IBM
1 week at 10 hours per week
In this hands-on data engineering project, you will demonstrate your Python skills by extracting, transforming, and loading data from various sources, including web scraping and APIs.
This course requires basic Python programming skills and experience using Jupyter Notebooks. Learners should have completed the 'Python for Data Science, AI & Development' course or have equivalent Python knowledge.
This course covers the following topics: - Extract, Transform, and Load (ETL) operations using Python - Web scraping techniques to extract data from web pages - Utilizing APIs to extract data - Accessing databases using Python scripts - Applying best practices for Python coding and packaging
IBM is a leading technology company with extensive expertise in data engineering, analytics, and cloud computing. This course is designed by IBM experts to provide learners with practical, job-relevant skills in data engineering using Python.
After completing this course, you will have demonstrated your proficiency in Python for data engineering tasks, including web scraping, API integration, and database access. This project-based course will enhance your portfolio and showcase your skills to potential employers in the data engineering field.
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