This mini-course is intended to apply foundational Python skills by implementing different techniques to collect and work with data. 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. After completing this course you will have acquired the confidence to begin collecting large datasets from multiple sources and transform them into one primary source, or begin web scraping to gain valuable business insights all with the use of Python.
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Prerequisite: Python for Data Science, AI and Developmentcourse from IBM is a pre-requisite for this project course. Please ensure that before taking this course you have either completed the Python for Data Science, AI and Development course from IBM or have equivalent proficiency in working with Python and data.
NOTE: This course is not intended to teach you Python and does not have too much instructional content. It is intended for you to apply prior Python knowledge.
Completing this course will count towards your learning in any of the following programs:
What You Will Learn
- Demonstrate your Skills in Python - the language of choice for Data Engineering
- Implement Webscraping, and use APIs to extract data in Python
- Play the role of a Data Engineer working on a real project to extract, transform and load data using Jupyter notebook and Watson Studio
Syllabus
WEEK 1: Python Project for Data Engineering
