Overview This comprehensive course on Virtual Interviewing for HR will deepen your understanding of the human resource & management industry. After successful completion of this course you can acquire the required skills in this sector. This Virtual Interviewing for HR comes with accredited certification which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? After successfully completing the course you will be able to order your certificate, these are included in the price. Who is this course for? There is no experience or previous qualifications required for enrolment on this Virtual Interviewing for HR. It is available to all students, of all academic backgrounds. Requirements Our Virtual Interviewing for HR is fully compatible with PC's, Mac's, Laptop,Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 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 qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 1 sections • 6 lectures • 02:15:00 total length •Module 1: An Introduction to Virtual Interviewing: 00:16:00 •Module 2: Interviewer's Perspective: 00:15:00 •Module 3: Interview Preparation: 00:30:00 •Module 4: Picking a Tech to Use: 00:30:00 •Module 5: Attract and Hire the Best Talents: 00:15:00 •Module 6: Final Thoughts and Onboarding: 00:29:00
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.
ICA Certificate in Anti Money Laundering A practical, introductory-level course that will give you a solid understanding of core money laundering and terrorist financing risks. Through this qualification, you will: discover what money laundering and terrorist financing are and why sanctions are important appreciate the vulnerabilities of financial institutions to money laundering and terrorist financing explore what anti money laundering and combating terrorist financing is in practice and what the legal and regulatory structures look like understand management obligations and the risk-based approach to money laundering and terrorist financing Suitable for operational or front-line staff and those considering embarking on a new career in AML as a stepping-stone for study at a higher level. This course is awarded in association with Alliance Manchester Business School, the University of Manchester. What are the benefits of undertaking this qualification?: Flexible learning solutions that are suited to you Our learner-centric approach means that you will gain relevant practical and academic skills and knowledge that can be used in your current role Improve your career options by undertaking a globally recognised qualification that hiring managers look for as part of their hiring criteria Many students have stated that they have received a promotion and/or pay rise as a direct result of gaining their qualification The qualifications ensure that you are enabled to develop strategies to help manage and prevent risk within your firm, thus making you an invaluable asset within the current climate This ICA Certificate in Anti Money Laundering is awarded in association with Alliance Manchester Business School, the University of Manchester. Upon successful completion of this course, students will be awarded the ICA Certificate in Anti Money Laundering - Cert (AML) What will you learn? Understanding Money Laundering, Terrorist Financing and Sanctions Vulnerabilities of financial institutions to money laundering and terrorist financing Anti money laundering and combating terrorist financing in practice Anti money laundering and combating terrorist financing - legal and regulatory structures Management obligations and the risk-based approach to money laundering and terrorist financing How will you be assessed? Assessed by online multiple-choice exam
Getting Started OTHM Level 3 Diploma in Business Studies equips the learner with the abilities and data to work the business and this course change the learner to grasp the connected problems to business and business environment. And this qualification helps the learner to urge full knowledge concerning the business functions and its role in our society. when completion of this course the learner will qualify the following level. Qualification awarded by OTHM RQF Level 3 represents sensible knowledge, skills, capabilities, and competencies that are assessed in tutorial terms as being like GCE AS/A Levels. Key Benefits Understand different learning styles. Learn IT skills for business writing Understand different learning styles. Understand different types of businesses and their functions. Understand the principles of people management Key Highlights Wishing to Empower yourself to contribute to the world in future? Then, SBTL delivers OTHM Level 3 Diploma in Business Studies, an in-depth understanding of the operations and structure of businesses. OTHM qualifications Level 3 represent practical knowledge, skills, capabilities and competences that are assessed in academic terms as being equivalent to GCE AS/A Levels. Remember! The assessment for the qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the qualification at your own pace choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our OTHM approved tutors who would 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 you with comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways The OTHM Level 3 Diploma in Business Studies can open many career pathways including, but not limited to: Claims Handler (Entry Level); with an estimated average salary of £18,000 per annum Customer Support Assistant (Entry Level); with an estimated average salary of £20,593 per annum Administration Assistant (Entry Level); with an estimated average salary of £22,675 per annum Trainee Payroll Executive (Entry Level); with an estimated average salary of £21,000 per annum Marketing Assistant (Entry Level); with an estimated average salary of £22,500 per annum About Awarding Body OTHM is an established and recognised Awarding Organisation (Certification Body) launched in 2003. OTHM has already made a mark in the UK and global online education scenario by creating and maintaining a user-friendly and skill based learning environment. OTHM has both local and international recognition which aids OTHM graduates to enhance their employability skills as well as allowing them to join degree and/or Master top-up programmes. OTHM qualifications has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through SBTL Support Desk Portal. Access to our cutting-edge learning management platform where you will be able to access vital learning resources and communicate with support desk team. Quality learning materials such as 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. Formative assessment feedback will be provided by the tutors to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through online learning platform. This facilitates SBTL in providing learners with course materials directly through smartphone, laptop, tablets or desktop offering students' opportunity to study as per their convenience. Live Classes (for Blended Learning Students only). Assessment Time-constrained scenario-based assignments No examinations Entry Requirements Learners must be 18 years of demonstrate the ability to undertake the learning and Assessment A learner not from a majority English-speaking country must provide evidence of English language competency. Progression OTHM Level 4 diplomas Direct entry into the first year of a 3-year UK Bachelor's degree Direct entry into a range of their Bachelor's degree programmes. Why gain a OTHM Qualification? Quality, Standards and Recognitions- OTHM qualifications are approved and regulated by Ofqual (Office of the Qualifications and Examinations Regulation) hence the learners can be very confident about the quality of the qualifications as well. Career Development to increase credibility with employers- All OTHM qualifications are developed to equip learners with the skills and knowledge that every employer is looking for. The learners pursuing an OTHM qualification will obtain an opportunity to enhance knowledge and grow key competencies to tackle situations and work projects more effectively which will in turn gives learners the potential to get promotion within workplace. Alternatively, it allows them to progress onto a MBA top-up/ Bachelor degree / Master degree programmes around the World. Flexible study options- All OTHM qualifications has a credit value which tells you how many credits are awarded when a unit is completed. The credit value will give an indication of how long it will normally take you to prepare for a unit or qualification. Three different types of qualification are: Award is achieved with 1 - 12 credits Certificate is achieved with 13 - 36 credits Diploma is achieved with at least 37 credits The Level 3 Diploma in Business Studies qualification consists of 4 mandatory units plus 2 optional units for a combined total of 60 credits, 600 hours Total Qualification Time (TQT) and 360 Guided Learning Hours (GLH) for the completed qualification. 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- Introduction to Research and Academic Skills Reference No : R/616/0686 Credit : 10 || TQT : 100 This unit aims to supply learners with a grounding within the key analysis and tutorial skills needed for winning study at this level and later employment and/or more study. UNIT2- Using IT for Business Reference No : J/616/2712 Credit : 10 || TQT : 100 The aim of this unit is to introduce learner with the importance of IT in business development in current business world UNIT3- Introduction to Economics and Accounting Reference No : D/616/0691 Credit : 10 || TQT : 100 This unit aims to provide learners deep understanding of the role of economics and accounting in a business environment. UNIT4- Managing Business Events Reference No : R/616/2714 Credit : 10 || TQT : 100 This unit aims to develop learners' to know about the principles that apply to the planning and management of events in different business sectors UNIT5- Introduction to Marketing Reference No : D/616/2716 Credit : 10 || TQT : 100 The aim of this unit is to develop the learnersto know the principles that apply to marketing in a business environment, including marketing models, sales principles, and marketing planning. UNIT6- Introduction to the Business Environment Reference No : L/616/2713 Credit : 100 || TQT : 100 The goal of this unit is to make the learner aware of different type of business, their function, and structures, as well as understanding basic marketing principles. 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.
Course Objectives At the end of this course you will be able to: Work with advanced lookup and reference functions Create macros to automate common tasks Use advanced techniques to analyse data Create PivotTables and PivotCharts Work with data validation tools Import and export data ' Customer Feedback Best Training Ever! Just finished a bespoke 1-1 training course in Excel Advanced, Macros & VBA. Pedro is an excellent trainer, imparting his skills and knowledge in the best way - appropriately to audience skills, knowledge and ability. Pedro is always approachable, encouraging and supportive, giving delegates the optimum learning environment. I would not hesitate to recommend Pedro as a trainer, whatever your level of ability. Amanda Morris - Treasury & Systems Accountant at Reall - Real Equity for All The course was very interesting and engaging and will definitely be put to use. The trainer was very helpful and charismatic. Marving Lopez - AM Best Europe Pedro was excellent. Very knowledgeable, clear and great rapport with class. Darren Barkey - Direct Wines Great content and learnt a lot. Really enjoyable :) Kristie-Lee Ryan - Stirling Ackroyd 1 year email support service Take a closer look at the consistent excellent feedback visiting our site ms-officetraining co uk With more than 20 years experience, we deliver courses on all levels of the Desktop version of Microsoft Office and Office 365; ranging from Beginner, Intermediate, Advanced to the VBA level. Our trainers are Microsoft certified professionals with a proven track record with several years experience in delivering classrom, one to one, tailored and bespoke courses. Tailored In Company training: You can choose to run the course exactly as they are outlined by us or we can customise it so that it meets your specific needs. A tailored or bespoke course will follow the standard outline but may be adapted to your specific organisational needs. Please visit our site (ms-officetraining co uk) to get a feel of the excellent feedback our courses have had and look at other courses you might be interested in. Advanced Functions COUNT, COUNTA, COUNTIF, COUNTBLANK, SUMIF, SUBTOTAL IF, OR, AND, IFERROR VLOOKUP to lookup Exact Values and Approximate values MATCH, INDIRECT, ROW/COLUMN, INDEX, OFFSET Analysing Data PMT function to calculate a monthly payment of a loan What If Analysis using Goal Seek Use scenarios to consider many different variables Using Solver Add-in to optimize variables PivotTables Create a PivotTable to analyse worksheet data Add or remove fields in a PivotTable Change the data source for a PivotTable Working with external data sources Using different Statistical Functions Calculate a Running Total, % of Grant Total, Difference From… Using the Slicer and Timeline to filter the PivotTable Using Filters in a PivotTable Group by Date, Auto Group by ranges of values, Custom Group Create a PivotChart The GETPIVOTDATA function Formula auditing Precedents and dependents Error checking Watch a formula and its result by using the Watch Window Evaluate a nested formula one step at a time Data Validation Number Validation Data List Validation Message Prompts and Alerts Conditional Data Validation Data Validation Errors Consolidation Consolidate data by position Consolidate data by category Use a formula to consolidate data Outline (group) data in a worksheet Create an outline of rows Create an outline of columns Copy outlined data Hide or remove an outline Connect external data to your workbook Using the Power Query Editor to import data From Text and CSV, From Access, From Web, From another Workbook Using the Power Query Editor to; Transform your data by Selecting which fields to import, by Splitting Columns, Changing Data Type and more. Deleting Applied Steps Refreshing your data Working with Form Controls; Buttons, Option Buttons and Scroll Bars Introduction to Macros Change Macro Security settings How to Record a macro Some Macro Examples Delete a macro Edit the macro to view the VBA code Copy part of a macro to create another macro Assign a macro to a button Who is this course for? Who is this course for? This course is intended to end users who want to develop their skills so they can use advanced techniques to analyse extensive and complex datasets in Excel and to automate simple tasks with the use of Macros. Requirements Requirements Preferably, delegates should have attended the Excel Intermediate course. Career path Career path Excel know-how can instantly increase your job prospects as well as your salary. 80 percent of job openings require spreadsheet and word-processing software skills Certificates Certificates Certificate of completion Digital certificate - Included
The Microsoft Certified Associate is a new breed of Microsoft certification. It is referred to as a ‘role-based certification’. According to Microsoft, role-based certifications show that individuals that possess them are keeping pace with today’s technical roles and requirements. They allow a learner to skill up and prove their expertise to employers and peers, plus get the recognition and opportunities they’ve earned.
Description Learn the necessary skills for becoming an excellent orator with the Communication Course: Questioning and Listening course. Communication plays a vital part in every sphere of your life. Whether you need a pass a job interview or need to request something from a person, appropriate language use is a must. The course is designed to enhance your communication skills. The course starts by explaining the term 'questioning' and explains the reasons for asking a question. As the course lesson proceeds, you will understand the main body language cues, and signs while questioning. The role of emotional intelligence and the use of body languages at the time of questioning will also be discussed in the course. Apart from these, the course illustrates 12 different types of questions along with the pros and cons, examples, and interpersonal implications of these questions. The active listening skills and the strategies of becoming a sound listener will also be explored in the course. Upon completion, you will able to respond appropriately to possible questions. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Communication Course: Questioning and Listening is certified by CPD Qualifications Standards and CiQ. 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 background. Requirements Our Communication Course: Questioning and Listening 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 After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Introduction to The Ultimate Guide to Questioning Course Introduction FREE 00:05:00 The Fundamentals - What & Why What is questioning? 00:02:00 What can questions do? 00:10:00 Why do we ask questions? 00:04:00 Active listening Are you listening? 00:09:00 Active Listening Exercise 00:09:00 Body language Body language 00:13:00 The 12 Different Types of Questions Introduction to the 12 question types 00:03:00 Closed questions 00:03:00 Tag or tail questions 00:02:00 Open questions 00:02:00 Imagine questions 00:02:00 Funnel questions 00:02:00 Probing questions 00:06:00 Recall & process questions 00:02:00 Socratic questions - 6 types 00:04:00 Leading Questions 00:02:00 Loaded questions 00:02:00 Rhetorical questions 00:02:00 Empathetic questions 00:03:00 How can people respond to questions? 8 possible question responses 00:06:00 Summary Summary of Ultimate Guide To Questioning 00:04:00 Assessment Assignment - Communication Course: Questioning and Listening 00:00:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00