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Learn how to make a real difference in your life with our popular relationship manager. Our commitment to online learning and technical expertise is heavily leveraged in the content of these educational modules. Enrol today to take your relationship management knowledge to a whole new level and gain immediate access to research in your chosen field. A Relationship Manager is a professional who is responsible for managing relationships with clients and customers. They are often employed by banks, financial institutions, and other organisations that need to maintain a strong relationship with their customers. This course is endorsed by The Quality Licence Scheme and accredited by CPD (with 120 CPD points) to make your skill development and career progression substantial and easier than ever! The Relationship Manager is responsible for understanding the needs of the customer, providing customer service, and ensuring that the customer is satisfied with the services provided. They also work to build trust and loyalty between the organisation and the customer, as well as to identify any potential issues that may arise. Additionally, they may be responsible for developing and implementing strategies to increase customer satisfaction and loyalty. Enrol now to learn all about it! Learning outcomes Instant access to verified and trusted information Participate in creative and interactive training exercises Rapid assessment and instruction for all subjects The freedom to study anywhere, at your own pace Professional support from dedicated instructors dedicated to online learning Why Prefer this Course? Opportunity to earn a certificate accredited by CPD after completing this Relationship Manager course Student ID card with amazing discounts - completely for FREE! (£10 postal charges will be applicable for international delivery) Standard-aligned lesson planning Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete the program in your own time, at your own pace Each of our students gets full 24/7 tutor support We are confident that you will find the skills and information you need to succeed in this field and stand out in the eyes of others. Don't rely on poor education and half-baked upbringing. We promise to do our best. We will help you reach your full potential whenever and wherever you need it. Keep in mind that Relationship Managers provide valuable and important theoretical training to everyone. However, it does not provide an official qualification for professional practice. Be sure to check with the relevant authorities or administrators for more information. ****Course Curriculum**** Here is the curriculum breakdown of course: Module 01: Introduction to Customer Relationship Management (CRM) What is Customer Relationship Management? Why Customer Relationship Management? Commercial usages of CRM The Benefits of the Customer Value Management Approach Summary Module 02: CRM Fundamentals Defining CRM Types of CRM Misunderstandings CRM Models Customer Lifecycle Summary Module 03: CRM Strategies CRM Perspectives Functional LevelCustomer-facing Front-end LevelCompany-wide Level Elements of a CRM Strategy CRM VisionCulture of Customer OrientationIntegration and Alignment of Organizational ProcessesData and Technology SupportCRM Implementation Developing a CRM Strategy Step 1: Gaining Enterprise-Wide CommitmentStep 2: Building a CRM Project TeamStep 3: Analyzing Business RequirementsStep 4: Defining the CRM Strategy Customer Strategy Summary Module 04: Data Analysis in CRM The Perspectives of Data Analysis Tools for Data Analysis Correlation AnalysisRegression AnalysisFactor AnalysisCluster AnalysisConjoint Analysis Data Analysis Methodology Customer SegmentationRecency-Frequency-Monetary ValueLifetime Value AnalysisPredictive ModellingMarket Basket Analysis (MBA)Click Stream AnalysisPersonalisation Summary Module 05: CRM Databases Types of Databases Customer DatabaseProspect DatabaseCluster DatabaseEnhancement Database The Benefits of Marketing Databases Application of Marketing Databases Applications that Affect Customer RelationshipApplications that Affect Other Business Operations Summary Module 06: Deepening Customer Relationship Importance of Customer Acquisition and Retention Customer Acquisition The Cost of Customer Acquisition Customer Retention Reorganisation for Retaining Customers Customer Retention Marketing Strategies Summary Module 07: Communication Skills Effective Listening Skills Verbal Communication Written CommunicationOral Communication Non-Verbal Communication Communication Strategies Summary Assessment Module 08: Negotiation Techniques Basic Types of Negotiations Phases of Negotiation PreparationDevelopmentClosure Negotiation Techniques Strategies for Identifying Mutual Gain Effective Negotiation Practise Negotiation on Behalf of Others Summary Assessment Module 09: Conflict Management Definition of Conflict Benefits of Confrontation Prevention of Conflicts Anger Management Conflict Resolution Techniques ResearchPresentationTake Action Summary Assessment Module 10: Time Management Activities Planning and Prioritising Overcoming Procrastination Crisis Handling Organising Workspace to Make Better Use of Time Planning of Meetings Summary Assessment Module 11: Handling Customer Complaints Importance of Handling Customer Complaints Principles of Good Complaint Handling Getting it RightBeing Customer FocusedBeing Open and AccountableActing Fairly and ProportionatelyPutting things rightSeeking Continuous Improvement The Role of CRM in Handling Customer Complaints Summary Module 12: Future of CRM Trends Driving Change in Customer Interaction The Changing Face of CRM What is Digital CRM Digital CRM in Practice Where to Start Cyber Security Concerns Summary Assessment Process We offer an integrated assessment framework to make the process of evaluating learners easier. You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the exams. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Designed to provide an introduction to relationship management, this course provides an excellent opportunity to gain the critical skills and confidence to launch a successful career. It also provides access to proven educational knowledge on the subject to support those wishing to achieve their personal goals in this area. Full-time and part-time learners are equally supported and study hours are fully customizable to suit your needs. Requirements No formal qualification is required. Career path Completing the Relationship Manager Training will put your relationship management skills and knowledge to the test. This gives you an advantage in career development, applying for jobs, and on-the-job personal learning. Certificates CPD Accredited Certificate Digital certificate - £10 Diploma in Relationship Manager Training at QLS Level 4 Hard copy certificate - £99 After successfully completing the Diploma in Relationship Manager Training at QLS Level 4 course, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 99 GBP inside the UK 109 GBP (including postal fees) for international delivery CPD Accredited Certificate 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (international delivery)
R Programming for Statistics and Data Science is the course that will take you from a complete beginner in programming with R to a professional who can complete data manipulation on demand. It gives you the complete skillset to tackle a new data science project with confidence and be able to critically assess your and others' work.
About this Virtual Instructor Led Training (VILT) Electrical machines, mainly power transformers and electric motors are critical equipment that run production, and it must operate without any abnormalities. A wide variety of tests and standards have been developed to assist manufacturers and users of motors and transformer winding, assess the condition of the electrical insulation. The objective of this training course is to provide an understanding of power transformers and electric motors, their materials, components, and how they operate. It will also emphasize the importance of transformer life management, especially for those transformers and electric motors which have been in operation for than 10 years. The course will address in detail all aspects related to transformer principles, calculations, operation, testing and maintenance. Training Objectives This course aims to provide participants with the understanding of the fundamentals and constructional features of power transformers and electric motors, with particular reference to the design, testing, operation and maintenance of transformers in power systems. Delegates will gain a detailed appreciation of the following: Practical solutions for specifying, operating and maintaining power transformers and electric motors in a utility or plant environment Comprehensive understanding of principles, protection, maintenance and troubleshooting of power transformers and electric motors The necessary safe procedures relating to transformer operation and related circuitry Understand the principles of operation of the transformer and electric motors Identify the different features of power transformers and electric motors Appreciate the principles of transformer design, ratings, winding, core structure and materials, insulation and cooling methods, insulation and lifetime Utilize thermal limits and loading guides of transformers Analyze transformer and electric motors failure modes Target Audience Engineers of all disciplines Managers Technicians Maintenance personnel Other technical individuals Course Level Basic or Foundation Training Methods The VILT will be delivered online in 4 half-day sessions comprising 4 hours per day, with 1 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises. Additionally, some self-study will be requested. Participants are invited but not obliged to bring a short presentation (10 mins max) on a practical problem they encountered in their work. This will then be explained and discussed during the VILT. A short test or quiz will be held at the end the course. Trainer Our key expert is actively involved in electrical inspections, energy audits, energy efficiency and technical consultation for M&E activities for industrial and commercial sectors. He is involved in testing and commissioning works of factory substations of up to 132kV system. He previously worked for Jimah coal-fired power plant in Port Dickson for 9 years with his last position being Electrical Maintenance Section Head. He was involved in the commissioning of coal-fired power plant mainly with 500kV generator transformer, 934 MVA generator, and up to 33kV MV motors and switchgear panels. Our key expert has managed the maintenance team to perform routine maintenance activities (together with supporting tools such as motor lube oil analysis, infrared thermography analysis, transformer oil analysis) & electrical troubleshooting and plant outages for critical and non-critical equipment. Besides that, our key expert has published several IEEE conference papers and journals such as: (2009). Effectiveness of auxiliary system monitoring & continuous hydrogen scavenging operation on hydrogen-cooled generator at power plant. In Energy and Environment, 2009. ICEE 2009. 3rd International Conference on (pp. 151-160). IEEE. (2010). Study on electric motor mass unbalance based on vibration monitoring analysis technique. In Mechanical and Electrical Technology (ICMET), 2010 2nd International Conference on (pp. 539-542). IEEE. (2012). Re-Design of AC Excitation Busduct based on Infrared (IR) Thermography: Condition-Based Monitoring (CBM) data analysis. eMaintenance, 101. (2016). Energy Saving Studies for a University Campus: An Educational-Based Approach, 3rd International Conference on Language, Education, Humanities and Innovation 2016. 'Grid-tied photovoltaic and battery storage systems with Malaysian electrcity tariff - A review on maximum demand shaving.' Energies 10.11 (2017): 1884 'Techno-Economic Optimization of Grid-Connected Photovoltaic (PV) and Battery Systems Based on Maximum Demand Reduction (MDRed) Modelling in Malaysia.' Energies 12.18 (2019): 3531 POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations
QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost
Overview With the ever-increasing demand for Big Data Analytics in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Big Data Analytics may be. Learning about Big Data Analytics or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Big Data Analytics . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Big Data Analytics is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates. The self-paced online learning methodology by compete high in this Big Data Analytics course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course! Instead of searching for hours, enrol right away on this Big Data Analytics course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run. Who is this course for? While we refrain from discouraging anyone wanting to do this Big Data Analytics course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Big Data Analytics , Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Big Data Analytics , Anyone looking for a certificate of completion on doing an online training on this topic, Students of Big Data Analytics , or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity Career Path This Big Data Analytics course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams. Course Curriculum Module 1_ Introduction to Big Data. Introduction to Big Data. 00:00 Module 2_ Hadoop and MapReduce. Hadoop and MapReduce. 00:00 Module 3_ NoSQL Databases. NoSQL Databases. 00:00 Module 4_ Data Storage and Retrieval. Data Storage and Retrieval. 00:00 Module 5_ Data Processing with Spark. Data Processing with Spark. 00:00 Module 6_ Data Analysis with Hadoop and Pig. Data Analysis with Hadoop and Pig. 00:00
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