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IBM - Python Project for Data Engineering 

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Python Project for Data Engineering
 at 
Coursera 
Overview

Duration

5 hours

Start from

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Total fee

Free

Mode of learning

Online

Difficulty level

Intermediate

Official Website

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Credential

Certificate

Python Project for Data Engineering
 at 
Coursera 
Highlights

  • Shareable Certificate Earn a Certificate upon completion
  • 100% online Start instantly and learn at your own schedule.
  • Course 3 of 5 in the Data Engineering Foundations Specialization
  • Flexible deadlines Reset deadlines in accordance to your schedule.
  • Intermediate Level Basic Python Programming and using Jupyter Notebooks
  • Approx. 5 hours to complete
  • English Subtitles: English
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Python Project for Data Engineering
 at 
Coursera 
Course details

Skills you will learn
More about this course
  • This mini-course is intended to apply foundational Python skills by implementing different techniques to collect and work with data. Assume the role of a Data Engineer and extract data from multiple file formats, transform it into specific datatypes, and then load it into a single source for analysis. Continue with the course and test your knowledge by implementing webscraping and extracting data with APIs all with the help of multiple hands-on labs. After completing this course you will have acquired the confidence to begin collecting large datasets from multiple sources and transform them into one primary source, or begin web scraping to gain valuable business insights all with the use of Python.
  • 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 instructional content. It is intended for you to apply prior Python knowledge.
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Python Project for Data Engineering
 at 
Coursera 
Curriculum

Python Project for Data Engineering

Extract, Transform, Load (ETL)

Course Introduction

Project Overview

Completing your project using Watson Studio

Jupyter Notebook to complete your final project

Hands-on Lab: Perform ETL

Next Steps

Practice Quiz

Webscraping

Extracting Data using API

Python Project for Data Engineering
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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    Python Project for Data Engineering
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