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
Jan. 14 - Mar. 18, Thursday, 6:00pm - 9:00pm
  • Live-Online Attend via Zoom at scheduled times.
DBDA.X419.(18)
Schedule
Date Start Time End Time Meeting Type Location
Thu, 01-14-2027 6:00pm 9:00pm Live-Online REMOTE
Thu, 01-21-2027 6:00pm 9:00pm Live-Online REMOTE
Thu, 01-28-2027 6:00pm 9:00pm Live-Online REMOTE
Thu, 02-04-2027 6:00pm 9:00pm Live-Online REMOTE
Thu, 02-11-2027 6:00pm 9:00pm Live-Online REMOTE
Thu, 02-18-2027 6:00pm 9:00pm Live-Online REMOTE
Thu, 02-25-2027 6:00pm 9:00pm Live-Online REMOTE
Thu, 03-04-2027 6:00pm 9:00pm Live-Online REMOTE
Thu, 03-11-2027 6:00pm 9:00pm Live-Online REMOTE
Thu, 03-18-2027 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: 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

Python for Data Analysis

DBDA.X420
$980
Parthasarathy Padmanabhan
Jan. 26 - Mar. 30, Tuesday, 6:00pm - 9:00pm
  • Live-Online Attend via Zoom at scheduled times.
DBDA.X420.(38)
Schedule
Date Start Time End Time Meeting Type Location
Tue, 01-26-2027 6:00pm 9:00pm Live-Online REMOTE
Tue, 02-02-2027 6:00pm 9:00pm Live-Online REMOTE
Tue, 02-09-2027 6:00pm 9:00pm Live-Online REMOTE
Tue, 02-16-2027 6:00pm 9:00pm Live-Online REMOTE
Tue, 02-23-2027 6:00pm 9:00pm Live-Online REMOTE
Tue, 03-02-2027 6:00pm 9:00pm Live-Online REMOTE
Tue, 03-09-2027 6:00pm 9:00pm Live-Online REMOTE
Tue, 03-16-2027 6:00pm 9:00pm Live-Online REMOTE
Tue, 03-23-2027 6:00pm 9:00pm Live-Online REMOTE
Tue, 03-30-2027 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: 

Access to a computer with Python version 3.6 or higher and Jupyter Notebook is required. The recommended software to obtain the required tools for this course is Anaconda, free Individual Edition: https://www.anaconda.com/products/individual

Murach's Python for Data Science, Scott McCoy, Murach and Associates, 2024, ISBN: 9781943873173.

Recommended Tools & Materials:

Python for Data Analysis, Wes McKinney, O'Reilly Media, Inc., 2022-08-12, ISBN: 9781098103989.

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