Title: Python for Data Engineering Project
Location: US
Company: IBM
About this course:
You'll gain hands-on experience with critical data engineering tasks in Python Project for Data Engineering. Learn to collect data from APIs and web scraping, extract data from diverse file formats, and transform it for further analysis. You'll also log data operations to ensure transparency and reproducibility.
Enhance your collaborative skills by sharing your Jupyter Notebook in Watson Studio and participating in peer reviews to gain and provide constructive feedback. This module will equip you with the practical knowledge and skills to handle real-world data engineering challenges efficiently.
Perform web scraping and data extraction using APIs
Transform data into specific data types
Log operations and prepare data for loading
Perform ETL tasks using Python and Jupyter Notebooks
Master essential data engineering skills in this module by collecting data using APIs and web scraping, extracting data from various file formats, and transforming it for analysis. Log data operations, share your Jupyter Notebook in Watson Studio, and engage in peer reviews.
Duration: 1 week
Skills:
- Application Programming Interface (API)
- Collaboration
- Constructive Feedback
- Data Collection
- Data Engineering
- Data Science
- Jupyter
- Jupyter Notebook
- Operations
- Python (Programming Language)
- Watson Studio
- Web Scraping
Curriculum:
- Module 1: Etract, Transform, Load (ETL)
- Module 2: Final Project
Show interest and get access to the course
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