Python is an easy to learn, powerful programming language. It has efficient high-level data structures that make it suitable rapid application development. Topics covered in this session will include data types, conditional and loop statements, functions, input/output, modules, classes and exceptions. Upon completion of this tutorial series, participants should be able to understand existing scientific python codes as well as write their own simple python applications. This training session also introduces participants to scientific computing extensions of python like numpy for use in high-performance computing. Using advanced python libraries like regular expressions, scipy, pandas, seaborn, scikit-learn, etc for every day scientific computing are also taught.




Date: 8th August 2022 - 11th August 2022 

Time: Daily 10:00 AM to 3:00 PM (Break from 12PM - 1PM to be observed)

Instructor: Dr. Jerry Ebalunode

Class Capacity: 150

Who can attend: Currently Enrolled University of Houston Students Only.

Location: Join Microsoft Teams with CODE



For more information contact us at: contact@hpedsi.uh.edu 

Please check your Outlook Email under access UH  as well for all updates.


This course introduces participants to the computing environment found in UH high performance computing clusters such as Carya, Sabine and Opuntia, including how to prepare work-flows, submit jobs to the queuing systems, and retrieve results. Other topics covered include general HPC concepts, Opuntia’s system architecture, system access, customizing your user environment, compiling and linking codes for CPUs or GPUs, the SLURM batch scheduling system, batch job scripts, Matlab jobs, submission of serial or interactive or parallel (gpu/cpu) jobs to the batch system. 

Topics in Linux covered include user accounts, file permissions, file system navigation, the Command Line Interface (CLI), command line utility programs, file & folder manipulation, and common text editors. 

Topics covered in Shell scripting include built-in commands, control structures, file descriptors, functions, parameters & variables, and shell scripting.



Syllabus: Link To Syllabus
Prerequisites: None.


Date:  30th May 2022 - 6th July 2022

Time: Mon Wed 10:00 AM - 11:30 PM

Instructor: Dr. Jerry Ebalunode

Location: Join Microsoft Teams

Capacity: 150

  • HPE DSI’s courses are free for UH System students from outside the Main Campus. However, these individuals must enroll in our courses at least three weeks before the courses starting date to allow for proper registration.


Clear Lake, Victoria, Downtown, Sugar Land or Katy campuses

Attendees who are current UHS student, staff or faculty from the Clear Lake, Victoria, Downtown, Sugar Land or Katy campuses MUST fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class.

Current UHS (all campuses) Student, Staff or Faculty Registration Fee: Free.


UH Alumni and Non-UH Affiliates

Attendees who are not current UHS student, staff or faculty will need to make a payment for the course prior to its commencement.

UH Alumni Registration Fee: $250.00.

Non-UH Affiliate Registration Fee: $250.00.

** Non-UH affiliates and alumni registering for the HPE DSI classes MUST:

(1) complete the payment of the course fees ($250.00 per course) at least three(3) weeks before course commencement using this payment link : https://store.mynsm.uh.edu/index.php?route=product/product&product_id=403&search=101+introduction+to+cluster


(2) fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class.

If you need to cancel a course for any reason, e-mail us at contact@hpedsi.uh.edu


** The following refund schedule applies:
More than three weeks before start date: A cancellation fee of 10% of the total workshop cost applies.
Less than three weeks before start date: 15% cancellation fee applies.
Less than one week before start date: 25% cancellation fee applies.
48 hours or less before class start: No refund is available.
All deposits and payments made are nontransferable. The HPE DSI cannot provide refunds, transfer payments, or offer makeup sessions for classes a student might miss, for any reason. If the HPE DSI has to cancel a workshop, you will receive a full refund.

This course will teach you a basic understanding of how to program in R. You will learn how to use the R Studio software necessary for a statistical programming environment. The course covers reading data into R, accessing R packages, writing R functions, debugging, and commenting R code. We will introduce visualization concepts in R and you will also learn how to run R code on the HPE DSI HPC clusters.

Course is on the following dates. 

Prerequisites: None.




Intro to Linux/Cluster computing course provided by HPE DSI is recommended.

Instructor: Ishita Sharma

Date: 7th June  2022 - 7th July 2022 

Time : Tue Thurs 10:00 AM to 11:30 AM

Location: Join Microsoft Teams

Capacity: 150

  • HPE DSI’s courses are free for UH System students from outside the Main Campus. However, these individuals must enroll in our courses at least three weeks before the courses starting date to allow for proper registration.


Clear Lake, Victoria, Downtown, Sugar Land or Katy campuses

Attendees who are current UHS student, staff or faculty from the Clear Lake, Victoria, Downtown, Sugar Land or Katy campuses MUST fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class.

Current UHS (all campuses) Student, Staff or Faculty Registration Fee: Free.


UH Alumni and Non-UH Affiliates

Attendees who are not current UHS student, staff or faculty will need to make a payment for the course prior to its commencement.

UH Alumni Registration Fee: $250.00.

Non-UH Affiliate Registration Fee: $250.00.

** Non-UH affiliates and alumni registering for the HPE DSI classes MUST:

(1) complete the payment of the course fees ($250.00 per course) at least three(3) weeks before course commencement using this payment link : https://store.mynsm.uh.edu/index.php?route=product/product&product_id=407&search=211+r+for+data+science


(2) fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class.

If you need to cancel a course for any reason, e-mail us at contact@hpedsi.uh.edu



**The following refund schedule applies:
More than three weeks before start date: A cancellation fee of 10% of the total workshop cost applies.
Less than three weeks before start date: 15% cancellation fee applies.
Less than one week before start date: 25% cancellation fee applies.
48 hours or less before class start: No refund is available.
All deposits and payments made are nontransferable. The HPE DSI cannot provide refunds, transfer payments, or offer makeup sessions for classes a student might miss, for any reason. If the HPE DSI has to cancel a workshop, you will receive a full refund.



***This course is part of the Micro-credential in Data Science Program. Ask about this program at contact@hpedis.uh.edu.


Python is an easy to learn, powerful programming language. It has efficient high-level data structures that make it suitable rapid application development. Topics covered in this session will include data types, conditional and loop statements, functions, input/output, modules, classes and exceptions. Upon completion of this tutorial series, participants should be able to understand existing scientific python codes as well as write their own simple python applications. This training session also introduces participants to scientific computing extensions of python like numpy for use in high-performance computing. Using advanced python libraries like regular expressions, scipy, pandas, seaborn, scikit-learn, etc for every day scientific computing are also taught.

Prerequisites: Participants are expected to have a working knowledge of the UNIX/Linux environment or should have taken Cluster computing course from HPE-DSI dept.

Syllabus

Date: 31st May 2022 - 5th July 2022

Time: Tues Thur, 12:30 PM to 2:00 PM

Instructor: Dr. Jerry Ebalunode

Class Capacity: 150

Location: Join Microsoft Teams with CODE

  • HPE DSI’s courses are free for UH System students from outside the Main Campus. However, these individuals must enroll in our courses at least three weeks before the courses starting date to allow for proper registration.


Clear Lake, Victoria, Downtown, Sugar Land or Katy campuses

Attendees who are current UHS student, staff or faculty from the Clear Lake, Victoria, Downtown, Sugar Land or Katy campuses MUST fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class.

Current UHS (all campuses) Student, Staff or Faculty Registration Fee: Free.


UH Alumni and Non-UH Affiliates

Attendees who are not current UHS student, staff or faculty will need to make a payment for the course prior to its commencement.

UH Alumni Registration Fee: $250.00.

Non-UH Affiliate Registration Fee: $250.00.

** Non-UH affiliates and alumni registering for the HPE DSI classes MUST:

(1) complete the payment of the course fees ($250.00 per course) at least three(3) weeks before course commencement using this link


(2) fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class.

If you need to cancel a course for any reason, e-mail us at contact@hpedsi.uh.edu

** The following refund schedule applies:
More than three weeks before start date: A cancellation fee of 10% of the total workshop cost applies.
Less than three weeks before start date: 15% cancellation fee applies.
Less than one week before start date: 25% cancellation fee applies.
48 hours or less before class start: No refund is available.
All deposits and payments made are nontransferable. The HPE DSI cannot provide refunds, transfer payments, or offer makeup sessions for classes a student might miss, for any reason. If the HPE DSI has to cancel a workshop, you will receive a full refund.



***This course is part of the Micro-credential in Data Science Program. Ask about this program at contact@hpedis.uh.edu.


This tutorial will provide hands-on skills to use modern data visualization and analysis platforms, specifically the open source parallel ParaView and Tableau. ParaView is very powerful and popular in the HPC scientific and engineering research communities. In the ParaView part, we will explore representations, color-scales and their controls, data filters, how to build pipelines, multi-view & camera links using synthetic seismic data, streamline plots, plot-over-line analysis, and histograms. Also, the calculator tool, datasets & time, animations & their controls, time interpolation, camera animations, static vector field animations, and Python scripting. Finally, the course will cover how to use these tools/skills to do remote, parallel visualization using HPE DSI computer clusters. In the Tableau workshop, we will use Tableau Public to create interactive data visualizations. It will cover an overview of the program and provide hands-on experience creating basic charts and maps, as well as creating interactive web-based visualization dashboards. We will also use more advanced features in Tableau to manage data, and use calculations and parameters to make views more interactive. In the end, students will publish their visualizations to the Tableau Public web server.




 Date: 1st June 2022 - 20th July 2022

Time: Mon Wed 12:30 PM - 2:00 PM

Instructor: Ishita Sharma,  MS

                  Jerry Ebalunode, Ph.D., M.B.A   

Class Capacity: 150

Location: Online

  • HPE DSI’s courses are free for UH System students from outside the Main Campus. However, these individuals must enroll in our courses at least three weeks before the courses starting date to allow for proper registration.


Clear Lake, Victoria, Downtown, Sugar Land or Katy campuses 

Attendees who are current UHS student, staff or faculty from the Clear Lake, Victoria, Downtown, Sugar Land or Katy campuses MUST fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class.  

Current UHS (all campuses) Student, Staff or Faculty Registration Fee: Free. 


UH Alumni and Non-UH Affiliates 

Attendees who are not current UHS student, staff or faculty will need to make a payment for the course prior to its commencement. 

UH Alumni Registration Fee: $250.00. 

Non-UH Affiliate Registration Fee: $250.00. 

** Non-UH affiliates and alumni registering for the HPE DSI classes MUST: 

(1) complete the payment of the course fees ($250.00 per course) at least three(3) weeks before course commencement using this payment link : https://store.mynsm.uh.edu/index.php?route=product/product&product_id=410&search=251+Data


(2) fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class.  

If you need to cancel a course for any reason, e-mail us at contact@hpedsi.uh.edu

** The following refund schedule applies:
More than three weeks before start date: A cancellation fee of 10% of the total workshop cost applies.
Less than three weeks before start date: 15% cancellation fee applies.
Less than one week before start date: 25% cancellation fee applies.
48 hours or less before class start: No refund is available.
All deposits and payments made are nontransferable. The HPE DSI cannot provide refunds, transfer payments, or offer makeup sessions for classes a student might miss, for any reason. If the HPE DSI has to cancel a workshop, you will receive a full refund. 



***This course is part of the Micro-credential in Data Science Program. Ask about this program at contact@hpedis.uh.edu.


Today, multiple resources such as Social Media/Healthcare applications/Banking Applications so on generate a large volume of data.

The first question which comes to our mind is how to make the data useful to help society.

This course has designed to help you familiarize yourself with some of the essential steps to begin analyzing the data and discovering the patterns on the dataset.

 It will include working on some real-world datasets covering skills such as

Data scraping, data pre-processing (data importing & cleaning), data wrangling (exploratory data analysis & data structuring) and applying statistical techniques to get ready for the machine learning algorithms.


Pre-requisites: Familiarity with Python Programming language 

Recommended: Intro to Linux/Cluster computing course provided by HPE DSI


Instructor: Ishita Sharma



Date: 7th June 2022 - 7th July 2022

Time: Tues Thur 02:30 PM - 04:00 PM

Location: Join Microsoft Teams with CODE

Capacity: 150

  • HPE DSI’s courses are free for UH System students from outside the Main Campus. However, these individuals must enroll in our courses at least three weeks before the courses starting date to allow for proper registration.


Clear Lake, Victoria, Downtown, Sugar Land or Katy campuses

Attendees who are current UHS student, staff or faculty from the Clear Lake, Victoria, Downtown, Sugar Land or Katy campuses MUST fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class.

Current UHS (all campuses) Student, Staff or Faculty Registration Fee: Free.


UH Alumni and Non-UH Affiliates

Attendees who are not current UHS student, staff or faculty will need to make a payment for the course prior to its commencement.

UH Alumni Registration Fee: $250.00.

Non-UH Affiliate Registration Fee: $250.00.

** Non-UH affiliates and alumni registering for the HPE DSI classes MUST:

(1) complete the payment of the course fees ($250.00 per course) at least three(3) weeks before course commencement using this link 


(2) fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class.

If you need to cancel a course for any reason, e-mail us at contact@hpedsi.uh.edu

** The following refund schedule applies:
More than three weeks before start date: A cancellation fee of 10% of the total workshop cost applies.
Less than three weeks before start date: 15% cancellation fee applies.
Less than one week before start date: 25% cancellation fee applies.
48 hours or less before class start: No refund is available.
All deposits and payments made are nontransferable. The HPE DSI cannot provide refunds, transfer payments, or offer makeup sessions for classes a student might miss, for any reason. If the HPE DSI has to cancel a workshop, you will receive a full refund.



This hands-on course introduces the key concepts for business data analytics with MS Excel and serves as an analytics literacy course to help the students gain essential knowledge on business data analytics to enhance firm competitiveness. Concepts introduced in this course aim to develop an understanding of the different types of business data, data modeling techniques, various analytical approaches, and application of these approaches to solve business problems. Students will have hands-on experience with platform-agnostic tools MS Excel. The practices cover both basic and advanced functions of MS Excel, including but not limited to FUNCTIONS, PivotTable, PivotChart, and Adds-in. No textbooks would be required.

Prerequisites: None.



Instructor: TBA

Date: 31st May 2022 - 5th July 2022

Time: Tues Thur, 2:30 PM - 04:00 PM

Location: Join Microsoft Teams

Capacity: 150

  • HPE DSI’s courses are free for UH System students from outside the Main Campus. However, these individuals must enroll in our courses at least three weeks before the courses starting date to allow for proper registration.

Attendance Requirement:

Good standing on Attendance grade (>50%) would be required to see new course materials, homework assignments, and exams/projects as the course proceeds.

Also, for students interested in getting a badge or certificate for completing this course, an attendance grade of at least 12 hours of the class meeting sessions is required, to be qualified for passing the course and getting the badge.


Clear Lake, Victoria, Downtown, Sugar Land or Katy campuses

Attendees who are current UHS student, staff or faculty from the Clear Lake, Victoria, Downtown, Sugar Land or Katy campuses MUST fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class.

Current UHS (all campuses) Student, Staff or Faculty Registration Fee: Free.


UH Alumni and Non-UH Affiliates

Attendees who are not current UHS student, staff or faculty will need to make a payment for the course prior to its commencement.

UH Alumni Registration Fee: $250.00.

Non-UH Affiliate Registration Fee: $250.00.

** Non-UH affiliates and alumni registering for the HPE DSI classes MUST:

(1) complete the payment of the course fees ($250.00 per course) at least three(3) weeks before course commencement using this link https://store.mynsm.uh.edu/index.php?route=product/product&product_id=945&search=271


(2) fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class.

If you need to cancel a course for any reason, e-mail us at contact@hpedsi.uh.edu

** The following refund schedule applies:
More than three weeks before start date: A cancellation fee of 10% of the total workshop cost applies.
Less than three weeks before start date: 15% cancellation fee applies.
Less than one week before start date: 25% cancellation fee applies.
48 hours or less before class start: No refund is available.
All deposits and payments made are nontransferable. The HPE DSI cannot provide refunds, transfer payments, or offer makeup sessions for classes a student might miss, for any reason. If the HPE DSI has to cancel a workshop, you will receive a full refund.


***This course is part of the Micro-credential in Data Science Program. Ask about this program at contact@hpedis.uh.edu.


Machine learning is the science of developing statistical methods that quantify relationships within data. This branch of mathematics/computer science has seen an explosive growth over the past decade as our ability to store and process digital data has dramatically increased. Prediction, classification, regression, and identification are the aims of learning from data. All of these problems are routinely performed in data analytics.

To obtain an overview of the literature in learning-based methods and applications.

To obtain an understanding of a variety of machine learning techniques for classification, regression, and prediction.

To obtain the ability to implement and experiment with a wide range of machine learning algorithms in Python with examples.

To apply: Unsupervised and Supervised learning and clustering concepts, Dimensional reduction, Kernels and kernel-based classifiers such as SVM, and Deep Learning algorithms.

To understand and implement learning-based methods for classification of images, signals and features.

Prerequisites: Participants are expected to have a working knowledge of the UNIX/Linux environment or should have taken Cluster computing course from HPE DSI dept.




Dates: 31st May 2022 - 17th July 2022

Time: Tues Thur 2:30 PM - 4:00 PM

Instructor: Dr. Ioannis Konstantinidis

Location: Microsoft Teams with CODE

Class Capacity:150

  • HPE DSI’s courses are free for UH System students from outside the Main Campus. However, these individuals must enroll in our courses at least three weeks before the courses starting date to allow for proper registration.

Attendance Requirement:

Good standing on Attendance grade (>50%) would be required to see new course materials, homework assignments, and exams/projects as the course proceeds.

Also, for students interested in getting a badge or certificate for completing this course, an attendance grade of at least 12 hours of the class meeting sessions is required, to be qualified for passing the course and getting the badge.


Clear Lake, Victoria, Downtown, Sugar Land or Katy campuses

Attendees who are current UHS student, staff or faculty from the Clear Lake, Victoria, Downtown, Sugar Land or Katy campuses MUST fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class.

Current UHS (all campuses) Student, Staff or Faculty Registration Fee: Free.


UH Alumni and Non-UH Affiliates

Attendees who are not current UHS student, staff or faculty will need to make a payment for the course prior to its commencement.

UH Alumni Registration Fee: $250.00.

Non-UH Affiliate Registration Fee: $250.00.

** Non-UH affiliates and alumni registering for the HPE DSI classes MUST:

(1) complete the payment of the course fees ($250.00 per course) at least three(3) weeks before course commencement using this link  


(2) fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class.

If you need to cancel a course for any reason, e-mail us at contact@hpedsi.uh.edu

** The following refund schedule applies:
More than three weeks before start date: A cancellation fee of 10% of the total workshop cost applies.
Less than three weeks before start date: 15% cancellation fee applies.
Less than one week before start date: 25% cancellation fee applies.
48 hours or less before class start: No refund is available.
All deposits and payments made are nontransferable. The HPE DSI cannot provide refunds, transfer payments, or offer makeup sessions for classes a student might miss, for any reason. If the HPE DSI has to cancel a workshop, you will receive a full refund.



Deep learning refers to AI/ML techniques that utilize multilayer (deep) artificial neural networks. This branch of data science has seen exponential improvements in performance as our ability to collect, store, and process digital data has dramatically increased. Prediction, classification, regression, and identification of semi/unstructured data are areas where deep learning techniques exhibit a significant comparative advantage.

Course aims:

  • To obtain an overview of the literature in deep learning methods and applications.
  • To obtain an understanding of a variety of deep learning techniques for classification, regression, and prediction.
  • To obtain the ability to implement and experiment with a wide range of deep learning algorithms in Python with examples: e.g., convolutional networks (CNN), auto-encoders, generative adversarial networks (GAN), transformers/attention (BERT)
  • To understand and implement deep learning-based methods for classification of semi/unstructured data such as images or language.

Prerequisites: HPE DSI 311 – Introduction to Machine Learning.



Date: 12th July 2022 - 11th August 2022

Time: Tues Thur 2:30 PM - 4:00 PM

Instructors: Dr. Ioannis Konstantinidis

Class Capacity: 150

Location: Online

  • HPE DSI’s courses are free for UH System students from outside the Main Campus. However, these individuals must enroll in our courses at least three weeks before the courses starting date to allow for proper registration.


Clear Lake, Victoria, Downtown, Sugar Land or Katy campuses 

Attendees who are current UHS student, staff or faculty from the Clear Lake, Victoria, Downtown, Sugar Land or Katy campuses MUST fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class.  

Current UHS (all campuses) Student, Staff or Faculty Registration Fee: Free. 


UH Alumni and Non-UH Affiliates 

Attendees who are not current UHS student, staff or faculty will need to make a payment for the course prior to its commencement. 

UH Alumni Registration Fee: $250.00. 

Non-UH Affiliate Registration Fee: $250.00. 

** Non-UH affiliates and alumni registering for the HPE DSI classes MUST: 

(1) complete the payment of the course fees ($250.00 per course) at least three(3) weeks before course commencement using this payment link 


(2) fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class.  

If you need to cancel a course for any reason, e-mail us at contact@hpedsi.uh.edu

** The following refund schedule applies:
More than three weeks before start date: A cancellation fee of 10% of the total workshop cost applies.
Less than three weeks before start date: 15% cancellation fee applies.
Less than one week before start date: 25% cancellation fee applies.
48 hours or less before class start: No refund is available.
All deposits and payments made are nontransferable. The HPE DSI cannot provide refunds, transfer payments, or offer makeup sessions for classes a student might miss, for any reason. If the HPE DSI has to cancel a workshop, you will receive a full refund.