1185 Summary courses delivered On Demand

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.

Useful Ways to improve your Makeup skills Do you want propel your makeup and nail technician skills to whole new level? Are you the next big Makeup artist? You can be! This course will show you how. A make-up artist ensures that models, performers and presenters have suitable make-up and hairstyles before they appear in front of cameras or an audience. The work involves creating images and characters through the medium of make-up, hairstyles and prosthetics according to a brief. Whereas a nail technician is a health and beauty professional who works to improve and decorate a customer's nails. The purpose of this job is very close to the definition given in the summary. It is a cosmetic position, in that a nail technician will work to improve the look of their clients' nails, as well as looking after the health of the nails themselves. Learn the new techniques involving Makeup skills as well how to properly take care of your nails through this course. With this course you will have no problem looking as fabulous as you want to be. Course Highlights Makeup and Nail Technician Advanced Diploma is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Makeup and Nail Technician Advanced Diploma into 24 modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 19 hours, 45 minutes and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Makeup and Nail Technician Advanced Diploma Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Makeup and Nail Technician Advanced Diploma is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Makeup and Nail Technician Advanced Diploma is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Cosmetics and Makeup What is a Cosmetic? FREE 00:15:00 Cosmetics - From Tradition to Modernity FREE 00:15:00 Equipment - Makeup Kits 01:00:00 Skin 01:00:00 Face 01:00:00 Lips 00:15:00 Eyes 01:00:00 Ten-Step Guide to Perfect Makeup 00:30:00 Special Makeup Applications 01:00:00 Essential Equipment for the Professional 00:30:00 Advanced Makeup Applications 00:30:00 Skin Care Introduction FREE 00:15:00 The Great Skin Basics You Should Know FREE 01:00:00 Choosing The Most Suitable Facial Care Products For Your Skin Type 01:00:00 What You Need To Know About Moisturizing Your Face 01:00:00 About Exfoliation 01:00:00 The Importance of Water and Rest For Your Skin Care 01:00:00 The Importance of Your Diet for Your Skin Care 01:00:00 Nail Designing & Manicure French Manicures 00:30:00 Manicure Stations 00:30:00 Manicure Tables 01:00:00 Manicures 01:00:00 Products and Supplies for Nail Manicures 00:30:00 Amber Manicure Heater 00:30:00 Handy Tips for French Manicures 00:30:00 How to Give a Manicure 01:00:00 Images and the manicure 00:30:00 Inexpensive Manicure Sets 01:00:00 Manicure Procedure 00:30:00 Manicure Sets- Why they are Handy 01:00:00 Mock Exam Mock Exam- Makeup and Nail Technician Advanced Diploma 00:30:00 Final Exam Final Exam- Makeup and Nail Technician Advanced Diploma 00:30:00

Boost Your Career with Apex Learning and Get Noticed By Recruiters in this Hiring Season! Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now Give a compliment to your career and take it to the next level. This Know Your Customer (KYC) will provide you with the essential knowledge and skills required to shine in your professional career. Whether you want to develop skills for your next job or want to elevate skills for your next promotion, this Know Your Customer (KYC) will help you keep ahead of the pack. The Know Your Customer (KYC) incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can reinforce your professional skills and essential knowledge, reaching out to the level of expertise required for your position. Further, this coursewill add extra value to your resume to stand out to potential employers. Throughout the programme, it stresses how to improve your competency as a person in your profession while at the same time it outlines essential career insights in this job sector. Consequently, you'll strengthen your knowledge and skills; on the other hand, see a clearer picture of your career growth in future. By the end of the Know Your Customer (KYC), you can equip yourself with the essentials to keep you afloat into the competition. Along with this Know Your Customer (KYC) course, you will get 10 other premium courses. Also, you will get an original Hardcopy and PDF certificate for the title course and a student ID card absolutely free. What other courses are included with this Know Your Customer (KYC)? Course 01: Know Your Customer (KYC) Course 02: Sales: Psychology of Customers Course 03: Customer Relationship Management Course 04: Phone-Based Customer Service Course 05: Retail Management - Level 5 Course 06: GCSE English Course 07: Public Speaking and Presentation Skill Course Course 08: The Formula to Talk with Strangers Course 09: Level 2 Microsoft Office Essentials Course 10: Time Management Course 11: Stress Management Training So, enrol now to advance your career! Benefits you'll get choosing Apex Learning for this Know Your Customer (KYC): One payment, but lifetime access to 11 CPD courses Certificate, student ID for the title course included in a one-time fee Full tutor support available from Monday to Friday Free up your time - don't waste time and money travelling for classes Accessible, informative modules taught by expert instructors Learn at your ease - anytime, from anywhere Study the course from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills Gain valuable and in-demand skills without leaving your home. How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously it was £10 * 11 = £110) Hard Copy Certificate: Free (For The Title Course) If you want to get hardcopy certificates for other courses, generally you have to pay £20 for each. But this Fall, Apex Learning is offering a Flat 50% discount on hard copy certificates, and you can get each for just £10! P.S. The delivery charge inside the U.K. is £3.99 and the international students have to pay £9.99. Curriculum of Know Your Customer (KYC) Bundle Course 01: Know Your Customer (KYC) Module 01: Introduction to KYC Module 02: Customer Due Diligence Module 03: AML (Anti-Money Laundering) Module 04: KYC, AML, and Data Privacy Regulations for Businesses Operations in the United Kingdom Module 05: Regulations to be Complied by Industries Module 06: Methods for carrying out KYC and AML and the Future of KYC Compliance Course 02: Sales: Psychology of Customers Introduction Introducing A.S.K - concentrating on 'A' for ATTRACT. Section 3 The 'S' of A.S.K. - SERVING Section 4 The K of A.S.K Section 5 ...And lastly... Course 03: Customer Relationship Management Module 01: Introduction to Customer Relationship Management (CRM) Module 02: CRM Fundamentals Module 03: CRM Strategies CRM Strategies Module 04: Data Analysis in CRM Module 05: CRM Databases Module 06: Deepening Customer Relationship Module 07: Handling Customer Complaints Module 08: Future of CRM Course 04: Phone-Based Customer Service Module 1: Introduction to Customer Service Module 2: What's Different about Good Customer Service? Module 3: Customer Relationship Management Module 4: Customer Service Communication Strategies Module 5: Aspects of Phone Etiquette Module 6: Building Rapport Over the Phone Module 7: Inbound and Outbound Calls Module 8: Active Listening and Managing Tough Callers Module 9: Managing Interoffice Calls and Voicemail Module 10: Problem Solving over the Phone Module 11: Intra Organisation Dealings Module 12: Measuring Customer Service Course 05: Retail Customer Service Training Module 01: Who We Are and What We Do Module 02: The Sales Process and Dealing with Customers at the Checkout Module 03: Importance of Consumer Behaviour Module 04: Taking Trends and Targeting Customers Effectively Module 05: The Importance of Communicating with Customers Module 06: Identifying and Addressing Customer Needs Module 07: Generating Return Business Module 08: In-Person Customer Service Module 09: Giving Customer Service over the Phone Module 10: Providing Electronic Customer Service Module 11: Recovering Difficult Customers Module 12: Understanding When to Escalate Course 06: GCSE English Module 01: Introduction to GCSE English Module 02: Edexcel English Section A Part 01 Module 03: Edexcel English Section A Part 02 Module 04: Edexcel English Section B Module 05: Edexcel English Section C and many more... Course 07: Public Speaking and Presentation Skill Course Introduction QUICK UNLEARNING Before Starting this "SKILL" IS THIS HAPPENED WITH YOU???? Impressive Methods of Hooking Audience, even before your Speech or Presentation 6 Highly Impressive Methods of Starting any Speech or Presentation!! Body Language: 6 Methods for Impressive Body Language for Speech or Presentation Vocal Variety: 3 Methods (VST) for POWERFUL Vocal Variety Effective Methods of Ending Any Speech or Presentation Bonus Course 08: The Formula to Talk with Strangers Section 01: Course Overview Section 02: The Formula Section 03: Summary Section 04: End Course 09: Level 2 Microsoft Office Essentials ***Excel 2016*** Getting Started with Microsoft Office Excel 2016 Performing Calculations Modifying a Worksheet Formatting a Worksheet Printing Workbooks Managing Workbooks ***Word 2016*** Getting Started with Word Formatting Text and Paragraphs Working More Efficiently Managing Lists Adding Tables Inserting Graphic Objects Controlling Page Appearance Preparing to Publish a Document Workbooks - Microsoft Word 2016 (Beginner) ***PowerPoint 2016*** PowerPoint Interface Presentation Basics Formatting Inserting Options Working with Objects Table Charts Review and Presentatin ***Access 2016*** Introduction to Access Modify Data Working with Queries Access Forms Working with Reports Course 10: Time Management Identifying Goals Effective Energy Distribution Working with Your Personal Style Building Your Toolbox Establishing Your Action Plan Course 11: Stress Management Training Beginning Concepts Specific Stress Management Techniques MORE Stress Reduction Strategies Still MORE Stress Reduction Techniques - Part 1 Still MORE Stress Reduction Techniques - Part 2 Still MORE Stress Reduction Techniques - Part 3 BONUS Video & Wrap Up! Special LIVE Bonus Video! CPD 115 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Know Your Customer (KYC) bundle. Persons with similar professions can also refresh or strengthen their skills by enrolling in this course. Students can take this course to gather professional knowledge besides their study or for the future. Requirements Our Know Your Customer (KYC) is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various CPD certificate will increase the value in your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

Highlights of the Course Course Type: Online Learning Duration: 2 Hours Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about nutritional therapy Understand the core competencies and principles of nutritional therapy Explore the various areas of nutritional therapy Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert nutritionist Nutritional Therapist Course Master the skills you need to propel your career forward in nutritional therapy. This course will equip you with the essential knowledge and skillset that will make you a confident nutritionist and take your career to the next level. This comprehensive nutritional therapist course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this nutritional therapist course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective nutritional therapy practice and equip you with the essential skills, confidence and competence to assist you in the nutritional therapy industry. You'll gain a solid understanding of the core competencies required to drive a successful career in nutritional therapy. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for nutritionist or for people who are aspiring to specialise in nutritional therapy. Enrol in this nutritional therapist course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive nutritional therapist course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this nutritional therapy can also take this course. 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. Entry Requirements This nutritional therapist course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This nutritional therapist course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This nutritional therapist course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. 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. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Why Individuals React Differently to Food Introduction 00:05:00 Lesson 2 Nutritional Genomics 00:06:00 Lesson 3: Changing Gene Expression - Switching Genes on and off 00:06:00 Lesson 4: Free Radicals and DNA Damage 00:04:00 Practical Steps for Using Nutrition as Therapy Lesson 5: Fight Free Radicals with Antioxidants 00:04:00 Lesson 6: Nature's Pharmacy - Phytonutrients and Phytochemicals 00:08:00 Lesson 7: Fiber the Antioxidant Transporter & More 00:04:00 Lesson 8: Omega 3 the Protector vs the Destroyers 00:03:00 Lesson 9: Diets for Longevity - The Blue Zones 00:04:00 The Specifics of Powerful Nutrient Rick Foods Lesson 10: Benefits in 30+ Foods - Veggies 00:07:00 Lesson 11: Benefits in 30+ Foods - Veggies Part 2 00:08:00 Lesson 12: Benefits in 30+ Foods - Fruit 00:07:00 Lesson 13: Benefits in 30+ Foods - Grains 00:07:00 Lesson 14: Benefits in 30+ Foods - Nuts & Seeds 00:08:00 Lesson 15: Benefits in 30+ Foods - Legumes & More 00:05:00 Wellness Coaching and Nutritional Therapy Lesson 16: Nutritional Therapist vs Dietitian 00:07:00 Lesson 17: Your Role as a Nutritional Therapist or Wellness Coach 00:05:00 Lesson 18: Skills & Education of a Wellness Coach 00:05:00 Lesson 19: How to Structure Client Consultations 00:05:00 Putting it all Together Lesson 20: Meal Planning - Developing a Healthy Plate 00:02:00 Lesson 21: Summary 00:03:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Level 2 Certificate in Weight Loss and Metabolism is one of our best selling and most popular course. The Level 2 Certificate in Weight Loss and Metabolism is organised into 4 modules and includes everything you need to become successful in this profession. To make this course more accessible for you, we have designed it for both part-time and full-time students. You can study at your own pace or become an expert in just 2 hours! If you require support, our experienced tutors are always available to help you throughout the comprehensive syllabus of this course and answer all your queries through email. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays 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 assessment Certification 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. Who is this course for? Level 2 Certificate in Weight Loss and Metabolism is suitable for anyone who want to gain extensive knowledge, potential experience and professional skills in the related field. This is a great opportunity for all student from any academic backgrounds to learn more on this subject. Course Content The Science & Methodology of Metabolism & Weight Loss Introduction - What is Metabolism and Metabolic Rate 00:06:00 The Science Behind Metabolism and Weight loss 00:05:00 How to Create a Diet Without Dieting 00:07:00 The STEPS to Creating a Metabolic Diet Step 1 - Creating a Metabolic Diet: BMI, BMR & Calories 00:07:00 Step 2 - Creating a Metabolic Diet: Basic Nutrition 00:09:00 Step 3 - Creating a Metabolic Diet: Foods to Avoid 00:05:00 Step 4 - Creating a Metabolic Diet: Water 00:04:00 Step 5 - Creating a Metabolic Diet: Fiber 00:03:00 Step 6 - Creating a Metabolic Diet: Protein 00:03:00 Step 7 - Creating a Metabolic Diet: Carbohydrates 00:05:00 Step 8 - Creating a Metabolic Diet: Omega 3's & Other Fats 00:03:00 Step 9 - Creating a Metabolic Diet: Spicy Foods 00:03:00 Step 10 - Creating a Metabolic Diet: Crunch & Texture 00:02:00 The KEYS to Increasing Metabolism BEYOND Diet! Increase Metabolism with Exercise 00:04:00 How Muscle Mass & Body Fat Affects Metabolism 00:04:00 What about Hormones, The Environment & Stres 00:04:00 How to Keep Motivated & Other Tips 00:03:00 Recording A Wellness Diary 00:02:00 Using this Course to Help Clients! Using metabolic rate diets as a wellness coach 00:03:00 How to run a metabolic rate program 00:04:00 Summary 00:02:00 Increase Metabolism & Lose Weight Naturally-Handouts Increase Metabolism & Lose Weight Naturally-Handouts 00:00:00 Mock Exam Mock Exam- Level 2 Certificate in Weight Loss and Metabolism 00:20:00 Final Exam Final Exam- Level 2 Certificate in Weight Loss and Metabolism 00:20:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

The course is crafted to reflect the in-demand skills in the marketplace that will help you in mastering the key concepts and methodologies of RL and deep RL, along with several practical implementations. This course will help you know the theory and practical aspects of reinforcement and deep reinforcement learning.

This comprehensive Rust-focused course is perfect for individuals seeking in-depth knowledge and expertise in the fields of systems programming, concurrency, and web development. Through practical examples, code-along, and expert theory, you will master Rust and become proficient in building efficient and scalable programs for various applications.

This course equips learners with a comprehensive understanding of the NumPy stack, including NumPy, Matplotlib, Pandas, and SciPy, to effectively tackle common challenges in deep learning and data science. Master the basics with this carefully structured course.

Overview This JavaScript Promises course will unlock your full potential and will show you how to excel in a career in JavaScript Promises. So upskill now and reach your full potential. Everything you need to get started in JavaScript Promises is available in this course. Learning and progressing are the hallmarks of personal development. This JavaScript Promises will quickly teach you the must-have skills needed to start in the relevant industry. In This JavaScript Promises Course, You Will: Learn strategies to boost your workplace efficiency. Hone your JavaScript Promises skills to help you advance your career. Acquire a comprehensive understanding of various JavaScript Promises topics and tips from industry experts. Learn in-demand JavaScript Promises skills that are in high demand among UK employers, which will help you to kickstart your career. This JavaScript Promises course covers everything you must know to stand against the tough competition in the JavaScript Promises field.  The future is truly yours to seize with this JavaScript Promises. Enrol today and complete the course to achieve a JavaScript Promises certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the JavaScript Promises course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the JavaScript Promises course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the JavaScript Promises course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This JavaScript Promises is suitable for anyone aspiring to start a career in JavaScript Promises; even if you are new to this and have no prior knowledge on JavaScript Promises, this course is going to be very easy for you to understand.  And if you are already working in the JavaScript Promises field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this JavaScript Promises course is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This JavaScript Promises course has no prerequisite.  You don't need any educational qualification or experience to enrol in the JavaScript Promises course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online JavaScript Promises course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Section 01: JavaScript Promises What's the point of this course? 00:03:00 Section 02: Understanding Promises Understanding Promises 00:03:00 Why do promises exist? 00:03:00 The Untenable Inconsistency of Promises 00:05:00 Section 03: Using Promises Why use promises? / The Promise Specification / Standard Promise Usage 00:04:00 Demo: Standard Promise Usage 00:07:00 Returning Promises 00:05:00 Demo: Implementing the Promise Spec 00:10:00 Async/Await and Promises 00:01:00 Demo: Async/Await and Promises 00:04:00 Section 04: Multiple Promises About Multiple Promises / Chaining Promises 00:03:00 Demo: Chaining Promises 00:04:00 Promise Utilities 00:04:00 Demo: Promise Utilities race, any and all 00:08:00 Section 05: Handling Errors with Promises What happens when an error happens inside a promise? 00:03:00 Demo: Handling Errors with Promises 00:08:00 Course Summary 00:02:00