1209 Database courses in Immingham delivered On Demand

Master VLOOKUP in Excel in just 60 minutes! From menus to list comparisons, learn essential VLOOKUP skills fast.

Advance your data skills by mastering Spark programming in Python. This beginner's level course will help you understand the core concepts related to Apache Spark 3 and provide you with knowledge of applying those concepts to build data engineering solutions.

Overview Master the use of the world's most popular data analysis and office tool, with absolutely no previous experience or training needed.This course will help you quickly become an expert in the use of Microsoft's best-selling Excel, allowing you to be a valuable asset to any business or organisation.The Microsoft Excel Level 3course will teach you how to manage finances, produce spreadsheets, and file invoices in no time. Our innovative training method will have you visualising and presenting company data efficiently. Learn to impress your peers and managers with your intuitive use of Excel and make sure that your administration skills are faultless. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Microsoft Excel Level 3. It is available to all students, of all academic backgrounds. Requirements Our Microsoft Excel Level 3 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 21 sections • 73 lectures • 10:39:00 total length •Introduction to Microsoft Excel 2019 New Features: 00:07:00 •CONCAT: 00:02:00 •IFS: 00:01:00 •MAXIFS: 00:01:00 •MINIFS: 00:01:00 •SWITCH: 00:02:00 •TEXTJOIN: 00:01:00 •Map Chart: 00:02:00 •Funnel Chart: 00:01:00 •Better Visuals: 00:06:00 •Pivot Table Enhancements: 00:02:00 •Power Pivot Updates: 00:01:00 •Navigate the Excel User Interface: 00:28:00 •Use Excel Commands: 00:10:00 •Create and Save a Basic Workbook: 00:19:00 •Enter Cell Data: 00:12:00 •Use Excel Help: 00:05:00 •Create Worksheet Formulas: 00:15:00 •Insert Functions: 00:17:00 •Reuse Formulas and Functions: 00:17:00 •Insert, Delete, and Adjust Cells, Columns, and Rows: 00:10:00 •Search for and Replace Data: 00:09:00 •Use Proofing and Research Tools: 00:07:00 •Apply Text Formats: 00:16:00 •Apply Number Format: 00:08:00 •Align Cell Contents: 00:09:00 •Apply Styles and Themes: 00:12:00 •Apply Basic Conditional Formatting: 00:11:00 •Create and Use Templates: 00:08:00 •Preview and Print a Workbook: 00:10:00 •Set Up the Page Layout: 00:09:00 •Configure Headers and Footers: 00:07:00 •Manage Worksheets: 00:05:00 •Manage Workbook and Worksheet Views: 00:07:00 •Manage Workbook Properties: 00:06:00 •Work with Ranges: 00:18:00 •Use Specialized Functions: 00:11:00 •Work with Logical Functions: 00:23:00 •Work with Date & Time Functions: 00:08:00 •Work with Text Functions: 00:11:00 •Sort Data: 00:10:00 •Filter Data: 00:10:00 •Query Data with Database Functions: 00:09:00 •Outline and Subtotal Data: 00:09:00 •Apply Intermediate Conditional Formatting: 00:07:00 •Apply Advanced Conditional Formatting: 00:05:00 •Create Charts: 00:13:00 •Modify and Format Charts: 00:12:00 •Use Advanced Chart Features: 00:12:00 •Create a PivotTable: 00:13:00 •Analyze PivotTable Data: 00:12:00 •Present Data with PivotCharts: 00:07:00 •Filter Data by Using Timelines and Slicers: 00:11:00 •Use Links and External References: 00:12:00 •Use 3-D References: 00:06:00 •Consolidate Data: 00:05:00 •Use Lookup Functions: 00:12:00 •Trace Cells: 00:09:00 •Watch and Evaluate Formulas: 00:08:00 •Collaborate on a Workbook: 00:19:00 •Protect Worksheets and Workbooks: 00:08:00 •Apply Data Validation: 00:13:00 •Search for Invalid Data and Formulas with Errors: 00:04:00 •Work with Macros: 00:18:00 •Create Sparklines: 00:07:00 •MapData: 00:07:00 •Determine Potential Outcomes Using Data Tables: 00:08:00 •Determine Potential Outcomes Using Scenarios: 00:09:00 •Use the Goal Seek Feature: 00:04:00 •Forecasting Data Trends: 00:05:00 •Excel Templates: 00:00:00 •Resources - Microsoft Excel - Beginner Course - Cpd Accredited: 00:00:00 •Assignment - Microsoft Excel Level 3: 00:00:00

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Register on the BlackArch Linux for Hacking and Penetration Testing today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The BlackArch Linux for Hacking and Penetration Testing is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The BlackArch Linux for Hacking and Penetration Testing Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the BlackArch Linux for Hacking and Penetration Testing, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content BlackArch Linux for Hacking and Penetration Testing Module 01: Kali Linux Installation and Updates 00:31:00 Module 02: Kali Linux Operating System Configuration 00:32:00 Module 03: Virtualization Basics 00:18:00 Module 04: BlackArch Linux Introduction and Installation 00:43:00 Module 05: BlackArch Configuration 00:33:00 Module 06: Information Gathering and Validation 00:33:00 Module 07: Gathering Information with Maltego 00:15:00 Module 08: Cherrytree for Information Database Storage 00:08:00 Module 09: NMAP Techniques for Information Gathering 00:24:00 Module 10: Dracnmap Scripts for BlackArch 00:09:00 Module 11: Android Hacking with BlackArch 00:24:00 Module 12: Windows 7 Hacking with BlackArch 00:21:00 Module 13: Netcat NC Network Hacking with BlackArch 00:14:00 Module 14: Web Application and Website Hacking with BlackArch 00:26:00 Module 15: BEEF, Browser Injections, and Other Browser Attacks 00:25:00 Module 16: Hacking Facebook with BlackArch 00:12:00 Module 17: Hacking Wireless Networks with BlackArch Tools 00:29:00 Module 18: Man in the Middle Attacks with BlackArch 00:20:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Register on the Building E-Commerce Applications with Express today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Building E-Commerce Applications with Express is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Building E-Commerce Applications with Express Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Building E-Commerce Applications with Express, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Unit 01: Introduction Module 01: Why Build an E-Commerce Application? 00:02:00 Module 02: Can't I Just Use PayPal? 00:06:00 Module 03: E-Commerce Application Workflow 00:02:00 Module 04: A Look at the Final Application 00:04:00 Unit 02: Scaffolding a Development Environment Module 01: Introduction 00:02:00 Module 02: Scaffolding a Production Environment / Getting to 'Hello World' with Express 00:11:00 Module 03: Connecting to a Database 00:16:00 Unit 03: Creating a Client Module 01: Understanding the Client 00:01:00 Module 02: Scaffolding a Client Application with React and Webpack 00:15:00 Module 03: Adding Routes 00:10:00 Module 04: Creating the Order Page 00:10:00 Module 05: Implementing Redux 00:24:00 Unit 04: Building up Application Functionality Module 01: Calculating Price 00:24:00 Module 02: Creating a Cart for the Client 00:09:00 Module 03: Adding a Checkout Route - Creating a React Route 00:14:00 Module 04: Adding a Checkout Route - Connecting the Client to the Server 00:09:00 Unit 05: Completing the Transaction Module 01: Validating User Info 00:29:00 Module 02: Completing the Transaction 00:12:00 Module 03: Sending a Notification Email 00:24:00 Resources Resources - Building E-Commerce Applications with Express 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

A knowledge of Windows PowerShell is a must for IT professionals and this course is a one-stop-shop for gaining this necessary and in-demand skill. This course is designed to take system administrators to an advanced level in PowerShell scripting. You will find ways to automate your daily work using the advantages of PowerShell scripting.

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.

Description: Are you not familiar with Office 2016 and want to learn every single detail of it? Then you are at the right place! Office 2016 Complete Course is designed for beginners to educate about Microsoft Office 2016. Initially, you will learn about the basic features of Microsoft Word such as creating a new document, personalizing the Microsoft Word interface, adding graphics, controlling page appearance, proofing and editing a document. Following that, you will learn about the foundations of Microsoft Office Excel that is essential to create and work with an electronic spreadsheet. You will be able to insert and delete text or images, create columns, rows and much more. Microsoft PowerPoint will help you in navigating the PowerPoint environment, create and save PowerPoint presentation, etc. Microsoft Outlook will help you to set up and use Outlook on Windows, also assist you in creating and sending messages, managing contacts, working with notes, etc. You will learn related information to access Microsoft Office 2016. Additionally, you will learn Project management basics, adding tasks and resources to a project and saving them. In the course, you will learn the essential features of the latest version of Microsoft Visio and the basic information about the diagramming software. Learning Outcomes: Word 2016 user interface, creating basic documents and utilizing help Managing text through modifying, finding and replacing, and selecting them; and arranging texts through tabs and lists Understanding the commands on the home tab and mini toolbar Paragraph layout tool, borders, shading, styles and formatting management techniques Maximizing your ability to utilize tables within Word 2016 Inserting symbols and special characters along with techniques for adding them Managing your page's appearance with colours, borders, watermarks, headers, footers and page setup dialog box Reviewing documents through spell check, research pane and thesaurus Document accessibility options Customizing the user interface, modifying save options and managing other file types Familiarize the excel user interface, creating basic worksheet and using the help system How to create formulas, reuse them and insert functions in a worksheet Managing cells, columns and rows and ways to manipulate data Utilizing the 'Search and replace' data options and spell checking Modifying fonts, adding borders and colours to cells, using number formats, aligning cell contents and applying cell styles Define and refine page layouts for printing options Managing large workbooks through worksheet tab formatting and using different views Options for general customization, language, formula, proofing and saving Customizing Quick Access toolbar, ribbon, advanced and Trust Center options Utilize Excel's version control features and enabling add-ins Utilize the PowerPoint user interface, creating and saving presentations, and using help Making presentations through presentation options like selecting types, building it, layouts, text editing, viewing and navigation Discover methods for formatting characters, paragraphs, and text boxes Adding images, screenshots, screen recordings, shapes and WordArt Modifying options for objects and animation features Creating and formatting a table and integrating data from other Microsoft Office applications Create format and manipulate a chart Navigate throughout the Outlook user interface and learn to perform basic email functions and utilize help Composing emails, grammar and spell checks, formatting content, attaching files, enhancing messages and managing automatic message responses Customize reading options, work with attachments and manage message responses Managing and organization of messages with the help of tags, flags, other commands and folders Using calendar options to manage appointments and meetings Using People workspace to create, update, view and organise contacts Managing tasks and notes Creating and managing Quick Steps, and customizing the interface according to needs Get familiarized with Microsoft Access 2016, create simple databases, and use the help options Change table data, manage records and create lookups Join data from different tables, sort and filter them, and perform calculations for queries Creating, adding controls, enhancing appearance and print preparation for reports How to utilize Access Options dialog box Relational database design, creating tables, managing table fields and creating table relationships Creating query joins and subqueries, joining tables with no common fields, relating data within a table, and working with sub datasheets Data normalization and creating junction tables Sharing Access data with other applications and through import and export options Managing reports through organizing information, formatting, including charts, adding calculated fields and sub-report inclusion to existing ones Create mailing label report and publishing reports in PDF format Project management basics, navigating and customizing the user interface, adding tasks and resources to a project and saving them Managing project time frames and changing working time Managing project tasks, adding summary tasks and milestones Managing project resources, allocating and levelling work resources Sharing and exporting projects, and adjusting project print views Navigation throughout Visio interface, creating basic drawing and using the help system Drawing components, modifying drawings and work with callouts and groups Organization charts creation, modifying their layouts, positioning and spacing Create and integrate organization chart copies and compare them Making a basic floor plan and custom room shapes, utilizing the program as a modelling tool and modelling room layouts Creating cross-functional flowcharts and related features like - swimlanes and separators Altering orientation and direction, changing margins and choosing styles for flowcharts Creating network diagrams, and utilizing shape data and layers Other network diagram relevant topics such as network shapes, shape data, adding layers, activating, colouring and more Working with shape, connector styles, themes, variants and containers Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Office 2016 Complete Course is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Office 2016 Complete Course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.

Description: This VMware Ultimate Bootcamp vSphere 4 will help you to learn advanced virtualization concepts and explores the VMware vSphere 4.0 product suite. The objective is to instill the knowledge required for you to do your job efficiently and effectively, starting from installation of the product to real-world troubleshooting issues. The focus is not limited only to learning and harnessing the power of VMware but the entire concept of virtualization, and other 3rd party tools and technologies that will enhance VMware capabilities and increase the student's virtualization expertise. You will be introduced with Expert Lectures, Certificate Of Completion, PowerPoint Visuals, Demonstrations, Review Quizzes, Mobile Access, Workbooks, and more. This comprehensive series will prepare you to become a certified professional virtualization expert. You can join this course to Experience the comprehensive content included in multiple VMware vSphere. Assessment & Certification: To achieve a formal qualification, you are required to book an official exam separately with the relevant awarding bodies. However, you will be able to order a course completion CPD Certificate by paying an additional fee. Hardcopy Certificate by post - £19 Soft copy PDF via email - £10 Requirements Our VMware Ultimate Bootcamp vSphere 4 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Series Introduction and Methodology Series Methodology 00:15:00 Virtualization Overview Virtualization Overview 00:37:00 Planning and Installing ESX Planning the ESX Deployment 00:14:00 vSphere 4 Deployment Guidelines 00:38:00 ESX Installation 00:06:00 ESX Management 00:06:00 Configuring Hostname Resolution and NTP 00:03:00 Troubleshooting ESX Server 00:08:00 Tools to Administer ESX Overview of 3rd Party Tools 00:31:00 ESX Configuration Commands 00:26:00 Configuring Networking Creating and Modifying Virtual Networks 00:46:00 Creating and Modifying Virtual Networks Using CLI 00:08:00 Configuring Storage Storage Concepts 00:13:00 iSCSI Storage (GUI and Command Line) 00:21:00 Fibre Channel Storage 00:05:00 VMFS Datastores (GUI and Command Line) 00:24:00 NAS Storage and NFS Datastores (GUI and Command Line) 00:12:00 Raw Device Mapping (RDM) 00:04:00 vCenter Server and Licensing Licensing 00:09:00 vCenter Server Installation 00:11:00 vCenter Server Inventory 00:04:00 Managing vCenter Server 00:11:00 Planning vCenter Server Deployment 00:10:00 Troubleshooting vCenter Server and Database 00:06:00 Troubleshooting the vSphere Client 00:03:00 VM Creation Configuration and Snapshots Create a VM 00:26:00 Create Multiple VMs, Templates and Clones 00:16:00 Virtual Appliances 00:04:00 VMware Converter (P2V - V2V) 00:15:00 Manage VMs 00:19:00 VM Startup Shutdown 00:03:00 VM Snapshots 00:08:00 Web Access 00:08:00 VM Troubleshooting 00:05:00 Security and Permissions Controlling User Access and Passwords 00:22:00 ESX Active Directory (AD) Integration 00:03:00 Managing Firewalls 00:07:00 SSH Access 00:06:00 Running Elevated Commands (su sudo setuid setgid) 00:08:00 VMsafe and vShield Zones 00:04:00 Advanced ESX and vCenter Management Configuring Vmotion 00:16:00 Storage VMotion 00:07:00 Distributed Resource Scheduler (DRS) Cluster 00:13:00 Resource Pools and Monitoring 00:24:00 vNetwork Distributed Virtual Switches 00:08:00 Host Profiles 00:03:00 Linked Mode Group of vCenter Servers 00:03:00 Patching and Upgrading ESX Patching ESX Server 00:04:00 Patching with Update Manager 00:14:00 Upgrades and Migrations 00:14:00 Disaster Recovery and Backup Site Recovery Manager (SRM) 00:03:00 High Availability (HA) 00:21:00 VM Fault Tolerance 00:04:00 Microsoft Clustering 00:03:00 Backup Strategies 00:08:00 Using VCB Command Line Utilities 00:06:00 VMware Data Recovery 00:05:00 Third Party Backups 00:06:00 Server and VM Monitoring Tools for Optimization 00:28:00 VM Performance Monitoring 00:16:00 Configuring Alarms 00:07:00 ESX and vCenter Logs 00:14:00 Installing and Configuring ESXi ESXi Overview 00:04:00 ESXi Installation 00:06:00 ESXi Management 00:10:00 Mock Exam Mock Exam- VMware Ultimate Bootcamp vSphere 4 00:20:00 Final Exam Final Exam- VMware Ultimate Bootcamp vSphere 4 00:20:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00