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Fundamental Tools of Data Wrangling
  • Level Foundation
  • Duration 27 hours
  • Course by University of Colorado Boulder
  • Offered by

About

Data wrangling is a crucial step in the data analysis process, as it involves the transformation and preparation of raw data into a suitable format for analysis. The "Fundamental Tools for Data Wrangling" course is designed to provide participants with essential skills and knowledge to effectively manipulate, clean, and analyze data. Participants will be introduced to the fundamental tools commonly used in data wrangling, including Python, data structures, NumPy, and pandas. Through hands-on exercises and practical examples, participants will gain the necessary proficiency to work with various data formats and effectively prepare data for analysis. In this course, participants will dive into the world of data manipulation using Python as the primary programming language. They will learn about data structures, such as lists, dictionaries, and arrays, and how to use them to store and organize different types of data. Furthermore, participants will explore the power of Python packages like random and math for generating and performing mathematical operations on data. They will also be introduced to NumPy, a powerful library for numerical computing, and learn how to efficiently work with multi-dimensional arrays and matrices. A significant focus of the course will be on pandas, a versatile library for data manipulation and analysis. Participants will discover various techniques to clean, reshape, and aggregate data using pandas, enabling them to derive valuable insights from messy datasets.

Modules

Python Fundamentals

    • 2 Videos
    • 3 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Python Fundamentals Quiz

2 Videos

  • Course Overview
  • Python Fundamentals

3 Readings

  • Assessment Strategy
  • Python Fundamentals Slides
  • Python Fundamentals Practice Lab

Python Functions

    • 1 Videos
    • 2 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Python Functions Quiz

1 Videos

  • Python Functions

2 Readings

  • Python Functions Slides
  • Python Functions Practice Lab

Python Packages

    • 1 Videos
    • 2 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Python Packages Quiz

1 Videos

  • Python Packages

2 Readings

  • Python Packages Slides
  • Python Packages Practice Lab

Data Structure - List

    • 1 Videos
    • 2 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • List Quiz

1 Videos

  • Data Structure - List

2 Readings

  • List Demo
  • List Practice Lab

String

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • String Quiz

1 Videos

  • String

1 Readings

  • String Demo

Data Structure - Set

    • 1 Videos
    • 2 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Set Quiz

1 Videos

  • Data Structure - Set

2 Readings

  • Set Demo
  • Set Practice Lab

Data Structure - Dictionary

    • 1 Videos
    • 2 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Dictionary Quiz

1 Videos

  • Data Structure - Dictionary

2 Readings

  • Dictionary Demo
  • Dictionary Practice Lab

Numpy Basics

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • Numpy Basics

1 Readings

  • Numpy Basics Demo

Numpy Advanced

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • Numpy Advanced

1 Readings

  • Numpy Advanced Demo

Numpy Masks

    • 1 Videos
    • 2 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Numpy Quiz

1 Videos

  • Numpy Masks

2 Readings

  • Numpy Masks Demo
  • Numpy Practice Lab

Pandas Series

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • Pandas Series

1 Readings

  • Pandas Series Demo

Pandas DataFrame

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • Pandas DataFrame

1 Readings

  • Pandas DataFrame Demo

Pandas Advanced

    • 1 Videos
    • 2 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Pandas Quiz

1 Videos

  • Pandas Advanced

2 Readings

  • Pandas Advanced Demo
  • Pandas Practice Lab

Dummy Dataset Creation

    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Self Reflection

1 Readings

  • Dummy Dataset Creation

Auto Summary

Unlock the potential of data with the "Fundamental Tools of Data Wrangling" course on Coursera. Dive into data manipulation using Python, exploring essential tools like lists, dictionaries, NumPy, and pandas. With hands-on exercises, gain skills to clean, reshape, and analyze data efficiently. Ideal for beginners in Data Science & AI, this 1620-minute foundational course is accessible via Starter and Professional subscriptions.

Di Wu
Instructor

Di Wu