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Course code: 000491
Operational Risk Management Center
HSSE074 - HSE Data Science and Analytics
4.5
6 ratings
12 students
Author:
Samir Aliyev
Upcoming sessions
Date Format Location Language Price
Any time $99,99
Self-paced
Online , Russian Russian Self-paced Register for the course
24.02.2025 - 26.02.2025 $550,00
Webinar
Online , Russian Russian Webinar Register for the course
03.09.2025 - 05.09.2025 $1 200,00
Classroom
Баку , Russian Russian Classroom Register for the course
08.10.2025 - 10.10.2025 $1 200,00
Classroom
Баку , Russian Russian Classroom Register for the course
12.11.2025 - 14.11.2025 $1 200,00
Classroom
Алматы , Russian Russian Classroom Register for the course
12.11.2025 - 14.11.2025 $550,00
Webinar
Online , Russian Russian Webinar Register for the course
03.12.2025 - 05.12.2025 $1 200,00
Classroom
Алматы , Russian Russian Classroom Register for the course
Special Offer
Competencies
What this course about?

Safety enhancement is the priority of every organization. Annually millions of dollars are spent to develop procedures and practices to diminish the health, safety and environmental disasters. Monitoring incidents and hazards and performing timely analysis leads to effective remediation efforts. In oil and gas upstream industry, a thorough understanding of HSE data and intelligent data analytics is essential to improve safety and particularly to reduce injuries and fatalities. Most of the conventional HSE management and hazard identification systems are incapable of agile and automated data integration and smart decision making. Furthermore, HSE incident database is often too intricate to comprehend, and its analysis is solely dependent on personal skills of individuals. In order to extract explanatory features' relationship and intelligently make execution strategies, a big data analytics platform is developed.

As businesses are profit-making entities it can be beneficial to promote the cost-saving and productivity benefits of good safety management. For many, this is where predictive analytics comes in. This method of data analysis can be used to predict future outcomes of a wide variety of business activities.

What are the benefits of predictive analytics? Putting forward the right business case for predictive analytics will increase the rate of adoption and make it easier to justify when used in health and safety. Predictive analytics use has benefits for many different areas within workplace management.

Reducing risk is a core function in large businesses both in terms of managing health and safety and the long-term sustainability of the company. The adoption of predictive analytics has already taken place heavily in the field of finance and insurance with the oil and gas industry stepping up their adoption in an attempt to reduce workplace incidents and increase their profitability.

One of the costs of running a business with a reliance on heavy machinery is the monitoring and maintenance of the equipment. As machines become more intelligent with increased recording capabilities, predictive analytics will be able to be increasingly integrated, reducing the amount of human monitoring that needs to take place. This will reduce the contact between the worker and the machine reducing the risk of injury. Additionally, time will also be saved through the fewer human hours that will be needed to monitor and maintain equipment.

Who is this course for?
This training course has been designed for professionals whose jobs involve in the manipulation, representation, interpretation and/or analysis of data.
What will you learn?
  • Identify data properties and detect potential issues; address data problems such as sampling bias, missing values, and excessively small or large samples
  • Conduct time series analysis and choice analysis
  • Determine causal effects using potential outcomes
  • Implement causal analysis methods (matching, instrumental variables, regression discontinuity, difference-in-differences, fixed effects). Identify the causal assumptions required for each type of statistical method
  • Express assumptions using causal graphs
Courses in this discipline (18)
Instructor
Verified
19 students 4.7 (9 reviews)
Instructor
#Warehouse Management
#Incidents investigation
Samir is a seasoned HSE professional with over 20 years of experience working in the oil and gas industry, encompassing service and operator roles. He holds a Master of Science in Risk and Safety Management from a prestigious British university, as well a...
Read more
Course outline
2.1. Источники данных в Power BI Desktop
2.2. Источники данных базы данных
2.3. Подключение к источнику данных
2.4. Импорт Excel файлов в Power BI Desktop
3.1. Power Query
3.2. Pivot, транспонирования и группировка данных
3.3. Объединение таблиц
3.4. Присоединение таблицы
3.5. Моделирование данных
3.6. Ключи
4.1. Обзор
4.2. Наиболее часто используемые функции DAX
4.3. Меры и вычисляемые столбцы
4.4. Случаи использования
4.5. Быстрая мера
5.1. Коробчатый график
5.2. Выбросы
5.3. Распределение данных
5.4. Форма распределения
5.5. Среднее, медиана, мода и диапазон
5.6. Стандартное отклонение и дисперсия
5.7. Масштабирование параметров
5.8. Нормализация и стандартизация
5.9. Плюсы и минусы
5.10. Корреляция
5.11. Линейная регрессия
5.12. Корреляция в Power BI
6.1. Линейный сюжет
6.2. Иерархия
6.3. Drill down (Детализация)
6.4. Фильтры
6.5. Слисеры
6.6. Диаграммы для пирога/пончика
6.7. Карта дерева
6.8. Матрица / таблица
6.9. Карты
6.10. Облако слов
6.11. Диаграмма распределения
6.12. Воронкообразная диаграмма
6.13. Датчик диаграмма
6.14. Q&A - вопросы и ответы
7.1. Доступность
7.2. Цветовая слепота и зрение
7.3. Восприятие формы
7.4. Наилучшие практики для информационных панелей
7.5. Количество графиков на каждой странице
7.6. Информация о каждом графике
Eni
Total
Eni
Endesa
Shell
Chevron
Gas Natural
Iberdrola
Eni
Inpex
Eni
Exonmobile
Students feedback
Overall assessment of the course
4.5
50%
50%
0%
0%
0%
The learning objectives were clear throughout the entire training process
4.5
67%
17%
17%
0%
0%
I am confident that I will be able to apply the acquired knowledge / skills in their work
4.2
33%
50%
17%
0%
0%
Learning objectives have been achieved
4.2
17%
83%
0%
0%
0%
The content of the program matched my work tasks
4.2
50%
17%
33%
0%
0%
The complexity of the training program corresponded to the level training trainees
4.2
17%
83%
0%
0%
0%
After completing this training program, I have upgraded your level of knowledge in this area
4.0
50%
0%
50%
0%
0%
After completing this training program, I have upgraded the level of their skills in this area
4.0
50%
0%
50%
0%
0%
I can recommend this program to my colleagues
4.7
67%
33%
0%
0%
0%
Tulegen
16.06.2023
4.0
The most important things you learned in learning process:
Масштабная база, в которой можно генерировать данные, данные сохраняются и могут менятся в зависимости от требуемых критерий
What did you like the most:
Хорошее соотношение теории и практики
Dina
16.06.2023
5.0
The most important things you learned in learning process:
practically learned how to import data to Power BI, how to visualise them
What did you like the most:
most liked practical exercises on connecting data to the visuals, liked how Trainer related on what we see on the PC and how the computer processing it
Ilyas
16.06.2023
4.0
The most important things you learned in learning process:
Возможности программы, о которой раньше не знал.
What did you like the most:
Огромные возможности Power BI.
Expand

Training can take place in 4 formats:

  • Self-paced
  • Blended learning
  • Instructor-led online (webinar)
  • Instructor-led offline (classroom)

Description of training formats:

  • Self-paced learning or e-Learning means you can learn in your own time and control the amount of material to consume. There is no need to complete the assignments and take the courses at the same time as other learners.
  • Blended learning or "hybrid learning" means you can combine Self-paced learning or e-Learning with traditional instructor-led classroom or webinar activities. This approach requires physical presence of both teacher and student in physical or virtual (webinars) classrooms or workshops. Webinar is a seminar or presentation that takes place on the internet, allowing participants in different locations to see and hear the presenter, ask questions, and sometimes answer polls.
  • Instructor-led training, or ILT, means that the learning can be delivered in a lecture or classroom format, as an interactive workshop, as a demonstration under the supervision and control of qualified trainer or instructor with the opportunity for learners to practice, or even virtually, using video-conferencing tools.

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:

  • Self-paced / E-learning: 1
  • Instructor-led off-line (classroom): 6 – 12
  • Instructor-led on-line (webinar): 6 – 12
  • Blended learning: 6 – 12
  • Workshop: 6 – 12
  • On-the-job: 2 – 4
  • Simulator: 1 – 2

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:

  • Certificate of Attendance - students who successfully completed the course but did not pass the tests and exams can apply for a certificate of attendance.
  • Certificate of Completion - students who have successfully completed a course could apply for a Certificate of Completion, this type of certificate is often required for compliance training.
  • Verified Certificate - it is a verified certificate that is issued when students have passed exams under the supervision of a dedicated proctor.

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:

  • preliminary (base-line assessment) - to determine the current level of knowledge and adapt the personal curriculum
  • intermediate - to check the progress of learning
  • final - to complete training and final assessment of knowledge and skills, can be in the form of a project, testing or practical exam

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:

  • A significant portion of the course has been consumed or downloaded by a student before the refund was requested.
  • Multiple refunds have been requested by a student for the same course.
  • Excessive refunds have been requested by a student.
  • Users whose account is blocked or access to courses is disabled due to violation of our Terms and Conditions or the Rules of Trust and Security.
  • We do not grant refunds for any subscription services.
  • These refund restrictions will be enforced to the extent permitted by applicable law.

We accept most international credit and debit cards like Visa, MasterCard, American Express, JCB and Discover. Bank Transfers also may be an option.

Smart Virtual Classroom (open digital / virtual classroom).

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.

Game Based Learning (learning using a virtual game environment)

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:

  • Focused on the needs of the user
  • Instant feedback
  • Independent decision making and choice of actions
  • Better assimilation and memorization of the material
  • Adaptive pace of learning tailored to the individual needs of the student
  • Better transfer of skills learned in a learning situation to real conditions

Basic principles of training:

  • A gradual increase in the level of difficulty in the game;
  • Using a simplified version of a problem situation;
  • Action in a variable gaming environment;
  • The right choice is made through experimentation.

The main advantages of Game Based Learning technology:

  • Low degree of physical risk and liability
  • Motivation to learn while receiving positive emotions from the process;
  • Practice - mirroring the real situation
  • Timely feedback
  • Choice of different playing roles
  • Learning in collaboration
  • Developing your own behavior strategy
Laboratory workshops using remote access technologies

Conducting practical classes online using remote access technologies for presentations, multimedia solutions and virtual reality:

  • Laboratory workshops that simulate the operation of expensive bench equipment in real production
  • Virtual experiment, which is visually indistinguishable from a remote real experiment performed
  • Virtual instruments, which are an exact copy of real instruments
  • Mathematical modeling to clarify the physical characteristics, chemical content of the investigated object or phenomenon.
HSSE074 - HSE Data Science and Analytics
Language: English, Russian
Level: Intermediate
Self-paced
from 99.99 $
mail@tecedu.org
+7 747 898 5041
+7 7182 901 933