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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About this Course
Basic Python Programming and using Jupyter Notebooks
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
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
Skills you will gain
- Information Engineering
- Python Programming
- Jupyter notebooks
- Web Scraping
- Extract Transform Load (ETL)
Basic Python Programming and using Jupyter Notebooks
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Python Project for Data Engineering
Reviews
- 5 stars75.96%
- 4 stars16.02%
- 3 stars4.41%
- 2 stars0.82%
- 1 star2.76%
TOP REVIEWS FROM PYTHON PROJECT FOR DATA ENGINEERING
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.
Beautiful and challenging project. The project measures that students understand and complete the ELT process taught in the previous module.
Should update contents as the names of api changes.
This course is very challenged both Python skills for Extract Transform and Load assignment.
I really enjoyed it.
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