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Energy Data Analytics Program

EXECUTIVE SUMMARY

Energy professionals – current and future – have to gain deeper insights into operational data for making tougher decisions. UH Energy’s new Upstream Energy Data Analytics Program answers this need for the upstream oil and gas industry.

Designed and presented by leaders from industry and accomplished faculty from the University of Houston, the program provides a structured series of micro-credentials or “badges” that will provide the necessary data sciences skillset to facilitate developing solutions to current and emerging challenges using advanced data-based decision making.

Each badge is a 15-hour module, delivered over a 2-week period, and the badges are stackable. The first three badges, which together form the Bronze Belt in Upstream Energy Data Analytics, are available online from UH Energy, starting July 20, 2020.

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PROGRAM OVERVIEW

The oil and gas industry is undergoing significant changes, including repositioning operations to be cost-competitive in a world of low oil prices, and meeting the growing demands of energy in a sustainable way.

This requires working in smarter and more efficient ways. Innovation has always been at the core of the oil and gas industry. Many oil and gas companies are already finding ways to implement data sciences solutions and are realizing tangible benefits, including competitive advantage.

Why This Program?

Data sciences are already playing an important role in addressing several industry challenges. Industry leaders have validated these claims and have recognized that there is a workforce shortage in skilled data sciences with an understanding of the energy industry.

For this reason UH Energy, at the University of Houston, has developed the Upstream Energy Data Analytics Program, to equip current and aspiring professionals in the upstream oil and gas industry on data analytics concepts and hands on experience on applications with real world examples.

UH Energy will deliver the program in collaboration with NExT, a Schlumberger Company, UH Departments of Earth & Atmospheric Sciences and Petroleum Engineering and the HPE Data Sciences Institute at UH.

Who Should Attend?

The Upstream Energy Data Analytics Program has been designed with two distinct groups in mind:

  • Those of you who are already in the upstream industry and facing challenges daily in making operations more efficient while continuing to grow the business. The Upstream Energy Data Analytics program will enhance your capabilities to get deeper insights from the data that you deal with, facilitating finding solutions to above challenges.
  • If you are readying yourself for an upstream career, you need to prepare yourself for a dynamic, exciting and challenging professional life. The Upstream Energy Data Analytics program provides a unique perspective and a ready to apply practical skillset, giving you a competitively advantaged competence as you enter the upstream oil and gas marketplace.

Pricing

INDIVIDUAL BADGES: $600 EACH

BRONZE BELT BUNDLE (ALL 3 BADGES): $1500

Schedule

UH Energy is offering the Bronze Belt in Upstream Energy Data Analytics, starting July 20. The Bronze Belt consists of three badges. Instruction for each badge consists of 6, 2-hour online sessions. Each student should allow for 1.5 hrs. each for midterm and final test. Sessions are delivered three times per week, Monday, Wednesday and Fridays, from 6:00-8:00 pm, US Central Time.

Dates for the three badges are:

Badge 1 - Introduction to Upstream Data Processing:

Badge 2 - Upstream Data Models:

Badge 3 - Advanced Upstream Data Models:

*The later badges build on the content of earlier badges, so participants are required to take the badges in the specified sequence.

Credentialing Overview

The course is offered in 15 hour modules, each over a 2 week period. Digital badges are awarded for each module. For completing each group of 3 Badges, learners will earn a Belt. There are three belts in the program. The Introductory Belt (Bronze) is followed by an Intermediate Belt (Silver) and finally by an Advanced (Gold) Belt. The Belts and Badges will be a permanent addition to your skillset and resume.

BRONZE BELT

The Bronze Belt provides the participants the tools and techniques to build and evaluate data-driven models via the machine learning approach. It covers the data analytics techniques to extract knowledge from raw data by building data-driven models. All aspects of data-mining – data exploration, data preprocessing, machine learning modeling, and model evaluation – are covered. The sessions combine theoretical knowledge with hands-on training of the data analytics techniques using real oil and gas datasets.

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SILVER BELT

The Silver Belt is designed to provide the foundations of Python programming for developing powerful and reusable data analysis models and Text Analytics. The students will get hands-on training on writing programs to facilitate discoveries from data. The topics include data import/export, data types, control statements, functions, basic data processing, and data visualization.

GOLD BELT

The Gold Belt will introduce participants to tools and techniques for building and interpreting valid models for time series data using examples in the upstream oil and gas industry. Participants will also be introduced to fundamentals of Deep Learning, as well as Convolutional Neural Networks and Recurrent Neural Networks. Hands on sessions will focus on building CNN and RNN using the Keras library in Python.

Learning Objectives

After successfully completing the Introductory (Bronze) Belt, participants will understand how to extract knowledge from raw data and be skilled at:

  • Data Exploration
  • Data Preprocessing
  • Machine Learning Modeling
  • Evaluating Model Performance
  • Improving Model Performance

Credentialing Program Prerequisites

Either:

  • Rising senior in a bachelor’s degree program in engineering, technology or business with an understanding of upstream oil and gas operations such as seismic, drilling and production
  • Upstream Oil and Gas Industry Professional

Frequently Asked Questions

The first step is to complete the
UH Energy will review your application to ensure that you satisfy the minimum requirements to register. For Badge 1, this means that you should either be:
  • An Industry Professional - Priority is given to applicants from within the energy sector, with experience in upstream oil and gas operations
  • A Student - Either in a graduate program, or a rising senior in a bachelor’s degree program in engineering, technology or business with an understanding of upstream oil and gas operations such as seismic, drilling and production
After we received your application, it will be reviewed by the admissions committee. They will notify you of their decision within two business days. If we are able to offer you a seat in the program, we will send you instructions for online payment. Your application will be accepted upon receipt of your payment.
Currently we only accept credit card payments.
The course is delivered online as a live synchronous delivery. Some of the lectures are prerecorded in segments of roughly 20 minutes each. The recorded segments are followed by live interaction with instructors in real time. The live interaction will be used to expand on some of the topics in the recorded lectures, and to resolve any misunderstandings and/or questions that that learners may have. Numerical examples will be solved using Orange software to illustrate the principles taught and students will have an opportunity practice solving problems using Orange software.
Yes. Each Badge is covered over two weeks. At the end of the first week, students will have an online multiple choice test for homework, and will have to achieve a passing grade to proceed to the next week. If one does not pass on the first attempt, one can review the course material and re-take the test as many times as one wishes. At the end of the second week, there will be a final exam for the Badge. One needs to get a passing grade to move on to the next Badge. The same rules for passing apply for the final as for the test held at the end of the first week.
If you miss a class, or a portion of a badge, the material will be available as recorded material, and you can view the recordings at your convenience. However, we strongly recommend that you attend the course synchronously, as the live interaction with instructors is an important instructional component.
Yes. The later badges build on the content in the earlier ones, so it is important to take the badges in the specified sequence.
If you miss a badge, you may be able to register for the badge for delivery through asynchronous recordings, and you will have to complete and pass all of the homework and exams to earn the badge. The asynchronous (i.e., recorded) material will be available, and you can qualify by viewing the recordings and achieving passing grades on the tests. However, we strongly recommend that you attend the course synchronously, as the live interaction with instructors is an important instructional component. The same registration process and fees apply whether you participate in the course in real time, or if you only participate asynchronously.

Micro-credentials are certifications for mastery of specific topic areas or skillsets. To earn a micro-credential, you typically have to complete a certain number of activities, assessments, or projects related to the topic.

Digital badges (or ebadges) are a validated indicator of accomplishment, skill, quality or interest that can be earned in various learning environments. Digital badges are now commonly used as “digital transcripts,” and they can be incorporated in LinkedIn profiles. Many badge earners also display their badges through social media.

Use and Acceptance: Micro-credentials and digital badges are now widely accepted by employers as evidence of competency in specific skills. They have been in use for roughly ten years, notably in the IT arena, where IBM has been a leader. IBM needed to train personnel to support rapidly changing product needs. Rather than using extended training programs, they developed training for minimum skillsets, and deployed this through online media. They awarded micro-credentials to successful candidates and issued digital badges to certify the awards. Many other companies, large and small, are now using digital credentials, as are many academic institutions, including the University of Houston, Harvard, Cambridge, and a large number of other universities.

Students who have registered can withdraw from the course at any time. However, participants need to withdraw two days before start of classes to receive a refund. If you have paid for the Bronze bundle (all three badges) and would like to withdraw after completing a badge, you may do so two days before the start of classes for the next badge to receive a refund for the remaining badges.

If you cannot find the information you need on the webpage or in the other FAQs, please contact:

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