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Sale Ends Today IT Skills for Business Level 3 Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter IT skills are not just beneficial today, rather they have become indispensable for any business environment. With over 1.46 million people working within the digi-tech sector in the UK, the demand for advanced IT competencies continues to surge. The IT Skills for Business Level 3 course bundle is designed to place you at the forefront of this dynamic field. So, get ready to elevate your professional capability and become an invaluable asset to any business! The IT Skills for Business Level 3 course offers an extensive curriculum tailored to enhance your technical skills across a broad spectrum of IT disciplines. From foundational courses like IT Support Technician and Functional Skills IT to specialised training in Ethical Hacking, Cyber Security, and Network Security, this bundle equips you with the necessary tools to secure, analyse, and manage IT infrastructure effectively. Additionally, enhance your strategic acumen with Business Analysis, learning to translate business needs into IT solutions, and exploring Financial Analysis for richer business decision-making. Courses Are Included In this IT Skills for Business Level 3 Career Bundle: Course 01: IT Support Technician Course 02: Functional Skills IT Course 03: Building Your Own Computer Course Course 04: It: Ethical Hacking, IT Security and IT Cyber Attacking Course 05: Computer Operating System and Troubleshooting Course 06: Cyber Security Incident Handling and Incident Response Course 07: Cyber Security Law Course 08: Network Security and Risk Management Course 09: CompTIA Network Course 10: CompTIA Cloud+ (CV0-002) Course 11: Web Application Penetration Testing Course Course 12: Learn Ethical Hacking From A-Z: Beginner To Expert Course 13: C# (C-Sharp) Course 14: JavaScript Fundamentals Course 15: Python Programming Bible Course 16: Data Protection (GDPR) Practitioner Course 17: Microsoft SQL Server Development for Everyone! Course 18: SQL Database Administrator Course 19: Data Science and Visualisation with Machine Learning Course 20: SQL For Data Analytics & Database Development Course 21: Introduction to Business Analysis Course 22: Business Data Analysis Course 23: Financial Analysis for Finance Reports Course 24: Financial Modelling Using Excel Course 25: Data analytics with Excel Course 26: Excel Data Tools and Data Management Course 27: Ultimate Microsoft Excel For Business Bootcamp Course 28: MS Word Essentials - The Complete Word Course - Level 3 Course 29: Document Control Course 30: Information Management Don't miss the opportunity to transform your career with cutting-edge IT skills that are crucial in today's tech-driven world. Utilise the industry relevant and essential IT knowledge this IT Skills for Business Level 3 course bundle has to offer and use it as your gateway to success. Enrol today and take the first step towards securing a prominent role in the booming tech industry! Learning Outcomes of this Bundle: Master key IT support skills and build your own computer. Gain proficiency in programming with C#, JavaScript, and Python. Develop expertise in cyber security, network security, and risk management. Learn comprehensive data protection practices including GDPR compliance. Enhance skills in SQL for effective database management and business analytics. Apply advanced Excel techniques for financial modelling and data analysis. But that's not all. When you enrol in IT Skills for Business Level 3 Bundle, you'll receive 30 CPD-Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free. Why Prefer this Course? Get a Free CPD Accredited Certificate upon completion of the course Get a Free Student ID Card with this training program (£10 postal charge will be applicable for international delivery) The course is Affordable and Simple to understand Get Lifetime Access to the course materials The training program comes with 24/7 Tutor Support Start your learning journey straight away! The "IT Skills for Business Level 3" course bundle is an invaluable resource for anyone looking to deepen their understanding and expertise in the diverse fields of IT and Business Analysis. This course offers learners the chance to master foundational IT Support Skills, such as Building their Own Computers and troubleshooting various software issues, providing a solid base from which to expand their knowledge into more specialised areas. Further advancement is facilitated through detailed modules focusing on Business Analysis Skills, teaching learners how to translate complex business needs into scalable IT solutions. This integration of IT proficiency with Business knowledge ensures that participants are well-prepared to tackle strategic challenges, making them invaluable assets to any organisation. By blending IT skills with an understanding of business processes and Data Analysis, this course sets up its participants for success in multiple pathways, from Network Management to Business Consulting. Moreover, this diploma offers learners the opportunity to acquire a Recognised Qualification that is highly valued in the field of IT / Business. With this Certification, graduates are better positioned to pursue career advancement and higher responsibilities within the IT / Business setting. The skills and knowledge gained from this course will enable learners to make meaningful contributions to IT / Business related fields impacting their IT / Business experiences and long-term development. Course Curriculum Course 01: IT Support Technician Module 01: Software Module 02: Hardware Module 03: Security Module 04: Networking Module 05: Basic IT Literacy Course 02: Functional Skills IT Module 01: How People Use Computers Module 02: System Hardware Module 03: Device Ports And Peripherals Module 04: Data Storage And Sharing Module 05: Understanding Operating Systems Module 06: Setting Up And Configuring A PC Module 07: Setting Up And Configuring A Mobile Device Module 08: Managing Files Module 09: Using And Managing Application Software Module 10: Configuring Network And Internet Connectivity Module 11: IT Security Threat Mitigation Module 12: Computer Maintenance And Management Module 13: IT Troubleshooting Module 14: Understanding Databases Module 15: Developing And Implementing Software Course 03: Building Your Own Computer Course Module 01: Introduction to Computer & Building PC Module 02: Overview of Hardware and Parts Module 03: Building the Computer Module 04: Input and Output Devices Module 05: Software Installation Module 06: Computer Networking Module 07: Building a Gaming PC Module 08: Maintenance of Computers =========>>>>> And 27 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*30 = £390) CPD Hard Copy Certificate: Free (For The First Course: Previously it was £29.99) CPD 300 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: Aspiring IT professionals. Business analysts. Data scientists. System administrators. Network security specialists. Database managers. Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this bundle, you are to start your career or begin the next phase of your career. IT Support Specialist: $35,000 - $60,000 Cyber Security Analyst: $60,000 - $100,000 Network Engineer: $50,000 - $90,000 Data Analyst: $45,000 - $85,000 Software Developer: $50,000 - $120,000 Database Administrator: $60,000 - $110,000 Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited e-Certificate - Free Enrolment Letter - Free Student ID Card - Free CPD Accredited Hard copy certificate Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP for each certificate as an international delivery charge.

REST or RESTful API design (Representational State Transfer) is designed to take advantage of existing protocols. Django REST framework is a powerful and flexible toolkit to build web APIs. Throughout the course, we will explore the most important Django Rest framework topics step-by-step. We will learn topics such as API basics, serializers, class-based views, and so on to build flexible APIs.

Join the Scrum.org accredited Live Virtual Class - Professional Scrum Product Owner Advanced™ training (PSPO Advanced) to master the role of a Product Owner. Learn how to advance your training of Product Ownership and apply it to deliver even more value. Course Description Agile techniques and the Scrum framework revolutionise project and product delivery, enabling teams to work faster and align closely with business needs. A product owner's role within this delivery is critical. Unlike traditional team managers, Product Owners focus on maximising product value rather than individual elements of project delivery. To excel in this role, product owners must combine business strategy with product vision and delivery roadmaps. The ability to operate within complex environments highlights the need for specific training and qualifications. Product Owner Advanced training is specifically designed to empower experienced Product Owners to deliver greater value. An exceptional Product Owner requires skillsets beyond core Agility and Scrum. These include clear decision-making, vision, communication, and influence. Practical experience is highly valued, and the PSPO 2 course emphasises interactive workshops, discussions, and exercises to provide a comprehensive understanding of the multifaceted Product Owner role. This course elevates existing Product Owners' capabilities, providing a clear path for your professional growth and delivering increased value to product stakeholders. Through collaborative and exploratory training, Product Owners' knowledge and experience will reach new heights, improving various aspects of your role. Key areas covered include: Deepening understanding of the Product Owner role, including product understanding, customer identification, and effective communication of product vision and strategy. Leveraging product vision and strategy to gain a competitive edge. Embracing diverse roles and stances essential for Product Owners. Enhancing stakeholder communication and management skills with a focus on different stakeholder groups. Navigating Agile governance, budgeting, and contracting within the Scrum framework. Scaling the Product Owner role for larger projects and products. By the end of this product owner advanced training, participants will be equipped to excel as Product Owners, driving success and value across their product journey. Why Train With Us? Develop advanced product owner skillsets that build on your existing knowledge of the Scrum framework and product owner accountabilities with our immersive two-day online PSPO Advanced course. Led by experienced industry professionals and support Professional Scrum Trainers & Product Owners, the course values team-based exercises and a hands-on learning experience. We help you grow within your Product Owner role through this advanced training, enabling you to better communicate product vision and strategy to teams, ultimately delivering higher value through projects and products with larger scopes. Who Should Attend This Course? The Professional Product Owner – Advanced course is designed for: Experienced Product Owners, ideally with at least one year of experience in the role Scrum Masters and stakeholders collaborating with Product Owners Your Professional Scrum Trainer Meet Jay, founder of Fractal Systems and a dedicated Professional Scrum Trainer. With over 20 years of experience in team and leadership roles, Jay is well-versed in delivering continuous value. His unique teaching approach involves zero PowerPoint and instead relies on engaging, experience-based sessions using techniques from Liberating Structures and Neuro Linguistic Programming. Jay's expertise lies in business transformations, offering training, mentoring, coaching, and consulting to foster success through collaborative efforts. Rapid learning and practical application are the hallmarks of his approach. Jay & the entire Fractal team are invested in your learning journey and are here to support you from start to end, including offering additional valuable support: Free practice assessments for certification success Free resource bundle to master Scrum Free exam revision sheets Free access to an exam simulator Free exam coaching sessions for first-time success Free 1:1 coaching to excel at work Our Clients Our Testimonials

Overview   With the ever-increasing demand for Agile Project Management] in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Agile Project Management] may be.   Learning about Agile Project Management] or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Agile Project Management]. That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Agile Project Management] is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates.   The self-paced online learning methodology by Compete High in this Diploma in Agile Project Management course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!   Instead of searching for hours, enrol right away on this Diploma in Agile Project Management course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run.   Who is this course for?   While we refrain from discouraging anyone wanting to do this Diploma in Agile Project Management course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Agile Project Management], Jobseekers in the relevant domains, Anyone with ground knowledge/intermediate expertise in Agile Project Management], Anyone looking for a certificate of completion on doing an online training on this topic, Students of Agile Project Management], or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity   Career Path   This Diploma in Agile Project Management course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.    Course Curriculum Module 1 - Introduction to Agile Project Management Introduction to Agile Project Management 00:00 Module 2 - What is Agile Project Management What is Agile Project Management 00:00 Module 3 - What is Agile Manifesto What is Agile Manifesto 00:00 Module 4 - Four Foundational Agile Values Four Foundational Agile Values 00:00 Module 5 - Twelve Supporting Agile Principles Twelve Supporting Agile Principles 00:00 Module 6 - Role of Leaders in Agile Project Management Role of Leaders in Agile Project Management 00:00 Module 7 - Managing Diversity, Equality and Inclusion in an Agile Team Managing Diversity, Equality and Inclusion in an Agile Team 00:00 Module 8 - Scrum Methodology Scrum Methodology 00:00 Module 9 - Waterfall Methodology Waterfall Methodology 00:00 Module 10 - Extreme Programming Methodology Extreme Programming Methodology 00:00

Duration 3 Days 18 CPD hours This course is intended for Application Consultant Business Analyst Business Process Architect Business Process Owner/Team Lead/Power User Developer Development Consultant Program/Project Manager Solution Architect Technology Consultant Overview This course will prepare you to: Understand the SAP Cloud Solution Understand the SAP Cloud Strategy Understand Java Development Understand development in SAP Cloud Classify and use the various Cloud Platform services Understand the various CP Services Explore the Internet of things Get an overview of SAP Cloud Platform, integration Service Understand Extensions of SAP Cloud Solutions This course will introduce and inform you about the vast potential of SAP Cloud Platform with hands-on exercises to dive into this open platform. SAP Cloud Platform, Introduction Introduce SAP Cloud Platform (SAP CP) Explain Landscape Architecture-Relevant Terms Learn about typical Use cases Explore What is in it: Product Capabilities and Services Platform Concepts Understand Basic Platform Concepts Explore Datacenters Understand Security Digital Transformation - Java Development Introduce Digital Transformation, Java Development Explore 12 Factor Microservices Use the Supported Java Development Environment Explain Supported Java Programming Models by CF Operate Java Applications on SAP Cloud Platform NEO Digital Transformation ? SAP HANA Development Understand SAP HANA Development Understand the SAP HANA XSA Development on CF Digital Transformation ? HTML5/SAPUI5/Fiori Development Introduce HTML5, SAPUI5, and Fiori Development Use SAP UI5 Use SAP Fiori Agile Business ? Extend Application Introduce Agile Business Understand the Application Frontend x-tend the Application: Backend Explore SAP Cloud Platform Data and Storage Services Enterprise Optimization ? Integration Services Introduce Enterprise Optimization, Integration Services Explore Available Integration Services Enterprise Optimization ? Process Integration Introduce SAP Cloud Platform, Integration Service Implement iFlows Enterprise Optimization ? API Explain API Management Build and Publish APIs Internet of Things Services (IoT) Explore the Internet of Things (IoT) Other Interesting Services and Features Explain SAP Cloud Platform SaaS Extensions Explore SAP Cloud Platform Business Services Explain Cloud Platform Data and Storage Understand SAP Cloud Platform Security

Duration 5 Days 30 CPD hours This course is intended for Software Engineers Mobile Developers Overview The training is geared to build essential skills to develop professional applications for iOS 8.0 devices. The complete hands-on course will be delivered using Xcode 6. The 2 days of Objective-C and Swift training, at the start of the course is designed to allow developers , with a non-Objective C background, to jumpstart into iOS application development. The training is intended to lay a solid foundation in Apple's new programming language - Swift for development of next-generation iOS applications. The training is intended to lay a solid foundation in Apple's new programming language - Swift for development of next-generation iOS applications.

Contribute towards your RICS CPD requirements for the year with online webinars from Property Elite. This package contains over 30 hours of online webinars (formal CPD), which you can top up with your own informal CPD via structured reading after you watch each recorded session. Perfect for qualified AssocRICS surveyors and Chartered Surveyors, as well as RICS APC and AssocRICS candidates. Our CPD webinars cover topics relevant to most pathways, including both technical and mandatory competencies and current hot topics.

Python: Arduino SMS Sending Motion Detector Course Overview Are you looking to begin your Arduino SMS Sending Motion Detector career or want to develop more advanced skills in Arduino SMS Sending Motion Detector? Then this Python: Arduino SMS sending motion detector course will set you up with a solid foundation to become a confident Python progammer or electronic and electrical engineer and help you to develop your expertise in Arduino SMS Sending Motion Detector. This Python: Arduino SMS sending motion detector course is accredited by the CPD UK & IPHM. CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Whether you are self-taught and you want to fill in the gaps for better efficiency and productivity, this Python: Arduino SMS sending motion detector course will set you up with a solid foundation to become a confident Python progammer or electronic and electrical engineer and develop more advanced skills. Gain the essential skills and knowledge you need to propel your career forward as a Python progammer or electronic and electrical engineer. The Python: Arduino SMS sending motion detector course will set you up with the appropriate skills and experience needed for the job and is ideal for both beginners and those currently working as a Python progammer or electronic and electrical engineer. This comprehensive Python: Arduino SMS sending motion detector course is the perfect way to kickstart your career in the field of Arduino SMS Sending Motion Detector. This Python: Arduino SMS sending motion detector course will give you a competitive advantage in your career, making you stand out from all other applicants and employees. If you're interested in working as a Python progammer or electronic and electrical engineer or want to learn more skills on Arduino SMS Sending Motion Detector but unsure of where to start, then this Python: Arduino SMS sending motion detector course will set you up with a solid foundation to become a confident Python progammer or electronic and electrical engineer and develop more advanced skills. As one of the leading course providers and most renowned e-learning specialists online, we're dedicated to giving you the best educational experience possible. This python: Arduino SMS sending motion detector course is crafted by industry expert, to enable you to learn quickly and efficiently, and at your own pace and convenience. Who should take this course? This comprehensive Python: Arduino SMS sending motion detector course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of Arduino SMS Sending Motion Detector. Entry Requirements There are no academic entry requirements for this Python: Arduino SMS sending motion detector course, and it is open to students of all academic backgrounds. As long as you are aged seventeen or over and have a basic grasp of English, numeracy and ICT, you will be eligible to enrol. Career path This python: Arduino SMS sending motion detector course opens a brand new door for you to enter the relevant job market and also provides you with the chance to accumulate in-depth knowledge at the side of needed skills to become flourishing in no time. You will also be able to add your new skills to your CV, enhance your career and become more competitive in your chosen industry. Course Curriculum Introduction Introduction Who We Are Hardware and Software Requirements Hardware and Software Requirements Circuit Design Circuit Design Arduino Coding Arduino Coding SMS API Service Sign up for SMS API Service Activate SMS API Service Via Trial Request Get Your Online Phone Number Coding Download and Install Pycharm Python Editor Download and Install Required Libraries Using Pycharm Get the Send SMS Python API and Test it Practical Motion Detector SMS Sending Process Python Programming Download and Install Required Python Libraries Download and Install Software Section Download and Install Arduino Pro IDE Recognised Accreditation CPD Certification Service This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Certificate of Achievement Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35.   FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

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.

Duration 2 Days 12 CPD hours This course is intended for DevOps Engineers Software Developers Telecommunications Professionals Architects Quality Assurance & Site Reliability Professionals Overview Automate basic freestyle projects Jenkins Pipelines and Groovy Programming Software lifecycle management with Jenkins Popular plugins Scaling options Integrating Jenkins with Git and GitHub (as well as other Software Control Management platforms) Triggering Jenkins with Webhooks Deploying into Docker and Kubernetes CI / CD with Jenkins This course covers the fundamentals necessary to deploy and utilize the Jenkins automation server. Jenkins enables users to immediately begin automating both their individual and collaborative workflows. Jenkins is a proven solution for a wide variety of tasks ranging from the helpful automation of scripts (such as Python and Ansible) to creating complex pipelines that govern the technical parts of not only Continuous Integration, but Continuous Delivery (CI/CD) as well. Jenkins is free, open source, and easily controlled with a simple web- based UI- it can be expanded by third party plugins and is deployable on nearly any on-site (Linux, Windows and Mac) or cloud platform. Overview of Jenkins Overview of Continuous Integration and Continuous Deployment (CI/CD) Understanding Git and GitHub Git Branching Methods for Installing Jenkins Jenkins Dashboard Jenkins Jobs Getting Started with Freestyle Jobs Triggering builds HTTP Web Hooks Augmenting Jenkins with Plugins Overview of Docker and Dockerfile for Building and Launching Images Pipeline Jobs for Continuous Integration and Continuous Deployment Pipeline Build Stage Pipeline Testing Stage Post Build actions SMTP and Other Notifications Programming Pipelines with Groovy More Groovy Programming Essentials Extracting Jenkins Data Analytics to Support Project Management Troubleshooting Failures Auditing stdout and stderr with Jenkins Jenkins REST API Controlling Jenkins API with Python Jenkins Security Scaling Jenkins Jenkins CLI Building a Kubernetes Cluster and Deploying Jenkins How to start successfully using Jenkins to automate aspects of your job the moment this course ends.