1337 Scientist courses

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

24 Hours Left! Enrol Now in this Data Analyst Course! Today's world revolves around data. Organisations across all industries increasingly depend on Data Analysts to make crucial business decisions. So, if you want to collect, evaluate, and understand data using various methods and business intelligence tools and further enhance your Data Analyst skills, our comprehensive Data Analyst course is perfect for you. Designed for success, this Data Analyst course covers everything from basics to advanced topics in Data Analyst. Each lesson in this Data Analyst course is crafted for easy understanding, enabling you to become proficient in Data Analyst. Whether you are a beginner or looking to sharpen your existing skills, this Data Analyst is the ideal choice. Learning Outcomes of Data Analyst course: Introduce yourself to the critical concepts of analysing data. Know how to build, change, and format charts. Become well-versed in working with multiple worksheets and workbooks. Master the key aspects of modifying a worksheet. Discover how to work with lists. Understand how to use PivotTables, PivotCharts, Lookup Functions, and Formula Auditing. Explore the process of applying data validation, searching for invalid data and formulas with errors, and working with macros. Find out how to automate workbook functionality, create sparklines, and map data. Why Prefer this Course? Get a Free CPD Accredited Certificate upon completion of Data Analyst Get a free student ID card with Data Analyst Training Get instant access to this Data Analyst course. Learn Data Analyst from anywhere in the world The Data Analyst is affordable and simple to understand The Data Analyst is an entirely online, interactive lesson with voiceover audio Lifetime access to the Data Analyst course materials The Data Analyst comes with 24/7 tutor support Start your Data Analyst Diploma journey straightaway! This Data Analyst's curriculum has been designed by Data Analyst experts with years of Data Analyst experience behind them. The Data Analyst course is extremely dynamic and well-paced to help you understand Data Analyst with ease. You'll discover how to master the Data Analyst skill while exploring relevant and essential topics. *** Course Curriculum *** Here is the curriculum breakdown of this course: Module 01: Modifying a Worksheet Module 02: Working with Lists Module 03: Analysing Data Module 04: Visualizing Data with Charts Module 05: Using Pivot Tables and Pivot Charts Module 06: Working with Multiple Worksheets and Workbooks Module 07: Using Lookup Functions and Formula Auditing Module 08: Automating Workbook Functionality Module 09: Creating Sparklines and Mapping Data Module 10: Forecasting Data Assessment Process After passing the Diploma in Data Analyst exam, you will be able to request a certificate with additional cost that has been endorsed by the Quality Licence Scheme. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Data Analyst Diploma Anyone willing to gain a better understanding. Already working in this field and want to learn more about Data Analyst Requirements Data Analyst Diploma You will not need any prior background or expertise. Career path Career Path: Data Analyst Data Scientist Data Analytics Manager Certificates CPD Accredited Certificate Digital certificate - £10 Diploma in Data Analysis at QLS Level 5 Hard copy certificate - £119 Show off Your New Skills with a Certificate of Completion Endorsed Certificate of Achievement from the Quality Licence Scheme After successfully completing the Diploma in Data Analysis at QLS Level 5, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 119 GBP inside the UK 129 GBP (including postal fees) for international delivery CPD Accredited Certificate Upon finishing the Data Analyst (Data Analytics)course, you need to order to receive a Certificate Accredited by CPD that is accepted all over the UK and also internationally. The pricing schemes are: 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (international delivery)

This is a hands-on comprehensive course for beginners and in just two hours, you will learn the fundamentals of the Hadoop Ecosystem and its three main building blocks. This course will prepare you to start learning more about big data and to implement Hadoop components in Azure Cloud using HDInsight.

Understanding genetics will provide you with the opportunity to enter a wide range of sectors like researching, genetic counselling, plant breeding and more. You can grasp the essentials of genetics from the Genetics Course and open new doors of possibilities. This course will show you the basics of genetics and help you attain the key skills. The Genetics Course is designed to provide you with a detailed understanding of genetics. The course will introduce you to the core concept of genetics. You will learn the principles of genomics. The easy to digest modules will help enrich your knowledge of genetic counselling. From this highly informative course, you will understand how to apply your genetics knowledge. After completing this Genetics Course, you will receive a valuable certificate. This certificate will prove your competence in this area and help you pursue a promising career in the field of genetics. Enrol now! Learning Objectives Grasp the core concepts of genetics Enrich your knowledge of genomics Learn about different genetic disorders Understand the fundamentals of genetic counselling Familiarise yourself with the process of implementing genetic knowledge Who is this Course for? This Genetics Course is ideal for aspiring professionals who wish to gain the relevant skills and knowledge to fast track their careers. It is for those who have little or no knowledge of the principles of genetics or those who are new to the field and want to test their skills and knowledge. There are no entry requirements for this course; however, an eye for detail and a creative mind is essential. Entry Requirement This course is available to all learners of all academic backgrounds. A good understanding of the English language, numeracy and ICT are required to attend this course. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £4.99 and the hard copy for £9.99. Also, you can order both PDF and hardcopy certificates for £12.99. Career path On successful completion of the Genetics Course, learners can progress to a more advanced program from our course list. Career opportunities in this field include freelancing or working in-house, within a range of professional settings, with the opportunity to earn a high salary. Related professions in this industry include: Academic researcher Genetic Counsellors Clinical research associate Clinical scientist, genomics Clinical scientist, immunology Pharmacologist Plant breeder/geneticist Research scientist (life sciences) Course Curriculum Module 01: Fundamental Concepts of Genetics Fundamental Concepts of Genetics 00:10:00 Module 02: Genetics and Genomics Genetics and Genomics 00:09:00 Module 03: Genetic Disorders Genetic Disorders 00:16:00 Module 04: Genetic Counselling Genetic Counselling 00:10:00 Module 05: Application of Genetics Knowledge Application of Genetics Knowledge 00:14:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Level 4 QLS Endorsed Course | CPD Accredited | Audio Visual Training | Free PDF Certificate | Lifetime Access

Get ready for an exceptional online learning experience with the Python, Data Science, Machine Learning, SQL, Cloud computing & Cyber Security bundle! This carefully curated collection of 20 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations. The Python & Data Science package is dynamic, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you're looking to break into a new field or deepen your existing knowledge, the Python, Data Science, Machine Learning, SQL, Cloud computing & Cyber Securitypackage has something for everyone. As part of the Python & Data Science package, you will receive complimentary PDF certificates for all courses in this bundle at no extra cost. Equip yourself with the Python & Data Science bundle to confidently navigate your career path or personal development journey. Enrol today and start your career growth! This Bundle Comprises the Following Python, Data Science, Machine Learning, SQL, Cloud computing & Cyber Security CPD-accredited courses: Course 01: Python Programming: Beginner To Expert Course 02: Data Science & Machine Learning with Python Course 03: Coding with Python 3 Course 04: Introduction to Coding With HTML, CSS, & Javascript Course 05: Python for Spatial Analysis in ArcGIS Course 06: Python Programming Bible | Networking, GUI, Email, XML, CGI Course 07: Business Intelligence and Data Mining Course 08: SQL for Data Science, Data Analytics and Data Visualization Course 09: Python Data Science with Numpy, Pandas and Matplotlib Course 10: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 11: Cyber Security Awareness Training Course 12: Learn Ethical Hacking From A-Z: Beginner To Expert Course 13: Easy to Advanced Data Structures Course 14: R Programming for Data Science Course 15: GDPR UK Training Course 16: Career Development Plan Fundamentals Course 17: CV Writing and Job Searching Course 18: Learn to Level Up Your Leadership Course 19: Networking Skills for Personal Success Course 20: Ace Your Presentations: Public Speaking Masterclass What will make you stand out? Upon completion of this online Python, Data Science, Machine Learning, SQL, Cloud computing & Cyber Security bundle, you will gain the following: CPD QS Accredited Proficiency with this Python & Data Science bundle After successfully completing the Python & Data Science bundle, you will receive a FREE PDF Certificate from REED as evidence of your newly acquired abilities. Lifetime access to the whole collection of learning materials of this Python & Data Science bundle The online test with immediate results You can study and complete the Python & Data Science bundle at your own pace. Study for the Python & Data Science bundle using any internet-connected device, such as a computer, tablet, or mobile device. Each course in this Python, Data Science, Machine Learning, SQL, Cloud computing & Cyber Security bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This Python & Data Science bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Embrace the future of learning with the Python, Data Science, Machine Learning, SQL, Cloud computing & Cyber Security , a rich anthology of 30 diverse courses. Our experts handpick each course in the Python & Data Science bundle to ensure a wide spectrum of learning opportunities. This Python & Data Science bundle will take you on a unique and enriching educational journey. The Python & Data Science bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Python & Data Science bundle offers you the flexibility and convenience to learn at your own pace. Make the Python & Data Science package your trusted companion in your lifelong learning journey. CPD 200 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Python, Data Science, Machine Learning, SQL, Cloud computing & Cyber Security bundle is perfect for: Beginners interested in technology: Individuals with little to no background in tech who are looking to start their careers in various IT domains. Aspiring Data Scientists and Analysts: Those aiming to build foundational and advanced skills in data science and machine learning. Future Software Developers: Individuals interested in learning Python and SQL for software development or database management. IT Security Enthusiasts: People who are keen on entering the field of cyber security and want to understand how to protect data in a digital environment. Cloud Computing Aspirants: Those looking to gain skills in cloud technologies and understand how to manage and deploy applications on the cloud. Requirements You are warmly invited to register for this Python, Data Science, Machine Learning, SQL, Cloud computing & Cyber Security bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment. Career path Upon Python, Data Science, Machine Learning, SQL, Cloud computing & Cyber Security course completion, you can expect to: Python Developer Data Analyst Machine Learning Engineer Database Administrator Cloud Solutions Architect Cyber Security Specialist Data Science Consultant Systems Analyst Network Security Engineer Research Scientist (AI/ML) Certificates 20 CPD Quality Standard Pdf Certificates Digital certificate - Included

Delving into the realm of laboratory safety, 'Preventing Contamination in the Laboratory: Best Practices in Lab Safety' emerges as a pivotal guide for every modern scientist and technician. This meticulous course beckons learners into the intricate world of contamination prevention, arming them with the knowledge to ensure a pristine lab environment. Journey through modules that elucidate vital concepts from an incisive introduction to contamination, to mastering attire and equipment, understanding lab hygiene, mastering sample control, ensuring superior air and water quality, and staving off biological and chemical threats. This programme promises to usher in a new era of lab experts committed to excellence and safety. Learning Outcomes Recognise the fundamentals and sources of laboratory contamination. Determine appropriate protective wear and attire for different lab environments. Implement optimal hygiene and housekeeping protocols within a laboratory. Apply best practices for contamination-free sample handling. Evaluate and maintain superior air and water quality standards in labs. Why buy this Preventing Contamination in the Laboratory: Best Practices in Lab Safety? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Who is this Preventing Contamination in the Laboratory: Best Practices in Lab Safety course for? Individuals keen on establishing or refining lab safety protocols. Science students aspiring for laboratory-based careers. Lab technicians seeking to augment their safety knowledge. Research professionals working in biological or chemical environments. Industry professionals focusing on quality control and assurance Career path Laboratory Technician: £18,000 - £25,000 Quality Control Analyst: £20,000 - £35,000 Laboratory Manager: £30,000 - £50,000 Health and Safety Officer: £25,000 - £40,000 Environmental Health Practitioner: £26,000 - £40,000 Biomedical Scientist: £24,000 - £40,000 Prerequisites This Preventing Contamination in the Laboratory: Best Practices in Lab Safety does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Preventing Contamination in the Laboratory: Best Practices in Lab Safety 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 Module 01: Introduction to Laboratory Contamination Introduction to Laboratory Contamination 00:19:00 Module 02: Personal Protective Equipment (PPE) and Laboratory Attire Personal Protective Equipment (PPE) and Laboratory Attire 00:21:00 Module 03: Laboratory Hygiene and Housekeeping Laboratory Hygiene and Housekeeping 00:22:00 Module 04: Contamination Control in Sample Handling Contamination Control in Sample Handling 00:18:00 Module 05: Air and Water Quality Control Air and Water Quality Control 00:18:00 Module 06: Preventing Biological and Chemical Contamination Preventing Biological and Chemical Contamination 00:25:00

Getting Started The main aim of the OTHM Level 7 Diploma in Data Science is to enhance the knowledge and skills required to extract business-oriented insights from data. This involves comprehending how value and information circulate in a business and utilising this knowledge to recognise potential business prospects.The main aim of the OTHM Level 7 Diploma in Data Science is to enhance the knowledge and skills required to extract business-oriented insights from data. This involves comprehending how value and information circulate in a business and utilising this knowledge to recognise potential business prospects. Key Benefits This qualification will bring you many vital benefits, such as; Learners can gain the essential subject knowledge needed to progress successfully into further study or the world of work. Refreshed content that is closely aligned with employer and higher education needs Develop a comprehensive knowledge of classical data analytics, including statistical inference, predictive modelling, time series analysis and data reduction. Become familiar with and use the tools and techniques used in data visualisation. Assessments that consider cognitive skills along with affective and applied skills Key Highlights Do you wish to be a Data Scientist? Then, The OTHM Level 7 Diploma in Data Science program offered by the School of Business and Technology London is the right solution for you. Remember! The assessment for the qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our OTHM-approved tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways The OTHM Level 7 Diploma in Data Science can open many career pathways including, but not limited to: Data scientist- Est. Salary £59,680 Data Analyst- Est. Salary £42,984 Business Analyst-Est. Salary £54,413   About Awarding Body OTHM is an established and recognised Awarding Organisation (Certification Body) launched in 2003. OTHM has already made a mark in the UK and global online education scenario by creating and maintaining a user-friendly and skill based learning environment. OTHM has both local and international recognition which aids OTHM graduates to enhance their employability skills as well as allowing them to join degree and/or Master top-up programmes. OTHM qualifications has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- Data Science Foundations Reference No : Unit 1 - F/650/5562 Credit : 20 || TQT : 200 Hours This unit introduces various data science concepts, including data administration, governance, and big data sources. UNIT2- Probability and Statistics for Data Analysis Reference No : Unit 2 - H/650/5563 Credit : 20 || TQT : 200 Hours The objective of this unit is to offer a comprehensive introduction to the fundamental principles of probability and statistics, starting from the basics. It will cover a wide spectrum of data analysis procedures and methodologies. UNIT3- Advanced Predictive Modeling Reference No : Unit 3 - J/650/5564 Credit : 20 || TQT : 200 Hours You will become acquainted with key predictive modelling methods and their underlying foundational principles in this unit. UNIT4- Data Analysis and Visualisation Reference No : Unit 4 - K/650/5565 Credit : 20 || TQT : 200 Hours This unit serves as a crucial foundation for grasping the core concepts of the data analysis process, encompassing data collection, data cleansing, data analysis, and the effective communication of insights through visualisations and dashboard tools. UNIT5- Data Mining Machine Learning and Artificial Intelligence Reference No : Unit 5 - J/650/5573 Credit : 20 || TQT : 200 Hours The primary aim of this unit is to provide an introduction to the scientific principles underpinning machine intelligence and to explore the philosophical discourse surrounding the endeavour to simulate human intelligence for addressing real-world challenges. UNIT6- Advanced Computing Research Methods Reference No : Unit 6 - L/650/5566 Credit : 20 || TQT : 200 Hours This unit aims to enhance learners' skills in preparing for diverse forms of academic computing research by guiding them through creating and designing a research proposal. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush.   Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:17:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method.: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00

Prepare for an exciting journey deep into the heart of life itself with our 'Cell Biology, Glycolysis, and Gluconeogenesis Diploma.' Envision yourself as a scientific explorer, delving into the inner workings of every living organism. This course isn't merely a passive experience; it's an active odyssey through the fascinating world of biology's building blocks. From exploring the tiniest cell components to orchestrating the grand symphony of energy production, get ready to be awestruck by the elegance of life's fundamental processes. Learning Outcomes Develop a comprehensive understanding of cell biology, exploring both structure and function. Investigate cell membranes, transport systems, and genetic material, delving into their intricacies. Uncover the mysteries surrounding cellular energy production, including glycolysis and gluconeogenesis. Navigate the fascinating realm of cell division, growth, and communication. Embrace the diversity found within cells and their specialized roles within organisms. Why choose this Cell Biology, Glycolysis and Gluconeogenesis Diploma? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Cell Biology, Glycolysis and Gluconeogenesis Diploma 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. Who is this Cell Biology, Glycolysis and Gluconeogenesis Diploma for? Science enthusiasts who yearn to unlock the secrets of life. Students in the field of biological sciences, looking to deepen their knowledge. Educators who seek to enhance their teaching of cell biology. Healthcare professionals aiming to grasp the intricacies of cellular processes. Anyone intrigued by the unseen world of cells and their vital functions. Career path Research Scientist in Cell Biology: £30,000 - £45,000 Biomedical Scientist: £24,000 - £36,000 Laboratory Technician: £19,000 - £26,000 Biology Teacher: £25,000 - £40,000 Medical Writer specializing in Cell Biology: £28,000 - £45,000 Pharmaceutical Researcher: £27,000 - £42,000 Prerequisites This Cell Biology, Glycolysis and Gluconeogenesis Diploma does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Cell Biology, Glycolysis and Gluconeogenesis Diploma 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 Module 01: Introduction to Cell Biology Introduction to Cell Biology 00:28:00 Module 02: Cell Membrane and Transport Cell Membrane and Transport 00:18:00 Module 03: Cell Nucleus and Genetic Material Cell Nucleus and Genetic Material 00:22:00 Module 04: Cellular Energy Production Cellular Energy Production 00:21:00 Module 05: Cell Cycle and Cell Division Cell Cycle and Cell Division 00:24:00 Module 06: Cell Communication and Signalling Cell Communication and Signalling 00:21:00 Module 07: Cell Diversity and Specialisation Cell Diversity and Specialisation 00:23:00 Module 08: Advanced Topics in Cell Biology Advanced Topics in Cell Biology 00:18:00