENGINEERING
Good exposure to an actual ETL process using Python. Very simple to follow
Very informative, interactive and force us to learn and do the things on our own.
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.
The course is enthralling and informative. You can put the knowledge in practice lessons at once. thank you for the great course!
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