Data for impact
9 - 12 months
6184569
These Courses are Perfect For
- Aspiring data professionals and analysts aiming to drive business decisions through data
- Professionals seeking flexible, intensive upskilling with career and international appeal
- Learners aiming to build tangible data skills and credentials in high-demand areas
Program review underway
As we evolve our programs to reflect today’s technology landscape, the certificate in Data Science and Data Analytics is under review and is not currently open for new enrollment. If you are enrolled in this certificate and are finishing up your courses, please reach out to us at extension@ucsc.edu. We will help you plan your journey.
After reviewing the current market conditions and engaging with industry, we are now offering new short programs, that are flexible paths to get the skills you need fast. During this time, our certificate programs continue to be under review and we are committed to assisting all enrolled students to finish the certificate programs. To learn more, visit our Short Programs page.
Courses are open to everyone
You are invited to enroll in individual courses to build your knowledge and develop new skills.
Learn the language of data
The Data Science and Data Analytics courses equip students with practical and analytical skills essential for success in today’s data-driven industries. The required coursework builds a solid foundation in database design and SQL programming, data analysis, and Big Data technologies.
Students learn to handle and work with relational databases, manipulate, transform, and visualize data using R and Python, and design efficient data pipelines using modern frameworks such as Hadoop, Spark, Hive, and Kafka.
Courses introduce concepts in generative AI, highlighting its growing impact on data science.
Focus your studies
Learners can choose pathways in data science, artificial intelligence, or data engineering and focus their exploration on machine learning, deep learning, data visualization, or cloud-scale database systems.
Guided by Silicon Valley industry experts, the program emphasizes hands-on, project based learning and culminates in a professional portfolio that demonstrates readiness for data-focused roles across industries.
Courses
Program Requirements
Total: 5 courses (15 quarter units).
- 3 required courses (9 quarter units)
- 2 elective courses (minimum 6 quarter units)
- End with certificate of completion review.
1. Required Course(s):
DBDA.X415
$910
You may enroll in this offering at any time.
Jan. 5 - Apr. 6, Tue, 12:01am - 11:59pm
- Online Self-Paced Work online at your own pace.
DBDA.X415.(864)
Schedule
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Tue, 01-05-2027 | 12:01am | 12:02am | Online Self-Paced | ONLINE |
| Tue, 04-06-2027 | 11:58pm | 11:59pm | Online Self-Paced | ONLINE |
Note: Based on the requirements for special programs, such as CMU, students may complete this course early and receive a letter grade before the official end date. Click here for details.
Online Self-Paced courses have a structured learning environment where students are allowed to complete the work at their own pace. Students may complete the coursework early or use the entire duration of the course. This course is largely self-study with instructor guidance and includes online learning modules, assignments, and/or quizzes. All course materials and assignments will be available at the beginning of the course on Canvas, our learning management system.
For this section, student access begins on January 5, but you may still enroll until February 9. All course work must be completed by 11:59 pm on April 6, 2027.
You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.
Required Tools & Materials: MySQL Workbench: (https://www.mysql.com/products/workbench/)
System Requirements: Students are required to have access to a computer with a 8GB of RAM preferred (4GB minimum) and the ability to install software. For further details, see https://www.mysql.com/support/supportedplatforms/workbench.html.
Recommended Tools & Materials
Murach's MySQL, Joel Murach, Mike Murach & Associates, 2019, ISBN 978-1943872367.
Sams Teach Yourself SQL in 24 Hours, Ryan Stephens, et al., Sams Publishing, 2021, ISBN: 978-0672335419.
Additional Information
AI*: This course encourages the responsible use of AI tools such as ChatGPT for examining SQL practice queries, so that students can obtain explanations and improvements for their code.
Fall
Currently no classes scheduled. Would you like to be notified when a class is available?
Fall
2. Electives: Data Science
DBDA.X420
$980
You may enroll in this offering at any time.
Jan. 26 - Mar. 30, Tue, 6:00pm - 9:00pm
- Live-Online Attend via Zoom at scheduled times.
DBDA.X420.(38)
Schedule
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Tue, 01-26-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 02-02-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 02-09-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 02-16-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 02-23-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 03-02-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 03-09-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 03-16-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 03-23-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 03-30-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
This class is offered in an online synchronous format. Students are expected to log into this course via Canvas at the start time of scheduled meetings and participate via Zoom, for the duration of each scheduled class meeting.
To see all meeting dates, click “Full Schedule” below.
You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.
Required Tools & Materials:
Access to a computer with Python version 3.6 or higher and Jupyter Notebook is required. The recommended software to obtain the required tools for this course is Anaconda, free Individual Edition: https://www.anaconda.com/products/individual
Murach's Python for Data Science, Scott McCoy, Murach and Associates, 2024, ISBN: 9781943873173.
Recommended Tools & Materials:
Python for Data Analysis, Wes McKinney, O'Reilly Media, Inc., 2022-08-12, ISBN: 9781098103989.
Winter
DBDA.X419
$980
You may enroll in this offering at any time.
Jan. 14 - Mar. 18, Thu, 6:00pm - 9:00pm
- Live-Online Attend via Zoom at scheduled times.
DBDA.X419.(18)
Schedule
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Thu, 01-14-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Thu, 01-21-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Thu, 01-28-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Thu, 02-04-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Thu, 02-11-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Thu, 02-18-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Thu, 02-25-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Thu, 03-04-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Thu, 03-11-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Thu, 03-18-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
This class is offered in an online synchronous format. Students are expected to log into this course via Canvas at the start time of scheduled meetings and participate via Zoom, for the duration of each scheduled class meeting.
To see all meeting dates, click “Full Schedule” below.
You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.
Required Tools & Materials: Tableau desktop for Mac/Windows - latest edition from Tableau.com
Recommended Text:
Data Visualization: A Practical Introduction, Kieran Healy, Princeton University Press, 2018. ISBN: 9780691185064
Winter
DBDA.X421
$910
You may enroll in this offering at any time.
Jan. 13 - Mar. 17, Wed, 6:00pm - 9:00pm
- Live-Online Attend via Zoom at scheduled times.
DBDA.X421.(17)
Schedule
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Wed, 01-13-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Wed, 01-20-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Wed, 01-27-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Wed, 02-03-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Wed, 02-10-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Wed, 02-17-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Wed, 02-24-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Wed, 03-03-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Wed, 03-10-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Wed, 03-17-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
This class is offered in an online synchronous format. Students are expected to log into this course via Canvas at the start time of scheduled meetings and participate via Zoom, for the duration of each scheduled class meeting.
To see all meeting dates, click “Full Schedule” below.
You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.
Required Tools & Materials: Students will need access to a computer and the ability to install software. Open source data modeling software can be found at: https://www.mysql.com/products/workbench/
Recommended Text: Data Modeling Essentials, 3rd edition, Graeme Simsion and Gaham Witt, Morgan Kaufmann, ISBN-10: 0126445516, ISBN-13: 978-0126445510.
|| Prerequisites:
Prerequisites / Skills Needed
Winter
Currently no classes scheduled. Would you like to be notified when a class is available?
Fall
3. Electives: Artificial Intelligence
AISV.X401
$980
You may enroll in this offering at any time.
Jan. 14 - Mar. 18, Thu, 6:30pm - 9:30pm
- Flexible Attend in person or via Zoom at scheduled times.
AISV.X401.(27)
Schedule
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Thu, 01-14-2027 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 01-21-2027 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 01-28-2027 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 02-04-2027 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 02-11-2027 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 02-18-2027 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 02-25-2027 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 03-04-2027 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 03-11-2027 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 03-18-2027 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
This class meets simultaneously in a classroom and remotely via Zoom. Students are expected to attend and participate in the course, either in-person or remotely, during the days and times that are specified on the course schedule. Students attending remotely are also strongly encouraged to have their cameras on to get the most out of the remote learning experience. Students attending the class in-person are expected to bring a laptop to each class meeting.
To see all meeting dates, click "Full Schedule" below.
You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.
Recommended Text:
"Deep Learning", Ian Goodfellow, Yoshua Bengio and Aaron Courville, MIT Press 2016 ISBN# 978-0262035613. A free e-book is available at http://www.deeplearningbook.org (Links to an external site.)
|| Prerequisites:
Prerequisites / Skills Needed
Winter
AISV.X400
$980
You may enroll in this offering at any time.
Jan. 12 - Mar. 16, Tue, 6:00pm - 9:00pm
- Live-Online Attend via Zoom at scheduled times.
AISV.X400.(48)
Schedule
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Tue, 01-12-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 01-19-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 01-26-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 02-02-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 02-09-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 02-16-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 02-23-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 03-02-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 03-09-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 03-16-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
This class is offered in an online synchronous format. Students are expected to log into this course via Canvas at the start time of scheduled meetings and participate via Zoom, for the duration of each scheduled class meeting.
To see all meeting dates, click “Full Schedule” below.
You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.
Required Tools & Materials: None
Recommended Programming Environment: Python, either local computer or Google Colab. Prefer GPU setup.
|| Prerequisites:
Prerequisites / Skills Needed
Winter
DBDA.X427
$980
You may enroll in this offering at any time.
Jan. 8 - Mar. 12, Fri, 5:30pm - 8:30pm
- Live-Online Attend via Zoom at scheduled times.
DBDA.X427.(21)
Schedule
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Fri, 01-08-2027 | 5:30pm | 8:30pm | Live-Online | REMOTE |
| Fri, 01-15-2027 | 5:30pm | 8:30pm | Live-Online | REMOTE |
| Fri, 01-22-2027 | 5:30pm | 8:30pm | Live-Online | REMOTE |
| Fri, 01-29-2027 | 5:30pm | 8:30pm | Live-Online | REMOTE |
| Fri, 02-05-2027 | 5:30pm | 8:30pm | Live-Online | REMOTE |
| Fri, 02-12-2027 | 5:30pm | 8:30pm | Live-Online | REMOTE |
| Fri, 02-19-2027 | 5:30pm | 8:30pm | Live-Online | REMOTE |
| Fri, 02-26-2027 | 5:30pm | 8:30pm | Live-Online | REMOTE |
| Fri, 03-05-2027 | 5:30pm | 8:30pm | Live-Online | REMOTE |
| Fri, 03-12-2027 | 5:30pm | 8:30pm | Live-Online | REMOTE |
This class is offered in an online synchronous format. Students are expected to log into this course via Canvas at the start time of scheduled meetings and participate via Zoom, for the duration of each scheduled class meeting.
To see all meeting dates, click “Full Schedule” below.
You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.
Required Tools & Materials:
Students are expected to have computers with Python 3.x, Jupyter Notebooks, and libraries: Pandas, Matplotlib and Numpy installed. Installing the Anaconda distribution of Python, gives access to Jupyter Notebooks and all the required libraries. Free Individual Edition can be obtained from: https://www.anaconda.com/products/individual
Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems; Aurélien Géron; O'Reilly Media Inc.; 2025. ISBN: 979-8341607989
Recommended Textbooks:
Python Data Science Handbook; Jake VanderPlas; O'Reilly Media Inc.; 2023. ISBN: 9781098121228. Available at: https://jakevdp.github.io/PythonDataScienceHandbook/
Machine Learning with Python Cookbook; Gallatin and Albon; O'Reilly Media Inc.; 2023. ISBN: 9781098135690. Available at: https://learning.oreilly.com/library/view/machine-learning-with/9781098…;
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, Aurélien Géron, O'Reilly Media, Inc., 2022-10-04, ISBN: 9781098122478.
Students can use this textbook as an alternative to the required textbook. Available at O'Reilly for Public Libraries.
Winter
4. Electives: Data Engineering
DBDA.X424
$960
You may enroll in this offering at any time.
Jan. 19 - Mar. 23, Tue, 6:30pm - 9:30pm
- Live-Online Attend via Zoom at scheduled times.
DBDA.X424.(17)
Schedule
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Tue, 01-19-2027 | 6:30pm | 9:30pm | Live-Online | REMOTE |
| Tue, 01-26-2027 | 6:30pm | 9:30pm | Live-Online | REMOTE |
| Tue, 02-02-2027 | 6:30pm | 9:30pm | Live-Online | REMOTE |
| Tue, 02-09-2027 | 6:30pm | 9:30pm | Live-Online | REMOTE |
| Tue, 02-16-2027 | 6:30pm | 9:30pm | Live-Online | REMOTE |
| Tue, 02-23-2027 | 6:30pm | 9:30pm | Live-Online | REMOTE |
| Tue, 03-02-2027 | 6:30pm | 9:30pm | Live-Online | REMOTE |
| Tue, 03-09-2027 | 6:30pm | 9:30pm | Live-Online | REMOTE |
| Tue, 03-16-2027 | 6:30pm | 9:30pm | Live-Online | REMOTE |
| Tue, 03-23-2027 | 6:30pm | 9:30pm | Live-Online | REMOTE |
This class is offered in an online synchronous format. Students are expected to log into this course via Canvas at the start time of scheduled meetings and participate via Zoom, for the duration of each scheduled class meeting.
To see all meeting dates, click "Full Schedule" below.
You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.
Required Tools & Materials: Tools: Students will need to create accounts in AWS and Databricks. Use EMR in AWS and notebooks in Databricks.
Students are required to have computers with 64Bit processors and a minimum of 8GB of memory.
Recommended Texts:
Hadoop: The Definitive Guide, 4th Edition, Tom White, O'Reilly Media, 2015, ISBN-10: 1-4919-0163-2, ISBN-13: 978-1-4919-0163-2
Learning Spark: Lightning-Fast Big Data Analysis, Karau, Konwinski, Wendell and Zaharia, 2015, O'Reilly. ISBN-10: 1449358624.
Programming Hive, Capriolo, Wampler & Rutherglen, 2012, O'Reilly. ISBN-10: 1449319335
Data Algorithms: Recipes for Scaling Up with Hadoop and Spark, Mahmout Parsian, 2015, O'Reilly Media. Print ISBN:978-1-4919-0618-7
|| Skills Needed:
Prerequisites / Skills Needed
DBDA.X409
$910
You may enroll in this offering at any time.
Oct. 13 - Dec. 15, Tue, 6:00pm - 9:00pm
- Live-Online Attend via Zoom at scheduled times.
DBDA.X409.(17)
Schedule
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Tue, 10-13-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 10-20-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 10-27-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 11-03-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 11-10-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 11-17-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 11-24-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 12-01-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 12-08-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 12-15-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
Students may still enroll if they missed the 1st class session. However, they need to communicate with the instructor via Canvas and catch up on all missed work prior to the 2nd class meeting.
8/27/26: Please note that the course start date has been postponed. The course will now begin on October 13, 2026. To see all meeting dates, click "Full Schedule" below.
This class is offered in an online synchronous format. Students are expected to log into this course via Canvas at the start time of scheduled meetings and participate via Zoom, for the duration of each scheduled class meeting.
To see all meeting dates, click "Full Schedule" below.
You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.
Recommended Tools & Materials: Learning MySQL, Grippa, Vinicius M., Kuzmichev, Sergey, O'Reilly Media, 2021, ISBN: 9781492085881.
|| Skills Needed:
Prerequisites / Skills Needed
Fall
Currently no classes scheduled. Would you like to be notified when a class is available?
Fall
5. Completion Review:
O-CE0122
$95
You may enroll in this offering at any time.
Schedule
Please enroll in the Data Science and Data Analytics Certificate Completion Fee only when all of the certificate requirements have been met and your final grades are posted.
Recommended course sequence
The sequence may vary based on student background and professional interest. Choose one of the two specialized tracks—Track 1: Data Science or Track 2: Data Engineering
Requisite knowledge
Please review the course descriptions to ensure that you have taken necessary prerequisites or meet the requirements through job experience or previous education.
Instructors
Related Courses
