5245 Writing courses in Shildon delivered Online

Ask yourself, how many times do you carry work over to the next day, or take work home? By doing things in a different order, planning effectively and become more efficient in dealing with daily tasks you can reduce stress and free up time for personal development and 'breathing space'. If you want Master Daily Planning and give yourself space to breathe and develop, join this Daily Planning: Strategies For Ultimate Success to get a flying through your day. Through the course, you will understand the importance and benefits of daily planning, how to tackle your time pirates. You will be able to undertake a gap analysis between current and desired planning state, You will learn strategies for dealing with meetings, how to deal with telephones, interruptions, and paper, understand the role of the to-do list, and more. Become more effective and efficient, do more in less time, reduce stress, free up time for development and be a super planner. What you'll learn understand the importance and benefits of daily planning download and use a 2-week challenge template undertake a gap analysis between current and desired planning state identify your time pirates understand how to tackle your time pirates appreciate why you put things off and the result learn strategies for dealing with meetings know how to deal with telephones, interruptions and paper learn the skills to achieve a 'zero inbox' understand the role of the to-do list choose how to tackle tasks when your time is the most 'valuable' know how to say 'no' and 'yes' undertake a critical reflective learning exercise Requirements you will need some way of writing down your observations/answers e.g. notebook or electronic device Introduction & getting started An Introduction to Daily Planning FREE 00:04:00 The 2 week challenge - video 00:02:00 Let's set the scene Mind the gap! 00:03:00 Thieves & Pirates A short introduction to this section 00:02:00 Managing time pirates 00:05:00 Do I procrastinate? ..... I'll have to think about that! Why Is Big Data Important? FREE 01:00:00 Let's tackle it NOW! 00:03:00 Not another meeting?! Marvellous Meetings 00:03:00 Interruptions, interruptions, interruptions ring, ring' 'do you have a minute' & the FAT attack 00:03:00 The holy grail The 'zero inbox' 00:05:00 PPPPP PPPPP introduction 00:03:00 Step by Step 00:03:00 The to-do-list To-Do-Lists 00:02:00 Prime & down time Prime & down time 00:02:00 Daily planning chart What a plan looks like and what goes where 00:02:00 Yes or No? just say 'no'! 00:04:00 'yes' 00:01:00 An action plan for success A 10 step plan for fulproof success 00:03:00 A daily planning visual metaphor - you don't want to skip this! I can't fit everything in....or can I 00:02:00 Summary Course Summary 00:02:00 Bonus Lecture Bonus Lecture 00:01:00 Course Certification

Explore the ways of creating a perfect marketing plan with the Complete Content Marketing course. There are various ways of marketing such as paid ads, free ads, banner, solo social media, SEO, blog writing, and more. The course covers the mandatory areas that you need to focus on succeeding in online business. These techniques are universal and applicable for anyone from affiliate program to sell your own product. Throughout the course, you will learn how to word your sales video and know how to create sales funnel and scripts. The techniques of communicating your audience with email, building a value ladder and creating first autoresponder and scripts will be discussed in the course. Shortly, the course guides you to sell your product online and helps you to create contents and be a successful affiliate marketer. You can say that the course provides a complete guide for your content marketing. What you'll learn You'll know how to create a marketing plan You'll know how to create a sales funnel + scripts You'll know how to word your sales videos You'll know how to communicate via email You'll know how to create your first autoresponder + scripts You'll know how to build a value ladder You'll know how to be successful online as an affiliate You'll know how to sell your own product online You'll know how to create content in just 5-10 minutes each day You'll know how to garner more traffic with less work - leverage your time! Requirements You should know how to use a PC at a beginner level Introduction Introduction FREE 00:01:00 Overview 00:20:00 Traffic Secrets 00:16:00 Email Mastery Why Email Everyday 00:03:00 100 Clicks a Day 00:09:00 Email Sequence Explanation 00:01:00 Soap Opera Sequence 00:13:00 Seinfeld Email Sequence 00:11:00 Value Ladder Overview 00:07:00 The Attractive Character Overview 00:10:00 Attractive Character II 00:18:00 The Value Ladder Breakdown Bait Overview 00:19:00 Result 00:04:00 Your Dream Client 00:02:00 Mindset Changes 00:04:00 What is a Squeeze 00:05:00 Squeeze Page Secrets 00:08:00 TYP Overview 00:03:00 Front-End Overview 00:12:00 WWWH Script 00:04:00 Star Story Solution Script 00:17:00 OTO Script 00:09:00 Continuity Overview 00:06:00 Magic Bullet Script 00:02:00 Mid Ticket Overview 00:09:00 Perfect Webinar Funnel Walkthrough 00:03:00 Perfect Webinar Script 00:15:00 Creating Content To Dos of Creating Content 00:15:00 Make Your Own Products or Affiliate 00:02:00 Affiliate Value Ladder Buildout 00:10:00 Your Value Ladder Buildout 00:20:00 Content Marketing Secrets The Big Outline for Content Creation 00:10:00 Expert Positioning 00:18:00 Optimize an Article 00:20:00 Course Certification

24-Hour Knowledge Knockdown! Prices Reduced Like Never Before The United Kingdom boasts a rich and diverse history, with military campaigns and events that have shaped the course of global affairs. According to recent statistics, over 15,000 people are employed in the heritage sector in the UK, highlighting the significance of preserving and understanding our past. Are you captivated by the tales of bygone eras? This comprehensive bundle on Military History offers a unique opportunity to explore the depths of historical events, cultures, and civilisations. You will gain insights into military history, tracing the evolution of warfare, strategies, and tactics across various eras. Additionally, the bundle covers the intriguing fields of medieval history, Egyptology, archaeology, and forensic anthropology. This Diploma in Military History at QLS Level 4 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 120 CPD points) to make your skill development & career progression more accessible than ever! Our Bundle contains 5 of our premium courses for one discounted price: Course 01: Military History Course 02: Medieval History Course 03: Egyptology Course 04: Archaeology Course 05: Forensic Anthropology With a solid foundation in military history, medieval studies, Egyptology, archaeology, and forensic anthropology, you'll be well-equipped to pursue a rewarding career in academia, museums, heritage organisations, or related industries. Invest in your future and unlock a world of opportunities where you can contribute to the preservation and exploration of our rich cultural heritage. Enrol now! Learning Outcomes of Military History Develop a comprehensive understanding of military history and its global implications. Gain insights into medieval history and its cultural significance. Learn about the ancient Egyptian civilization through the study of Egyptology. Understand archaeological methods and techniques for excavation and artifact analysis. Acquire knowledge of forensic anthropology and its role in historical investigations. Enhance critical thinking and analytical skills in historical research. Why Choose Us? Get a Free CPD Accredited Certificate upon completion of Military History Get a free student ID card with Military History Training program (£10 postal charge will be applicable for international delivery) The Military History is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Get Lifetime access to the Military History course materials The Military History comes with 24/7 tutor support Take a step toward a brighter future! *** Course Curriculum *** Course 01: Military History Module 1: Introduction to Military History Module 2: Theories of Warfare Module 3: Military Weaponry and Aviation Module 4: Naval Warfare Module 5: Ground Warfare and Military Technology Module 6: The World Wars Module 7: The British Military History Module 8: Leadership and Command in War Course 02: Medieval History Module 01: Timeline Of The Middle Ages Module 02: The Kings And The Vikings Module 03: Byzantine Empire: Survival, Revival And Collapse Module 04: The Christian World Module 05: Heresy To Christianity Module 06: The Islamic World Module 07: Medieval Life And Means Of Living Module 08: Women In The Medieval Era Module 09: Literature Module 10: Art And Architecture Module 11: Magic And Science Module 12: Military And Warfare Module 13: The Emergence Of State Power Module 14: Mediaeval Calamities: The Great Famine And The Black Death Course 03: Egyptology Module 01: Introduction To Egyptology Module 02: The Dynasties Of Ancient Egypt Module 03: Gods And Goddesses Module 04: Art Of Ancient Egyptian Module 05: Architecture Of Ancient Egypt Module 06: Pharaoh, Government And Society Module 07: Living In Ancient Egypt Module 08: Language, Writing And Numeral System Module 09: Trade And Military Force Of Ancient Egypt =========>>>>> And 2 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*5 = £65) CPD Hard Copy Certificate: £29.99 CPD 50 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: History buffs Military enthusiasts Future archaeologists Aspiring forensic scientists Anyone curious about war Requirements You will not need any prior background or expertise to enrol in this bundle. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Museum curator History teacher Archaeologist Forensic scientist Military analyst Researcher Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. CPD Accredited Hard Copy Certificate Hard copy certificate - £29.99 Please note that International students have to pay an additional £10 as a shipment fee. Diploma in Military History at QLS Level 4 Hard copy certificate - £99 Please note that International students have to pay an additional £10 as a shipment fee.

Course Overview Learn the Latest Skills | Accredited by CPD | MCQ Based Exam & Tutor Support | Interactive Video Training  The Advanced Diploma in Office Administration is intended for ambitious individuals who are interested in either starting a new career or developing their current administrative position. This course is ideal for you if you’re looking to advance in your job. People will learn how to use the appropriate administrative tools, procedures, and instructions. Additionally, you will learn how to manage an office, comprehend bookkeeping and payroll, and write reports and letters. What Will You Learn? Learn the basic computer software you need to know to perform at your best on a daily basis Learn organisational, time management and meeting management skills Learn the basic principles of business writing Enrich your expertise in MS Word, PowerPoint, and Excel Learn to keep the books in order and proper telephone etiquette What classes are included in this package? Earn a digital certificate upon successful completion There are no set schedules, so you can work at your own pace. Our email and live chat specialists are available to assist you 24 hours a day, 7 days a week. On weekdays, you’ll have access to a full-time tutor. Learn in a user-friendly, cutting-edge online learning environment. High-quality e-learning study materials Benefit from instant feedback through mock exams and multiple-choice assessments Who Should Take This Course? This course is ideal for those who want to work in administrative support roles in public or private sector organisations or those who wish to improve their managerial and supervisory skills. Career Path Training offered by the Advanced Diploma In Office Administration could potentially benefit a range of roles, but would particularly enhance careers in: Administrator Support Staff Personal Assistant Receptionist Office Administrator Secretary HR Personnel Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessments Assignment Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £99. Please note that overseas students may be charged an additional £10 for postage. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment On successful completion of the Advanced Diploma in Office Administration, you will be required to sit an online multiple-choice assessment. You will need to score 60% or above to pass the course. After successfully passing the exam, you will be able to apply for Quality Licence Scheme endorsed certificate of achievement. The assessment will be evaluated automatically and the results will be given to you immediately. Retake fee If you do not pass the exam first time, you can purchase the Retake Exam for £1.99 and try again. Course Contents Module 01: Introduction to Office Administration Module 02: Skills of an Effective Administrator Module 03: Business Writing Skills Module 04: Communication Skills Module 05: Meeting Management Module 06: Organisational Skills Module 07: Telephone Etiquette Module 08: Negotiation Techniques Module 09: Conflict Management Module 10: Stress Management Module 11: Time Management

Dealing with a difficult or toxic personality can be emotionally and physically damaging, especially if the person is your boss or sits in the cubicle next to you. Many people find it difficult to confront those who compromise their comfort and job security, but standing up for yourself is important. This Dealing With Difficult People Training course provides learners with a thorough understanding of how to identify difficult personality types and effectively deal with them and provide the skills required for Dealing With Difficult People Training. By the end of the Dealing With Difficult People Training course, you will be able to deal with aggressive, manipulative, undermining, prejudiced, or otherwise difficult people. Learning Outcomes After completing this Dealing With Difficult People Training course, the learner will be able to: Identify difficult people and their difficult behaviour. Know how to communicate with difficult people. Know how to deal with bosses who drive you barmy. Recognise seven classically difficult types. Know how to deal with impossible people. Identify the temper tantrum type. Why Choose Dealing With Difficult People Training Course from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. Dealing With Difficult People Training Course developed by industry experts. MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing the Dealing With Difficult People Training course. ***Dealing With Dealing With Difficult People Training Bundle Course Course 01: Dealing With Difficult People Training Course 02: Level 7 Diploma in Operations Management Course 03: Level 5 Health and Safety at Work Course 04: Level 5 Diploma in Risk Management Course Course 05: Level 5 Report Writing Course Course 06: Communication Skills Course Course 07: Workplace Stress Management Course 08: Anger Management ***Other Benefits of Dealing With Difficult People Training Training Bundle Course Free 8 PDF Certificate Lifetime Access Free Retake Exam Tutor Support [ Note: Free PDF certificate as soon as completing the Dealing With Difficult People Training course ] Course Curriculum Of Dealing With Difficult People Module 01: Difficult People and Their Difficult Behaviour Module 02: Communicating With Difficult People Module 03: Standing Up to Difficult People Module 04: A Quick Guide to the Seven Classically Difficult Types Module 05: Dealing with Bosses Who Drive You Barmy Module 06: Colleagues to Throttle Module 07: Dealing With Impossible People Module 08: The Temper Tantrum Type >>----------------<< Assessment Method After completing each module of the Dealing With Difficult People Training Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification After completing the MCQ/Assignment assessment for this Dealing With Difficult People Training course, you will be entitled to a Certificate of Completion from Training Tale. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? This Dealing With Difficult People Training course is ideal for executives, managers, supervisors, team leaders, project managers, and anyone else who has been affected by negativity in the workplace caused by a difficult person. Requirements There are no specific requirements for this Dealing With Difficult People Training course because it does not require any advanced knowledge or skills. Career path The Dealing With Difficult People course is meant to prepare you for the job of your dreams, an advancement at work, or to become self-employed and establish your own business. Certificates Certificate of completion Digital certificate - Included

Overview of Strategies for Teaching Students with Learning Disabilities Course A little care and support in the classroom can help children with learning disabilities live healthy and prosperous lives. This course will explore the successful strategies for teaching children with learning difficulties in inclusive classrooms.  Our Strategies for Teaching Students with Learning Disabilities Course will give you an overall understanding of the characteristics, types and effects of learning disabilities. Moving forward, you'll understand what IEP is and explore the several core steps in creating an effective IEP. Then, you'll discover the best practices for creating a supportive and inclusive classroom environment. The course also covers the teaching strategies for reading problems, math difficulties and writing expression. Finally, you'll understand how to teach social skills and promote positive behaviour in the classroom. Course Preview Learning Outcomes Find a comprehensive guide to teaching children with learning difficulties Identify the IEP goals for special education students Understand how to modify lessons for students with learning difficulties Learn how to help children learn and understand mathematics Explore the techniques to improve reading skills in children with learning disabilities Discover the strategies for a behaviour intervention plan Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Meticulously crafted engaging and informative tutorial videos and materials Efficient exam systems for the assessment and instant result Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email Who Should Take this Strategies for Teaching Students with Learning Disabilities Course? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This Strategies for Teaching Students with Learning Disabilities Course is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. Certificate of Achievement After completing this course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates & Transcripts can be obtained either in Hardcopy at £14.99 or in PDF format at £11.99. Career Path​ Strategies for Teaching Students with Learning Disabilities Course provides essential skills that will make you more effective in your role. It would be beneficial for any related profession in the industry, such as: Special Education Teacher Learning Support Assistant Behaviour Analyst School Counsellor Educational Consultant Special Education Coordinator Module 1: Introduction to Learning Disabilities Introduction to Learning Disabilities 00:15:00 Module 2: Types of Learning Disabilities Types of Learning Disabilities 00:21:00 Module 3: Understanding Individualised Education Plans (IEPs) Understanding Individualised Education Plans (IEPs) 00:15:00 Module 4: Classroom Adaptations for Students with Learning Disabilities Classroom Adaptations for Students with Learning Disabilities 00:18:00 Module 5: Teaching Strategies for Reading Difficulties Teaching Strategies for Reading Difficulties 00:17:00 Module 6: Teaching Strategies for Written Expression Teaching Strategies for Written Expression 00:15:00 Module 7: Teaching Strategies for Math Difficulties Teaching Strategies for Math Difficulties 00:19:00 Module 8: Behaviour Management and Social Skills for Students Behaviour Management and Social Skills for Students 00:15:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. 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 qualified 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 Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills 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- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. 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.

This course is perfect for quality assurance professionals who want to step into automation testing with Cypress. You will learn Cypress from scratch and become a specialist in building a solid Cypress automation framework to test any real-world web application.

Level-4 QLS Endorsed | 30 in 1 Diploma Bundle | +Gifts: 30 Free CPD PDF Certificate | Lifetime Access

Duration 4 Days 24 CPD hours This course is intended for This course is best suited to developers, engineers, and architects who want to use use Hadoop and related tools to solve real-world problems. Overview Skills learned in this course include:Creating a data set with Kite SDKDeveloping custom Flume components for data ingestionManaging a multi-stage workflow with OozieAnalyzing data with CrunchWriting user-defined functions for Hive and ImpalaWriting user-defined functions for Hive and ImpalaIndexing data with Cloudera Search Cloudera University?s four-day course for designing and building Big Data applications prepares you to analyze and solve real-world problems using Apache Hadoop and associated tools in the enterprise data hub (EDH). IntroductionApplication Architecture Scenario Explanation Understanding the Development Environment Identifying and Collecting Input Data Selecting Tools for Data Processing and Analysis Presenting Results to the Use Defining & Using Datasets Metadata Management What is Apache Avro? Avro Schemas Avro Schema Evolution Selecting a File Format Performance Considerations Using the Kite SDK Data Module What is the Kite SDK? Fundamental Data Module Concepts Creating New Data Sets Using the Kite SDK Loading, Accessing, and Deleting a Data Set Importing Relational Data with Apache Sqoop What is Apache Sqoop? Basic Imports Limiting Results Improving Sqoop?s Performance Sqoop 2 Capturing Data with Apache Flume What is Apache Flume? Basic Flume Architecture Flume Sources Flume Sinks Flume Configuration Logging Application Events to Hadoop Developing Custom Flume Components Flume Data Flow and Common Extension Points Custom Flume Sources Developing a Flume Pollable Source Developing a Flume Event-Driven Source Custom Flume Interceptors Developing a Header-Modifying Flume Interceptor Developing a Filtering Flume Interceptor Writing Avro Objects with a Custom Flume Interceptor Managing Workflows with Apache Oozie The Need for Workflow Management What is Apache Oozie? Defining an Oozie Workflow Validation, Packaging, and Deployment Running and Tracking Workflows Using the CLI Hue UI for Oozie Processing Data Pipelines with Apache Crunch What is Apache Crunch? Understanding the Crunch Pipeline Comparing Crunch to Java MapReduce Working with Crunch Projects Reading and Writing Data in Crunch Data Collection API Functions Utility Classes in the Crunch API Working with Tables in Apache Hive What is Apache Hive? Accessing Hive Basic Query Syntax Creating and Populating Hive Tables How Hive Reads Data Using the RegexSerDe in Hive Developing User-Defined Functions What are User-Defined Functions? Implementing a User-Defined Function Deploying Custom Libraries in Hive Registering a User-Defined Function in Hive Executing Interactive Queries with Impala What is Impala? Comparing Hive to Impala Running Queries in Impala Support for User-Defined Functions Data and Metadata Management Understanding Cloudera Search What is Cloudera Search? Search Architecture Supported Document Formats Indexing Data with Cloudera Search Collection and Schema Management Morphlines Indexing Data in Batch Mode Indexing Data in Near Real Time Presenting Results to Users Solr Query Syntax Building a Search UI with Hue Accessing Impala through JDBC Powering a Custom Web Application with Impala and Search