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Estimated Time
20 hours
Enroll by
June 29, 2022
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Prerequisites
Python & SQL
In collaboration with
What You Will Learn
Syllabus
Data Wrangling
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.
59%
of companies plan to increase positions requiring data analysis skills.
Introducing new Udacity Single Courses
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.
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.
Course OfferingsFull list of offerings included:
Enrollment Includes:
Class content
Real-world projects
Project reviews
Project feedback from experienced reviewers
Student services
Technical mentor support
New
Student community
Improved
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.
Reviews By the numbers
1,400+ project reviewers
2.7M projects reviewed
88/100 reviewer rating
1.1 hours avg project review turnaround time
Reviewer Services
- Personalized feedback
- Unlimited submissions and feedback loops
- Practical tips and industry best practices
- Additional suggested resources to improve
Mentors available to answer your questions.
Mentors by the numbers
1,400+ technical mentors
0.85 hours median response time
Mentorship Services
- Support for all your technical questions
- Questions answered quickly by our team of technical mentors
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
Get started today
- Enroll now
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.