Visualization and analytics complement each other. With these fundamentals, students can jump into the next level of learning data science, deep learning, and machine learning.

About

PARTHASARATHY PADMANABHAN, M.B.A., principal software engineer at New Relic Inc., is a data architect with more than 25 years of experience in information technology and has worked in data modeling for more than 10 years. He teaches "Data Modeling for Relational Databases," and "Data Visualization & Data Analysis" and began serving as chair of the Data Science and Data Analytics Advisory Board in 2020.

Parthasarathy Padmanabhan's courses currently open for enrollment

Business Intelligence Solutions

DBDA.X402
$740
  • Flexible Attend in person or via Zoom at scheduled times.
Schedule
Date
Start Time
End Time
Meeting Type
Location
Sat, 09-20-2025
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 09-20-2025
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 09-27-2025
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 09-27-2025
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 10-04-2025
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 10-04-2025
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 10-11-2025
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 10-11-2025
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 10-18-2025
2:30pm
5:30pm
Flexible
SANTA CLARA / REMOTE
Sat, 10-18-2025
2:30pm
5:30pm
Flexible
SANTA CLARA / REMOTE
Sat, 10-25-2025
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 10-25-2025
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 11-01-2025
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 11-01-2025
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 11-08-2025
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 11-08-2025
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 11-15-2025
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 11-15-2025
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 11-22-2025
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 11-22-2025
9:00am
12:00pm
Flexible
SANTA CLARA / 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.

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 Materials: Microsoft Power Suite
The course will be based in the following software applications: Microsoft Excel PowerPivot, Power Query and Microsoft Power BI Desktop. Each of these applications can be installed for free on a PC.  The University also supplies a platform to access the software for free for all enrolled students. Instructions for accessing the software will be part of the first Module. 

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: John Wiley & Sons, Inc., 2012 ISBN: ISBN-10:1118102282; ISBN-13: 978-1118102282

Dashboards and Data Visualization

DBDA.X419
$980
  • Flexible Attend in person or via Zoom at scheduled times.
Schedule
Date
Start Time
End Time
Meeting Type
Location
Sat, 01-24-2026
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 01-24-2026
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 01-31-2026
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 01-31-2026
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 02-07-2026
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 02-07-2026
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 02-14-2026
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 02-14-2026
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 02-21-2026
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 02-21-2026
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 02-28-2026
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 02-28-2026
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 03-07-2026
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 03-07-2026
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 03-14-2026
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 03-14-2026
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 03-21-2026
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 03-21-2026
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 03-28-2026
9:00am
12:00pm
Flexible
SANTA CLARA / REMOTE
Sat, 03-28-2026
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.

Recommended Text:
Data Visualization: A Practical Introduction, Kieran Healy, Princeton University Press, 2018. ISBN: 9780691185064

Data Analysis, Introduction

DBDA.X404
$960
  • Flexible Attend in person or via Zoom at scheduled times.
Schedule
Date
Start Time
End Time
Meeting Type
Location
Tue, 01-13-2026
6:00pm
9:00pm
Flexible
SANTA CLARA / REMOTE
Tue, 01-13-2026
6:00pm
9:00pm
Flexible
SANTA CLARA / REMOTE
Tue, 01-20-2026
6:00pm
9:00pm
Flexible
SANTA CLARA / REMOTE
Tue, 01-20-2026
6:00pm
9:00pm
Flexible
SANTA CLARA / REMOTE
Tue, 01-27-2026
6:00pm
9:00pm
Flexible
SANTA CLARA / REMOTE
Tue, 01-27-2026
6:00pm
9:00pm
Flexible
SANTA CLARA / REMOTE
Tue, 02-03-2026
6:00pm
9:00pm
Flexible
SANTA CLARA / REMOTE
Tue, 02-03-2026
6:00pm
9:00pm
Flexible
SANTA CLARA / REMOTE
Tue, 02-10-2026
6:00pm
9:00pm
Flexible
SANTA CLARA / REMOTE
Tue, 02-10-2026
6:00pm
9:00pm
Flexible
SANTA CLARA / REMOTE
Tue, 02-17-2026
6:00pm
9:00pm
Flexible
SANTA CLARA / REMOTE
Tue, 02-17-2026
6:00pm
9:00pm
Flexible
SANTA CLARA / REMOTE
Tue, 02-24-2026
6:00pm
9:00pm
Flexible
SANTA CLARA / REMOTE
Tue, 02-24-2026
6:00pm
9:00pm
Flexible
SANTA CLARA / REMOTE
Tue, 03-03-2026
6:00pm
9:00pm
Flexible
SANTA CLARA / REMOTE
Tue, 03-03-2026
6:00pm
9:00pm
Flexible
SANTA CLARA / REMOTE
Tue, 03-10-2026
6:00pm
9:00pm
Flexible
SANTA CLARA / REMOTE
Tue, 03-10-2026
6:00pm
9:00pm
Flexible
SANTA CLARA / REMOTE
Tue, 03-17-2026
6:00pm
9:00pm
Flexible
SANTA CLARA / REMOTE
Tue, 03-17-2026
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.

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