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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Über diesen Kurs
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
Kompetenzen, die Sie erwerben
- Information Engineering
- Python Programming
- Jupyter notebooks
- Web Scraping
- Extract Transform Load (ETL)
Basic Python Programming and using Jupyter Notebooks
Könnte Ihr Unternehmen von Mitarbeiterweiterbildungen für gefragte Kompetenzen profitieren?
Probieren Sie Coursera for Business ausLehrplan - Was Sie in diesem Kurs lernen werden
Python Project for Data Engineering
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- 5 stars75,51 %
- 4 stars16,32 %
- 3 stars4,37 %
- 2 stars0,87 %
- 1 star2,91 %
Top-Bewertungen von PYTHON PROJECT FOR DATA ENGINEERING
Should update contents as the names of api changes.
It was really well done and I found it difficult to complete. But I managed to complete it and it showed me my limitations and what I need to work on before moving onto the next course. Thanks a lot.
This project helped me to review the previous course Python for Data science
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.
Häufig gestellte Fragen
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