NEW
96
0
Course code: 000579
School of Computer Science
Discipline: Computational skills
COMP006 - Python Scripting for Subsurface
0.0
0 ratings
0 students
Upcoming sessions
Date
Duration
Location and language
Format
Price
Currently, this course is conducted only in an intracorporate format.
Special Offer
Competencies
What this course about?

In today's fast-paced technological world, Python stands out as a versatile and powerful programming language, essential for professionals across various fields. Recognizing this, our "Python Scripting for Subsurface" is meticulously designed to cater to both beginners and seasoned programmers. This intensive course promises a transformative journey, taking you from the foundational elements of Python to the complexities of advanced programming techniques.

The program kicks off with a deep dive into Python's basics, ensuring a strong foundation. Participants will immerse themselves in understanding variables, data types, and control structures, setting the stage for more advanced topics. As the course progresses, learners will explore arrays, functions, and object-oriented programming, with each module thoughtfully crafted to build upon the previous one. This progressive approach guarantees a seamless transition from fundamental concepts to advanced applications.

What sets our program apart is its emphasis on practical, hands-on learning. Each module is interspersed with interactive exercises, mini-projects, and case studies, simulating real-world scenarios. This approach not only solidifies theoretical knowledge but also enhances problem-solving and critical thinking skills. By the end of the course, participants will have not just learned Python, but will have applied it extensively, preparing them for real-world challenges.

The pinnacle of this learning journey is the capstone project, a comprehensive assignment that allows participants to apply all the skills and knowledge acquired throughout the course. In addition to the structured learning modules, our program offers daily office hours for personalized support and doubt clearance, ensuring that every learner's journey is smooth and uninterrupted. Upon completion, participants will not only receive a certification of mastery but will also have developed a robust portfolio showcasing their newfound Python expertise.

Who is this course for?
The " Python Scripting for Subsurface " is designed to cater to a diverse range of individuals who are keen on enhancing their Python programming skills. This course is ideal for:
• Beginners in Programming: Individuals with little to no prior experience in programming but who have a strong interest in learning Python from scratch.
• Software Developers and Engineers: Professionals in the software development field looking to expand their skill set with Python, one of the most in-demand programming languages in the industry.
• Data Analysts and Scientists: Those working in data analysis, data science, or related fields who want to leverage Python for data manipulation, analysis, and visualization.
• IT Professionals: System administrators, network engineers, and other IT professionals who can use Python for automating routine tasks, scripting, and cybersecurity applications.
• Career Changers: Those looking to transition into a technical field and seeking a comprehensive program to gain relevant and marketable programming skills.
This course is structured to be accessible yet challenging, ensuring that every participant, regardless of their initial skill level, can benefit significantly from it. The blend of theoretical knowledge and practical application makes it suitable for anyone looking to gain a robust understanding of Python programming.
What will you learn?
  • Understand Python Fundamentals: Grasp the basics of Python, including syntax, variables, data types, and control structures, forming a solid foundation for advanced learning
  • Write Efficient Python Code: Develop the ability to write clean, efficient, and error-free Python code, applying best practices and coding standards
  • Utilize Advanced Python Features: Gain proficiency in advanced Python concepts such as object-oriented programming, lambda functions, and exception handling
  • Handle Data with Python: Acquire skills in managing and processing data using Python's powerful libraries like Pandas, NumPy, and Matplotlib for data analysis and visualization
  • Develop and Debug Python Applications: Learn to create functional Python applications and use debugging tools to identify and fix code issues
  • Implement File Handling and Data Storage: Master techniques to read, write, and manipulate files and understand basic data storage methods in Python
  • Work with Python Libraries and Modules: Become adept at utilizing various Python libraries and modules for specialized tasks, including web development, machine learning, and scientific computing
  • Apply Python in Real-World Scenarios: Translate theoretical knowledge into practical solutions, solving real-world problems and automating tasks using Python
  • Complete a Capstone Project: Demonstrate their newly acquired Python skills by completing a comprehensive capstone project, showcasing their ability to handle a project from conception to execution
Courses in this discipline (5)
Course outline
  • Overview of Python and Environment Setup
  • Variables and Data Types
  • Casting and Operators
  • Basic User Input
  • Loops (For, While)
  • Control Statements (If, Else, Elif)
  • Practical Loop and Control Statement Exercises
  • Arrays, Lists, Tuples, and Dictionaries
  • Introduction to Functions
  • Modular Programming in Python
  • Deep Dive into Functions and Lambda Functions
  • Error and Exception Handling (Try…Except Blocks)
  • File Operations (Reading, Writing, Appending)
  • Exploring Python Modules
  • Installing Packages with Pip
  • Python's Math Module and Calculations
  • Working with Dates and Time
  • Introduction to Numpy
  • Data Manipulation with Pandas
  • Advanced Pandas Operations
  • Introduction to Matplotlib for Data Visualization
  • Exploring JSON and Scipy
  • Principles of Object-Oriented Programming
  • Classes, Objects, and Inheritance
  • Hands-on OOP Projects
  • Overview of Machine Learning Concepts
  • Introduction to Python's Machine Learning Libraries
  • Implementing a Simple Machine Learning Model
Eni
Total
Eni
Endesa
Shell
Chevron
Gas Natural
Iberdrola
Eni
Inpex
Eni
Exonmobile

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.
COMP006 - Python Scripting for Subsurface
Language: English, Russian
Level: Intermediate
mail@tecedu.org
+7 747 898 5041
+7 7182 901 933