- Course Introduction
- Demo: Working with an IDE
- Extract, Transform, Load (ETL)
- (Optional) Web Scraping
- [Optional] REST APIs & HTTP Requests
Python Project for Data Engineering
Quick Facts
particular | details | |||
---|---|---|---|---|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Course overview
The Python Project for Data Engineering certification course, developed by IBM Skills Network and taught by Ramesh Sannareddy, a subject matter expert in data engineering, and Joseph Santarcangelo, a Ph.D., data scientist at IBM, is made available by Coursera, which is intended for participants who want to evaluate their expertise by using web scraping and extracting data with APIs, all with the help of numerous hands-on experiments.
Python Project for Data Engineering online classes provides 9 hours of prerecorded learning materials with an emphasis on assisting participants in obtaining the knowledge necessary to apply fundamental Python abilities by utilizing various data collection and data processing strategies. The Python Project for Data Engineering online course covers subjects such as Watson Studio, Jupyter notebooks, and API functions as well as demonstrates how to extract data from various file formats, change it into particular datatypes, and then load it into a particular source for analysis.
The highlights
- Shareable certificate of completion
- Self-paced course
- 9 hours effort
- 100% online content
- Flexible deadlines
Program offerings
- English video lectures with subtitles
- 100% online content
- Learning resources
- Practice exercises
- Graded assignments
- Graded quizzes
- Accessible on mobile devices and tv.
Course and certificate fees
Depending upon the number of hours required to complete the learning, the participants may choose from any of the following Python Project for Data Engineering certification fees mentioned in the table down below. All these structures include certificates after course completion.
Python Project for Data Engineering Fee Structure
Description | Amount |
1 Month, 20+ hours per week | Rs. 4,117 |
3 Months, 18 hours per week | Rs. 8,234 |
6 Months, 9 hours every week | Rs. 12,352 |
certificate availability
Yes
certificate providing authority
Coursera
Who it is for
What you will learn
After completing the Python Project for Data Engineering online certification, participants will develop a better understanding of the foundational concepts of Python programming for information engineering and data engineering operations. Participants will explore the strategies involved with data operations like extraction, transformation, and loading (ETL) using the functionalities of tools like Watson Studio and Jupyter notebook. Participants will also learn about methodologies involved with web scraping as well as will acquire the skills to use API to extract data in Python.
The syllabus
Module 1: Extract, Transform, Load (ETL)
Videos
Readings
- Helpful Tips for Course Completion
- Pre-requisites and Course Syllabus
- Module Summary: Extract, Transform, Load (ETL)
Quizzes
- Graded Quiz: Extract, Transform, Load (ETL)
- Practice Quiz: Extract, Transform, Load (ETL)
App Items
- Hands-on Lab: Getting Started with IDE
- Hands-on Lab: Extract, Transform, Load (ETL)
- Hands-on Lab: Web scraping and Extracting Data using APIs
- Hands-on Lab: Accessing Databases using Python script
Module 2: Final Project
Assignment
- Graded Quiz: Final Project
Readings
- Congratulations and Next Steps
- Thanks from the Course Team
Peer Review
- Submit your work and grade your peers
App Items
- Practice Project: Extract, Transform and Load GDP data
- Final Project: Acquiring and processing information on world's largest banks
Plugins
- Practice Project Overview
- Final Project Overview
Module 3: (Optional) Python Coding Practices and Packaging Concepts
Videos
- Python Style Guide and Coding Practices
- Unit Testing
- Packaging
Readings
- Module Introduction
- Module Summary: Python Coding Practices and Packaging Concepts
Quiz
- Practice Quiz: Python Coding Practices and Packaging Concepts
App Items
- Hands-on Lab: Static Code Analysis
- Hands-on Lab: Practice Session and Assignment on Unit Testing
- Hands-on Lab: Practice Session and Assignment on Python Packaging
Plugins
- Reading: Static Code Analysis Resources
- Cheatsheet: Python Coding Practices and Packaging Concepts
Instructors
Articles
Popular Articles
Similar Courses


Python Project for Artificial Intelligence and App...
IBM via Coursera


Python Project for Data Science
IBM via Coursera
Courses of your Interest

Build AI Apps with ChatGPT Dall E and GPT 4
Scrimba via Coursera
Artificial Intelligence Ethics in Action
LearnQuest via Coursera
Artificial Creativity
Parsons School of Design, The New Sch... via Coursera

Data Science on Microsoft Azure Using Python Progr...
CloudSwyft Global Systems, Inc via Futurelearn
Angular7 for Intermediate Level
Great Learning
Hashing in Java
Great Learning
Binary Trees
Great Learning

Fullstack Enterprise Mongo Express Vue And Node
Simpliv Learning

Visual Design for Web Designers UI Designers and D...
Simpliv Learning

Learning Algorithms in JavaScript from Scratch
Simpliv Learning
More Courses by IBM
AI Applications With Watson
IBM via Edx
Python for Data Science Project
IBM via Edx
Site Reliability Engineering Capstone
IBM via Edx
Blockchain Framework and Platforms
IBM via Edx
Introduction to System Programming on IBM Z
IBM via Edx
Smarter Chatbots with Node RED and Watson AI
IBM via Edx
Relational Database Administration
IBM via Coursera
Application Development using Microservices and Se...
IBM via Coursera