Course Application Steps
This course is part of a certificate program. You can take this course without enrolling in the certificate program, but it won't automatically count toward earning the certificate. To apply to the full certificate program instead, visit the Certificate in Data Science page. We accept course applicants on a space-available basis.
Step 1: Complete the online qualifications assessment quiz
Take the online data science qualifications assessment quiz. Once you start the assessment, you must complete it within 90 minutes.
The assessment includes 30 multiple-choice questions and one written question and is divided into two sections: statistics and linear algebra, and programming. Applicants must earn at least 8 out of 15 points in each section and respond to the written question. After you submit your quiz, you’ll be able to see your score.
Please use the same email address on both your assessment and your application.
Step 2: Gather the Following Materials
- A brief letter (250-word maximum) that describes your relevant skills and knowledge and how you acquired them
- A resume that highlights how your education and any applicable experience fulfill the course’s admission requirements (see requirements link above)
Step 3: Apply
Click "apply online" to complete your application and submit the materials listed in step 2.
After Applying
We will email you before the first class to let you know if you’ve been accepted. If you’re accepted, we’ll send you details about your course, including information on paying your course fee.
ADMISSION REQUIREMENTS
To apply to the course, you must have:
COMPUTER PROGRAMMING SKILLS
- A score of 8/15 on the programming section of the data science assessment quiz
- This quiz will help you assess your readiness for the program. If you score very near the cutoff, contact our Enrollment Services team to discuss options for independent study or additional coursework you can do before starting the program.
- A high level of applied computer programming ability as demonstrated by one of the following:
- Successful completion of three or more quarters of increasingly advanced college-level coursework in the same computer programming language (preferably Python, R, Java or C#)
- Equivalent work experience in computer programming, including tasks requiring application of numerical and logical reasoning, control structures and complex procedures (preferably in Python, R, Java or C#)
- Successful completion of Foundations of Programming (Python), Programming in Python and Advanced Programming in Python
QUANTITATIVE SKILLS
- A score of at least 8/15 in the quantitative section of the data science assessment quiz
- A high level of applied quantitative ability as demonstrated by one of the following:
- Successful completion of college-level coursework in calculus, statistics and linear algebra
- Equivalent work experience in quantitative methods, including tasks requiring calculus, statistics and linear algebra
DATA SCIENCE SKILLS
- Foundational professional knowledge in data science, including methodologies for solving large-scale analytics problems using Python
English Proficiency
If English is not your native language, you should have at least intermediate English skills to enroll. To see if you qualify, make sure you are at the B2 level on the CEFR self-assessment grid. To learn more, see English Language Proficiency Requirements – Noncredit Programs.
International Students
Because this offering is 100% online, no visa is required and international students are welcome to apply. For more information, see Admission Requirements for International Students.
TECHNOLOGY REQUIREMENTS
- Access to a computer with:
- A recent operating system and a current web browser such as Edge, Safari, Firefox or Chrome
- At least 4GB and preferably 8GB of RAM
- Administrator privileges to install software
- Anaconda Distribution with Python 3.7+ version
- High-speed internet connection
- Headset and webcam (recommended)
- Dual monitors (recommended)
Completing the Course
To successfully complete this course, you must fulfill the requirements outlined by your instructor.