131 Scientist courses in Belfast delivered Live Online

English language book club to use and improve your English. Qualified and experienced British English teacher.

About this Training Course To the non-geologist, working with Petroleum Geologists can be confusing. Petroleum geology has specific terminology and many concepts and data sources unfamiliar to the uninitiated. This course has been designed to introduce these terms and provide an insight into how oil and gas are formed, how they are found and how they are extracted. Using a holistic combination of lectures, experiments, case study and practical exercises, the course involves an introduction to fundamental geological concepts, to exploration techniques, prospecting, drilling, well logs and recovery methods. The course will also demystify the terminology surrounding petroleum geology, demonstrate the use of geological information to show the value and weakness of different datasets, and lead to better communication and decision-making between the geologists and non-geologists. It will feature world-class virtual reality field trips that incorporate activities and features unavailable in the physical field, and provide for a more integrated and flexible learning resource (also see the trainer's article on page 4 which was first published in GEO ExPro Magazine, the upstream oil and gas industry's favourite magazine). Course Highlights: Course facilitator has delivered petroleum geology training to many companies over the years Facilitator is also a professionally trained teacher and former university lecturer who is experienced in communicating with people at all levels of technical knowledge Practical exercises, experiments, examination of real rocks, a virtual reality field trip and case study are used to clarify and reinforce important concepts Training Objectives By attending this training, you will be able to acquire the following: Understand the geological methods and principles used in hydrocarbon exploration, development and production. Understand the key elements of a petroleum system, from hydrocarbon source to reservoir and seal Appreciate basin analysis, regional geology and play based exploration techniques Be aware of the different sorts of hydrocarbon trap from structural to stratigraphic Understand the technical terminology, tools and methods used in exploration geology Learn about unconventional Understand and evaluate the sources and reliability of various types of geological information Understand acquisition, processing and interpretation of seismic data Learn the technical processes and terminology involved in exploration Understand how a prospect is defined and risked Understand how seismic, existing well information and outcrop geology can be used for exploration Gain an understanding of the methods used for petroleum geology to allow a discovery to be appraised and then developed Target Audience The course is suitable to all personnel, but those that benefit most include: This course will benefit Petroleum Engineers (reservoir, drilling, production) who work with geological data, Geophysicists with little or no geological background, Project managers whose teams include petroleum geologists, Finance, Procurement, Marketing and Communications staff, and government Data Managers who handle petroleum geological data and need to understand the sources of different types of data. Trainer Your expert course leader is the Geosciences Technical Director for PetroEdge. She was previously, the manager of Robertson Petroleum Training Centre and a Senior Project Scientist at Robertson CGG. She has over 20 years of experience in teaching geology and leading field trips. Prior to her 8 years at Robertson, she was in academia as a lecturer for 6 years and a Research Fellow for 3 years. She has conducted fieldwork and led field trips in the US and many areas in the UK. In addition, she has led university regional geology day schools and has comprehensive experience in course and study programme writing. She has extensive experience in delivering courses and in Clastic and Carbonate Reservoir Geology, Deepwater Turbidites, Sandstone Reservoirs, Wireline Log Interpretation, Integrated Sequence Stratigraphy, Basin Analysis and Exploration & Appraisal workshops globally. In delivering the Exploration Team Management Workshop, she has project managed and taught key principles and modules on project planning, data collection/collation, geophysical assessment, stratigraphy and facies mapping, source rock facies and hydrocarbon generation, play fairway mapping, risking and prospect evaluation. Her knowledge and enthusiasm for instructing is reflected in consistently being rated as excellent by trainees, and clients specifically requesting her participation in courses. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

English language book club to use and improve your English. Qualified and experienced British English teacher.

English language book club to use and improve your English. Qualified and experienced British English teacher.

English language book club to use and improve your English. Qualified and experienced British English teacher.

English language book club to use and improve your English. Qualified and experienced British English teacher.

Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client

English language book club to use and improve your English. Qualified and experienced British English teacher.

English language book club to use and improve your English. Qualified and experienced British English teacher.

A beautiful guided meditation to embrace the new moon in VIRGO. Time to start your new adventure! A great way to balance your aura and chakra system bringing sense of relaxation and peace