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.

黑料不打烊

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 M Padmanabhan
Parthasarathy Padmanabhan's courses currently open for enrollment

Dashboards and Data Visualization

DBDA.X419
$980
Parthasarathy Padmanabhan
Jan. 24 - Mar. 28, Saturday, 1:00pm - 4:00pm
  • Flexible Attend in person or via Zoom at scheduled times.
DBDA.X419.(16)
Schedule
Date Start Time End Time Meeting Type Location
Sat, 01-24-2026 1:00pm 4:00pm Flexible SANTA CLARA / REMOTE
Sat, 01-31-2026 1:00pm 4:00pm Flexible SANTA CLARA / REMOTE
Sat, 02-07-2026 1:00pm 4:00pm Flexible SANTA CLARA / REMOTE
Sat, 02-14-2026 1:00pm 4:00pm Flexible SANTA CLARA / REMOTE
Sat, 02-21-2026 1:00pm 4:00pm Flexible SANTA CLARA / REMOTE
Sat, 02-28-2026 1:00pm 4:00pm Flexible SANTA CLARA / REMOTE
Sat, 03-07-2026 1:00pm 4:00pm Flexible SANTA CLARA / REMOTE
Sat, 03-14-2026 1:00pm 4:00pm Flexible SANTA CLARA / REMOTE
Sat, 03-21-2026 1:00pm 4:00pm Flexible SANTA CLARA / REMOTE
Sat, 03-28-2026 1:00pm 4:00pm Flexible SANTA CLARA / REMOTE
 

11/18/25: Course time change. See full schedule for details.

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

Data Analysis, Introduction

DBDA.X404
$960
Parthasarathy Padmanabhan
Jan. 13 - Mar. 17, Tuesday, 6:00pm - 9:00pm
  • Flexible Attend in person or via Zoom at scheduled times.
DBDA.X404.(45)
Schedule
Date Start Time End Time Meeting Type Location
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, 01-27-2026 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, 02-17-2026 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, 03-10-2026 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.

Required Tools & Materials: R Studio for Mac/Windows, R-binary for mac/windows

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

Associated Program(s)
Bioinformatics
Data Science
Data Science and Data Analytics