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Data Wrangling

Course

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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06Days04Hrs31Min41Sec

  • Estimated time
    20 hours

  • Enroll by
    October 12, 2022

    Get access to classroom immediately on enrollment

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

What You Will Learn

  1. Data Wrangling

    20 hours to complete

    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.

    Prerequisite knowledge

    1. 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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            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 programs include:

            • 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

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

            • Workspaces

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

            • 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 offerings

            • Class content

              • Real-world projects
              • Project reviews
              • Project feedback from experienced reviewers
            • Student services

              • Technical mentor support
              • Student community

            Succeed with personalized services.

            We provide services customized for your needs at every step of your learning journey to ensure your success.

            Get timely feedback on your projects.

            • Personalized feedback
            • Unlimited submissions and feedback loops
            • Practical tips and industry best practices
            • Additional suggested resources to improve
            • 1,400+

              project reviewers

            • 2.7M

              projects reviewed

            • 88/100

              reviewer rating

            • 1.1 hours

              avg project review turnaround time

            Mentors available to answer your questions.

            • Support for all your technical questions
            • Questions answered quickly by our team of technical mentors
            • 1,400+

              technical mentors

            • 0.85 hours

              median response time

            Learn with the best.

            Learn with the best.

            • Josh Bernhard

              Data Scientist at Nerd Wallet

              Josh has been sharing his passion for data for nearly a decade at all levels of university, and as Lead Data Science Instructor at Galvanize. He's used data science for work ranging from cancer research to process automation.

            • David Venturi

              Data Analyst Instructor

              Formerly a chemical engineer and data analyst, David created a personalized data science master's program using online resources. He has studied hundreds of online courses and is excited to bring the best to Udacity students.

            • Sam Nelson

              Product Lead

              Sam is the Product Lead for Udacity’s Data Analyst, Business Analyst, and Data Foundations programs. He’s worked as an analytics consultant on projects in several industries, and is passionate about helping others improve their data skills.

            Data Wrangling

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            Data Wrangling

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