47 Inference courses delivered Online

Dive into the world of image segmentation with PyTorch. From tensors to UNet and FPN architectures, grasp the theory behind convolutional neural networks, loss functions, and evaluation metrics. Learn to mold data and tackle real-world projects, equipping developers and data scientists with versatile deep-learning skills.

Highlights of the Course Course Type: Self-Paced Online Learning Accreditation: Pearson Edexcel Qualification: Nationally Recognised Qualification Study Materials: High-Quality E-Learning Study Materials Certificate: Certificate upon passing the official exam Access: 1 Year Access Tutor Support: Paid Tutor Support Customer Support: 24/7 live chat available What you will learn from this course? Upon successful completion of this GCSE Maths Course, you will be able to: Become fluent in your understanding, skills, and knowledge of mathematical concepts and techniques Know how to use mathematical reasoning, inference and deduction, and conclusion-making Possess the capacity to comprehend, interpret, and communicate mathematical knowledge in a variety of context- and content-appropriate ways Know how to apply the skills you acquired from this course in a real-life context Learn how to apply mathematical techniques to address diverse issues GCSE Maths Course - Foundation Tier GCSE Maths Online This GCSE Maths Course is accredited by Pearson Edexcel and regulated by Ofqual, making it a nationally recognised credential that will improve your CV and set you apart from the competition. This comprehensive course will equip you with the knowledge and qualifications you need to demonstrate your grasp of fundamental math theories like algebra, ratio, geometry, probability, statistics, etc. Towards the end of this course, you will gain extensive mathematical skills and expertise to pass the official exam and address potential issues around you. Who is this Course for? The following individuals may benefit from this GCSE Maths Course: University applicants Students who require a grade within grades 1-5 Anyone who finds the higher tier difficult Anyone interested to build a career in STEM Anyone planning to take maths in A-level Anyone trying to increase their chances of landing a job Anyone who desires to develop their mathematical foundations Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Eligibility Requirements This GCSE Maths Course has no academic prerequisites and is open to students from all academic disciplines. Career Path This GCSE Maths Course will provide you with a fresh opportunity to enter the relevant job market and successfully escalate to advanced vocational study. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Assessment Procedure Students must complete a variety of interactive online examinations at the conclusion of each module to evaluate the understanding and skills they are learning in this GCSE Maths Course. These assessments also determine if students can demonstrate these skills effectively. At the end of the module, you can also keep track of your progress and regularly check your score. Upon successfully completing this course, you can schedule your official exam by contacting us at [email protected]. About Official Exam There are three paper-based tests in the Pearson Edexcel GCSE Maths Foundation Tier. Assessment Format of Paper 1 Concepts covered: Number, algebra, ratio, proportion and rates of change, geometry and measures, probability and statistics Exam time: 1 Hour 30 minutes written exam Total marks: 80 Total weight: 33.33% of GCSE Question format: Written examination papers with a range of different question types Other information: No calculator is allowed Assessment Format of Paper 2 Concepts covered: Number, algebra, ratio, proportion and rates of change, geometry and measures, probability and statistics Exam time: 1 Hour 30 minutes written exam Total warks: 80 Total weight: 33.33% of GCSE Question format: Written examination papers with a range of different question types Other information: Calculator is allowed Assessment Format of Paper 3 Concepts covered: Number, algebra, ratio, proportion and rates of change, geometry and measures, probability and statistics Exam time: 1 Hour 30 minutes written exam Total marks: 80 Total weight: 33.33% of GCSE Question format: Written examination papers with a range of different question types Other information: Calculator is allowed This GCSE Maths Course is accredited by Pearson Edexcel and regulated by Ofqual. What is Pearson Edexcel? The academic and general qualification Pearson Edexcel is created to advance and improve learners' skills while advancing knowledge. With the aid of Edexcel certifications, students can advance either into a higher education programme or right into the workforce. They are based on the excellence and traditions of the British educational system and have been made current and simple for both UK and international students to access.  Benefits of Pearson Edexcel They lead the way in digital teaching, learning and assessments This qualification is recognised in the UK and across the world It is valued by employers all over the world Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market What is Ofqual? Qualifications, exams, and assessments are governed in England by Ofqual (The Office of Qualifications and Examinations Regulation). They are in charge of identifying the knowledge, skills, and understanding that students have displayed, and also ensuring that all the assessments and exams reveal what a student has accomplished. Benefits of Ofqual Regulation This regulation is valued internationally Created in accordance with specific national standards Designed in collaboration with industry to guarantee their suitability. Accurately reflect the knowledge, abilities, and understanding that the learners have shown. Candidates who have obtained a qualification that is governed by Ofqual are seen with greater confidence by employers. Course Curriculum Initial Assessment Initial Assessment 01:00:00 Algebra FT Algebra FT 01:00:00 Assessment - Algebra FT 02:14:00 Geometry FT Geometry FT 01:00:00 Assessment - Geometry FT 01:08:00 Number FT Number FT 02:00:00 Assessment - Number FT 02:24:00 Probability FT Probability FT 01:00:00 Assessment - Probability FT 00:50:00 Statistics FT Statistics FT 01:00:00 Assessment - Statistics FT 00:42:00 Feedback Feedback 00:00:00

Dive into the world of numbers and patterns with our 'Statistical Analysis Course,' where data tells stories and predictions shape the future. In the first module, you're introduced to the vast landscape of statistics, a toolset essential for deciphering the tales hidden within data. As you progress, familiarise yourself with the fundamental statistical terminology, paving the way for a deeper grasp of how data clusters around central values. The journey through this course is a blend of theory and application, from mastering the intricacies of data variability to the advanced realms of regression analysis and predictive algorithms. Learning Outcomes Gain a solid understanding of statistics and its significance in various fields. Learn to describe and utilise basic statistical terminology and methods. Comprehend and calculate measures of central tendency and data dispersion. Develop skills in probability, distribution analysis, and statistical inference. Apply statistical methods correctly and appreciate the Bayesian approach for learning from data. Why choose this Statistical Analysis Course? 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 Statistical Analysis Course 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 Statistical Analysis Course for? Aspiring data analysts seeking a foundation in statistics. Business professionals who require analytical skills for data-driven decision-making. Students of the social sciences, economics, or any field involving data interpretation. Researchers needing a robust grasp of statistical analysis methods. Anyone interested in understanding how to utilise data for predictions and analytics. Career path Data Analyst - £25,000 to £40,000 Market Research Analyst - £23,000 to £35,000 Quantitative Analyst - £35,000 to £70,000 Statistical Researcher - £27,000 to £45,000 Business Intelligence Analyst - £30,000 to £55,000 Econometrician - £30,000 to £60,000 Prerequisites This Statistical Analysis Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Statistical Analysis Course 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: The Realm of Statistics The Realm Of Statistics 00:26:00 Module 02: Basic Statistical Terms Basic Statistical Terms 00:41:00 Module 03: The Center of the Data The Center of the Data 00:03:00 Module 04: Data Variability Data Variability 00:15:00 Module 05: Binomial and Normal Distributions Binomial and Normal Distributions 00:14:00 Binomial Probabilities Table 00:00:00 Z-Table 00:00:00 Module 06: Introduction to Probability Introduction to Probability 00:35:00 Module 07: Estimates and Intervals Estimates and Intervals 00:34:00 Module 08: Hypothesis Testing Hypothesis Testing 00:31:00 Module 09: Regression Analysis Regression Analysis 00:11:00 Module 10: Algorithms, Analytics and Predictions Algorithms, Analytics and Prediction 00:47:00 Module 11: Learning From Experience: The Bayesian Way Learning From Experience: The Bayesian Way 00:31:00 Module 12: Doing Statistics: The Wrong Way Doing Statistics: The Wrong Way 00:37:00 Module 13: How We Can Do Statistics Better How We Can Do Statistics Better 00:41:00 Assignment Assignment - Statistical Analysis Course 00:00:00

Highlights of the Course Course Type: Self-Paced Online Learning Accreditation: Pearson Edexcel Qualification: Nationally Recognised Qualification Study Materials: High-Quality E-Learning Study Materials Certificate: Certificate upon passing the official exam Access: 1 Year Access Tutor Support: Paid Tutor Support Customer Support: 24/7 live chat available What you will learn from this course? Upon successful completion of this GCSE Maths Course, you will be able to: Gain advanced understanding, skills, and knowledge of mathematical concepts and techniques Know how to use advanced mathematical reasoning, inference and deduction, and conclusion-making Possess the capacity to comprehend, interpret, and communicate mathematical knowledge in a variety of context- and content-appropriate ways Know how to apply the skills you acquired from this course in a real-life context Learn how to apply complex mathematical techniques to address complicated and diverse set of problems GCSE Maths Online Course | Higher Tier This GCSE Maths Course is accredited by Pearson Edexcel and regulated by Ofqual, making it a nationally recognised credential that will improve your CV and set you apart from the competition. With the knowledge and credentials you'll gain from this extensive course, you'll be able to demonstrate your overall understanding of complex mathematical theories like algebra, ratio, geometry, probability, statistics, etc. Towards the end of this course, you will acquire broad mathematical knowledge and skills necessary to pass the test and deal with any problems in your surroundings. Who is this Course for? The following individuals may benefit from this GCSE Maths Course: University applicants Students who require a grade within grades 4-9 Anyone who wants to get a higher grade Anyone interested to build a career in STEM Anyone planning to take maths in A-level Anyone trying to increase their chances of landing a job Anyone who desires to develop their mathematical foundations Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Eligibility Requirements This GCSE Maths Course has no academic prerequisites and is open to students from all academic disciplines. Career Path This GCSE Maths Course will provide you with a fresh opportunity to enter the relevant job market and successfully escalate to advanced vocational study. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Assessment Procedure Students must complete a variety of interactive online examinations at the conclusion of each module to evaluate the understanding and skills they are learning in this GCSE Maths Course. These assessments also determine if students can demonstrate these skills effectively. At the end of the module, you can also keep track of your progress and regularly check your score. Upon successfully completing this course, you can schedule your official exam by contacting us at [email protected]. About Official Exam There are three paper-based tests in the Pearson Edexcel GCSE Maths Higher Tier. Assessment Format of Paper 1 Concepts covered: Number, algebra, ratio, proportion and rates of change, geometry and measures, probability and statistics Exam time: 1 Hour 30 minutes written exam Total marks: 80 Total weight: 33.33% of GCSE Question format: Written examination papers with a range of different question types Other information: No calculator is allowed Assessment Format of Paper 2 Concepts covered: Number, algebra, ratio, proportion and rates of change, geometry and measures, probability and statistics Exam time: 1 Hour 30 minutes written exam Total warks: 80 Total weight: 33.33% of GCSE Question format: Written examination papers with a range of different question types Other information: Calculator is allowed Assessment Format of Paper 3 Concepts covered: Number, algebra, ratio, proportion and rates of change, geometry and measures, probability and statistics Exam time: 1 Hour 30 minutes written exam Total marks: 80 Total weight: 33.33% of GCSE Question format: Written examination papers with a range of different question types Other information: Calculator is allowed This GCSE Maths Course is accredited by Pearson Edexcel and regulated by Ofqual. What is Pearson Edexcel? The academic and general qualification Pearson Edexcel is created to advance and improve learners' skills while advancing knowledge. With the aid of Edexcel certifications, students can advance either into a higher education programme or right into the workforce. They are based on the excellence and traditions of the British educational system and have been made current and simple for both UK and international students to access.  Benefits of Pearson Edexcel They lead the way in digital teaching, learning and assessments This qualification is recognised in the UK and across the world It is valued by employers all over the world Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market What is Ofqual? Qualifications, exams, and assessments are governed in England by Ofqual (The Office of Qualifications and Examinations Regulation). They are in charge of identifying the knowledge, skills, and understanding that students have displayed, and also ensuring that all the assessments and exams reveal what a student has accomplished. Benefits of Ofqual Regulation This regulation is valued internationally Created in accordance with specific national standards Designed in collaboration with industry to guarantee their suitability. Accurately reflect the knowledge, abilities, and understanding that the learners have shown. Candidates who have obtained a qualification that is governed by Ofqual are seen with greater confidence by employers. Course Curriculum Initial Assessment Initial Assessment 01:00:00 Algebra HT Algebra HT 02:00:00 Assessment - Algebra HT 02:58:00 Geometry HT Geometry HT 02:00:00 Assessment - Geometry HT 00:10:00 Number HT Number HT 02:00:00 Assessment - Number HT 00:10:00 Probability HT Probability HT 02:00:00 Assessment - Probability HT 01:00:00 Statistics HT Statistics HT 02:00:00 Assessment - Statistics HT 00:50:00 Feedback Feedback 00:00:00

The Statistical Analysis Training Course is pivotal in the modern world, offering essential skills that are increasingly demanded across various industries. As businesses and organizations generate vast amounts of data, the ability to analyze and interpret this data becomes crucial. Learning from The Statistical Analysis Training Course equips individuals with expertise in key areas such as probability, hypothesis testing, regression analysis, and predictive analytics, enhancing their employability. In the UK, proficiency gained from this Statistical Analysis Training course can significantly boost job opportunities, with data analysts and statisticians earning an average salary of £35,000 to £50,000 annually. The demand for statistical analysis skills is on the rise, with the sector experiencing a growth rate of 33% over the past five years. Advantages of the Statistical Analysis Training course include a comprehensive understanding of both foundational and advanced statistical concepts, which are integral in roles across finance, healthcare, marketing, and technology. The Statistical Analysis Training Course ensures that learners are well-versed in modern analytical techniques, making them valuable assets in a data-driven economy. As the importance of data analytics continues to grow, so does the value of this training, making it an indispensable tool for career advancement. Key Features: CPD Certified Statistical Analysis Course Free Certificate from Reed CIQ Approved Statistical Analysis Course Developed by Specialist Lifetime Access Course Curriculum: Statistical Analysis Training Module 01: The Realm of Statistics Module 02: Basic Statistical Terms Module 03: The Center of the Data Module 04: Data Variability Module 05: Binomial and Normal Distributions Module 06: Introduction to Probability Module 07: Estimates and Intervals Module 08: Hypothesis Testing Module 09: Regression Analysis Module 10: Algorithms, Analytics and Predictions Module 11: Learning From Experience: The Bayesian Way Module 12: Doing Statistics: The Wrong Way Module 13: How We Can Do Statistics Better Learning Outcomes: Grasp fundamental statistical concepts for data analysis proficiency. Understand measures of central tendency and dispersion in datasets. Apply probability theory to make informed statistical decisions. Utilize hypothesis testing techniques to draw meaningful conclusions. Master regression analysis for predictive modelling and trend identification. Embrace Bayesian methods and enhance statistical inference capabilities. CPD 10 CPD hours / points Accredited by CPD Quality Standards Statistical Analysis Training 4:44:42 1: Module 01: The Realm of Statistics Preview 15:23 2: Module 02: Basic Statistical Terms 27:51 3: Module 03: The Center of the Data 10:00 4: Module 04: Data Variability 21:00 5: Module 05: Binomial and Normal Distributions 21:00 6: Module 06: Introduction to Probability 23:42 7: Module 07: Estimates and Intervals 21:35 8: Module 08: Hypothesis Testing 21:51 9: Module 09: Regression Analysis 21:00 10: Module 10: Algorithms, Analytics and Predictions 31:05 11: Module 11: Learning From Experience: The Bayesian Way 20:08 12: Module 12: Doing Statistics: The Wrong Way 23:39 13: Module 13: How We Can Do Statistics Better 25:28 14: CPD Certificate - Free 01:00 Who is this course for? This Statistical Analysis Training course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Statistical Analysis Training. Moreover, this course is ideal for: Aspiring data analysts seeking statistical foundations for career advancement. Professionals in research roles aiming to refine statistical analysis skills. Students pursuing degrees in mathematics, economics, or related disciplines. Business professionals looking to leverage data-driven insights for strategic decisions. Anyone interested in enhancing statistical literacy and analytical reasoning abilities. Requirements There are no requirements needed to enrol into this Statistical Analysis Training course. We welcome individuals from all backgrounds and levels of experience to enrol into this Statistical Analysis Training course. Career path After finishing this Statistical Analysis Training course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Statistical Analysis Training are: Data Analyst - £30K to £45K/year. Statistician - £35K to £50K/year. Market Research Analyst - £25K to £40K/year. Business Intelligence Analyst - £35K to £55K/year. Healthcare Data Analyst - £30K to £50K/year. Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Duration 4 Days 24 CPD hours This course is intended for This course is intended for: Developers Solutions Architects Data Engineers Anyone with little to no experience with ML and wants to learn about the ML pipeline using Amazon SageMaker Overview In this course, you will learn to: Select and justify the appropriate ML approach for a given business problem Use the ML pipeline to solve a specific business problem Train, evaluate, deploy, and tune an ML model using Amazon SageMaker Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS Apply machine learning to a real-life business problem after the course is complete This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Module 0: Introduction Pre-assessment Module 1: Introduction to Machine Learning and the ML Pipeline Overview of machine learning, including use cases, types of machine learning, and key concepts Overview of the ML pipeline Introduction to course projects and approach Module 2: Introduction to Amazon SageMaker Introduction to Amazon SageMaker Demo: Amazon SageMaker and Jupyter notebooks Hands-on: Amazon SageMaker and Jupyter notebooks Module 3: Problem Formulation Overview of problem formulation and deciding if ML is the right solution Converting a business problem into an ML problem Demo: Amazon SageMaker Ground Truth Hands-on: Amazon SageMaker Ground Truth Practice problem formulation Formulate problems for projects Module 4: Preprocessing Overview of data collection and integration, and techniques for data preprocessing and visualization Practice preprocessing Preprocess project data Class discussion about projects Module 5: Model Training Choosing the right algorithm Formatting and splitting your data for training Loss functions and gradient descent for improving your model Demo: Create a training job in Amazon SageMaker Module 6: Model Evaluation How to evaluate classification models How to evaluate regression models Practice model training and evaluation Train and evaluate project models Initial project presentations Module 7: Feature Engineering and Model Tuning Feature extraction, selection, creation, and transformation Hyperparameter tuning Demo: SageMaker hyperparameter optimization Practice feature engineering and model tuning Apply feature engineering and model tuning to projects Final project presentations Module 8: Deployment How to deploy, inference, and monitor your model on Amazon SageMaker Deploying ML at the edge Demo: Creating an Amazon SageMaker endpoint Post-assessment Course wrap-up Additional course details: Nexus Humans The Machine Learning Pipeline on AWS training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the The Machine Learning Pipeline on AWS course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

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.

Duration 5 Days 30 CPD hours This course is intended for This is a basic-level programming course designed for attendees with prior development experience in another language, such as COBOL, 4GL, Mainframe or other non-object oriented languages. This course is not geared for non-developers. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in core OO coding and Java development skills, coupling the most current, effective techniques with the soundest industry practices. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working within in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand what OO programming is and what the advantages of OO are in today's world Work with objects, classes, and OO implementations Understand the basic concepts of OO such as encapsulation, inheritance, polymorphism, and abstraction Understand not only the fundamentals of the Java language, but also its importance, uses, strengths and weaknesses Understand the basics of the Java language and how it relates to OO programming and the Object Model Work with the Modular system (Project Jigsaw) Understand and use classes, inheritance and polymorphism Understand and use collections, generics, autoboxing, and enumerations Process large amount of data using Lambda expressions and the Stream API Abstract, static and private methods in interfaces Take advantage of the Java tooling that is available with the programming environment being used in the class Java 11 features covered: Using the Local Variable Type in Lambda expressions; Updates made to the String API This course provides hands-on Java 11 training for developers who have little or no prior working knowledge of object-oriented programming languages such as C, COBOL, and 4GL. You will learn the best practices for writing great object-oriented programs in Java 11, using sound development techniques, new improved features for better performance, and new capabilities for addressing rapid application development. Special emphasis is placed on object oriented concepts and best practices. A First Look The Java Platform Using the JDK The Eclipse Paradigm Getting Started with Java Writing a Simple Class Adding Methods to the Class OO Concepts Object-Oriented Programming Inheritance, Abstraction, and Polymorphism Essential Java Programming Language Statements Using Strings Specializing in a Subclass Fields and Variables Using Arrays Local-Variable Type Inference Java Packages and Visibility Object Oriented Development Inheritance and Polymorphism Interfaces and Abstract Classes Introduction to Exception Handling Exceptions Java Developer's Toolboxÿ Utility Classes Java Date/Time Advanced Java Programming Introduction to Generics Lambda Expressions and Functional Interface Working with Collections Collections Using Collections Stream APIÿ Streams Collectors The Java Module System Introduction to the Module System Time Permitting Formatting Strings Introduction to Annotations Java 12 and beyond Additional course details: Nexus Humans Basic Java 11 and OO Programming for Developers New to OO (TT2120-J11) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Basic Java 11 and OO Programming for Developers New to OO (TT2120-J11) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Description: This diploma in C++ and Python programming course is a great way to get started in programming. It covers the study of the C++ and Python group of languages used to build most of the world's object oriented systems. The course is for interested students with a good level of computer literacy who wish to acquire programming skills. It is also ideal for those who wish to move to a developer role or areas such as software engineering. This is a great course to develop your coding skills. It teaches key features of imperative programming using C and is an ideal preliminary to the Object-Oriented Programming using Python. Join the course now! Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment:  At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Module 01 Introduction FREE 00:29:00 Starter Examples 00:33:00 Learning C Concepts 00:13:00 Module 02 Data Types and Inference 00:20:00 Sizeof and IEEE 754 00:33:00 Constants L and R Values 00:11:00 Operators and Precedence 00:25:00 Literals 00:26:00 Module 03 Classes and Structs FREE 00:22:00 Enums 00:14:00 Unions 00:16:00 Introduction to Pointers 00:11:00 Pointers and Array Indexing 00:12:00 Using Const with Pointers 00:09:00 Pointers to String Literals 00:12:00 References 00:14:00 Smart Pointers 00:22:00 Arrays 00:15:00 Standard Library Strings 00:13:00 More Standard Library Strings 00:18:00 Functions 00:06:00 More Functions 00:16:00 Function Pointers 00:15:00 Control Statements 00:18:00 Module 04 Installing Python FREE 00:17:00 Documentation 00:30:00 Command Line 00:17:00 Variables 00:29:00 Simple Python Syntax 00:15:00 Keywords 00:18:00 Import Module 00:17:00 Additional Topics 00:23:00 Module 05 If Elif Else 00:31:00 Iterable 00:10:00 For 00:11:00 Loops 00:20:00 Execute 00:05:00 Exceptions 00:18:00 Data Types 00:24:00 Module 06 Number Types 00:28:00 More Number Types 00:13:00 Strings 00:20:00 More Strings 00:11:00 Files 00:08:00 Lists 00:15:00 Dictionaries 00:04:00 Tuples 00:07:00 Sets 00:09:00 Module 07 Comprehensions 00:10:00 Definitions 00:02:00 Functions 00:06:00 Default Arguments 00:06:00 Doc Strings 00:06:00 Variadic Functions 00:07:00 Factorial 00:07:00 Function Objects 00:07:00 Module 08 Lambda 00:11:00 Generators 00:06:00 Closures 00:10:00 Classes 00:09:00 Object Initialization 00:05:00 Class Static Members 00:07:00 Classic Inheritance 00:10:00 Data Hiding 00:07:00 Mock Exam Mock Exam - Diploma in C++ and Python Programming 00:30:00 Final Exam Final Exam - Diploma in C++ and Python Programming 00:30:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

Duration 2 Days 12 CPD hours This course is intended for This course has been expressly designed for the Business Analyst, Business System Analyst, System Analyst, and/or Requirements Engineer. The Designer, Developer and Tester who are actively involved in utilizing use cases may also benefit from this workshop. Overview Employ use cases to elicit requirements, at a business, system or subsystem levelEmploy use cases to document the scope of a projectWrite use cases in a clear and unambiguous way.Model use cases with workflow diagramsPlan and divide up the project work based on your use casesManage a use case as it evolves over time and goes through many changes This course provides a strong foundation in the mechanics of use case diagramming and writing textual descriptions of use cases. In this highly interactive workshop, you will learn how to enhance and refine your use case skills, how to involve your stakeholders in the use case process, and how to develop use cases that provide valuable information to the designers and testers. Use cases that meet the needs of designers can be too technical and too detailed for other stakeholders. Use cases that satisfy business users are usually not very helpful to designers and testers. How do you satisfy these two disparate interests? And how do you handle the details like business rules, data validations and user interface specifications? Introduction Course objectives Understanding of business analysis Knowledge areas of BABOK© Guide Overview of Use Cases Describe the purpose and value of a use case approach Use case terminology Introducing a use case approach Needs Assessment Purpose of Needs Assessment Needs Assessment and use cases Defining and understanding the strategic goals and objectives Understanding the business process Identifying actors Identifying business information Analyzing locations and operations Drawing the business use case diagram Building the business architecture Defining solution options Defining System Scope Product scope/project scope System actors versus business actors Analyzing the business process model Analyzing business use cases Identifying candidate use cases Identifying scenarios Diagramming use cases Draw a use case diagram Create a use case catalog Evaluating, Prioritizing, and Packaging Use Cases Iterative nature of this work Evaluating use cases Use case priority Use case risk Use case complexity Use case dependencies Evaluate and Prioritize use cases Dividing work up between releases Packaging A process for how to perform packaging Writing the Main Success Scenario Use case descriptions Primary and secondary goals Assumptions Pre-conditions Triggers Post-conditions Scenario example Main success scenario Conditional execution Use cases and requirements Best practices for writing a use case description Writing the Other Scenarios Scenarios and flows Alternate scenarios and flows Alternate vs. basic flow Guidelines for alternate flows Exception flows Failed post conditions Write alternate and exception flows Process Modeling to Describe Use Case Flows UML© Activity Diagram Notation Sequencing activities Developing an activity diagram Facilitated sessions Draw a UML© Activity Diagram Using Advanced Diagramming Techniques Commonality Dependency Relationships Identify relationships Comparing the different relationships Developing a Requirements Specification Requirements and use cases Detailed requirements Common approaches to specifications Non-functional requirements Write non-functional requirements User interface requirements UI data descriptions Business rules Decision tables and inference rules How to document simple calculations Reporting requirements Data requirements Data accessibility requirements Traceability Course Summary Wrap-up Finding more information Additional course details: Nexus Humans BA28 - Requirements Analysis and Use Cases training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the BA28 - Requirements Analysis and Use Cases course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.