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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.

24 Hours Left! Don't Let Year-End Deals Slip Away - Enrol Now! Imagine yourself as a master of the internal audit world, able to navigate any challenge with ease and confidence. You're in control, armed with the latest knowledge and techniques, to stay ahead of the curve. With the help of this Internal Audit Skills bundle, it can be possible. The heart of this bundle is the Internal Audit Skills course, endorsed by the prestigious QLS, which will equip you with the foundational knowledge necessary to excel in this dynamic field. And as a special bonus, you'll receive a QLS hardcopy certificate free of charge upon completion of this course, a valuable credential recognised worldwide. But that's not all. You'll also gain advanced insights and expertise with courses such as Corporate Risk and Crisis Management, Financial Analysis for Finance Reports, and GDPR. These courses are all CPD-QS accredited, meaning they're recognised by employers as an industry benchmark for continuing professional development. With a total of 11 courses to choose from, you'll be able to tailor your learning to suit your specific interests and career goals. Whether you're a seasoned professional looking to enhance your skills or a newcomer to the field, the Internal Audit Skills bundle is the ultimate resource for anyone looking to succeed in the world of internal auditing and compliance. Enrol right now! This Internal Audit Skills Bundle Package includes: Course 01: Diploma in Internal Audit Skills at QLS Level 5 10 Premium Additional CPD QS Accredited Courses - Course 01: Internal Compliance Auditor Course 02: Corporate Risk And Crisis Management Course 03: HR Audit Advanced Certificate Course 04: Financial Investigator Course 05: Financial Analysis for Finance Reports Course 06: Finance: Financial Risk Management Course 07: Anti Money Laundering and Fraud Management Course 08: Diploma in Financial statement Analysis Course 09: Tax Accounting Course 10: GDPR Why Prefer This Internal Audit Skills Bundle? You will receive a completely free certificate from the Quality Licence Scheme Option to purchase 10 additional certificates accredited by CPD Get a free Student ID Card - (£10 postal charges will be applicable for international delivery) Free assessments and immediate success results 24/7 Tutor Support After taking this Internal Audit Skills bundle courses, you will be able to learn: Develop a comprehensive understanding of internal audit and compliance Enhance your skills in risk management, crisis management, and financial analysis Gain advanced knowledge in GDPR and anti-money laundering practices Acquire a broad knowledge base in tax accounting, financial statement analysis, and financial risk management Develop an understanding of HR audit practices Gain a QLS hardcopy certificate and CPD-QS accredited credentials Expand your professional network and increase your employability in the field ***Curriculum breakdown of Internal Audit Skills*** Module 01: Auditing as a Form of Assurance Module 02: Internal Audit Procedures Module 03: Technology-based Internal Audit Module 04: Internal Control and Control Risk Module 05: Audit Interviews Module 06: Reporting Audit Outcome Module 07: UK Internal Audit Standards Module 08: Career as an Auditor How is the Internal Audit Skills Bundle Assessment Process? You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you successfully pass the exams. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This bundle is ideal for: Professionals seeking to advance their careers in internal audit and compliance Individuals seeking to gain knowledge in the latest techniques and tools in the industry Newcomers to the field looking to establish a foundation in internal audit and compliance Individuals seeking to enhance their skills in risk management, crisis management, and financial analysis Career path This bundle will help you to develop your knowledge and skills to pursue different careers, such as: Internal Auditor: £24,000 - £65,000 Compliance Manager: £26,000 - £85,000 Risk Manager: £28,000 - £90,000 Financial Analyst: £22,000 - £63,000 HR Auditor: £28,000 - £70,000 Tax Accountant: £24,000 - £73,000 Certificates CPD QS Accredited Certificate Digital certificate - Included Upon successfully completing the Bundle, you will need to place an order to receive a PDF Certificate for each course within the bundle. These certificates serve as proof of your newly acquired skills, accredited by CPD QS. Also, the certificates are recognised throughout the UK and internationally. CPD QS Accredited Certificate Hard copy certificate - Included International students are subject to a £10 delivery fee for their orders, based on their location. Diploma in Internal Audit Skills at QLS Level 5 Hard copy certificate - Included

24 Hours Left! Don't Let Year-End Deals Slip Away - Enrol Now! As the sun slowly rises over the schoolyard, the air is thick with anticipation. The students are buzzing with excitement for another day of learning and growth. Behind the scenes, a dedicated team of administrators are hard at work, ensuring that every moment runs smoothly. If you have ever dreamed of being the mastermind behind a successful school, then the School Administrator Diploma is the perfect opportunity for you. This bundle of 11 courses will equip you with the skills and knowledge needed to lead and manage an educational institution. The first course, School Administrator, is QLS-endorsed, which means that you will receive a QLS hardcopy certificate for free upon completion. This certificate is highly valued in the education industry and will give you a competitive edge when applying for jobs or seeking promotions. The remaining 10 courses are CPD-QS accredited and cover a range of topics that are relevant to modern-day education. From Educational Psychology & Development to Online Physical Education (PE) Teacher Training, this bundle has everything you need to succeed. At the end of the course, you will have a deep understanding of education and pedagogy, office management, lesson planning, remote teaching strategies, education and childcare, special educational needs coordination, safeguarding, and teaching assistance. Join the ranks of successful school administrators today and unlock your potential with the help of this School Administrator Diploma. Enrol right now! This School Administrator Diploma Bundle Package includes: Course 01: Diploma in School Administrator at QLS Level 5 10 Premium Additional CPD QS Accredited Courses - Course 01: Educational Psychology & Development Course Course 02: Education and Pedagogy Course 03: Office Management Course 04: Lesson Planning for Teaching Course 05: Remote Teaching Strategies Course 06: Education and Childcare Course 07: SENCO - Special Educational Needs Coordination Course Course 08: Online Physical Education (PE) Teacher Training Course 09: How to Save Children from Abuse Course 10: KS1 and KS2 Teaching Assistant Why Prefer This School Administrator Diploma Bundle? You will receive a completely free certificate from the Quality Licence Scheme Option to purchase 10 additional certificates accredited by CPD Get a free Student ID Card - (£10 postal charges will be applicable for international delivery) Free assessments and immediate success results 24/7 Tutor Support After taking this School Administrator Diploma bundle courses, you will be able to learn: Develop a deep understanding of educational psychology and child development Learn effective lesson planning and teaching strategies Master office management skills and techniques Understand special educational needs coordination Learn online teaching strategies and remote teaching techniques Understand safeguarding and how to protect children from abuse Learn physical education teacher training and KS1 and KS2 teaching assistance ***Curriculum breakdown of School Administrator*** Introduction to School Administration Types of Schools In The UK Workplace Development Creating and Maintaining a School Culture Educational Administration and Management Safeguarding Students Child Development Serious Behavioural Issues and Problems of Students Managing School Premises Safety and Maintenance As an Administrator Self-Management and Dealing with Stress How is the School Administrator Diploma Bundle Assessment Process? You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you successfully pass the exams. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring school administrators Educators and teaching professionals Individuals interested in office management Those looking to specialize in special educational needs coordination Career path Our courses will prepare you for a range of careers, including: School Administrator (£20,000 - £50,000) Educational Psychologist (£23,000 - £48,000) Education Officer (£25,000 - £45,000) Special Educational Needs Coordinator (£24,000 - £48,000) Teaching Assistant (£12,000 - £22,000) Physical Education Teacher (£24,000 - £37,000) Certificates CPD QS Accredited Certificate Digital certificate - Included Upon successfully completing the Bundle, you will need to place an order to receive a PDF Certificate for each course within the bundle. These certificates serve as proof of your newly acquired skills, accredited by CPD QS. Also, the certificates are recognised throughout the UK and internationally. CPD QS Accredited Certificate Hard copy certificate - Included International students are subject to a £10 delivery fee for their orders, based on their location. Diploma in School Administrator at QLS Level 5 Hard copy certificate - Included

The course is designed to provide participants with an in-depth understanding of contract and quality management in project management. Participants will learn the different stages of contract management and its benefits, types of contracts and contract terms, project document control, project baselines, quality management concepts, quality management tools and techniques, and the concept of total quality management and quality chain. The course will also cover the use of project milestone chart in project management. This course provides participants with a comprehensive understanding of contract and quality management in project management. Participants will also learn about project document control, project baselines, quality management concepts, quality management tools and techniques, and the concept of total quality management and quality chain. By the end of the course, learners will be equipped with the knowledge and skills to effectively manage contracts and ensure quality in project management. After the successful completion of the course, you will be able to learn about the following; Defining the concept, stages, and benefits of contract management in project management. Learning the types of contracts and Contract terms in project management. Understanding the concept of project document control. Understanding the concept of Project Baselines. Learning the concept and process of quality management in project management. Understanding the Quality management tools and techniques. Defining the concept of total quality management and quality chain. Understanding Project milestone chart. This course provides participants with a comprehensive understanding of contract and quality management in project management. It covers the different stages of contract management and its benefits, types of contracts, and contract terms. Participants will also learn about project document control, project baselines, quality management concepts, quality management tools and techniques, and the concept of total quality management and quality chain. The course will also cover the use of a project milestone chart in project management. By the end of the course, learners will be equipped with the knowledge and skills to effectively manage contracts and ensure quality in project management. 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. Project Documentation and Quality Control Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. Project Documentation and Quality Control Self-paced pre-recorded learning content on this topic. 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. CEO, Director, Manager, Supervisor Project Managers Project Coordinators Project Analysts Business Analysts Team Leaders Department Managers Executives overseeing projects Consultants Engineers IT Professionals Marketing Managers Human Resources Managers Financial Analysts Operations Managers Supply Chain Managers Product Managers. 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.

Level 4 QLS Endorsed Course | CPD & CiQ Accredited | Audio Visual Training | Free PDF Certificate | Lifetime Access

Level 5 QLS Endorsed Course | CPD & CiQ Accredited | Audio Visual Training | Free PDF Certificate | Lifetime Access

Take your Python skills to the next level. Learn how expert programmers work with code and the techniques they use.

3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support

3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support

3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support