131 Scientist courses delivered Live Online

About this training Carbon Capture and Storage (CCS) is an upcoming new technology that has a vital place within global efforts to decarbonise. It has a unique set of challenges, opportunities and risks to be understood and accommodated within appropriate legal, regulatory, and social and public license frameworks. The course has a strong international and global south emphasis with case studies on CCS projects and will touch on the role of CCS in developing country energy transition. The course satisfies a part of the market that is not currently catered for - the wider science, risks, financing, regulation, planning and social license aspects of CCS. These are issues that are as important as the technical issues in the sense that any of them can be a show-stopper for CCS. Training Objectives Upon completion of this course, participants will be able to: Place CCS within the context of the global geological carbon cycle and the contribution to could make to carbon abatement Explore the basic engineering and other challenges and solutions of CO2 transport and capture Recognize the geological challenges and solutions of CO2 storage Learn the methods of geological and environmental monitoring of CCS sites and why monitoring is important Understand the policy and finance challenges and solutions of CCS projects Know the importance of social license to operate and how to gain a social license to operate Target Audience This course will cater for in-company legal specialists, finance, project managers, marketing and communications specialists; as well as geologists, planners and environmental scientists in regulatory or government roles in regions considering the development of CCS. The course will provide up to date and relevant information to help in understanding opportunities and in managing risk. Geoscientists Government energy regulators and policy makers Financiers and investors Government natural resource and planning department Environmental scientists Finance professionals Marketing and communication professionals Legal specialists Project managers Course Level Basic or Foundation Trainer Your expert course leader is one of the most influential figures in British geoscience. He has 25 years' experience in geological, energy, and palaeontological science and research, including 8 years national level science leadership as the UK's chief geologist (Executive Chief Scientist and Director of Science and Technology of the British Geological Survey). He has been providing geoscience advice to Government for almost 15 years and has an excellent overview of Government policy, industrial activity and funding landscape in applied and energy geoscience, including CCUS and shale gas. He is a well-known communicator of science and has published three single-author popular science books (one award-winning), including the best introductory book on CCS 'Returning Carbon to Nature' Elsevier 2013. 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

About this Training Course This course aims to help geologists, geophysicists, stratigraphers and reservoir engineers gain a thorough understanding of the concepts and practical applications of sequence stratigraphy through integration of seismic sequence stratigraphy with well log sequence stratigraphy and the application of biostratigraphy to sequence stratigraphy. The course examines the geological principles, processes and terminology related to the interpretation and use of seismic sequence stratigraphy and its integration with well log sequence stratigraphy and biostratigraphy. Concepts are illustrated with field examples of seismic, well-log, core, and outcrop data and reinforced with practical exercises using real data. Course Content in Summary: Introduction to concepts, eustatic controls, seismic stratigraphy and definition of key terms. Controls - eustatic and basinal controls, accommodation and equilibrium types, systems tracts and systems tract boundaries. Sequences and systems tracts - highstand, falling stage, lowstand, transgressive and shelf margin systems tracts. Key surfaces and their identification from well logs, core, outcrop and seismic reflections. Sequence expression in well logs - log characters of parasequences, maximum flooding surfaces and criteria for picking sequence boundaries. Interpretation of systems tracts from well logs - integration of well log sequence stratigraphy with seismic sequence stratigraphy. Seismic expression of sequences - Interpretation of seismic reflections in depositional sequences - seismic sequence; seismic facies. Clastic and carbonate depositional environments - depositional responses to changes in relative sea level. Mixed systems and evaporites. Variations on the model. A review of application and exploration significance. Training Objectives By the end of this course, participants will be able to: Gain an understanding of sequence stratigraphic controls and concepts. Recognise sequence stratigraphic surfaces, systems tracts and stratigraphic sequences on well-log cross-sections, seismic lines, and outcrop profiles and depositional facies. Construct a sequence stratigraphic model by integrating lithological, biostratigraphical, seismic and well data. Apply sequence stratigraphy effectively for facies predictions in exploration and production. Target Audience This course will benefit explorationists, geologists, stratigraphers and geophysicists who wish to extend their knowledge through integration of seismic sequence stratigraphy with well log sequence stratigraphy. 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.

Duration 1 Days 6 CPD hours This course is intended for The primary audience for this course is data professionals who are familiar with data modeling, extraction, and analytics. It is designed for professionals who are interested in gaining knowledge about Lakehouse architecture, the Microsoft Fabric platform, and how to enable end-to-end analytics using these technologies. Job role: Data Analyst, Data Engineer, Data Scientist Overview Describe end-to-end analytics in Microsoft Fabric Describe core features and capabilities of lakehouses in Microsoft Fabric Create a lakehouse Ingest data into files and tables in a lakehouse Query lakehouse tables with SQL Configure Spark in a Microsoft Fabric workspace Identify suitable scenarios for Spark notebooks and Spark jobs Use Spark dataframes to analyze and transform data Use Spark SQL to query data in tables and views Visualize data in a Spark notebook Understand Delta Lake and delta tables in Microsoft Fabric Create and manage delta tables using Spark Use Spark to query and transform data in delta tables Use delta tables with Spark structured streaming Describe Dataflow (Gen2) capabilities in Microsoft Fabric Create Dataflow (Gen2) solutions to ingest and transform data Include a Dataflow (Gen2) in a pipeline This course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept. This course will explore the powerful capabilities of Apache Spark for distributed data processing and the essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables. This course will also explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines. This course includes a combination of lectures and hands-on exercises that will prepare you to work with lakehouses in Microsoft Fabric. Introduction to end-to-end analytics using Microsoft Fabric Explore end-to-end analytics with Microsoft Fabric Data teams and Microsoft Fabric Enable and use Microsoft Fabric Knowledge Check Get started with lakehouses in Microsoft Fabric Explore the Microsoft Fabric Lakehouse Work with Microsoft Fabric Lakehouses Exercise - Create and ingest data with a Microsoft Fabric Lakehouse Use Apache Spark in Microsoft Fabric Prepare to use Apache Spark Run Spark code Work with data in a Spark dataframe Work with data using Spark SQL Visualize data in a Spark notebook Exercise - Analyze data with Apache Spark Work with Delta Lake Tables in Microsoft Fabric Understand Delta Lake Create delta tables Work with delta tables in Spark Use delta tables with streaming data Exercise - Use delta tables in Apache Spark Ingest Data with DataFlows Gen2 in Microsoft Fabric Understand Dataflows (Gen2) in Microsoft Fabric Explore Dataflows (Gen2) in Microsoft Fabric Integrate Dataflows (Gen2) and Pipelines in Microsoft Fabric Exercise - Create and use a Dataflow (Gen2) in Microsoft Fabric

EnergyEdge's course empowers you with in-depth knowledge of deepwater turbidites. Acquire the necessary skills and knowledge to excel in this specialized field of study.

Get job ready with CompTIA's Data Analysis Certification. Live Classes - Career Guidance - Exam Included.

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

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

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