Technical specialist training
Engineers, operators, mechanics, electricians and instrumentation specialists
The advent of the digital age and the exponential growth of data has sparked the transformation of numerous industries, with the Oil and Gas sector being no exception. Our comprehensive training program, "Fundamentals of Machine Learning and Data Science for the Oil and Gas Industry," is designed to equip professionals with the tools and skills needed to navigate and leverage this data-centric landscape.
The program is organised into six modules, beginning with foundational data science skills. Here, participants will explore Python and R, two powerful programming languages essential to modern data science. The first module also introduces participants to the world of Excel for basic data manipulation—a crucial, often overlooked, aspect of data science.
The second module delves into data visualization and analysis, utilizing advanced features of Excel and the dynamic capabilities of Power BI. In today's data-driven decision-making processes, the ability to present data in a meaningful, visually appealing manner is of paramount importance. With Power BI, participants will learn to create interactive visualizations and dashboards, thereby enhancing their ability to communicate complex data insights effectively.
From there, the program transitions to the practical applications of machine learning, with separate modules dedicated to regression and classification techniques. Participants will learn to predict the mass of oil, carry out facies classification, and handle imbalanced data scenarios, which are common in the Oil and Gas industry.
In the fifth module, the program explores the increasingly important field of Natural Language Processing (NLP), teaching participants how to analyse textual data and classify injury reports—a key aspect of Health, Safety, and Environment (HSE) management in the Oil and Gas sector.
The final module introduces participants to the cutting-edge field of Deep Learning, using TensorFlow to apply techniques such as image segmentation for identifying salt deposits in seismic sessions.
By the end of this training course, participants will have gained a broad yet detailed skill set. They will be equipped to apply Python and R for data science tasks, perform data manipulation and analysis using Excel, and create dynamic visualizations with Power BI. In addition, they will have a firm grasp of applying various machine learning algorithms, conducting NLP for textual data, and implementing deep learning techniques for image analysis.
This training program is ideal for a wide range of professionals, from engineers and data scientists to researchers and managers. Even those transitioning their careers or starting their journey in data science will find the course beneficial. Ultimately, this program aims to cultivate a data-driven mindset, enabling professionals to leverage machine learning and data science to drive innovation and efficiency in the Oil and Gas industry.
Training can take place in 4 formats:
Description of training formats:
When forming groups of students, special attention is paid to important criteria - the same level of knowledge and interests among all students of the course, in order to maintain stable group dynamics during training.
Group dynamics is the development of a group in time, which is caused by the interaction of participants with each other and external influence on the group. In other words, these are the stages that the training group goes through in the process of communicating with the coach and among themselves.
The optimal group size for different types of training:
Feedback in the form of assessments and recommendations is given to students during the course of training with the participation of an instructor and is saved in the course card and student profile.
In order to control the quality of the services provided, students can evaluate the quality and training programme. Forms of assessment of the quality of training differ for courses with the participation of an instructor and those that are held in a self-paced format.
For courses with an instructor, start and end dates are indicated. At the same time, it is important to pay attention to the deadlines for passing tests, exams and practical tasks. If the specified deadlines are missed, the student may not be allowed to complete the entire course programme.
A personal account is a space for storing your training preferences, test and exam results, grades on completed training, as well as your individual plan for professional and personal development.
Users of the personal account have access to articles and blogs in specialized areas, as well as the ability to rate the completed training and leave comments under the articles and blogs of our instructors and technical authors
Registered users of a personal account can have various roles, including the role of a student, instructor or content developer. However, for all roles, except for the student role, you will need to go through an additional verification procedure to confirm your qualifications.
Based on the results of training, students are issued a certificate of training. All training certificates fall into three main categories:
You can always download a copy of your training certificate in PDF format in your personal account.
You will still have access to the course after completing it, provided that your account is active and not compromised and Tecedu is still licensed for the course. So if you want to review specific content in the course after completing it, or do it all over again, you can easily do so. In rare cases, instructors may remove their courses from the Tecedu marketplace, or we may need to remove a course from the platform for legal reasons.
During the training, you may encounter various forms of testing and knowledge testing. The most common assessment methods are:
Travel to the place of full-time training is not included in the cost of training. Accommodation during full-time studies can be included in the full board tuition fees.
While Tecedu is not an accredited institution, we offer skills-based courses taught by real experts in their field, and every approved, paid course features a certificate of completion or attendance to document your accomplishment.
You can preview samples of the training materials and review key information about the course on our website. You can also review feedback and recommendations from students who already completed this course.
We want you to be happy, so almost all purchased courses can be returned within 30 days. If you are not satisfied with the course, you can request a refund, provided the request complies with our return policy.
The 30-day money back policy allows students to receive quality teaching services with minimal risk, we must also protect our teachers from fraud and provide them with a reasonable payment schedule. Payments are sent to instructors after 30 days, so we will not process refund requests received after the refund period.
We reserve the right, in our sole discretion, to limit or deny refund requests in cases where we believe there is refund abuse, including but not limited to the following:
We accept most international credit and debit cards like Visa, MasterCard, American Express, JCB and Discover. Bank Transfers also may be an option.
Conducting classes is based on the fact that the teacher demonstrates text, drawings, graphics, presentations on an interactive board, while the content appears in the student's electronic notebook. A specially designed digital notepad and pen are used to create and edit text and images that can be redirected to any surface via a projector.
Classes are live streamed online, automatically recorded and published on the Learning Portal, allowing you to save them for reuse anytime, anywhere, on any mobile device. This makes it possible not to miss classes and keep up with classes and keep up with the passage of new material.
Real-life training uses the principles of game organization, which allows future professionals to rehearse and hone their skills in a virtual emergency. Learning as a game provides an opportunity to establish a connection between the learning activity and real life.
The technology provides the following learning opportunities:
Basic principles of training:
The main advantages of Game Based Learning technology:
Conducting practical classes online using remote access technologies for presentations, multimedia solutions and virtual reality:
000463
Discipline: Industry-specific digital skills
000615
Discipline: Industry-specific digital skills