29264 Courses delivered Online

The IWFM Level 3 qualifications in workplace and facilities management are for you if you are a first-line manager or supervisor in workplace and facilities management or if you are new to the industry. They are designed to develop an understanding and knowledge of facilities management matters.On successful completion of these qualifications, recognition by employers enables learners to progress into or within employment and/or continue their study in the vocational area.

Diploma in Project and Quality Management - Level 7 is a 120 credits qualification. Project and quality management can be used in a variety of industries to bring projects in on time, on budget and to the right quality. Project management elements of this Diploma in Project and Quality Management - Level 7 course will focus on management techniques and applications to help you plan and implement activities to complete projects to your customers expectations. Quality management elements of the course will help you make sure that the outcome of the project is fit for your customer's purposes. Program Overview: Diploma in Project and Quality Management - Level 7 Key Highlights of Diploma in Project and Quality Management - Level 7 qualification are: Program Duration: 9 Months (Fast Track Mode Available) Program Credits: 120 Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Become eligible to gain direct entry into relevant Masters Degree programme. Alumni Status No Cost EMI Option Key facts about Level 7 Diploma in Project and Quality Management 100% Online: Study online with the UK's leading online course provider. Global programme: Study anytime, anywhere using your laptop, phone or a tablet. Study material: Comprehensive study material and e-library support available at no additional cost. Payment plans: Interest free monthly, quarterly and half yearly payment plans available for all courses. Why choose LSBR ? Transform your career: Enrol today and make a life changing decision, get necessary knowledge to transform your career. Move up in your career: With our fully accredited course, you can move up to the next level in your organisation with ease. Upgrade your skills: Add value to your current educational profile and achieve skill sets to compete in your job role. Cost effective: Typically a British qualification starts from GBP £3000 per annum, but with LSBR, you enjoy savings of up to 60% on your educational investment. Assessments: Assessment is done through written assignments and/ or dissertation project. Support: We offer live tutor support via online chat and email for all qualifications delivered by us. Career ProgressionLearners completing the Diploma in Project and Quality Management - Level 7 can progress to: A University partner to complete a dissertation to then receive a full master's degree, or Level 8 Diploma qualification, or Directly into employment in an associated profession University ExemptionsLearners can progress to a number of universities to complete a Master's Degree after completing their Diploma in Project and Quality Management - Level 7. This generally requires completion of a Dissertation only. The pathways are an indication of a learner's progress towards a university degree and are based on the university's review of Eduqual's learning programmes and outcomes. As our EduQual accredited qualifications are approved and regulated by Ofqual (Office of the Qualifications and Examinations Regulation)and Scottish Credit and Qualifications Framework (SCQF), learners are also eligible to progress to a Top-Up Degree, Master's programme, or MBA at many universities in UK and Overseas with advanced standing. Our qualifications are credit-rated for the Scottish Credit and Qualifications Framework (SCQF), a globally-recognised national qualifications framework aligned to other recognised frameworks such as the European Qualifications Framework (EQF) and the Ofqual Regulated Qualifications Framework (RQF).

Enrol in our Phlebotomy, Venipuncture & Vaccination Training for Healthcare Assistants to gain essential skills in blood collection and venepuncture techniques. This Level 3 diploma course offers flexible online learning, expert support, and a globally recognised CPD certificate. Perfect for aspiring medical professionals, this course empowers you to advance your career in healthcare.

Premium Bundle of all Time | Ofqual Regulation + NCFE Awards + CPD Accreditation | Assessment & Tutor Support Included

MySQL for developers training course description This MySQL Developers training course is designed for MySQL Developers who have a good understanding of a MySQL database and experience of using SQL commands. The course provides further practical experience in more advanced MySQL commands and SQL statements including Stored Routines, Triggers and Event Scheduling. What will you learn Provide the skills needed to write more advanced queries and database maintenance statements on a MySQL database. Use advanced features of the MySQL Client. Use advanced data types. Manage the structure of databases and tables. Manage and using indexes. Write complex SQL query statements. Use advanced SQL expressions. Use advanced SQL functions. Perform advanced Insert, Update, Delete, Replace and Truncate Operations. Use user variable syntax and properties. Import and export data from within MySQL. Import and export data from the command line. Perform complex joins to access multiple tables. Perform complex subqueries. Create, manage and us views. Use prepared statements. Create and use stored routines. Create and use triggers. Obtain database metadata. Optimize queries. Work with the main storage engines. Debug MySQL applications. MySQL for developers training course details Who will benefit: MySQL Developers who have a basic understanding of a MySQL database and SQL commands as covered on the Introduction to MySQL course. Prerequisites: MySQL foundation Duration 5 days MySQL for developers training course contents Introduction Administration and Course Materials, Course Structure and Agenda, Delegate and Trainer Introductions. Client/server concepts MySQL client/server architecture, Server modes, Using client programs, Logging in options, Configuration files, Precedence of logging in options Hands on Using client/server The MySQL client program Using MySQL interactively, The MySQL prompts, Client commands and SQL statements, Editing, Selecting a database, Help, Safe updates, Using script files, Using a source file, Redirecting output into a file, Command line execution, Mysql output formats, Overriding the defaults, Html and xml output, MySQL Utilities. Hands on Using the MySQL client program Data types Bit data type, Numeric data types, Auto_increment, Character string data types, Character sets and collation, Binary string data types, Enum and Set data types, Temporal data types, Timezone support, Handling Missing Or Invalid Data Values, SQL_MODE options. Hands on Using data types Identifiers Using Quotes with identifier naming, Case sensitivity in Identifier naming, Qualifying columns with table and database names, Using reserved words as identifiers, Function names Hands on Using identifiers Databases Database properties, Creating a database, Selecting a database, Altering databases, Dropping databases, Obtaining database metadata, The SHOW command, The INFORMATION_SCHEMA database, The SHOW CREATE command Hands on Using databases Tables and indexes Table properties, Creating tables, Create table using Select or Like, Temporary tables and memory tables, Altering tables, Adding columns, Changing column widths and types, Renaming columns, Dropping columns, Adding constraints, Dropping constraints, Renaming tables, Change the table storage engine, Multiple alterations, Dropping tables, Emptying tables, Obtaining table metadata, Show create table, The information_schema, Index introduction, Structure of a mysql index, Creating and dropping indexes, Creating an index, Altering a table to add an index, Specifying index type, Dropping indexes, Obtaining Index Metadata. Hands on Creating, altering and dropping tables/indexes Querying for data The SQL select statement and MySQL differences, Advanced order by, Order by and collation, Order by with enum datatype, Order by with Set datatype, Ordering with distinct and group by Special features of union, Limit and order by clauses, Group By clause, Group_concat, Using Rollup in a Group By clause. Hands on Querying for data SQL Expressions and functions Components of expressions, Nulls, Numeric expressions, String expressions, Temporal expressions, Comparison functions, Flow control functions, Numeric functions, String functions, Temporal functions. Hands on Using expressions and functions Updating data Update operations and privileges, Inserting rows, Insert using a set clause, Inserting duplicate values, Replacing rows, Updating rows, Update using the order by and limit clauses, Deleting rows, The delete and truncate statements. Exercise: Inserting, updating, replacing and deleting data Connectors MySQL client interfaces, MySQL connectors, Oracle and community conectors, Connecting to MySQL server using Java and PHP connectors, MySQL and NoSQL, Innodb integration with memcached. Obtaining database metadata What is metadata?, The mysqlshow utility, The show and describe commands, Describing tables, The information_schema, Listing tables, Listing columns, Listing views, Listing key_columns_usage. Hands on Obtaining database metadata Debugging Mysql error messages, The show statement, Show errors, Show count(*) errors, Show warnings, Show count(*) warnings, Note messages, The perror utility. Hands on Debugging Joins Overview of inner joins, Cartesian product, Inner joins with original syntax, Non equi-join, Using table aliases to avoid name clashes, Inner Joins With ISO/ANSI Syntax, Outer Joins, Left outer joins, Right outer joins, Full outer joins, Updating multiple tables simultaneously, Updating rows in one table based on a condition in another, Updating rows in one table reading data from another, Deleting from multiple tables simultaneously, Deleting rows in one table based on a condition in another. Hands on Coding joins Subqueries Types of subquery, Multiple-column subqueries, Correlated subqueries, Using the ANY, ALL and SOME operators, Using the EXISTS operator, Subqueries as scalar expressions, Inline views, Converting subqueries to joins, Using subqueries in updates and deletes. Hands on Coding subqueries Views Why views are used, Creating views, View creation restrictions, View algorithms, Updateable views, Altering and dropping views, Displaying information about views, Privileges for views. Hands on Using views Import and Export Exporting using SQL, Privileges required to export data, Importing using SQL, Messages when loading data, Privileges required to load data, Exporting from the command line, Mysqldump main options, Importing from the command line, Mysqlimport main options. Hands on Importing and exporting User variables and prepared statements Creating User variables, User variables in a select, Prepared statements, The prepare statement, The execute statement, The deallocate statement, Using prepared statements in code, with connectors. Hands on Using variables and prepared statements Introduction to stored routines Types of stored routines, Benefits of stored routines, Stored routine features, Differences between procedures and functions, Introduction to the Block, Declaring variables and constants, Assigning values to variables, Definer rights and invoker rights, Using SELECT in stored routines, Altering and dropping stored routines, Obtaining stored routine metadata, Stored routine privileges and execution security. Hands on Writing simple stored routines Stored routines - program logic The IF .. THEN .. ELSEIF construct, The CASE statement, The basic loop, The while loop, The repeat loop, The iterate statement, Nested loops. Hands on Writing stored routines with program logic Stored routines - exception handlers and cursors Dealing with errors using Exception handlers, Cursors, What is a cursor?, Cursor operations, Declaring cursors, Opening and closing cursors, Fetching rows, Status checking. Hands on Writing stored routines with program logic Procedures with parameters Creating procedures with parameters, Calling Procedures With Parameters. Hands on Writing stored routines with parameters Functions What is a function?, The create function statement, Executing functions, Executing functions from code, Executing functions from SQL statements, The deterministic and SQL clauses. Hands on Writing functions Triggers Trigger creation, Restrictions on triggers, The create trigger statement, Using the old and new qualifiers, Managing triggers, Destroying triggers, Required privileges. Hands on Writing triggers Basic optimizations Normalisation of data to third normal form, Using indexes for optimization, General query enhancement, Using Explain to analyze queries, Choosing an INNODB or MYISAM storage engine, Using MySQL Enterprise Monitor in query optimization. Hands on Making use of basic optimizations More about indexes Indexes and joins Hands on Investigating indexes and joins

Why Learn Revit and 3dsMax V-Ray Visualization Basic to Advance Training Course? Course info Master architectural visualization and photorealistic renderings. In-person or live online options available. Learn Revit and 3dsMax, V-Ray rendering, and advanced techniques. Hands-on projects for real-world experience. Duration: 40 hrs Method: 1-on-1 - Individual support. Schedule: Tailor your own schedule by pre-booking a convenient hour of your choice, available from Mon to Sat between 9 am and 7 pm. Comprehensive Training: Master Revit, 3dsMax, and advanced visualization techniques for exceptional results. V-Ray Rendering: Explore realistic rendering with V-Ray, including advanced techniques and materials. Real-World Projects: Work on industry-relevant projects for a professional portfolio. Flexible Learning: Choose in-person or live online sessions for an engaging experience. Lesson Recordings: Access recorded classes to reinforce your understanding. Lifetime Email Support: Get guidance and assistance from experienced instructors beyond the course duration. Autodesk Certified Instructors. Comprehensive Training: Master Revit, 3dsMax, and advanced visualization techniques for exceptional results. V-Ray Rendering: Explore realistic rendering with V-Ray, including advanced techniques and materials. Real-World Projects: Work on industry-relevant projects for a professional portfolio. Flexible Learning: Choose in-person or live online sessions for an engaging experience. Lesson Recordings: Access recorded classes to reinforce your understanding. Lifetime Email Support: Get guidance and assistance from experienced instructors beyond the course duration. Autodesk Certified Instructors. Part 1: Revit (16 hours) Module 1: Introduction to Revit Familiarizing with the Revit interface and workspace Embracing the Building Information Modeling (BIM) workflow Creating a fundamental building model as a starting point Module 2: Basic Modeling in Revit Working with essential elements such as walls, doors, and windows Constructing floors and roofs to complete the building structure Crafting functional and visually appealing stairs and railings Module 3: Advanced Modeling in Revit Delving into the creation and manipulation of families Utilizing parameters and constraints to enhance modeling efficiency Exploring intricate geometries for complex designs Module 4: Annotation and Documentation in Revit Enhancing project documentation by adding text and dimensions Generating informative schedules for better project management Mastering the printing and exporting processes for professional output Part 2: 3ds Max (16 hours) Module 1: Introduction to 3ds Max Navigating the 3ds Max interface and workspace Understanding the 3D modeling workflow for design visualization Initiating the creation of basic 3D models Module 2: Basic Modeling in 3ds Max Working with primitive shapes to build foundational models Creating and refining splines to form versatile shapes Advancing to complex 3D model development for intricate designs Module 3: Materials and Textures in 3ds Max Exploring the material editor and its functionalities Skillfully applying and adjusting materials for realistic renders Incorporating textures to add depth and detail to the models Module 4: Lighting and Cameras in 3ds Max Mastering the art of lighting creation and manipulation Utilizing the daylight system for enhanced realism Understanding cameras and perspectives for compelling visual storytelling Part 3: V-Ray (8 hours) Module 1: Introduction to V-Ray Getting acquainted with the V-Ray interface and workflow Exploring V-Ray materials and textures for high-quality renders Module 2: Lighting and Rendering in V-Ray Creating and refining lighting setups for stunning renders Utilizing global illumination to enhance the realism of scenes Implementing advanced rendering techniques for professional output Module 3: Materials and Textures in V-Ray Crafting and modifying V-Ray materials for realistic surfaces Applying V-Ray textures to add depth and realism to objects Utilizing V-Ray displacement maps for intricate details For 3ds Max free trial, visit: https://www.autodesk.co.uk/products/free-trial. To access the V-Ray free trial, visit: https://www.chaosgroup.com/. Start your journey to becoming a proficient designer and renderer in the world of 3D modeling and visualization. Download Revit Revit and 3dsMax V-Ray Visualization Basic to Advance Training Course: Proficient Software Skills: Acquire a strong command of Revit and 3dsMax, along with advanced techniques in V-Ray rendering. High-Quality Visualizations: Create realistic and visually stunning architectural visualizations using V-Ray. Architectural Modeling: Master the process of modeling architectural elements with precision and efficiency. Materials and Textures: Understand how to apply realistic materials and textures to enhance visualizations. Lighting Setup: Set up lighting environments to achieve optimal illumination and ambiance in renderings. Rendering Techniques: Explore advanced rendering techniques, including global illumination, caustics, and ambient occlusion. Real-World Projects: Complete industry-relevant projects to build a professional-grade portfolio. Problem-Solving Skills: Develop the ability to troubleshoot and resolve rendering challenges effectively. Efficient Workflows: Learn time-saving workflows and best practices for efficient visualization production. Portfolio Showcase: Showcase your newly acquired skills through a diverse range of visualizations.

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.

Embarking on the 'Observation Skills for Carers' course unveils an enthralling journey into the nuanced art of observing, understanding, and documenting the diverse needs of those in care. This comprehensive curriculum is designed with the utmost care by industry experts to provide learners with a profound understanding of observation, from its foundational principles to its real-world applications in varied contexts. Whether you're delving into the world of child observation, understanding the intricate layers of social policy, or analysing the nuances of clinical management, this course offers a holistic perspective, ensuring that carers are adeptly prepared to meet the multifaceted needs of those under their watchful eyes. At the outset, participants are seamlessly introduced to the core essence of observational skill, laying a robust groundwork for the themes ahead. As the journey unfolds, there's an emphasis on child observation, enlightening learners on crafting effective observation plans and documenting their crucial findings. The curriculum presents broader facets, encompassing varied observational methods, pivotal studies, and the intertwining realms of social policy with social work observation. The course's concluding segments pivot towards health observation, capturing everything from fundamental health indicators to intricate clinical management perspectives. This course shines brightly as an indispensable guide for those ardently honing their observational prowess. Its well-curated modules ensure every participant garners a deep understanding and the finesse to translate their knowledge into tangible actions. Be it for the novice carer or the adept professional seeking refinement, the 'Observation Skills for Carers' course is a monumental milestone in the progression of one's career. Learning Outcomes: Develop a foundational understanding of observation skills and their applications. Learn techniques for effective child observation and documentation. Create observation plans to monitor child development and behavior. Explore different observational methods and their use in research and practice. Understand the relationship between social policy and observations in social work. Gain basic health observation skills for monitoring patient well-being. Acquire clinical management observation techniques for patient care. Enhance skills in accurately documenting observations for communication and analysis. Why buy this Observation Skills for Carers? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Observation Skills for Carers there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? Caregivers and support workers in healthcare and social service sectors. Early childhood educators and childcare providers. Individuals pursuing careers in nursing, social work, and patient care. Anyone interested in enhancing their observation and documentation skills. Prerequisites This Observation Skills for Carers was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Childcare Practitioner: £20,000 - £25,000 annually. Clinical Observer: £25,000 - £32,000 annually. Social Work Assistant: £18,000 - £22,000 annually. Healthcare Support Worker: £17,000 - £21,000 annually. Child Observation Specialist: £23,000 - £28,000 annually. Clinical Management Analyst: £28,000 - £35,000 annually. Course Curriculum Module 01: Introduction to Observation Skill Introduction to Observation Skill 00:30:00 Module 02: Child Observation Child Observation 00:18:00 Module 03: Child Observation Plan and Documentation Child Observation Plan and Documentation 00:13:00 Module 04: Observational Methods and Studies Observational Methods and Studies 00:21:00 Module 05: Social Policy and Social Work Observation Social Policy and Social Work Observation 00:19:00 Module 06: Basic Health Observation Basic Health Observation 00:21:00 Module 07: Clinical Management Observation Clinical Management Observation 00:15:00 Assignment Assignment - Observation Skills for Carers 00:00:00

Developing the Business Case: In-House Training Business analysts must be able to create business case documents that highlight project benefits, costs, and risks. The business case is based on the real business need to be solved. These become parts of proposals, feasibility studies, and other decision support documents. This course teaches the purpose, structure, and content of a business case. It presents the basic techniques for determining financial ROI, non-tangible benefits, and the probability of meeting expectations. What you will Learn At the end of this program, you will be able to: Perform feasibility studies Justify the business investment to solve the business problem Prepare an effective business case document Plan and implement a business case approval process Foundation Concepts The role of the BA An introduction to the BABOK® Guide The business analyst and the product / project life cycle (PLC) The business case deliverable Introducing the Business Case Process The BA and strategy analysis The BA and the business case process (BCP) The BA during the business case process (BCP) The BA after the business case process (BCP) Importance of defining solution performance metrics Defining the Business Need Overview of defining the business need Business needs: problem / opportunity statement Product vision Objectives and constraints Exploring Business Case Solutions Overview of exploring solutions Solution identification for feasibility Solution definition for analysis Assessing project risks Justifying the Business Case Overview of justifying the business case Qualitative justification Quantitative justification Approving the Business Case Overview of business case approval Developing recommendations Preparing the decision package - documents Preparing the decision package - presentations

Duration 3 Days 18 CPD hours This course is intended for Delegates attending this course must have successfully achieved the ITIL 4 Foundation Qualification; your certificate must be presented as documentary evidence to gain admission to this course. Ideally candidates should have at least two years professional experience working in IT Service Management. The ITIL 4 HVIT Qualification would most likely suit the following delegates: Individuals continuing of their journey in service management ITSM managers and aspiring ITSM managers IT managers and practitioners involved in digital services or working in digital transformation projects, working within or towards high velocity environments Existing ITIL qualification holders wishing to develop their knowledge The above list is a suggestion only. Delegates may take as few or as many Intermediate qualifications as they require, and to suit their needs. Overview This course has been created to help IT service management practitioners working in organizations that are becoming more digitally enabled. The practitioners are familiar with traditional IT service management concepts, and now want to be able to discuss ?digital? with more confidence, to develop practical competences, and to be valued contributors in the digital domain. They want to improve how they and their co-workers: Help get customers? jobs done ? helping customers become who they seek to become Keep raising the bar ? taking things to a significantly higher level Trust and are trusted ? as professional knowledge workers in a healthy workplace Accept ambiguity and uncertainty - not scared of not knowing an answer Commit to continual learning ? all as part of their daily work The scope of the course is the primary activities in the digital value chain. In other words, what the practitioner does and which resources they use across the lifecycle of digital products, in order to: Make the right digital investments Realize and deliver digital products and services quickly Provide digital products and services that are highly resilient to disruption Ensure that the service consumer realizes value from the digital products and services Assure conformance of activities with governance, risk and compliance requirements. Understand and know how to use the key principles and methods of Organizational Change Management to direction, planning and improvement Understand and know how to use the key principles and methods of measurement and reporting in directing, planning and improvement Understand and know how to direct, plan and improve value streams and practices ITIL 4 is a framework for quality IT service management (ITSM) through proven best practice, providing practical and flexible guidance to support your organization on its journey to digital transformation while empowering your IT teams to continue to play a crucial role in the wider business strategy. This course highlights the ways in which digital organizations and digital operating models function in high-velocity environments, including the use of working practices such as Agile and Lean, and technical practices and technologies such as Cloud, Automation, and Automatic Testing. This class includes an exam voucher. Prerequisites ITIL© 4 Foundation 1 - THE NATURE OF HIGH-VELOCITY IN A DIGITAL WORLD Overview of the key ITIL 4 high-velocity terminology Understand when the transformation to high velocity IT is desirable and feasible Understand the five objectives associated with digital products ? to achieve: Valuable investments ? strategically innovative and effective application of IT Fast development - quick realization and delivery of IT services and IT-related products Resilient operations - highly resilient IT services and IT-related products Co-created value - effective interaction between service provider and consumer Assured conformance - to governance, risk and compliance (GRC) requirements. 2 - ITIL OPERATING MODEL ? DIGITAL PRODUCT LIFECYCLE Understand how high velocity IT relates to: The four dimensions of service management The ITIL service value system The service value chain The digital product lifecycle 3 - FUNDAMENTAL CONCEPTS FOR DELIVERING HVIT Understand the following concepts: Ethics Safety culture Toyota Kata Lean / Agile / Resilient / Continuous Service-dominant logic Design thinking Complexity thinking Use the principles, models and concepts to contribute to: Help get customers? jobs done Trust and be trusted Commit to performance Deal with uncertainty Improve by being inquisitive 4 - ACHIEVING VALUE WITH DIGITAL PRODUCTS Know how the service provider ensures valuable investments are achieved. Know how to use the following practices to contribute to achieving valuable investments: Portfolio management Relationship management Know how the service provider ensures fast deployment is achieved Know how to use the following practices to contribute to achieving fast deployment: Architecture management Business analysis Deployment management Service validation and testing Software development and management Know how the service provider ensures resilient operations are achieved Know how to use the following practices to contribute to achieving resilient operations: Availability management Capacity and performance management Monitoring and event management Problem management Service continuity management Infrastructure and platform management Know how the service provider ensures co-created value is achieved Know how to use the following practices to contribute to achieving co-created value with the service consumer: Relationship management Service design Service desk Know how the service provider ensures assured conformance is achieved Know how to use the following practices to contribute to achieving assured conformance: Information security management Risk management