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The Customer Relationship Management (CRM) sector is witnessing an upsurge, offering many career opportunities worldwide. From managing customer data to resolving complaints, CRM professionals play an indispensable role in shaping an organisation's image and building customer loyalty. With the average salary range for CRM specialists in the UK lying between £40,000 to £90,000 and rising demand for such roles, this is a profession not just of the present but the future. Learning Outcomes: Understand the core principles of CRM. Identify effective CRM strategies for businesses. Analyse customer data for insightful decision-making. Familiarise yourself with CRM database structures and uses. Deepen and enhance customer relationships. Efficiently address and manage customer complaints. Predict future trends and directions of CRM. Kye Highlights of the Customer Relationship Management (CRM)course: Lifetime access to CRM course materials Full tutor support is available from Monday to Friday with the CRM course Learn CRM skills at your own pace from the comfort of your home Gain a complete understanding of CRM course Accessible, informative CRM learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the CRM Study CRM in your own time through your computer, tablet or mobile device A 100% learning satisfaction guarantee with your CRM course Customer Relationship Management Curriculum Breakdown of the Customer Relationship Management Course Module 01: Introduction to Customer Relationship Management (CRM) Module 02: CRM Fundamentals Module 03: 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 CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Customer Relationship Management (CRM) course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Customer Relationship Management (CRM). Requirements To enrol in this Customer Relationship Management course, all you need is a basic understanding of the English Language and an internet connection. Career path The Customer Relationship Management course will enhance your knowledge and improve your confidence. CRM Specialist: £30,000 to £50,000 per year Customer Success Manager: £35,000 to £60,000 per year CRM Administrator: £25,000 to £40,000 per year Sales Operations Analyst (CRM-focused): £28,000 to £45,000 per year CRM Consultant: £40,000 to £65,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

Discover the fascinating world of dentistry with our comprehensive course that covers every aspect of this rewarding career. Learn the intricacies of paediatric dentistry and the use of general dentistry instruments, and dive into the nitty-gritty of dental office management. Our curriculum also includes essential topics such as oral diagnosis, treatment planning, dental terminology, safe handling of dental materials, infection control, dental radiology, and the high standards of dental practice in the UK. Join us on this educational journey as our well rounded course will provide you with the knowledge to excel in any dental setting. Don't miss this opportunity to gain valuable insights in the field of dentistry. Learning Outcomes: Understand child-specific dental concerns and treatments. Identify and utilise general dentistry instruments. Learn how the daily operations of a dental office are managed. Discover how oral diagnosis and developing treatment plans are performed. Learn how to ensure the safe handling of dental materials. Comprehend about the implementation of infection control measures in the workplace. Learn how dental radiography equipment are proficiently used. Learn to adhere to UK dental practice standards. Key Highlights for Dentistry Course: Lifetime access & update without any limits Unlimited Retake Exam and premium support for life 100% online and self-paced Easy Accessibility to the Course Materials- Anytime, Anywhere - From Any Smart Device (Laptop, Tablet, Smartphone Etc.) 100% Learning satisfaction guarantee Covers to explore multiple job positions One-stop solution for entrepreneurs and Jobseekers Fastest growing sector Boost your salary on program completion Learn from diligent experts Interactive curriculum with real-time challenges Expert-verified response for quality education Curriculum Breakdown: Paediatric Dentistry General Dentistry Instruments Dental Office Management Oral Diagnosis, Treatment Planning and Dental Terminology General Handling and Safety of Dental Materials in the Dental Office Infection Control and Instruments Dental Radiology Standards of Dental Practice in the UK CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring dental professionals. Dental assistants seeking knowledge expansion. Dental office managers. Dental hygienists. Dental nurses. Recent dental school graduates. Career changers interested in dentistry. Dental technicians. Requirements To enrol in this course, all you need is a basic understanding of the English Language and an internet connection. Career path General Dentist - £50-95k/year. Paediatric Dentist - £60-100k/year. Dental Hygienist - £24-40k/year. Dental Office Manager - £25-45k/year. Dental Nurse - £18-30k/year. Dental Radiographer - £23-42k/year. Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

Master the art of Stakeholder Management with our comprehensive training program. Whether you're a project manager, business analyst, or aspiring leader, understanding and effectively engaging with stakeholders is crucial for organizational success. Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access In the Stakeholder Management Training course, learners will gain essential skills to effectively handle relationships with stakeholders. They will understand the importance of identifying and analyzing stakeholders, learning how to map their interests and influence. Building strong relationships through effective communication and engagement strategies will be emphasized, enabling learners to foster trust and cooperation. They will also learn techniques to manage conflicts that may arise with stakeholders, ensuring smoother project implementation and outcomes. The course covers various stakeholder theories, providing insights into different perspectives and approaches to stakeholder management. Learners will develop the ability to monitor and evaluate stakeholder engagement efforts, helping them adjust strategies for better outcomes. Overall, the course equips learners with practical tools and knowledge to navigate complex stakeholder relationships in a business environment effectively. Course Curriculum Module 01: Introducing Stakeholder Management Module 02: Stakeholder Mapping Module 03: Building Strong Business Relationships With Stakeholders Module 04: Stakeholder Engagement Module 05: Managing Stakeholder Conflict Module 06: Stakeholder Theories Module 07: Monitoring and Evaluating the Engagement Module 08: Stakeholder Engagement Through Effective Communication Learning Outcomes Understand Stakeholder Management principles and their significance in organisations. Apply Stakeholder Mapping techniques to identify key stakeholders effectively. Develop strategies for building and maintaining strong stakeholder relationships. Implement methods for engaging stakeholders in business decision-making processes. Manage and resolve conflicts that may arise with stakeholders effectively. Evaluate Stakeholder Engagement initiatives using appropriate monitoring and evaluation methods. CPD 10 CPD hours / points Accredited by CPD Quality Standards Stakeholder Management Training 1:19:44 1: Module 01: Introducing Stakeholder Management 07:57 2: Module 02: Stakeholder Mapping 08:42 3: Module 03: Building Strong Business Relationships With Stakeholders 07:55 4: Module 04: Stakeholder Engagement 09:07 5: Module 05: Managing Stakeholder Conflict 11:16 6: Module 06: Stakeholder Theories 10:15 7: Module 07: Monitoring and Evaluating the Engagement 08:39 8: Module 08: Stakeholder Engagement Through Effective Communication 13:53 9: CPD Certificate - Free 01:00 10: Leave A Review 01:00 Who is this course for? Project managers Business analysts Marketing professionals Operations managers Strategic planners Career path Business Development Manager Public Relations Officer Corporate Communications Specialist Government Relations Manager Customer Relationship Manager Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

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Duration 5 Days 30 CPD hours This course is intended for Network designers Network administrators Network engineers Systems engineers Data center engineers Consulting systems engineers Technical solutions architects Field engineers Cisco integrators and partners Server administrator Network manager Overview After taking this course, you should be able to: Implement routing and switching protocols in Data Center environment Implement overlay networks in data center Introduce high-level Cisco Application Centric Infrastructure (Cisco ACI™) concepts and Cisco Virtual Machine manager (VMM) domain integration Describe Cisco Cloud Service and deployment models Implement Fibre Channel fabric Implement Fibre Channel over Ethernet (FCoE) unified fabric Implement security features in data center Implement software management and infrastructure monitoring Implement Cisco UCS Fabric Interconnect and Server abstraction Implement SAN connectivity for Cisco Unified Computing System™ (Cisco UCS) Describe Cisco HyperFlex™ infrastructure concepts and benefits Implement Cisco automation and scripting tools in data center Evaluate automation and orchestration technologies The Implementing and Operating Cisco Data Center Core Technologies (DCCOR) v1.1 course helps you prepare for the Cisco© CCNP© Data Center and CCIE© Data Center certifications for advanced-level data center roles. In this course, you will master the skills and technologies you need to implement data center compute, LAN and SAN infrastructure. You will also learn the essentials of automation and security in data centers. You will gain hands-on experience deploying, securing, operating, and maintaining Cisco data center infrastructure including: Cisco MDS Switches and Cisco Nexus Switches; Cisco Unified Computing System? (Cisco UCS©) B-Series Blade Servers, and Cisco UCS C-Series Rack Servers. Implementing Data Center Switching Protocols Spanning Tree Protocol Port Channels Overview Implementing First-Hop Redundancy Protocols Hot Standby Router Protocol (HSRP) Overview Virtual Router Redundancy Protocol (VRRP) Overview Implementing Routing in Data Center Open Shortest Path First (OSPF) v2 and Open Settlement Protocol (OSP) v3 Border Gateway Protocol Implementing Multicast in Data Center IP Multicast in Data Center Networks Internet Group Management Protocol (IGMP) and Multicast Listener Discovery (MLD) Implementing Data Center Overlay Protocols Cisco Overlay Transport Virtualization Virtual Extensible LAN Implementing Network Infrastructure Security User Accounts and Role Based Access Control (RBAC) Authentication, Authorization, and Accounting (AAA) and SSH on Cisco NX-OS Describing Cisco Application-Centric Infrastructure Cisco ACI Overview, Initialization, and Discovery Cisco ACI Management Describing Cisco ACI Building Blocks and VMM Domain Integration Tenant-Based Components Cisco ACI Endpoints and Endpoint Groups (EPG) Describing Packet Flow in Data Center Network Data Center Traffic Flows Packet Flow in Cisco Nexus Switches Describing Cisco Cloud Service and Deployment Models Cloud Architectures Cloud Deployment Models Describing Data Center Network Infrastructure Management, Maintenance, and Operations Time Synchronization Network Configuration Management Explaining Cisco Network Assurance Concepts Need for Network Assurance Cisco Streaming Telemetry Overview Implementing Fibre Channel Fabric Fibre Channel Basics Virtual Storage Area Network (VSAN) Overview Implementing Storage Infrastructure Services Distributed Device Aliases Zoning Implementing FCoE Unified Fabric Fibre Channel over Ethernet Describing FCoE Implementing Storage Infrastructure Security User Accounts and RBAC Authentication, Authorization, and Accounting Describing Data Center Storage Infrastructure Maintenance and Operations Time Synchronization Software Installation and Upgrade Describing Cisco UCS Server Form Factors Cisco UCS B-Series Blade Servers Cisco UCS C-Series Rack Servers Implementing Cisco Unified Computing Network Connectivity Cisco UCS Fabric Interconnect Cisco UCS B-Series Connectivity Implementing Cisco Unified Computing Server Abstraction Identity Abstraction Service Profile Templates Implementing Cisco Unified Computing SAN Connectivity iSCSI Overview Fibre Channel Overview Implementing Unified Computing Security User Accounts and RBAC Options for Authentication Introducing Cisco HyperFlex Systems Hyperconverged and Integrated Systems Overview Cisco HyperFlex Solution Describing Data Center Unified Computing Management, Maintenance, and Operations Compute Configuration Management Software Updates Implementing Cisco Data Center Automation and Scripting Tools Cisco NX-OS Programmability Scheduler Overview Describing Cisco Integration with Automation and Orchestration Software Platforms Cisco and Ansible Integration Overview Cisco and Puppet Integration Overview Describing Cisco Data Center Automation and Orchestration Technologies (Self-study) Power On Auto Provisioning Cisco Data Center Network Manager Overview Additional course details: Nexus Humans Cisco Implementing Cisco Data Center Core Technologies v1.1 (DCCOR) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Implementing Cisco Data Center Core Technologies v1.1 (DCCOR) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Description Microsoft Project is one of the excellent project management software in the world. Microsoft Project is useful software which helps in assisting a project manager to develop a plan; assigning resources to tasks and much more. Get a kick start of Microsoft Project from the scratch through this course. Learn how to use Microsoft project management from the very beginning. Explore the essential functions and features of Microsoft Project. In this course you will learn the necessary skills, knowledge and information of Microsoft Project.  Who is this course for? Individuals who are interested in Microsoft Project and are seeking to acquire knowledge about it. For individuals who are already working in project management and are looking forward to excelling at their work place. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Microsoft Project for Beginners will be very beneficial and helpful, especially to the following professionals: Junior Project Manager. Project Assistant. Project Management Officer. Project Support. Microsoft Project for Beginners Module One - Getting Started 01:00:00 Module Two - Opening and Closing Project 02:00:00 Module Three - Your First Project 02:00:00 Module Four - Adding Tasks 02:00:00 Module Five - Advanced Task Operations 02:00:00 Module Six - Adding Resources 02:00:00 Module Seven - Other Ways to View Project Information 02:00:00 Module Eight - Managing Your Project Status 02:00:00 Module Nine - Updating and Tracking Your Progress 02:00:00 Module Ten - Creating Reports 02:00:00 Module Eleven - Adding the Finishing Touches 02:00:00 Module Twelve - Wrapping Up 01:00:00 Activities Microsoft Project for Beginners - Activities 00:00:00 Mock Exam Mock Exam- Microsoft Project for Beginners 00:20:00 Final Exam Final Exam- Microsoft Project for Beginners 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

This comprehensive course is designed to take you on a journey of mastering React, the popular JavaScript library for building dynamic user interfaces, and combining it with the power of .NET API for seamless back-end integration. This course will provide you with a solid foundation and hands-on experience in building full-stack applications.

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.

Imagine growing your own fresh produce at home without the need for a garden. The "Build Your Own Home Hydroponic Farm" course is your gateway to mastering the art of hydroponic farming from the comfort of your own space. This course guides you through the process of creating a thriving hydroponic system using minimal resources. You will learn to cultivate a variety of plants efficiently, even in small spaces, without the reliance on soil or traditional farming methods. By joining this course, you’ll discover the simplicity and benefits of hydroponics: fast growth, minimal water use, and space efficiency. The content is designed for both beginners and those looking to refine their knowledge, with clear instructions, step-by-step guidance, and expert insights. Dive into an innovative, sustainable way to grow nutritious crops right at home. The "Build Your Own Home Hydroponic Farm" course is your opportunity to explore an alternative farming technique that’s as easy to learn as it is rewarding, ensuring fresh, home-grown food all year round. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum of Build Your Own Home Hydroponic Farm Module 01 :Introduction to Hydroponics Module 02 :Equipment for Hydroponics Module 03 :Rooting Media Module 04 :Plant Nutrition Module 05 :Seed, Seedling and Plant Maintenance Module 06 :Nutritional Problems in Plant Module 07 :Nutritional Problems and Solutions in Plant Module 08 : Growing in Greenhouse Learning Outcomes: Grasp Hydroponic Fundamentals: Understand the core principles of hydroponic farming. Equip with Essential Tools: Familiarize yourself with the necessary hydroponic equipment. Optimize Plant Nutrition: Learn to provide optimal nutrition for robust plant growth. Master Seedling Care: Cultivate healthy seedlings and sustain plant vitality. Resolve Nutritional Challenges: Identify and address common plant nutrition issues. Flourish in Greenhouse Environment: Gain expertise in greenhouse-based cultivation. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Enthusiastic gardening hobbyists seeking a modern approach. Urban dwellers with limited outdoor gardening space. Homeowners keen on sustainable and efficient farming methods. Botany enthusiasts eager to delve into hydroponics. Students pursuing horticulture or related fields. Individuals interested in self-sustaining agriculture practices. Entrepreneurs exploring innovative farming ventures. Gardeners aiming to diversify their skill set. Career path Hydroponic Farm Consultant Indoor Farming Technician Sustainable Agriculture Researcher Greenhouse Operations Manager Urban Agriculture Specialist Hydroponics Equipment Sales Representative Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Leadership isn’t about loud voices in boardrooms. It’s about sharp minds making sharp decisions. The Modern Strategic Leadership Course is built for those who see the bigger picture, think ten moves ahead, and are ready to lead with clarity, not cliché. If you’re keen to learn what makes a strategy tick, how to steer a team through uncertainty, and how to influence decisions without turning into a walking slogan, this course fits the brief. No fluff, no drama — just solid, structured insight into modern leadership techniques. Across each module, you’ll explore how strategy is shaped in modern organisations, why leadership today demands more than titles, and how decisions at the top ripple through every level. This isn’t a course about following trends — it’s about understanding the patterns that shape outcomes. Whether you manage a team, run a department, or aim to do either one day, you’ll gain the tools to think with intent and lead with purpose. And no, we won’t ask you to shout “synergy” in a mirror." Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 01: Introduction to Strategic Direction and Leadership Module 02: Different Leadership Theories and Styles Module 03: Leadership Skills and Competencies Module 04: Leadership and Emotional Intelligence Module 05: Collaborative Work A Leader's Role Module 06: Motivating Employees Module 07: Talent Management Module 08: Leadership and Succession Planning Module 09: Conflict Management Techniques Module 10: Fundamentals of Negotiation Process Module 11: Strategic Innovation and Entrepreneurship Learning Outcomes: Develop a profound understanding of leadership principles. Master various leadership styles and their applications. Enhance emotional intelligence for effective leadership. Facilitate collaboration and teamwork within your organization. Motivate and inspire your team to achieve their best. Gain expertise in strategic innovation and entrepreneurship. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Managers aiming to advance their leadership skills. Aspiring leaders seeking to prepare for leadership roles. Professionals looking to boost their leadership competencies. Individuals interested in honing their conflict management and negotiation abilities. Entrepreneurs and innovators seeking strategic insights. Career path Team Leader Operations Manager HR Manager Project Manager Innovation Strategist Entrepreneur Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.