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- Maximum flexibility to learn at your own pace.
- Cancel anytime.
Estimated Time
20 hours
Enroll by
February 2, 2022
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Prerequisites
Python
In collaboration with
What You Will Learn
Syllabus
Intro to Data Analysis
Prerequisite Knowledge
Python.
Anaconda
Learn to use Anaconda to manage packages and environments for use with Python.
Jupyter Notebooks
Learn to use this open-source web application to combine explanatory text, math equations, code and visualizations in one sharable document.
Data Analysis Process
Learn about the keys steps of the data analysis process and investigate multiple datasets using Python and Pandas.
Pandas and NumPy: Case Study
Perform the entire data analysis process on a dataset and learn to use NumPy and Pandas to wrangle, explore, analyze and visualize data.
Programming Workflow for Data Analysis
Learn about how to carry out analysis outside Jupyter notebook using IPython or the command line interface.
Course Project: Investigate a Dataset
In this project, you’ll choose one of Udacity’s curated datasets and investigate it using NumPy and pandas. You’ll complete the entire data analysis process, starting by posing a question and finishing by sharing your findings.
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
Mat Leonard
Instructor
Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.
Juno Lee
Curriculum Lead at Udacity
Juno is the curriculum lead for the School of Data Science. She has been sharing her passion for data and teaching, building several courses at Udacity. As a data scientist, she built recommendation engines, computer vision and NLP models, and tools to analyze user behavior.
Intro to Data Analysis
Get Started Today
- Enroll Now
Learn
The 5 stages of the data analysis process and work through them with Python libraries Pandas, NumPy, and Matplotlib.
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 data in Python, ideally with the NumPy and/or pandas libraries.How is this course structured?
The Intro to Data Analysis 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.