IBM

Python Project for Data Engineering

This course is part of multiple programs.

Taught in English

Some content may not be translated

Ramesh Sannareddy
Joseph Santarcangelo
Abhishek Gagneja

Instructors: Ramesh Sannareddy

39,425 already enrolled

Course

Gain insight into a topic and learn the fundamentals

4.6

(573 reviews)

|

88%

Intermediate level

Recommended experience

9 hours (approximately)
Flexible schedule
Learn at your own pace

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

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

3 quizzes, 1 assignment

Course

Gain insight into a topic and learn the fundamentals

4.6

(573 reviews)

|

88%

Intermediate level

Recommended experience

9 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 3 modules 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 quizzes4 app items1 plugin

In this lesson, you will complete two projects, one for practice and one for assessment to apply what you’ve learned. These projects have you implement your skills learned in the previous course and the last module regarding the Extract, Transform, and Load process using web scraping and accessing databases using REST APIs and Python.

What's included

2 readings1 assignment1 peer review2 app items2 plugins

In this bonus module, you will become familiar with the best practices for coding as documented in the Python Enhancement Proposal (PEP8) style guide. You will learn about static code analysis, ensuring that your code adheres to the coding rules. Next, you will learn how to create and run unit tests. Finally, you will learn how to create, verify, and run Python packages.

What's included

3 videos2 readings1 quiz3 app items2 plugins

Instructors

Instructor ratings
4.5 (156 ratings)
Ramesh Sannareddy
IBM
11 Courses200,424 learners

Offered by

IBM

Recommended if you're interested in Data Management

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Showing 3 of 573

4.6

573 reviews

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    14.83%

  • 3 stars

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  • 2 stars

    1.39%

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    2.79%

SS
4

Reviewed on Oct 21, 2021

RR
5

Reviewed on Aug 1, 2022

NS
5

Reviewed on Aug 11, 2021

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