Ementorhub

What you'll learn

Demonstrate your skills in Python for working with and manipulating data

Implement webscraping and use APIs to extract data with Python

Play the role of a Data Engineer working on a real project to extract, transform, and load data

Use Jupyter notebooks and IDEs to complete your project

Skills you'll gain

Python Programming

Web Scraping

Unit Testing

Integrated Development Environments

Restful API

Style Guides

SQL

Databases

Data Processing

Application Programming Interface (API)

Data Manipulation

Code Review

Data Transformation

Extract, Transform, Load

There are 3 modules in this course

You will take on the role of a Data Engineer by extracting data from multiple sources, and converting the data into specific formats and making it ready for loading into a database for analysis. You will also demonstrate your knowledge of web scraping and utilizing APIs to extract data. By the end of this hands-on project, you will have shown your proficiency with important skills to Extract Transform and Load (ETL) data using an IDE, and of course, Python Programming. Upon completion of this course, you will also have a great new addition to your portfolio! PRE-REQUISITE: **Python for Data Science, AI and Development** course 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 new instructional content. It is intended for you to mostly apply prior Python knowledge.

Final Project

[Optional] Python Coding Practices and Packaging Concepts