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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.

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Learning Outcomes of Office Management Implement effective office management strategies and administrative best practices. Develop proficiency in minute-taking and accurate record-keeping. Establish robust document control systems for efficient information management. Foster strong team collaboration and effective communication skills. Analyze compliance and risk management principles for organizational success. Implement strategies to overcome organizational chaos and enhance productivity. Why Choose Us? Get a Free CPD Accredited Certificate upon completion of Office Management Get a free student ID card with Office Management Training program (£10 postal charge will be applicable for international delivery) The Office Management is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Get Lifetime access to the Office Management course materials The Office Management comes with 24/7 tutor support Start your learning journey straightaway! *** Course Curriculum *** QLS Course 01: Office Management and Administration Diploma Personal Assistant Admin Support Organisational Skills Telephone Etiquette Business Writing Time Management Body Language and Effective Communication Meeting Management QLS Course 02: Minute Taking Executive Training Level 5 Module 01: Introduction To Minute Writing Module 02: Preparation For Minute Taking Module 03: The Meeting Structure Module 04: Minute Meeting, Decision And Action Module 05: Roles And Responsibility Of Minute Taker Module 06: Tips For Minute Taking Module 07: Technology In Minute Taking Module 08: Building Confidence QLS Course 03: Document Control Module 1: Introduction To Document Control Module 2: Principles Of Document Control And Elements Of Document Control Environment Module 3: Document Control Lifecycle Module 4: Document Control Strategies And Instruments Module 5: Document Management Module 6: Quality Assurance And Controlling Quality Of Documents Module 7: Project Document Control Module 8: Electronic Document Management Systems And Soft Copy Documentation =========>>>>> And 10 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*13 = £168) QLS Endorsed Hard Copy Certificate: Free (For The 3 QLS Course: Previously it was £119*3 =357) CPD 450 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Professionals seeking to enhance their office management and administration skills. Individuals interested in developing expertise in minute-taking and executive training. Document control professionals aiming to strengthen their knowledge and skills. Team leaders and managers looking to improve team dynamics and communication. Requirements You will not need any prior background or expertise to enrol in this bundle. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Office Manager: £25,000 - £45,000 per year Executive Assistant: £28,000 - £45,000 per year Document Controller: £23,000 - £40,000 per year Compliance Officer: £30,000 - £50,000 per year Team Leader: £25,000 - £40,000 per year Communications Specialist: £25,000 - £45,000 per year Certificates Certificate in Document Control at QLS Level 3 Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee. Certificate in Office Management at QLS Level 3 Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee. CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. CPD Accredited Hard Copy Certificate Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee. Diploma in Minute Taking at QLS Level 5 Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee.

24-Hour Knowledge Knockdown! Prices Reduced Like Never Before Have you ever considered a career in law but don't want to be a solicitor? The legal field offers exciting opportunities for paralegals, particularly those specialising in conveyancing and document control. Recent studies show a growing demand for conveyancing paralegals in the UK, with an estimated 20% increase in job openings expected over the next five years. Are you interested in working on property transactions and ensuring legal documents are accurate and compliant? If so, this comprehensive Paralegal, Conveyancing and Document Control bundle could be the perfect starting point for your legal career. With each of the three QLS-endorsed courses, receive a tangible testament to your newfound expertise in the form of a hardcopy certificate. This is a stepping stone to a promising future, embellishing your professional profile with an accredited validation of your skills. Embrace the chance to immerse yourself in this knowledge-rich bundle and pave your way to success. Key Features of the Paralegal, Conveyancing and Document Control - QLS Endorsed Certificate Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Paralegal, Conveyancing and Document Control - QLS Endorsed Certificate bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Paralegal Training QLS Course 02: Conveyancing- Online Diploma Course QLS Course 03: Document Control 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: UK Employment Law Course 02: Contract Management Course Course 03: Internal Audit Skills Course 04: Finance: Financial Investigator Course 05: Anti-Money Laundering (AML) Training In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Paralegal, Conveyancing and Document Control - QLS Endorsed Certificate courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes of Paralegal, Conveyancing and Document Control: Develop a comprehensive understanding of paralegal practices and procedures. Gain a deep understanding of the conveyancing process and related legal obligations. Understand how to implement and maintain effective document control systems. Learn the intricacies of UK Employment Law and its practical applications. Get a solid grasp of the best practices in contract management and internal auditing. Gain the ability to unravel financial investigations and understand anti-money laundering processes. Acquire a holistic knowledge of the legal sector, contributing to overall professional growth. Why Choose Us? Get a 3 Free QLS Endorsed Certificate upon completion of Paralegal & Conveyancing Get a free student ID card with Paralegal & Conveyancing Training program (£10 postal charge will be applicable for international delivery) The Paralegal & Conveyancing is affordable and simple to understand This Paralegal & Conveyancing is entirely online, interactive lesson with voiceover audio Get Lifetime access to the Paralegal & Conveyancing course materials The Paralegal & Conveyancing comes with 24/7 tutor support Start your learning journey straightaway with our Paralegal & Conveyancing! *** Course Curriculum *** QLS Course 01: Paralegal Training Module 01: Understanding The Concept Of Paralegal Module 02: Key Legal Terminology Module 03: Effective Communication Skills For Paralegals Module 04: The Legal Workplace & Professionals Module 05: Law & Legal Systems Module 06: Contract & Business Law Module 07: Property Law Module 08: Wills, Probate, Estate Law Module 09: Criminal Law Module 10: Common Paralegal Legal Matters Module 11: Human Rights Module 12: Conflict And Conflict Resolution Module 13: Professional Conduct And Ethics Of Paralegals Module 14: Mandatory Knowledge Fields And Survival Tips For Paralegals QLS Course 02: Conveyancing- Online Diploma Course Module 01: Introduction To Conveyancing Module 02: Key Conveyancing Fundamentals Module 03: Property Law & Conveyancing Practice Module 04: Land Registry Updates And Law Module 05: Law Of Contract Module 06: Landlord And Tenant Module 07: Standard Conveyancing Transactions Module 08: Understanding Accounting Procedures For Conveyancing Transactions Module 09: Preparing Legal Documents Module 10: Taxation Issues For Conveyancers QLS Course 03: Document Control Module 1: Introduction To Document Control Module 2: Principles Of Document Control And Elements Of Document Control Environment Module 3: Document Control Lifecycle Module 4: Document Control Strategies And Instruments Module 5: Document Management Module 6: Quality Assurance And Controlling Quality Of Documents Module 7: Project Document Control Module 8: Electronic Document Management Systems And Soft Copy Documentation =========>>>>> And 10 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your QLS Endorsed Certificates and CPD Accredited Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*11 = £143) QLS Endorsed Hard Copy Certificate: Free (For The 3 QLS Courses: Previously it was £357) CPD 260 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This Paralegal, Conveyancing and Document Control bundle is ideal for: Career changers Paralegal aspirants Legal secretaries Property professionals Requirements You will not need any prior background or expertise to enrol in this Paralegal, Conveyancing and Document Control bundle. Career path After completing this Paralegal, Conveyancing and Document Control bundle, you are to start your career or begin the next phase of your career. Paralegal Conveyancing Paralegal Legal Assistant Certificates Certificate in Document Control at QLS Level 3 Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee. CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. Diploma in Conveyancing at QLS Level 5 Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee. Diploma in Paralegal at QLS Level 5 Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee.

Register on the Excel for Data Analytics today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Excel for Data Analytics is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Excel for Data Analytics Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Excel for Data Analytics, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Module 01: Introduction to the World of Data Introduction to the World of Data 01:00:00 Module 02: Basics of Data Analytics Basics of Data Analytics 00:40:00 Module 03: Excel for Data Analytics Excel for Data Analytics 01:20:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Course Overview Explore the fascinating history of Glasgow's railway age with the The Birth of the Railway Age in Glasgow Course course. This course would suit rail buffs and those interested in the history of railways in Great Britain.  Through this course, you will journey through Glasgow's Monkland Canal, once used to bring coal from the mining regions of Monklands to Glasgow. Next stop, you will explore The Monkland and Kirkintilloch Railway, which was designed to allow cheaper transport of coal to market, stretching ten and a half miles long. Then it's all onboard again, as you delve into the rich history of the railway works in Springburn. Final stop -The Ballachulish railway on the southern shore of Loch Leven, which was once converted into a medical centre. If you are a rail or history buff, work in the rail industry, or want to enrich your knowledge of the history of Glasgow and its coal railway age, this course is packed with incredible facts and information that will leave you wanting to know more about this incredible and formative period in history. This best selling The Birth of the Railway Age in Glasgow Course has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth The Birth of the Railway Age in Glasgow Course is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The The Birth of the Railway Age in Glasgow Course is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The The Birth of the Railway Age in Glasgow Course is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the The Birth of the Railway Age in Glasgow Course, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the The Birth of the Railway Age in Glasgow Course will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the The Birth of the Railway Age in Glasgow Course to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.