IBM
Python Project for Data Engineering

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IBM

Python Project for Data Engineering

Ramesh Sannareddy
Joseph Santarcangelo
Abhishek Gagneja

Instructors: Ramesh Sannareddy +2 more

62,606 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.6

(794 reviews)

Intermediate level

Recommended experience

Flexible schedule
3 hours to complete
Learn at your own pace
90%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.6

(794 reviews)

Intermediate level

Recommended experience

Flexible schedule
3 hours to complete
Learn at your own pace
90%
Most learners liked this course

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

  • Category: Web Scraping
  • Category: Unit Testing
  • Category: Style Guides
  • Category: Data Processing
  • Category: Restful API
  • Category: Data Transformation
  • Category: SQL
  • Category: Integrated Development Environments
  • Category: Databases
  • Category: Application Programming Interface (API)
  • Category: Code Review
  • Category: Extract, Transform, Load
  • Category: Data Manipulation
  • Category: Python Programming

Details to know

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Assessments

2 assignments¹

AI Graded see disclaimer
Taught in English

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There is 1 module in this course

Module 1 introduces you to Extract, Transform, and Load operations basics. You will learn to extract required information from web pages using web scraping techniques and APIs. You will also access databases using Python and save the processed information as a table in a database.

What's included

5 videos3 readings2 assignments4 app items1 plugin

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Instructors

Instructor ratings
4.5 (208 ratings)
Ramesh Sannareddy
Ramesh Sannareddy
IBM
15 Courses429,369 learners

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IBM

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4.6

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Frequently asked questions

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.