45166 Courses in Cardiff delivered Online

Who is this course for? This course is ideal for individuals interested in learning landscape architecture, emphasizing the planning, design, and management of various outdoor spaces, such as private gardens, public parks, and commercial landscapes. Click here for more info: Website 1-on-1 training, Monday to Saturday, 9 a.m. to 7 p.m., or call to book. Tailor your 40-hour course  Option A: AutoCAD, Sketchup, Vray, and Photoshop.  Option B: Rhino, Sketchup, Vray, and Photoshop. Both covering specializes in Planting Plans and Maps. Course Outline - Option A: AutoCAD, Sketchup, Vray, Photoshop (Total: 40 hours) AutoCAD (10 hours): Module 1: Introduction to AutoCAD (2 hours) - Overview of AutoCAD interface and tools - Creating, opening, and saving drawings - Basic drawing and editing commands Module 2: Drawing and Editing (3 hours) - Working with lines, circles, and arcs - Utilizing polylines and polygons - Modifying objects: Move, Copy, Rotate, and Scale Module 3: Precision Drawing (3 hours) - Using coordinate systems for precision - Dimensioning and text incorporation - Hatching and gradients for added detail Module 4: Advanced Tools (2 hours) - Leveraging blocks and attributes - Managing layers and object properties - Creating layouts and preparing for plotting Sketchup (16 hours): (Specializing in Planting Plans, Vegetation Plans, and Maps) Module 1: Introduction to Sketchup (2 hours) - Navigating the Sketchup interface - Grasping basic 2D and 3D modeling concepts - Creating and manipulating objects Module 2: Advanced Modeling (6 hours) - Model intricate garden elements with curves and surfaces - Expertly edit and transform geometry - Specialized focus on Planting Plans, Vegetation Plans, and Maps Module 3: Visualization with Vray (4 hours) - Understanding the Vray rendering engine - Applying materials and textures for realism - Setting up lighting and cameras for realistic rendering Module 4: Image Enhancement with Photoshop (10 hours): - Introduction to Photoshop for design purposes - Editing and enhancing Sketchup and Vray outputs - Creating visually striking presentations Additional Resources: Access free online portfolio design assistance, career growth guidance, and mock interviews to ensure your readiness for the competitive job market. Course Outline - Option B: AutoCAD, Rhino, Vray, Photoshop (Total: 40 hours) AutoCAD (12 hours): Module 1: Introduction to AutoCAD (2 hours) - Overview of AutoCAD interface and tools - Creating, opening, and saving drawings - Basic drawing and editing commands Module 2: Drawing and Editing (3 hours) - Working with lines, circles, and arcs - Utilizing polylines and polygons - Modifying objects: Move, Copy, Rotate, and Scale Module 3: Precision Drawing (3 hours) - Using coordinate systems for precision - Dimensioning and text incorporation - Hatching and gradients for added detail Module 4: Advanced Tools (4 hours) - Leveraging blocks and attributes - Managing layers and object properties - Creating layouts and preparing for plotting Rhino (14 hours): Module 1: Introduction to Rhino (2 hours) - Navigating the Rhino interface - Grasping basic 2D and 3D modeling concepts - Creating and manipulating objects Module 2: Advanced Modeling (6 hours) - Model intricate garden structures with curves and surfaces - Proficiently edit and transform geometry - Build complex 3D structures Module 3: Visualization with Vray (6 hours) - Setting up lights and cameras for garden renders - Exploring rendering settings and options - Post-production and compositing techniques Image Enhancement with Photoshop (8 hours): - Introduction to Photoshop for design purposes - Editing and enhancing Rhino and Vray outputs - Creating visually striking presentations Both Option A and Option B provide comprehensive training in essential design software, with the choice between specialization in Sketchup (Option A) or a broader skill set with Rhino (Option B). Additionally, both options offer access to valuable resources for career preparation. When Can I Book this Training Course? Personalized 1-on-1 training sessions available, allowing for a tailored learning experience. Pre-book your preferred time slot from Monday to Saturday between 9 a.m. and 7 p.m. Alternatively, call 02077202581 to book over the phone. Training Duration 40-hour training program, with the flexibility to split hours based on your ideal learning schedule. Training Method Choose between in-person Face to Face or Live Online 1-on-1 training. Expect personalized attention, flexible learning pace, and individualized support throughout your training. Live Online sessions available over Zoom for added convenience. Enroll in our 1-on-1 Course Today! Comprehensive Training Program Overview Option A: AutoCAD (10 hours) Sketchup (16 hours) (Specializing in Planting Plans, Vegetation Plans, and Maps) Vray (4 hours) Photoshop (10 hours) Option B: AutoCAD (12 hours) Rhino (14 hours) Vray (6 hours) Photoshop (8 hours) Benefits of Option A: Diverse Skillset: Gain expertise in AutoCAD, Sketchup, Vray, and Photoshop for various design fields. Specialization: Focus on Planting Plans, Vegetation Plans, and Maps within Sketchup. Realistic Renderings: Learn Vray for compelling 3D renderings. Image Editing: Enhance images effectively with Photoshop. Career Readiness: Access resources like portfolio design assistance and mock interviews for job market readiness. Benefits of Option B: Versatile Expertise: Master AutoCAD, Rhino, Vray, and Photoshop for various design disciplines. Advanced 3D Modeling: Excel in complex designs with Rhino and 3ds Max. Quality Renderings: Create impressive 3D renderings with Vray. Image Editing Mastery: Perfect design concepts with Photoshop. Additional Training Course Benefits: Compatible with both Mac and Windows operating systems. Price Assurance for exceptional value. Flexible scheduling from Monday to Sunday, 9 am to 8 pm. Lifetime Email and Phone Support. Assistance in configuring your computer for seamless software installation. Referral Benefits, including special discounts for friend referrals and savings on group training courses.

Description: One of the hidden truths about the success of a business is the excellent and cooperative environment maintained by the employee. Excellent communication and friendly atmosphere can increase the rate of progress. It not only enhances the achievement ratios but also creates more opportunities for work and creativity. The aim of the Administrative Assistant Training Course is to help you understand the sense of professionalism and duty to your colleagues and institutions. Throughout the course, you will be able to know the different types of communication skills such as verbal, non-verbal or written skill, the importance of good communication skills including listening, questioning, and being more assertive. Finally, the course will teach you how to deal with stress and how to say no politely when necessary. Learning Outcomes: Understand the importance of professional presence on the job. How to self-manage to become more effective and efficient. Improved communications skills, including listening, questioning, and being more assertive. Increased effectiveness in recognizing and managing conflict, and dealing with difficult people. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. 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? Administrative Assistant Training Course 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 Administrative Assistant Training Course 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. Course Overview 00:05:00 Personal Best, Professional Best 00:15:00 Understanding Assertiveness 00:15:00 Improving Your Assertiveness Skills 00:15:00 Communication Skills 00:05:00 Asking and Listening 00:15:00 Non-Verbal Messages 00:15:00 Getting Ahead 00:15:00 Self-Management 00:15:00 Setting Goals 00:15:00 Working with Difficult People 00:15:00 Learning to Say No 00:15:00 Dealing with Stress 00:15:00 Mock Exam Mock Exam- Administrative Assistant Training Course 00:20:00 Final Exam Final Exam- Administrative Assistant Training Course 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Face to Face customised and bespoke.

Vray for 3ds max face to face training customised and bespoke.

Are you fascinated by the inner workings of computers and the ever-evolving world of technology? Are you seeking an exciting career path combining your passion for computer maintenance, cybersecurity, and cutting-edge advancements? Look no further! Our comprehensive "Computer Maintenance, PAT & Cyber Security" bundle will equip you with the skills and knowledge needed to thrive in this rapidly growing industry. The need for skilled computer maintenance professionals has never been greater in today's digital landscape. By joining our Computer Maintenance course, you'll gain valuable knowledge and practical skills to set you apart from the competition. Whether you aspire to work in IT helpdesk support, computer repair services, network administration, or cybersecurity, this course covers all the essential aspects to kick-start your career. Learning Outcomes: Develop expertise in building and configuring computers, enabling you to provide comprehensive computer maintenance services. Acquire advanced knowledge of network security, encryption, and cybersecurity principles, empowering you to protect networks and data from cyber threats. Master computer vision using C++ and OpenCV with GPU support, equipping you to work on cutting-edge projects like computer vision and augmented reality. Gain proficiency in troubleshooting Windows 10 issues, enhancing your skills as an IT helpdesk technician and enabling you to resolve complex software problems through our Computer Maintenance course. Obtain certification in Portable Appliance Testing (PAT), enabling you to ensure electrical safety in workplaces and comply with industry regulations. Our comprehensive computer maintenance course bundle is designed to equip you with the skills and knowledge necessary to excel in these in-demand fields. With a focus on practical learning and real-world applications, this bundle offers a unique opportunity to build a strong foundation and open doors to exciting career prospects. Computer Maintenance, PAT & Cyber Security Bundle Curriculum are: Building Your Own Computer Computer Networks Security from Scratch to Advanced Computer Vision By Using C++ and OpenCV with GPU support Advance Windows 10 Troubleshooting for IT HelpDesk Portable Appliance Testing (PAT) Internet of Things Cyber Security Awareness Training Encryption Take advantage of this incredible opportunity to enhance your skills and embark on a rewarding career in computer maintenance, PAT, and cyber security. Enrol now and take the first step towards a future filled with exciting opportunities and job prospects in this fast-paced and ever-evolving industry. CPD 80 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Computer Maintenance course is for: Aspiring computer maintenance professionals. IT helpdesk technicians. Individuals are interested in cybersecurity. Tech enthusiasts. Professionals in the electrical industry. Career path Our Computer Maintenance course will prepare you for a range of careers, including: Computer Maintenance Technician (£20K-£25K) Network Security Analyst (£30K-£45K) IT Helpdesk Technician (£20K-£30K) Cybersecurity Specialist (£40K-£70K+) Computer Vision Engineer (£40K-£60K) Electrical Safety Inspector (£25K-£35K) Certificates Certificate Of Completion Digital certificate - Included Certificate Of Completion Hard copy certificate - Included You will get a complimentary Hard Copy Certificate.

**10 FREE QLS Endorsed Certificates and Included with Lifetime Access** When goods move, the world moves — and behind every smooth transaction is someone skilled in purchasing and procurement. The Level 5 Diploma in Purchasing and Procurement – QLS Endorsed Course dives deep into what keeps supply chains ticking and costs under control. Whether it’s choosing the right suppliers, managing stock, or negotiating smarter deals, this course brings clarity to the often-chaotic world of sourcing and supply.From logistics to risk management, you'll explore the thinking behind smart procurement decisions used in businesses every day. With UK employers increasingly relying on professionals who understand purchasing inside-out, this course gives you the edge in a field where efficiency equals success. No warehouses, no forklifts — just sharp strategy, smarter buying, and skills that stay in demand. Purchasing and Procurement - QLS Endorsed Bundle Includes the following Courses Course 01: Diploma in Purchasing and Procurement at QLS Level 5 Course 02: Diploma in Accounting and Finance at QLS Level 5 Course 03: Award in Accounting & Bookkeeping at QLS Level 2 Course 04: Diploma in Financial Reporting at QLS Level 4 Course 05: Diploma in Business Analyst Training at QLS Level 5 Course 06: Diploma in Business and Management at QLS Level 5 Course 07: Award in Business Finance at QLS Level 2 Course 08: Diploma in Economics at QLS Level 5 Course 09: Diploma in Forex Trading at QLS Level 5 Course 10: Certificate in GDPR Training at QLS Level 3 Learning Outcomes Analyze financial data for informed decision-making. Implement effective procurement strategies for cost optimization. Demonstrate proficiency in accounting and bookkeeping principles. Navigate the complexities of financial reporting with precision. Master business analysis techniques for strategic insights. Develop strong managerial skills for effective leadership. Ensure GDPR compliance in business operations. Navigate the dynamic landscape of Forex trading confidently. Apply economic principles to drive business success. Attain a holistic understanding of business finance dynamics. Key Features 10 FREE QLS Endorsed Certificate Fully online, interactive course Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Transform your procurement game and witness the ripple effect it creates across your organization. Your journey to procurement excellence starts right here, right now. Ready to redefine your approach to purchasing and procurement? Immerse yourself in a comprehensive learning journey spanning accounting, finance, business analysis, and management. Elevate your expertise with a dynamic blend of theoretical insights and practical skills, meticulously designed to empower you in the intricate realms of financial reporting, business finance, and economics. Dive into the essentials of GDPR training and the intricacies of Forex trading. This bundle is your way to a holistic understanding of the business landscape, equipping you with the knowledge and skills demanded by today's competitive markets.Go on a learning marathon with learning outcomes that encompass strategic financial decision-making, adept business analysis, and proficient procurement strategies. Gain expertise in accounting, bookkeeping, and financial reporting, fostering a strong foundation for career advancement. Sharpen your analytical acumen, hone your financial management skills, and master the intricacies of GDPR compliance. This course is tailored for individuals seeking a multidimensional skill set, positioning them as valuable assets in a variety of professional domains. Certificate Once you've successfully completed your course, you will immediately be sent a CPD-accredited PDF certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). After successfully completing the assignment, learners will be able to order FREE QLS Endorsed certificate for Each Courses. CPD 50 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring business professionals Finance enthusiasts Individuals aiming for career diversification Those seeking a comprehensive understanding of procurement Professionals pursuing mastery in financial reporting Anyone aspiring to excel in business analysis Individuals interested in GDPR compliance Those looking to explore the intricacies of Forex trading Career path Financial Analyst Procurement Specialist Business Analyst Accounting Manager Forex Trader Economic Analyst Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included Hardcopy Certificate (UK Delivery): For those who wish to have a physical token of their achievement, we offer a high-quality, printed certificate. This hardcopy certificate is also provided free of charge. However, please note that delivery fees apply. If your shipping address is within the United Kingdom, the delivery fee will be only £3.99. Hardcopy Certificate (International Delivery): For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. QLS Endorsed Certificate Hard copy certificate - Included

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this

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.

Boost your career prospects with the Excel Courses - Build Excel Skills Mini Bundle, tailored to make you highly hireable in industries relying on data, finance, administration, and HR. Master MS Excel, streamline workflows with Data Entry, sharpen your analytical edge through Mathematics, understand payroll essentials with Payroll, and enhance database skills using MS Access. This bundle delivers exactly what employers seek in candidates ready for operational and office-based roles. Whether you're aiming for roles in finance, administration, or HR, the combination of MS Excel, Data Entry, Mathematics, Payroll, and MS Access makes your profile stand out in a competitive job market. Don’t miss the chance to skill up and secure the position you deserve. Description The workplace demands professionals who can navigate spreadsheets, databases, and payroll systems efficiently. This bundle’s focus on MS Excel guarantees your ability to handle complex data, while Data Entry sharpens your speed and accuracy—skills recruiters value immensely. Employers look for candidates with strong foundations in Mathematics to ensure precise calculations, and with Payroll knowledge, you show readiness for HR or finance administration. Additionally, MS Access adds a critical edge for managing and querying databases, rounding out your technical toolkit. This is more than just learning tools—it’s about becoming a candidate employers actively pursue. Excel, Data Entry, Mathematics, Payroll, and MS Access are the must-have skills in today’s office jobs. Seize this bundle before your competition does. FAQ Q: What job roles does this bundle target? A: Roles in administration, finance support, HR assistant, data entry clerk, and office operations where MS Excel, Data Entry, Mathematics, Payroll, and MS Access are essential. Q: Can this bundle help with payroll processing jobs? A: Yes, the inclusion of Payroll ensures you're equipped for finance and HR roles involving salary and benefits management. Q: Why is Mathematics important here? A: Precise calculations and numerical confidence are crucial across all data and payroll-related tasks. Q: Does MS Access really add value? A: Absolutely. MS Access skills set you apart for roles that require database management beyond spreadsheets. Q: Will this help me get hired faster? A: Yes, hiring managers specifically look for candidates proficient in MS Excel, Data Entry, Mathematics, Payroll, and MS Access. Q: Is this bundle better than buying courses separately? A: Definitely. You get all five skills—MS Excel, Data Entry, Mathematics, Payroll, and MS Access—in one streamlined, affordable package.