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University of Colorado Boulder - Data Wrangling with Python Project 

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  • Public/Government Institute

Data Wrangling with Python Project
 at 
Coursera 
Overview

Duration

25 hours

Total fee

Free

Mode of learning

Online

Official Website

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Credential

Certificate

Data Wrangling with Python Project
Table of content
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  • Overview
  • Highlights
  • Course Details
  • Curriculum

Data Wrangling with Python Project
 at 
Coursera 
Highlights

  • Earn a certificate of completion
  • Add to your LinkedIn profile
  • 5 assignments
Details Icon

Data Wrangling with Python Project
 at 
Coursera 
Course details

What are the course deliverables?
  • What you'll learn
  • Initiate and conduct a data wrangling project from raw data to a refined dataset for analysis.
  • Apply data wrangling techniques learned in the specialization to handle real-life data scenarios.
  • Utilize Python libraries and tools effectively for data wrangling tasks. Communicate and present data wrangling results effectively to stakeholders.
More about this course
  • The "Data Wrangling Project" course provides students with an opportunity to apply the knowledge gained throughout the specialization in a real-life data wrangling project of their interest. Participants will follow the data wrangling pipeline step by step, from identifying data sources to processing and integrating data, to achieve a fine dataset ready for analysis. This course enables students to gain hands-on experience in the data wrangling process and prepares them to handle complex data challenges in real-world scenarios.
  • Throughout the course, students will work on their data wrangling project, applying the knowledge and skills gained in each module to achieve a refined and well-prepared dataset. By the end of the course, participants will be proficient in the data wrangling process and ready to tackle real-world data challenges in diverse domains.
Read more

Data Wrangling with Python Project
 at 
Coursera 
Curriculum

Data Wrangling Pipeline

Identify Your Data

Data Collection and Integration

Data Understanding and Visualization

Data Processing and Manipulation

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Data Wrangling with Python Project
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