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

Dashboards and Data Visualization

DBDA.X419
$980
Parthasarathy Padmanabhan
Jun. 22 - Aug. 24, Monday, 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

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Prerequisites / Skills Needed

Skills Needed:

  • Knowledge of database concepts and any business experience related to decision-making.

Python for Data Analysis

DBDA.X420
$980
Parthasarathy Padmanabhan
Jul. 25 - Aug. 29, Saturday, 9:00am - 2:00pm
  • Flexible Attend in person or 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 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.

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.

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Prerequisites / Skills Needed

Skills Needed:

  • Helpful, but not required, are a basic experience in any programming language and a rudimentary knowledge of statistics.
Associated Program(s)
Data Science and Data Analytics
Data Science