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
Build your skills your way.
We invite you to strengthen your skills in our individual courses. Note that this certificate program is currently suspended. Courses may be applied to a certificate only if you are currently declared in a program.
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.
Two tracks to explore in this series
Data Science (9 units)
Data Engineering (8 units)
Courses
1. Required Course(s):
DBDA.X415
$910
You may enroll in this offering at any time.
Jun. 9 - Sep. 8, Tue, 12:01am - 11:59pm
- Online Self-Paced Work online at your own pace.
DBDA.X415.(862)
Schedule
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Tue, 06-09-2026 | 12:01am | 12:02am | Online Self-Paced | ONLINE |
| Tue, 09-08-2026 | 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 June 9, but you may still enroll until July 14. All course work must be completed by 11:59 pm on September 8, 2026.
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.
|| Skills Needed:
Prerequisites / Skills Needed
Summer
DBDA.X401
$910
You may enroll in this offering at any time.
Jul. 11 - Sep. 12, Sat, 9:00am - 12:00pm
- Flexible Attend in person or via Zoom at scheduled times.
DBDA.X401.(36)
Schedule
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Sat, 07-11-2026 | 9:00am | 12:00pm | Flexible | SANTA CLARA / REMOTE |
| Sat, 07-18-2026 | 9:00am | 12:00pm | Flexible | SANTA CLARA / REMOTE |
| Sat, 07-25-2026 | 9:00am | 12:00pm | Flexible | SANTA CLARA / REMOTE |
| Sat, 08-01-2026 | 9:00am | 12:00pm | Flexible | SANTA CLARA / REMOTE |
| Sat, 08-08-2026 | 9:00am | 12:00pm | Flexible | SANTA CLARA / REMOTE |
| Sat, 08-15-2026 | 9:00am | 12:00pm | Flexible | SANTA CLARA / REMOTE |
| Sat, 08-22-2026 | 9:00am | 12:00pm | Flexible | SANTA CLARA / REMOTE |
| Sat, 08-29-2026 | 9:00am | 12:00pm | Flexible | SANTA CLARA / REMOTE |
| Sat, 09-05-2026 | 9:00am | 12:00pm | Flexible | SANTA CLARA / REMOTE |
| Sat, 09-12-2026 | 9:00am | 12:00pm | 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.
|| Skills Needed:
Prerequisites / Skills Needed
Summer
DBDA.X404
$960
You may enroll in this offering at any time.
Jun. 25 - Aug. 27, Thu, 6:30pm - 9:30pm
- Flexible Attend in person or via Zoom at scheduled times.
DBDA.X404.(47)
Schedule
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Thu, 06-25-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 07-02-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 07-09-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 07-16-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 07-23-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 07-30-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 08-06-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 08-13-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 08-20-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 08-27-2026 | 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 Texts:
Data Analysis with Open Source Tools, Philipp J. Janert, O'Reilly Media, 2010. ISBN-10: 0596802358, ISBN-13: 978-0596802356.
R Cookbook, Paul Teetor, O'Reilly Media, 2011. ISBN-10: 0596809158, ISBN-13: 978-0596809157.
The Art of R Programming: A Tour of Statistical Software Design, Norman Matloff, No Starch Press, 2011. ISBN-10: 1593273843, ISBN-13: 978-1593273842.
R in a Nutshell: A Desktop Quick Reference, Joseph Adler, O' Reilly Media, 2012. ISBN-13: 978-1449312084 ISBN-10: 144931208X
Summer
2. Electives: Data Science
DBDA.X420
$980
You may enroll in this offering at any time.
Jul. 25 - Aug. 29, Sat, 9:00am - 2:00pm
- Live-Online Attend via Zoom at scheduled times.
DBDA.X420.(36)
Schedule
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Sat, 07-25-2026 | 9:00am | 2:00pm | Live-Online | REMOTE |
| Sat, 08-01-2026 | 9:00am | 2:00pm | Live-Online | REMOTE |
| Sat, 08-08-2026 | 9:00am | 2:00pm | Live-Online | REMOTE |
| Sat, 08-15-2026 | 9:00am | 2:00pm | Live-Online | REMOTE |
| Sat, 08-22-2026 | 9:00am | 2:00pm | Live-Online | REMOTE |
| Sat, 08-29-2026 | 9:00am | 2:00pm | 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 are expected to have computers with Python 3.x, Jupyter Notebooks, libraries: Pandas, Matplotlib and Numpy installed. Installing the Anaconda distribution of Python, gives access to Jupyter Notebooks and all the required libraries. Instructions will be provided.
Murach's Python for Data Science, 2nd Edition, Scott McCoy, Mike Murach and Associates, 2024, ISBN: 978-1943873173.
Recommended Tools & Materials:
Python for Data Analysis, 3rd Edition,Wes McKinney, O'Reilly Media, Inc., 2022, ISBN: 9781098103989.
|| Skills Needed:
Prerequisites / Skills Needed
Summer
DBDA.X419
$980
You may enroll in this offering at any time.
Jun. 22 - Aug. 24, Mon, 6:30pm - 9:30pm
- Flexible Attend in person or via Zoom at scheduled times.
DBDA.X419.(17)
Schedule
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Mon, 06-22-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Mon, 06-29-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Mon, 07-06-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Mon, 07-13-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Mon, 07-20-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Mon, 07-27-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Mon, 08-03-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Mon, 08-10-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Mon, 08-17-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Mon, 08-24-2026 | 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.
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
|| Skills Needed:
Prerequisites / Skills Needed
Summer
DBDA.X421
$910
You may enroll in this offering at any time.
Jun. 16 - Aug. 18, Tue, 6:00pm - 9:00pm
- Flexible Attend in person or via Zoom at scheduled times.
DBDA.X421.(16)
Schedule
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Tue, 06-16-2026 | 6:00pm | 9:00pm | Flexible | SANTA CLARA / REMOTE |
| Tue, 06-23-2026 | 6:00pm | 9:00pm | Flexible | SANTA CLARA / REMOTE |
| Tue, 06-30-2026 | 6:00pm | 9:00pm | Flexible | SANTA CLARA / REMOTE |
| Tue, 07-07-2026 | 6:00pm | 9:00pm | Flexible | SANTA CLARA / REMOTE |
| Tue, 07-14-2026 | 6:00pm | 9:00pm | Flexible | SANTA CLARA / REMOTE |
| Tue, 07-21-2026 | 6:00pm | 9:00pm | Flexible | SANTA CLARA / REMOTE |
| Tue, 07-28-2026 | 6:00pm | 9:00pm | Flexible | SANTA CLARA / REMOTE |
| Tue, 08-04-2026 | 6:00pm | 9:00pm | Flexible | SANTA CLARA / REMOTE |
| Tue, 08-11-2026 | 6:00pm | 9:00pm | Flexible | SANTA CLARA / REMOTE |
| Tue, 08-18-2026 | 6:00pm | 9:00pm | 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.
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
Summer
Currently no classes scheduled. Would you like to be notified when a class is available?
Spring
3. Electives: Artificial Intelligence
AISV.X400
$980
You may enroll in this offering at any time.
Jul. 25 - Aug. 29, Sat, 9:00am - 2:00pm
- Flexible Attend in person or via Zoom at scheduled times.
AISV.X400.(46)
Schedule
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Sat, 07-25-2026 | 9:00am | 2:00pm | Flexible | SANTA CLARA / REMOTE |
| Sat, 08-01-2026 | 9:00am | 2:00pm | Flexible | SANTA CLARA / REMOTE |
| Sat, 08-08-2026 | 9:00am | 2:00pm | Flexible | SANTA CLARA / REMOTE |
| Sat, 08-15-2026 | 9:00am | 2:00pm | Flexible | SANTA CLARA / REMOTE |
| Sat, 08-22-2026 | 9:00am | 2:00pm | Flexible | SANTA CLARA / REMOTE |
| Sat, 08-29-2026 | 9:00am | 2:00pm | 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.
Programming Tools: Current version of Python with ability to install packages as needed.
|| Prerequisites: Skills Needed:
Prerequisites / Skills Needed
Summer
DBDA.X427
$980
You may enroll in this offering at any time.
Jun. 29 - Aug. 31, Mon, 6:00pm - 9:00pm
- Live-Online Attend via Zoom at scheduled times.
DBDA.X427.(19)
Schedule
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Mon, 06-29-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Mon, 07-06-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Mon, 07-13-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Mon, 07-20-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Mon, 07-27-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Mon, 08-03-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Mon, 08-10-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Mon, 08-17-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Mon, 08-24-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Mon, 08-31-2026 | 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 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.
|| Skills Needed:
Prerequisites / Skills Needed
Summer
AISV.X401
$980
You may enroll in this offering at any time.
Jun. 25 - Sep. 10, Thu, 6:00pm - 9:00pm
- Live-Online Attend via Zoom at scheduled times.
AISV.X401.(25)
Schedule
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Thu, 06-25-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Thu, 07-02-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Thu, 07-09-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Thu, 07-16-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Thu, 07-30-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Thu, 08-13-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Thu, 08-20-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Thu, 08-27-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Thu, 09-03-2026 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Thu, 09-10-2026 | 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.
No meeting on July 23 and August 6, 2026. 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: Skills Needed:
Prerequisites / Skills Needed
Summer
4. Electives: Data Engineering
Currently no classes scheduled. Would you like to be notified when a class is available?
Winter
Currently no classes scheduled. Would you like to be notified when a class is available?
Fall
Currently no classes scheduled. Would you like to be notified when a class is available?
Spring
Currently no classes scheduled. Would you like to be notified when a class is available?
Spring
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
Certificate Program Advisory Committee
PARTHASARATHY PADMANABHAN, M.B.A.
Principal Software Engineer
Instructor & Program Chair, Data Science and Data Analytics Advisory Board
PIYUSH BHARGAVA, MS
Senior Director in Data & Analytics, DocuSign
Former Distinguished Engineer, Cisco
CHING-FONG "CF" SU, PhD, MS
Vice President of Machine Learning, Hyperscience
LISE GETOOR, PhD, MS
Professor, Computer Science and Engineering Department | Center Director, D3 Data Science Research Center
University of California, Santa Cruz
ASHISH GUPTA, MS, BTech
Principal Engineer, NetsKope
HIEN LUU, MS, BSEE
Head of Machine Learning Infrastructure, Zoox
Chair AI Business Practices and Instructor, Data Science and Data Analysis Certificate Program
RAMA ORUGANTI, MCA
Senior Director of Data & Analytics, Cisco
ARMEN PISCHDOTCHIAN, MBA, MA, BA
Adjunct Professor | Wentworth Institute of Technology & University of the Cumberlands
RAQUEL PRADO, PhD
Professor, Statistics Department, University of California, Santa Cruz
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