Python Project for Data Engineering

BY
IBM via Coursera

Gain a practical understanding of the functionalities of Python for data engineering operations including ETL.

Lavel

Intermediate

Mode

Online

Duration

3 Weeks

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

What you will learn

Knowledge of python

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
  • Course Introduction
  • Demo: Working with an IDE
  • Extract, Transform, Load (ETL)
  • (Optional) Web Scraping
  • [Optional] REST APIs & HTTP Requests
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

Mr Ramesh Sannareddy

Mr Ramesh Sannareddy
Instructor
IBM

Other Bachelors

Mr Joseph Santarcangelo

Mr Joseph Santarcangelo
Data Scientist
IBM

Ph.D

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