3849 Analyst courses in Swanscombe delivered On Demand

Dive into the heart of Big Data Infrastructure, exploring storage systems, distributed file frameworks, and processing paradigms. This course provides a comprehensive understanding of key components like HDFS, Apache Spark, and Cassandra, offering insights into their architecture, use cases, and real-world applications. This course is a deep dive into the complex landscape of Big Data Infrastructure. From unravelling the architecture of Apache Spark to dissecting the benefits of distributed file systems, participants gain expertise in assessing, comparing, and implementing various Big Data storage and processing systems. Scalability, fault-tolerance, and industry-specific case studies add practical depth to theoretical knowledge. After the successful completion of this course, you will be able to: Understand the Components of Big Data Infrastructure, Including Storage Systems, Distributed File Systems, and Processing Frameworks. Identify the Characteristics and Benefits of Distributed File Systems Such as Hadoop Distributed File System (H.D.F.S). Describe the Architecture and Capabilities of Apache Spark and its Role in Big Data Processing. Recognise the Use Cases and Benefits of Apache Cassandra as a Distributed N..O.S.Q.L Database. Compare and Contrast Different Big Data Storage and Processing Systems Such as Hadoop, Spark, and Cassandra. Understand the Scalability and Fault-tolerance Mechanisms Used in Big Data Infrastructure, Such as Sharding and Replication. Appreciate the Challenges Associated with Deploying and Managing Big Data Infrastructure, Such as Hardware and Software Configuration and Security Considerations. Explore the intricacies of Big Data Infrastructure, from understanding storage systems to unraveling the nuances of distributed file frameworks and processing engines. Gain a comprehensive view of scalability, fault-tolerance mechanisms, and industry-specific challenges through engaging case studies. Equip yourself to navigate the dynamic landscape of Big Data with confidence and expertise. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Big Data Infrastructure Self-paced pre-recorded learning content on this topic. Big Data Infrastructure Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be an added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone who is eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Big Data Infrastructure Engineer Hadoop Administrator Spark Developer Cassandra Database Administrator Big Data Solutions Architect Data Infrastructure Manager NoSQL Database Analyst Big Data Consultant Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Efficient management of accounts receivable is vital for maintaining a healthy cash flow and ensuring the financial stability of any organisation. This course offers a thorough exploration of the essential components involved in overseeing outstanding customer payments. From setting effective credit policies to optimising billing and invoicing processes, participants will gain a clear understanding of how to manage receivables with confidence and precision. Additionally, the course examines a variety of collection strategies designed to enhance recovery rates while maintaining positive customer relationships. It also covers the critical tasks of cash application and reconciliation, ensuring that every payment is accurately recorded and accounted for. Finally, learners will stay ahead by exploring the latest technologies and trends transforming accounts receivable management today, equipping them with the knowledge to adapt to evolving business environments seamlessly. 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 Accounts Receivable Management Module 02 : Credit Policies and Procedures Module 03 : Billing and Invoicing Module 04 : Receivables Collection Strategies Module 05 : Cash Application and Reconciliation Module 06 : Accounts Receivable Technologies and Trends Learning Outcomes: Analyse and implement efficient credit policies. Streamline billing and invoicing procedures. Develop effective receivables collection strategies. Master the art of cash application and reconciliation. Stay updated with the latest Accounts Receivable technologies and trends. Enhance your financial management skills for a competitive edge. 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? Finance professionals Business owners and managers Accountants Financial analysts Administrative professionals Anyone interested in financial management Graduates seeking to enhance their financial knowledge Those looking to advance their career in finance Career path Credit Manager Financial Analyst Accounts Receivable Specialist Finance Manager Business Owner Accounting Clerk 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.

Level 5 QLS Endorsed | 150 CPD Points| +Gifts: QLS Certificate + PDF Certificate | Lifetime Access| 24/7 Learner Support

Level 4 QLS Endorsed Diploma | 120 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Do you want to master the essential mathematical skills for data science and machine learning? Do you want to learn how to apply statistics and probability to real-world problems and scenarios? If yes, then this course is for you! In this course, you will learn the advanced concepts and techniques of statistics and probability that are widely used in data science and machine learning. You will learn how to describe and analyse data using descriptive statistics, distributions, and probability theory. You will also learn how to perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data. You will gain hands-on experience with practical exercises and projects using Python and R. Learning Outcomes By the end of this course, you will be able to: Apply descriptive statistics, distributions, and probability theory to summarise and visualise data Perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data Use Python and R to implement statistical and machine learning methods Interpret and communicate the results of your analysis using appropriate metrics and visualisations Solve real-world problems and scenarios using statistics and probability Why choose this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course for? This course is for anyone who wants to learn the advanced concepts and techniques of statistics and probability for data science and machine learning. This course is suitable for: Data scientists, machine learning engineers, and analysts who want to enhance their skills and knowledge Students and researchers who want to learn the mathematical foundations of data science and machine learning Professionals and managers who want to understand and apply data-driven decision making Hobbyists and enthusiasts who want to explore and learn from data Anyone who loves statistics and probability and wants to challenge themselves Career path Data Scientist (£35,000 - £55,000) Machine Learning Engineer (£40,000 - £60,000) Statistician (£35,000 - £55,000) Data Analyst (£40,000 - £60,000) Business Intelligence Analyst (£45,000 - £65,000) Senior Data Analyst (£50,000 - £70,000) Prerequisites This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £135 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Section 01: Let's get started Welcome! 00:02:00 What will you learn in this course? 00:06:00 How can you get the most out of it? 00:06:00 Section 02: Descriptive statistics Intro 00:03:00 Mean 00:06:00 Median 00:05:00 Mode 00:04:00 Mean or Median? 00:08:00 Skewness 00:08:00 Practice: Skewness 00:01:00 Solution: Skewness 00:03:00 Range & IQR 00:10:00 Sample vs. Population 00:05:00 Variance & Standard deviation 00:11:00 Impact of Scaling & Shifting 00:19:00 Statistical moments 00:06:00 Section 03: Distributions What is a distribution? 00:10:00 Normal distribution 00:09:00 Z-Scores 00:13:00 Practice: Normal distribution 00:04:00 Solution: Normal distribution 00:07:00 Section 04: Probability theory Intro 00:01:00 Probability Basics 00:10:00 Calculating simple Probabilities 00:05:00 Practice: Simple Probabilities 00:01:00 Quick solution: Simple Probabilities 00:01:00 Detailed solution: Simple Probabilities 00:06:00 Rule of addition 00:13:00 Practice: Rule of addition 00:02:00 Quick solution: Rule of addition 00:01:00 Detailed solution: Rule of addition 00:07:00 Rule of multiplication 00:11:00 Practice: Rule of multiplication 00:01:00 Solution: Rule of multiplication 00:03:00 Bayes Theorem 00:10:00 Bayes Theorem - Practical example 00:07:00 Expected value 00:11:00 Practice: Expected value 00:01:00 Solution: Expected value 00:03:00 Law of Large Numbers 00:08:00 Central Limit Theorem - Theory 00:10:00 Central Limit Theorem - Intuition 00:08:00 Central Limit Theorem - Challenge 00:11:00 Central Limit Theorem - Exercise 00:02:00 Central Limit Theorem - Solution 00:14:00 Binomial distribution 00:16:00 Poisson distribution 00:17:00 Real life problems 00:15:00 Section 05: Hypothesis testing Intro 00:01:00 What is a hypothesis? 00:19:00 Significance level and p-value 00:06:00 Type I and Type II errors 00:05:00 Confidence intervals and margin of error 00:15:00 Excursion: Calculating sample size & power 00:11:00 Performing the hypothesis test 00:20:00 Practice: Hypothesis test 00:01:00 Solution: Hypothesis test 00:06:00 T-test and t-distribution 00:13:00 Proportion testing 00:10:00 Important p-z pairs 00:08:00 Section 06: Regressions Intro 00:02:00 Linear Regression 00:11:00 Correlation coefficient 00:10:00 Practice: Correlation 00:02:00 Solution: Correlation 00:08:00 Practice: Linear Regression 00:01:00 Solution: Linear Regression 00:07:00 Residual, MSE & MAE 00:08:00 Practice: MSE & MAE 00:01:00 Solution: MSE & MAE 00:03:00 Coefficient of determination 00:12:00 Root Mean Square Error 00:06:00 Practice: RMSE 00:01:00 Solution: RMSE 00:02:00 Section 07: Advanced regression & machine learning algorithms Multiple Linear Regression 00:16:00 Overfitting 00:05:00 Polynomial Regression 00:13:00 Logistic Regression 00:09:00 Decision Trees 00:21:00 Regression Trees 00:14:00 Random Forests 00:13:00 Dealing with missing data 00:10:00 Section 08: ANOVA (Analysis of Variance) ANOVA - Basics & Assumptions 00:06:00 One-way ANOVA 00:12:00 F-Distribution 00:10:00 Two-way ANOVA - Sum of Squares 00:16:00 Two-way ANOVA - F-ratio & conclusions 00:11:00 Section 09: Wrap up Wrap up 00:01:00 Assignment Assignment - Statistics & Probability for Data Science & Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

The aim of the course on Trade Distortion and Marketing Barriers is to provide students with an in-depth understanding of the impact of trade distortions and marketing barriers on international trade. Through the course, students will learn about the various types of trade barriers and the factors that contribute to their emergence. They will also explore the effects of these barriers on businesses and consumers, and strategies for overcoming them to facilitate international trade. After the successful completion of the course, you will be able to learn about the following. Understand the impact of tariffs and non-tariff barriers on international trade. Identify different modes of transportation and their advantages and disadvantages for businesses. Analyze the benefits and drawbacks of protectionist policies in international trade. Evaluate the importance of cargo or transportation insurance in managing risks associated with international trade. Explain the roles and responsibilities of freight forwarders and customs brokers in international trade. Explore the foreign exchange market and exchange rate systems to better understand their impact on international trade. The course on Trade Distortion and Marketing Barriers provides a comprehensive overview of the challenges faced by businesses operating in an increasingly globalized marketplace. Students will learn about the various forms of trade barriers, including tariffs and non-tariff barriers, and how they can impact international trade. The course also covers the different modes of transportation, cargo insurance, freight forwarding, and customs brokerage, as well as the role of the foreign exchange market in international trade. The course on Trade Distortion and Marketing Barriers aims to provide a comprehensive understanding of the various marketing barriers and trade distortions that exist in the global market. It is designed to enable students to identify and analyze the economic, political, and social factors that create these barriers and their impact on international trade. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Trade Distortion and the Marketing Barriers Self-paced pre-recorded learning content on this topic. Trade Distortion and the Marketing Barriers Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. International Trade Analyst Trade Compliance Specialist Customs Broker Global Supply Chain Manager Import/Export Coordinator Trade Policy Consultant Foreign Trade Zone Administrator Logistics Manager Global Trade Compliance Manager International Marketing Manager. Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

CSR Ethics in Risk Management equips professionals with the tools to navigate the complex landscape of ethical considerations and risk mitigation strategies in business. From understanding risk management fundamentals to evaluating the impact of ethical conduct, this course empowers individuals to foster a culture of responsibility and sustainability within their organizations. After the successful completion of this course, you will be able to: Explore the core elements of effective risk management systems and their practical application. Gain insights into Corporate Social Responsibility and its evolving role in contemporary business practices. Recognize the pivotal role of ethics in organizational culture and its impact on workplace behavior. Learn to apply STEP analysis as a tool to assess external factors influencing business environments. Comprehend the stages involved in managing CSR-related risks within an organizational context. Identify and understand the benefits stemming from ethical business practices and their broader impact. Develop skills to evaluate and mitigate the negative repercussions of a lack of ethical conduct in business settings. This course provides a holistic perspective on integrating CSR, ethics, and risk management. Participants will engage in practical exercises, case studies, and discussions to reinforce theoretical concepts. By the end of the course, individuals will possess the knowledge and skills necessary to navigate ethical dilemmas, contribute to effective risk management, and champion CSR initiatives within their organizations. Uncover the synergy between Corporate Social Responsibility (CSR) and Ethics in Risk Management. This course provides practical insights, linking ethical considerations to effective risk mitigation. Explore real-world applications and enhance your ability to integrate CSR principles into risk strategies for responsible business practices. Elevate your expertise in socially conscious risk management. Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. CSR Ethics in Risk Management Self-paced pre-recorded learning content on this topic. CSR Ethics in Risk Management Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. CSR Risk Manager Ethical Compliance Officer Corporate Sustainability Analyst Business Ethics Consultant Risk Assessment Specialist CSR Strategist Workplace Ethics Coordinator Corporate Responsibility Advisor Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Unlock the secrets to efficient inventory management and transform your business operations with our comprehensive training programme. Imagine mastering the art of balancing stock levels, reducing waste, and maximising profits. Our meticulously crafted modules cover every facet of inventory, from understanding the various types to ensuring pinpoint accuracy in your warehouse. This is your opportunity to learn the strategies and techniques that drive success for industry leaders. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access Our engaging and detailed course guides you through the essential elements of inventory management. Discover the crucial roles within the supply chain and the best practices for setting up an efficient warehouse. Learn how to predict demand accurately and streamline your outbound processes. This training is designed to equip you with the knowledge and tools you need to elevate your inventory management skills, ensuring your business runs smoother and more profitably. Dive into this transformative learning experience and see the tangible benefits it can bring to your operations. Course Curriculum Module 01: What Is Inventory? Module 02: Types Of Inventory Module 03: Key Players Module 04: Setting Up The Warehouse Module 05: Identifying Demand Module 06: Maintaining Inventory Accuracy Module 07: The Outbound Process Learning Outcomes: Understand the fundamental concepts and importance of inventory. Identify and distinguish between different types of inventory. Recognise key players in the inventory management process. Learn to set up an efficient warehouse system. Determine methods for accurately identifying inventory demand. Master techniques for maintaining inventory accuracy and outbound processes. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring warehouse managers and coordinators. Individuals new to inventory management. Business owners managing stock and supplies. Supply chain enthusiasts seeking foundational knowledge. Retail workers aiming to improve stock control. Career path Inventory Manager Warehouse Supervisor Stock Control Analyst Supply Chain Coordinator Logistics Manager Purchasing Agent Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Getting Started The Level 7 Diploma in Logistics and Supply Chain Crisis Management will require learners to critically assess a broad spectrum of occupational health and safety implementation standards, risk assessment techniques, and models. Additionally, they will be expected to apply data mining methods in practical scenarios. The Qualifi Level 7 Diploma in Logistics and Supply Chain Crisis Management is designed to offer learners the following opportunities: Attain a recognized qualification from an internationally acclaimed awarding organization. Engage with a curriculum enriched with up-to-date content pertinent to the contemporary business landscape. Cultivate fresh skills and knowledge that can be promptly applied, particularly in the domain of supply chain risk and resilience management. Prepare for advanced leadership and be taught by esteemed academic and practitioner experts who possess practical experience across various logistics and supply chain sectors.   Key Benefits Assess and provide critical evaluations of various approaches and implementation standards relevant to logistics and supply chain operations. Appraise the significance of strategic leadership in the realm of supply chain risk management. Examine the consequences of globalization on the extended logistics and supply chain operations of organizations. Demonstrate an understanding of sustainability principles and their application in supply chain leadership. Analyse problem-solving techniques tailored to the specific demands of supply chain crisis management and resilience development. Effectively manage strategic risks and foster resilience within a global supply chain context. Key Highlights Are you a practicing logistics professional seeking a deeper understanding of the industry and aiming to advance into senior positions? Then, the Qualifi Level 7 Diploma in Logistics and Supply Chain Crisis Management is the ideal starting point for your career journey. This course will help you build a career and prepare individuals for future roles in the health and social care sector. Remember, the assessment for this qualification is based on assignments only, so you don't need to worry about taking exams. 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 materials, pathway materials, and study guides developed by our Qualifi-approved 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 offer comprehensive tutor support through our dedicated support desk. If you choose the blended learning option, you can also enjoy live sessions with an assigned tutor, which you can book at your convenience.   Career Pathways Upon completion of the Level 7 Diploma in Logistics and Supply Chain Crisis Management, graduates may pursue various career paths in education and training, such as: Logistic Manager, with an average salary of £49,453 per year Supply Chain Analyst, with an average salary of £35,380 per year Inventory Manager, with an average salary of £32,000 per year Warehouse Manager, with an average salary ranging from £50,000 to £60,000 per year   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 Assignment based Assessment No exam Entry Requirements The qualification has been intentionally structured to promote accessibility, eliminating artificial obstacles that may hinder entry and advancement. Prospective learners will gain admission through a center interview if they meet at least one of the following criteria: Possession of a Level 6 qualification in a related field. Holding a Bachelor's degree. Accumulating a minimum of 3 years of managerial work experience that substantiates current and pertinent industry expertise. Progression Upon successful completion of the QUALIFI Level 7 Diploma in Logistics and Supply Chain Crisis Management, learners have multiple avenues for progression, including: Advancing to a QUALIFI Level 7 and 8 Diploma. Direct entry into employment within a relevant professional field. Pursuing a suitable dissertation-only program for a Master's Degree in collaboration with one of our university partnerships 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- Critical Issues - Strategic Framework for Understanding Risk and Resilience Building Reference No : M/618/2775 Credit : 20 || TQT : 200 The primary aim of this unit is to empower learners to recognize, coordinate, and execute the necessary activities and procedures essential for devising logistics and supply chain strategies. UNIT2- Engineering Systems Views of Supply Chain Resilience Reference No : T/618/2776 Credit : 20 || TQT : 200 In this unit, learners will explore the process of constructing systems views in conjunction with relevant theories and practices. UNIT3- Sector-Specific Supply Chain Resilience Management Reference No : A/618/2777 Credit : 20 || TQT : 200 This unit will facilitate learners in comprehending the dynamics of comprehensive supply chains and the managerial decisions necessary to uphold risk mitigation strategies and resilience planning. UNIT4- Ethical and Social Supply Chain Management Reference No : F/618/2778 Credit : 20 || TQT : 200 The primary objective of this unit is to afford learners the chance to assess the fundamental concepts of ethical considerations and social capital within the context of contemporary global supply chains. UNIT5- Critical Issues - Supply Chain Crime, Corruption, and Terrorism Reference No : J/618/2779 Credit : 20 || TQT : 200 This unit is structured to direct learners' focus toward strategic concerns that require attention within the logistics and supply chain industry, with a particular emphasis on concealed elements like crime, corruption, and terrorism. UNIT6- Critical Issues - Management of Supply Chains During Natural Disasters, Climate Change, and Pandemics Reference No : A/618/2780 Credit : 20 || TQT : 200 The objective of this unit is to engage in a critical discussion and reflection on contemporary and emerging challenges associated with managing operations in the aftermath of climate change, natural disasters, and pandemic-type events. 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.

24-Hour Knowledge Knockdown! Prices Reduced Like Never Before Did you know that Python is the fastest-growing programming language in the world? In the UK alone, the demand for Python developers has grown by a staggering 38% in the last year! If you're not one of them, now is the perfect time to get on board. And with our Diploma in Python Programming bundle, you can do just that. This diploma takes you on a structured learning journey, starting with the fundamentals of Python programming. You'll master essential concepts like data structures, control flow, and functions. As you progress, you'll delve into advanced topics like data science, machine learning, and even explore its application in specialised fields like spatial analysis. By the program's end, you'll be proficient in writing Python scripts to solve complex problems, analyse data, and automate tasks. With a single payment, you will gain access to Python Programming course, including 10 premium courses, a QLS Endorsed Hardcopy certificate (for the title course) and 11 PDF certificates for Absolutely free. This Diploma in Python Programming Bundle Package includes: Main Course: Diploma in Python Programming at QLS Level 5 10 Premium Additional CPD QS Accredited Courses - Course 01: Learn Programming with Python Course 02: Python Data Science Course 03: An Introduction to Graph Theory Course 04: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 05: Level-3 Machine Learning Course with Python Course 06: Learn to Use Python for Spatial Analysis in ArcGIS Course 07: Higher Order Functions in Python - Level 03 Course 08: Easy to Advanced Data Structures Course 09: Introduction to Data Analysis Course 10: Business Intelligence and Data Mining Diploma With so much valuable content included, it's no wonder that this bundle is quickly becoming one of our most popular offerings. So why wait? Enrol today and start your journey towards becoming a Python expert. Learning Outcomes of Python Programming Grasp fundamental Python concepts like variables, data types, operators, and control flow. Master essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualization. Gain expertise in data analysis techniques and explore machine learning algorithms using Python. Implement Python for cloud deployment using platforms like AWS or Azure (course dependent). Utilise Python for spatial data analysis with ArcGIS (course dependent). Develop proficiency in writing clean, efficient, and maintainable Python code. Why Choose Us? Get a Free QLS Endorsed Certificate upon completion of Python Programming Get a free student ID card with Python Programming Training program (£10 postal charge will be applicable for international delivery) The Python Programming is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Get Lifetime access to the Python Programming course materials The Python Programming comes with 24/7 tutor support Start your learning journey straightaway! *** Course Curriculum *** Main Course: Diploma in Python Programming at QLS Level 5 Unit 01: Introduction To Python Programming Unit 02: Getting Started With Python Unit 03: Conditional Branching With Python Unit 04: Importing External/Internal Library In Python Unit 05: Project Rock Paper And Scissors Unit 06: Strings Operation In Python Unit 07: Date And Time In Python Unit 08: File Handling, Read And Write Using Python Unit 09: Data Storage Structures, Tuple, List And Dictionary Unit 10: Writing User Functions In Python Unit 11: Sending Mail Unit 12: Import Tricks In Python Unit 13: Import Operating System And Platform Unit 14: Exceptions Handling In Python Unit 15: Installing Packages And Scheduling In Python Unit 16: Data Base In Python Using Sqlite Unit 17: Running Program From Command Prompt And Jupyter Notebook Unit 18: Conclusion Course 01: Learn Programming with Python Module 01 A Installing Python FREE Documentation Command Line Variables Simple Python Syntax Keywords Import Module Module 02 Additional Topics If Elif Else Iterable For Loops Execute Exceptions Module 03 Data Types Number Types More Number Types Strings More Strings Files Lists Dictionaries Tuples Sets Course 02: Python Data Science Unit 01: Introduction To Python Data Science Module 01: Introduction to Python Data Science Module 02: Environment Setup Unit 02: Data Cleaning Packages Module 01: Numpy package for calculations Module 02: Panda package for Data cleaning Unit 03: Data Visualization Packages Module 01: Matplotlib Data Visualization Part 1 Module 02: Matplotlib Data Visualization Part 2 =========>>>>> And 8 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 Title Course: Previously it was £119) CPD 255 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: Individuals who want to become proficient Python programmers. Professionals who want to enhance their programming skills. Students who want to pursue a career in data science or machine learning. Anyone interested in learning Python programming language. Requirements There is no formal requirements to enrol in this course. Career path This bundle will help you to develop your knowledge and skills to pursue different careers, such as Junior Python Developer: £25,000 - £40,000 per year. Data Analyst: £26,000 - £50,000 per year. Machine Learning Engineer: £40,000 - £80,000 per year. Data Scientist: £45,000 - £85,000 per year. Certificates 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 QS Accredited Certificate Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee. Diploma in Python Programming at QLS Level 5 Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee.