Course

Data Wrangling

Learn the most efficient methods for gathering raw “dirty” data and cleaning it up for analysis. After finishing this course, you’ll be able to gather messy data from a variety of sources and “tidy” it up in no time using the powerful Python library, pandas.
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  • DAYS
  • HRS
  • MIN
  • SEC
  • Estimated Time
    20 hours

  • Enroll by
    September 22, 2021

    Get access to classroom immediately on enrollment

  • Prerequisites
    Python & SQL
In collaboration with
  • Kaggle
  • Mode

What You Will Learn

Syllabus

Data Wrangling

Knowing how to “wrangle data” (aka write code that cleans up “dirty” data and shapes it into useful formats) is a universally sought-after skill across data-driven companies. In this course you’ll learn how to leverage the power of Python to quickly gather, assess & clean messy data so it can be explored and analyzed easily.

In this course you’ll learn how to leverage the power of Python to quickly gather, assess & clean messy data so it can be explored and analyzed easily.

Prerequisite Knowledge

Python & SQL.

  • Intro to Data Wrangling

    Identify each step of the data wrangling process (gathering assessing, and cleaning) and wrangle a CSV file downloaded from Kaggle using fundamental gathering, assessing and cleaning code.

  • Gathering Data

    Gather data from multiple sources, including gathering files, programmatically downloading files, web-scraping data and accessing data from APIs.

  • Assessing Data

    Assess data visually and programmatically using pandas and identify data quality issues and categorize them using metrics: validity, accuracy, completeness, consistency and uniformity.

  • Cleaning Data

    Identify each step of the data cleaning process (defining, coding and testing) and clean data using Python and Pandas.

  • Course Project: Wrangle and Analyze Data

    Real-world data rarely comes clean. Using Python, you’ll gather data from a variety of sources, assess its quality and tidiness, then clean it. You’ll document your wrangling efforts in a Jupyter Notebook, plus showcase them through analyses and visualizations using Python and SQL.

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59%

of companies plan to increase positions requiring data analysis skills.

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Introducing new Udacity Single Courses

Our students asked and we listened. You can now get the in-demand tech skills you need faster and for less money by enrolling in one of our new, one-month Single Courses. You’ll get the specific job-ready skills you need in as little as four weeks and for a fraction of the cost.

Of course if you are looking for a more robust, in-depth education, you can still enroll in one of our 3-6 month Nanodegree programs.

Both programs are part-time and online, and they both offer 24/7 support, quality Udacity-produced content, courses created with the help of top tech companies, and more. You can always start with a Single Course and upgrade to a full Nanodegree program if you like.

All Our Courses Include

Real-world projects from industry experts

Real-world projects from industry experts

With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.
Technical mentor support

Technical mentor support

Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you and keeping you on track.
Workspaces

Workspaces to see your code in action

Validate your understanding of concepts learned by checking the output and quality of your code in real-time.
Flexible learning program

Flexible learning program

Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
Course OfferingsFull list of offerings included:
Enrollment Includes:
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Data Wrangling

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  • Monthly Access

    Pay as you go


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    • Maximum flexibility to learn at your own pace.
    • Cancel anytime.
  • Learn

    How to quickly gather, assess, and clean data from multiple sources using Python’s popular pandas library.
  • Average Time

    On average, successful students take 20 hours to complete this program.
  • Benefits include

    • Real-world projects from industry experts
    • Technical mentor support

Program Details

  • Do I need to apply? What are the admission criteria?
    No. This Course accepts all applicants regardless of experience and specific background.
  • What are the prerequisites for enrollment?
    In order to succeed in this program, we recommend having experience working with SQL and with data in Python, ideally with the NumPy and/or pandas libraries.
  • How is this course structured?
    The Data Wrangling course is comprised of content and curriculum to support one project. We estimate that students can complete the program in 20 hours.

    The project will be reviewed by the Udacity reviewer network and platform. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.
  • How long is this course?
    Access to this course runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our programs.
  • Can I switch my start date? Can I get a refund?
    Please see the Udacity Program Terms of Use and FAQs for policies on enrollment in our programs.
  • What software and versions will I need in this course?
    You will need access to the Internet, and a 64 bit computer. Additional software such as Python and its common data analysis libraries (e.g., Numpy and Pandas) will be required, but the program will guide students on how to download once the course has begun.

Data Wrangling

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