1301 Scientist courses in Dover delivered Online

Imagine creating an intelligent chatbot that can understand and respond to user inputs, provide recommendations, and automate mundane tasks. This is just one of the many things you can do with ChatGPT. Learning outcomes: Develop a strong understanding of ChatGPT's basic and advanced features Learn how to build and scale your business using ChatGPT Explore the power of ChatGPT in various industries, such as education, graphic design, and Excel Discover the best tools and extensions to use with ChatGPT ChatGPT Masterclass: A Complete ChatGPT Zero to Hero is an online course that covers all aspects of ChatGPT, from the basics to the advanced features. The course is divided into nine sections, each focused on a specific area of ChatGPT. You'll learn how to use ChatGPT to develop chatbots, automate tasks, and generate incredible graphic art with Dall-E 2. You'll also discover the best tools and extensions to use with ChatGPT to enhance its capabilities. Certification Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is ideal for anyone looking to develop a strong understanding of ChatGPT and leverage its power to build intelligent chatbots, automate tasks, and generate graphic art. Whether you're a student, developer, business owner, or Excel professional, this course will provide you with the knowledge and skills you need to take your ChatGPT game to the next level. Career path Chatbot developer (average salary: £40,000 - £60,000 per year) AI developer (average salary: £50,000 - £80,000 per year) Data scientist (average salary: £35,000 - £75,000 per year) UX designer (average salary: £25,000 - £50,000 per year) Chatbot marketer (average salary: £25,000 - £50,000 per year) AI consultant (average salary: £60,000 - £120,000 per year)

In this course, you will learn how to perform data cleaning and data preparation with KNIME and without coding. You should be familiar with KNIME as no basics are covered in this course. Basic knowledge of machine learning is certainly helpful for the later lectures in this course.

Particle physics and radiation detection are at the forefront of technological innovation in the modern age. These fields are integral to scientific research and development, as well as applications in medical, energy, and aerospace industries. With our Particle Accelerators and Radiation Detectors course, you can gain a comprehensive understanding of these important areas and unlock new opportunities in your career. Learning Outcomes: Understand the basic principles of particle physics Identify and describe elementary particles and the nucleus Analyse the technology and operation of particle accelerators and radiation detectors Evaluate the principles of nuclear physics Examine the Standard Model Interpret the applications and impact of particle physics in modern society Our Particle Accelerators and Radiation Detectors course is designed to provide a comprehensive understanding of the exciting field of particle physics. Over the course of seven modules, you will gain a solid foundation in the fundamental principles of particle physics, from the properties of elementary particles to the technology behind particle accelerators and radiation detectors. Through theoretical discussions and case studies, you will learn to evaluate the principles of nuclear physics and the Standard Model, as well as to interpret the applications and impact of particle physics in modern society. Our course is perfect for anyone looking to deepen their understanding of the universe, from physics students to professionals in related fields. Certification Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The target audience for the course is: Students of physics and related fields Professionals in scientific research and development Anyone with an interest in particle physics and the universe Individuals looking to expand their knowledge of scientific principles Career path Particle Physicist (salary range: £30,000 - £80,000 per year) Nuclear Physicist (salary range: £25,000 - £60,000 per year) Research Scientist (salary range: £25,000 - £65,000 per year) Medical Physicist (salary range: £25,000 - £55,000 per year) Radiographer (salary range: £24,000 - £40,000 per year) Engineer in particle accelerator technology (salary range: £30,000 - £80,000 per year)

3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support

The goal of this course is to teach you the fundamentals of Alteryx and teach you a more efficient way to clean and prepare your data. You'll learn to work with data in new ways other than Tableau and PowerBI, using Alteryx for all your data analysis needs.

The course covers data science and machine learning with R.

Are you intrigued by the fascinating world of laboratories? Wondering how you can embark on a rewarding career as a Lab Technician? Look no further than our comprehensive course bundle in Lab Technician, Microbiology, and Biomedical Science. In today's scientific landscape, the demand for skilled Lab Technicians is soaring. From conducting experiments to analysing data, Lab Technicians play a crucial role in various fields, including research institutions, healthcare facilities, and industrial laboratories. Our course bundle equips you with the knowledge and expertise necessary to excel in this dynamic profession. By enrolling in our program, you will delve into the intricacies of laboratory techniques, safety protocols, and data analysis methods. From handling samples to operating cutting-edge equipment, you will develop essential skills that are essential for conducting experiments with precision and accuracy. The course bundle comprises of the following eight comprehensive courses: Laboratory Technician Diploma Diploma In Microbiology Biomedical Science Basic Biology DNA and Genealogy Genetics Infection Control PPE Legislation and Compliance Learning Outcomes: Develop a comprehensive understanding of laboratory techniques and procedures for conducting scientific experiments. Gain knowledge of the principles and applications of microbiology, including the study of microorganisms, their growth, and identification. Acquire a deep understanding of biomedical science, exploring the interplay between biology and medical applications. Establish a solid foundation in basic biology, covering fundamental concepts and principles of living organisms. Explore the field of DNA and genealogy, understanding the role of DNA in determining ancestry and genealogical relationships. Gain insight into the principles of genetics, including inheritance patterns, gene expression, and genetic variation. Laboratory Technician Diploma: Master laboratory techniques, safety protocols, and data analysis methods. Gain practical skills in sample handling, equipment operation, and quality control. Develop proficiency in record-keeping and report writing. Join a supportive learning community. Diploma In Microbiology: Explore microorganisms and their impact on health, disease, and industries. Learn lab techniques for isolating and identifying microorganisms. Understand microbial genetics and applications in biotechnology. Contribute to public health. Biomedical Science: Discover the link between biology and medicine. Study human body systems, disease mechanisms, and diagnostic methods. Gain lab skills in cell culture and molecular biology. Prepare for a career in research or healthcare. Basic Biology: Build a foundation in biological principles. Study cells, genetics, and evolution. Analyse ecological interactions and biodiversity. Apply biology to medicine, agriculture, and conservation. DNA and Genealogy: Uncover ancestral connections through DNA analysis. Learn DNA structure and gene expression. Explore inheritance patterns and genetic testing. Interpret genetic data and trace family lineages. Genetics: Deepen your understanding of inheritance and genetic variation. Study gene expression, genetic disorders, and modern genetic technologies. Analyse complex traits and population genetics. Contribute to research and healthcare. CPD 80 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring laboratory technicians in research, healthcare, or industry. Those interested in microorganisms, their role, and applications. Individuals seeking a biomedical science career or further study. Those wanting a solid foundation in basic biology for various fields. Career path Laboratory Technician: £18K to £30K/year Microbiologist: £20K to £40K/year Biomedical Scientist: £25K to £45K/year Genetic Technologist: £25K to £40K/year Research Assistant: £20K to £35K/year Healthcare Scientist: £30K to £50K/year Certificates Certificate Of Completion Digital certificate - Included Certificate Of Completion Hard copy certificate - Included You will get a complimentary Hard Copy Certificate.

Course Overview Discover how to become a data scientist, prove hypotheses, and build complex algorithms with this advanced course on Statistics & Probability for Data Science & Machine Learning. This intuitive training will empower you to manipulate records and understand how to break down the most complex processes in this fascinating field. This comprehensive Data Science tutorial delivers the ideal way to learn the methodology and principles needed to excel in this sector. You will be given expert tuition in using all the relevant concepts for analysing information, gain a genuine understanding of these concepts, and attain the skills to excel in appropriate IT commercial industries. Complete this training, and you will have a unique advantage to work in such areas as automobile design, banking service, media forecasting, and much more. This best selling Statistics & Probability for Data Science & Machine Learning has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Statistics & Probability for Data Science & Machine Learning is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Statistics & Probability for Data Science & Machine Learning is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Statistics & Probability for Data Science & Machine Learning is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Statistics & Probability for Data Science & Machine Learning, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Statistics & Probability for Data Science & Machine Learning will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Statistics & Probability for Data Science & Machine Learning to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Unleashing the Power of Deep Learning: Mastering Neural Network with R Dive into the fascinating realm of artificial intelligence with our course, 'Deep Learning Neural Network with R.' Imagine a world where machines learn and make decisions, mimicking the intricacies of the human brain. This course is your gateway to unlocking the secrets of deep learning, focusing on neural networks implemented using the versatile R programming language. Immerse yourself in hands-on projects, from creating single-layer neural networks for agriculture analysis to mastering multi-layer neural networks for predicting deaths in wars. The journey begins with reviewing datasets and creating dataframes, leading you through running neural network code and generating insightful output plots. Join us in this captivating exploration, where coding meets creativity, and algorithms come to life. Learning Outcomes Master the fundamentals of single-layer neural networks, gaining the skills to analyze agricultural datasets effectively. Acquire proficiency in implementing multi-layer neural networks, specifically tailored for predicting outcomes in complex scenarios like deaths in wars. Develop hands-on experience in creating and manipulating dataframes for enhanced data analysis. Gain a deep understanding of neural network syntax, commands, and code execution in the R programming language. Hone your ability to generate meaningful output plots, transforming raw data into visually compelling insights. Why choose this Deep Learning Neural Network with R course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Deep Learning Neural Network with R course for? Aspiring data scientists and analysts eager to delve into the world of deep learning. R programming enthusiasts looking to enhance their skills with practical applications. Students and professionals in computer science, statistics, or related fields. Individuals seeking to understand the implementation of neural networks in real-world scenarios. Anyone fascinated by the intersection of coding, data analysis, and artificial intelligence. Career path Machine Learning Engineer: £40,000 - £70,000 Data Scientist: £35,000 - £60,000 Artificial Intelligence Researcher: £45,000 - £80,000 Research Scientist (Machine Learning): £50,000 - £90,000 Data Analyst (AI/ML): £30,000 - £55,000 Senior AI Developer: £60,000 - £100,000 Prerequisites This Deep Learning Neural Network with R does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Deep Learning Neural Network with R was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Single Layer Neural Networks Project - Agriculture (Part - 1) Reviewing Dataset 00:14:00 Creating Dataframes 00:09:00 Generating Output 00:12:00 Section 02: Single Layer Neural Networks Project - Agriculture (Part - 2) Running Neural Network Code 00:11:00 Importing Dataset 00:09:00 Neural Network Plots for Hidden Layer 1 00:08:00 Section 03: Multi-Layer Neural Networks Project - Deaths in wars (Part - 1) Syntax and Commands for MLP 00:11:00 Running the Code 00:08:00 Testing for Dataframes 00:13:00 Predict Results 00:08:00 Section 04: Multi-Layer Neural Networks Project - Deaths in wars (Part - 2) Creating R Folder 00:14:00 Generating Output Plot 00:12:00 Testing and Predicting the Outputs 00:16:00

Artificial neural networks (ANNs) are the most powerful machine learning algorithms available today. They are capable of learning complex relationships in data, and they have been used to achieve state-of-the-art results in a wide variety of fields, including image recognition, natural language processing, and speech recognition. The Future of Machine Learning is Here! This Project on Deep Learning - Artificial Neural Network course will teach you how to build and train ANNs from scratch. You will learn about the different components of an ANN, such as the input layer, hidden layers, and output layer. You will also learn about the different activation functions that can be used in ANNs, and you will see how to optimise ANNs for different tasks. In addition to the theoretical concepts, you will also get experience with ANNs. You will work on a project where you will build an ANN to classify images. You will use the TensorFlow library to build your ANN, and you will see how to train your ANN on a dataset of images. By the end of this Project on Deep Learning - Artificial Neural Network course, you will have a deep understanding of ANNs and how to use them. You will be able to build your own ANNs to solve a variety of problems. You will also be able to use the TensorFlow library to build and train ANNs. So what are you waiting for? Enrol in this course today and start learning about the future of machine learning!   Learning Outcomes: Through this comprehensive course, you should be able to: Understand the fundamental concepts of deep learning and artificial neural networks. Install and configure an artificial neural network framework. Preprocess and structure data for optimal model performance. Encode data effectively for neural network training and predictions. Build and deploy artificial neural networks for real-world applications. Address data imbalance challenges and optimise model accuracy.   Who is this course for? This Project on Deep Learning - Artificial Neural Network course is ideal for: Data scientists and machine learning practitioners seeking to expand their knowledge. Software engineers interested in leveraging deep learning techniques. Students pursuing a career in artificial intelligence and machine learning. Professionals looking to enhance their skills in neural network development. Individuals with a passion for exploring advanced machine learning techniques.   Career Path  Our course will prepare you for a range of careers, including: Deep Learning Engineer: £40,000 - £100,000 per year. Machine Learning Researcher: £45,000 - £120,000 per year. Data Scientist: £50,000 - £110,000 per year. Artificial Intelligence Specialist: £55,000 - £130,000 per year. Software Engineer (specialising in AI): £45,000 - £100,000 per year. Research Scientist (Machine Learning): £50,000 - £120,000 per year. AI Consultant: £60,000 - £150,000 per year. Certification After studying the course materials of the Project on Deep Learning - Artificial Neural Network (ANNs) there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Prerequisites This Project on Deep Learning - Artificial Neural Network (ANNs) does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Project on Deep Learning - Artificial Neural Network (ANNs) was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.   Course Curriculum Section 01: Introduction Introduction of Project 00:03:00 Section 02: ANN Installation Setup Environment for ANN 00:11:00 ANN Installation 00:09:00 Section 03: Data Preprocessing Import Libraries and Data Preprocessing 00:11:00 Data Preprocessing 00:07:00 Data Preprocessing Continue 00:10:00 Section 04: Data Encoding Data Exploration 00:10:00 Encoding 00:07:00 Encoding Continue 00:06:00 Preparation of Dataset for Training 00:04:00 Section 05: Steps to Build ANN Steps to Build ANN Part 1 00:06:00 Steps to Build ANN Part 2 00:06:00 Steps to Build ANN Part 3 00:06:00 Steps to Build ANN Part 4 00:09:00 Section 06: Predictions and Imbalance-Learn Predictions 00:11:00 Predictions Continue 00:08:00 Resampling Data with Imbalance-Learn 00:09:00 Resampling Data with Imbalance-Learn Continue 00:08:00