Data for impact
This Program is 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
Two specializations for the Data Science Data Analytics industry
Courses
Program Requirements
Total: 6 courses (16 quarter units).
- 2 required courses (6 quarter units)
- 4 elective courses (minimum 10 quarter units)
- End with certificate of completion review.
1. Required Course(s): Track 1 - Data Science
- Flexible Attend in person or via Zoom at scheduled times.
黑料不打烊
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
2. Electives: Track 1 - Data Science
- Online Self-Paced Work online at your own pace.
黑料不打烊
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 6, but you may still enroll until February 10. All course work must be completed by 11:59 pm on April 7, 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.
Recommended Texts:
Microsoft Business Intelligence Tools for Excel Analysts, Michael Alexander, et al. Publisher: Wiley, 2014 ISBN: ISBN-10: 1118821521; ISBN-13: 978-1118821527
Beginning Power BI: A Practical Guide to Self-Service Data Analytics Edition: 3rd Edition, Dan Clark Publisher: Apress Media, LLC, 2020 ISBN: ISBN-10: 1484256190; ISBN-13: 978-1484256190
Power Pivot and Power BI: The Excel User's Guide to DAX, Power Query, Power BI &Power Pivot in Excel 2010-2016 Edition: Second Edition, Rob Collie and Avichal Singh Publisher: Holy Macro, 2016 ISBN: ISBN-10: 1615470395; ISBN-13:978-1615470395
Beginning Microsoft SQL Server 2012 Programming, Paul Atkinson, Robert Vieira Publisher
- Flexible Attend in person or via Zoom at scheduled times.
黑料不打烊
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:
Data Visualization: A Practical Introduction, Kieran Healy, Princeton University Press, 2018. ISBN: 9780691185064
- Live-Online Attend via Zoom at scheduled times.
黑料不打烊
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.
Students will need access to a computer and the ability to install software. Open source data modeling software can be found at:
Recommended Text: Data Modeling Essentials, 3rd edition, Graeme Simsion and Gaham Witt, Morgan Kaufmann, ISBN-10: 0126445516, ISBN-13: 978-0126445510.
- Flexible Attend in person or via Zoom at scheduled times.
黑料不打烊
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.
No meetings on January 19 and February 16, 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 (Links to an external site.)
- Flexible Attend in person or via Zoom at scheduled times.
黑料不打烊
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.
- Live-Online Attend via Zoom at scheduled times.
黑料不打烊
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.
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.
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 Text:
"Murach's Python for Data Science", 2nd Edition, by Scott McCoy, published by Murach Books, May 2024. ISBN 978-1943873173
Recommended Text:
"Python for Data Analysis", 3rd Edition, by Wes McKinney, published by O'Reilly Media, Inc. - ISBN 9781098103989
- Flexible Attend in person or via Zoom at scheduled times.
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.
Electronic Course Materials: 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 Text: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow; Aurelien Geron; O'Reilly Media Inc.; 2022. ISBN: 9781098122461
Recommended Text: Python Data Science Handbook; Jake VanderPlas; O'Reilly Media Inc.; 2023. ISBN: 9781098121228
Machine Learning with Python Cookbook; Gallatin and Albon; O'Reilly Media Inc.; 2023. ISBN: 9781098135690
Introduction to Machine Learning with Python; Muller and Guido; O'Reilly Media Inc.; 2023. ISBN: 9781449369897
- Flexible Attend in person or via Zoom at scheduled times.
黑料不打烊
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 Textbook: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow; Aurelien Geron; O'Reilly Media Inc.; 2022. ISBN: 9781098122461
Recommended Textbooks:
Python Data Science Handbook; Jake VanderPlas; O'Reilly Media Inc.; 2023. ISBN: 9781098121228
Machine Learning with Python Cookbook; Gallatin and Albon; O'Reilly Media Inc.; 2023. ISBN: 9781098135690
Introduction to Machine Learning with Python; Muller and Guido; O'Reilly Media Inc.; 2023. ISBN: 9781449369897
- Online Self-Paced Work online at your own pace.
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 September 8, but you may still enroll until October 14. All course work must be completed by 11:59 pm on December 9, 2025.
Electronic Course Materials: 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.
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
Recommended Text:
Murach's MySQL, 3rd Edition, Joel Murach, Mike Murach & Associates, 2019. ISBN-10: 1943872368 ISBN-13: 978-1943872367
Teach Yourself SQL in 24 Hours, 5th Edition, Ryan Stephens, et al., Sams Publishing, ISBN-10: 0672335417 ISBN-13: 978-0672335419
- Flexible Attend in person or via Zoom at scheduled times.
黑料不打烊
Students may enroll until the second meeting.
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.
2 "no meetings" TBA. To see all meeting dates, click "Full Schedule" below.
Electronic Course Materials: 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.
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
*Students attending onsite are required to bring a laptop.
Required Tools and Materials: MySQL software
Recommended Text: Sams Teach Yourself SQL in 24 Hours; Stephens, Plew, and Jones; Pearson Education, 2011.
ISBN: 978-0132603911.
- Online Self-Paced Work online at your own pace.
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 November 4, but you may still enroll until December 9. All course work must be completed by 11:59 pm on February 3, 2025.
Electronic Course Materials: 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.
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
Recommended Text:
Murach's MySQL, 3rd Edition, Joel Murach, Mike Murach & Associates, 2019. ISBN-10: 1943872368 ISBN-13: 978-1943872367
Teach Yourself SQL in 24 Hours, 5th Edition, Ryan Stephens, et al., Sams Publishing, ISBN-10: 0672335417 ISBN-13: 978-0672335419
- Online Self-Paced Work online at your own pace.
黑料不打烊
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 6, but you may still enroll until February 10. All course work must be completed by 11:59 pm on April 7, 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.
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.
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
Recommended Text:
Murach's MySQL, 3rd Edition, Joel Murach, Mike Murach & Associates, 2019. ISBN-10: 1943872368 ISBN-13: 978-1943872367
Teach Yourself SQL in 24 Hours, 5th Edition, Ryan Stephens, et al., Sams Publishing, ISBN-10: 0672335417 ISBN-13: 978-0672335419
- Flexible Attend in person or via Zoom at scheduled times.
黑料不打烊
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.
No meetings on January 19 and February 16, 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.
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
*Students attending onsite are required to bring a laptop.
Recommended Text:
Teach Yourself SQL in 24 Hours, 5th Edition, Ryan Stephens, et al., Sams Publishing.
3. Required Course(s): Track 2 - Data Engineering
- Online Self-Paced Work online at your own pace.
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 September 8, but you may still enroll until October 14. All course work must be completed by 11:59 pm on December 9, 2025.
Electronic Course Materials: 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.
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
Recommended Text:
Murach's MySQL, 3rd Edition, Joel Murach, Mike Murach & Associates, 2019. ISBN-10: 1943872368 ISBN-13: 978-1943872367
Teach Yourself SQL in 24 Hours, 5th Edition, Ryan Stephens, et al., Sams Publishing, ISBN-10: 0672335417 ISBN-13: 978-0672335419
- Flexible Attend in person or via Zoom at scheduled times.
黑料不打烊
Students may enroll until the second meeting.
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.
2 "no meetings" TBA. To see all meeting dates, click "Full Schedule" below.
Electronic Course Materials: 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.
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
*Students attending onsite are required to bring a laptop.
Required Tools and Materials: MySQL software
Recommended Text: Sams Teach Yourself SQL in 24 Hours; Stephens, Plew, and Jones; Pearson Education, 2011.
ISBN: 978-0132603911.
- Online Self-Paced Work online at your own pace.
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 November 4, but you may still enroll until December 9. All course work must be completed by 11:59 pm on February 3, 2025.
Electronic Course Materials: 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.
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
Recommended Text:
Murach's MySQL, 3rd Edition, Joel Murach, Mike Murach & Associates, 2019. ISBN-10: 1943872368 ISBN-13: 978-1943872367
Teach Yourself SQL in 24 Hours, 5th Edition, Ryan Stephens, et al., Sams Publishing, ISBN-10: 0672335417 ISBN-13: 978-0672335419
- Online Self-Paced Work online at your own pace.
黑料不打烊
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 6, but you may still enroll until February 10. All course work must be completed by 11:59 pm on April 7, 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.
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.
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
Recommended Text:
Murach's MySQL, 3rd Edition, Joel Murach, Mike Murach & Associates, 2019. ISBN-10: 1943872368 ISBN-13: 978-1943872367
Teach Yourself SQL in 24 Hours, 5th Edition, Ryan Stephens, et al., Sams Publishing, ISBN-10: 0672335417 ISBN-13: 978-0672335419
- Flexible Attend in person or via Zoom at scheduled times.
黑料不打烊
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.
No meetings on January 19 and February 16, 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.
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
*Students attending onsite are required to bring a laptop.
Recommended Text:
Teach Yourself SQL in 24 Hours, 5th Edition, Ryan Stephens, et al., Sams Publishing.
4. Electives: Track 2 - Data Engineering
- Flexible Attend in person or via Zoom at scheduled times.
黑料不打烊
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
- Live-Online Attend via Zoom at scheduled times.
黑料不打烊
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.
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
- Live-Online Attend via Zoom at scheduled times.
黑料不打烊
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.
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.
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 Text:
"Murach's Python for Data Science", 2nd Edition, by Scott McCoy, published by Murach Books, May 2024. ISBN 978-1943873173
Recommended Text:
"Python for Data Analysis", 3rd Edition, by Wes McKinney, published by O'Reilly Media, Inc. - ISBN 9781098103989
5. Completion Review:
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
Substitutions | Shared credits
Some technology courses may be listed in more than one program. However, only one course may be shared between two certificate programs unless otherwise noted.
To receive your certificate
Upon completion of the course sequence, please request your .
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. You can learn more about each course in .
Grade requirements
Please note that only letter grades of C or higher may be applied to a certificate, and in some programs, students may have more stringent requirements. Students in most employer- and government-sponsored payment programs, such as workforce development, as well as international students on F-1 visas, need to maintain a B average to meet their requirements.
See Grading and Credits Policy for further information.
Instructors
Certificate Program Advisory Committee
PARTHASARATHY PADMANABHAN, M.B.A.
Principal Software Engineer
Instructor & Program Chair, Data Science and Data Analytics Advisory Board
, MS
Senior Director in Data & Analytics, DocuSign
Former Distinguished Engineer, Cisco
, PhD, MS
Vice President of Machine Learning, Hyperscience
, PhD, MS
Professor, Computer Science and Engineering Department | Center Director, D3 Data Science Research Center
University of California, Santa Cruz
, 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
, MCA
Senior Director of Data & Analytics, Cisco
, MBA, MA, BA
Adjunct Professor | Wentworth Institute of Technology & University of the Cumberlands
, PhD
Professor, Statistics Department, University of California, Santa Cruz
