27921 Courses

This is a practical ‘non medical’ day for front line practitioners working with children and young people with serious attachment issues arising from loss, trauma and abuse. We look at what Psychology may help us in our understanding of children who have faced issues with love and attachment. Splitting, handling projected feelings, constancy and permanence are explored. Online Course now available via Teachable Platform – Understanding Attachment Learn at your own pace… lots of text and video support Course Category Meeting emotional needs Behaviour and Relationships Inclusion Teaching and Learning Description This is a practical ‘non medical’ day for front line practitioners working with children and young people with serious attachment issues arising from loss, trauma and abuse. Drawing from the international research and literature and our own experience over many years as educational psychologists of the challenges of children with major social and emotional needs, we will explore together what the best practice can and could look like. We explore the language of attachment and outline very practical classroom strategies. We look at what Psychology may help us in our understanding of children who have faced issues with love and attachment. We explore the feelings of being on a desolate island of relational poverty or to imagine swimming with sharks. We explore the themes of violence, anxiety and experience of being a victim as young people grow older. We look at telling lies and explore how we can respectfully understand this. We reveal the new and innovative compass of vulnerability – the cognitive errors to which some are much more vulnerable. We look at triggers, self regulation and unpack a range of strategies.  Transference and counter transference are examined along with splitting, handling projected feelings, constancy and permanence. We explore what young people with these difficulties really need from us. We also spend time looking at the emotional impact on practitioners working with children with such needs and what helps at an personal and team level. We can all do something – we do not have to wait for expert therapists to arrive!  Testimonials Very moving presentation I will always try and think behind the behaviour now It had a huge impact on all levels We all seem to need it Belonging and feelings are so important Very user friendly Excellent! Learning Objectives Increased confidence regarding developing inclusive practice for children with serious attachment needs in mainstream schools Simple understandable explanation of attachment understood Access to a wider range of practical strategies to impact on social and behavioural needs Deeper understanding of core values surrounding inclusion of emotionally disabled children Opportunity to reflect on professional attitudes and behaviour towards parents and pupils with complex emotional needs New skills, scripts and processes to make inclusion successful Who Is It For ? Practitioners working in schools and other settings with children and young people of all ages Key workers Teaching Assistants with support roles Heads and deputies SENCOs Advanced skills teachers Primary and secondary classroom teachers Parents Local authority support services Course Content The course explores the questions : How can we start to develop an understanding of children with attachment needs? What is the true impact of loss, trauma and abuse? What else can we do to go about including high profile children or young people with challenging emotional needs? What useful psychological constructs can we use to guide us? This course also explores practical strategies and language for key adults rebuilding relationships with individual pupils. This is a participative day that aims to be explorative and practical. Opportunities to develop empathy with the children of concern will be created.

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Why Choose Adobe Illustrator and Photoshop Training Course? Click here for more info Master vector graphics, digital illustrations, photo manipulations, and more. Certified tutors provide personalized guidance and feedback. Flexible scheduling available. Receive a Certificate of Completion. Learn Adobe Creative Cloud. Duration: 10 hrs. Method: 1-on-1, Personalized attention. 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. This comprehensive and hands-on course introduces you to digital design through Adobe Photoshop and Illustrator. Learn how these three programs seamlessly collaborate to create stunning designs. Gain insights into bitmap and vector graphics and discover the most suitable image file formats for different scenarios. 10-hour course outline for Adobe Photoshop and Illustrator: Module 1: Introduction to Adobe Photoshop (1 hour) Overview of Photoshop interface and tools Understanding bitmap graphics and resolution Basic image editing techniques (cropping, resizing, color adjustments) Layers and their importance in design Module 2: Essential Photoshop Tools (1 hour) Working with selection tools (Marquee, Lasso, Magic Wand) Understanding brushes and brush settings Introduction to the Pen tool for precise selections Working with layers and layer styles Module 3: Advanced Image Editing (1 hour) Advanced color adjustments (Curves, Levels, Hue/Saturation) Photo retouching and manipulation techniques Creating composite images using blending modes Filters and special effects for creative designs Module 4: Introduction to Adobe Illustrator (1 hour) Overview of Illustrator interface and tools Working with vector graphics and paths Basic shapes and drawing tools Understanding anchor points and handles Module 5: Creating Vector Artwork (1 hour) Using the Pen tool for precise vector illustration Creating and editing shapes and objects Working with gradients and patterns Understanding the Appearance panel Module 6: Illustrator Typography (1 hour) Text tools and formatting options Creating text effects and artistic typography Combining text with shapes and images Working with text on a path Module 7: Combining Photoshop and Illustrator (1 hour) Importing Illustrator files into Photoshop and vice versa Working with smart objects and vector shapes in Photoshop Creating custom brushes and patterns in Illustrator for use in Photoshop Designing posters and flyers combining elements from both software Module 8: Integration with InDesign (1 hour) Exporting assets from Photoshop and Illustrator for InDesign Designing layouts in InDesign using assets from both programs Understanding print and digital design considerations Preparing files for printing and online use Module 9: Advanced Techniques and Tips (1 hour) Creating custom actions and automation in Photoshop Mastering advanced selection techniques Utilizing Illustrator's advanced tools (Pathfinder, Shape Builder, etc.) Exploring creative design styles and trends Module 10: Final Projects and Portfolio (1 hour) Students work on individual or group projects incorporating Photoshop and Illustrator skills Review and feedback on the projects Preparing a portfolio showcasing their work Download Adobe Illustrator - Free Trial https://www.adobe.com/uk/illustrator Throughout the course, you will explore various processes, including design and layout, workspaces, tools and palettes, importing files, and preparing files for both on-screen and print outputs. Course Objectives: By the course's conclusion, you will have a solid understanding of the fundamentals of each software package and their individual functionalities. You will learn how to efficiently work with all three applications in tandem and skillfully assemble print and digital-ready designs, leveraging elements crafted in Photoshop and Illustrator and integrated using InDesign.

Ensuring that you provide the level of service that your customers want to be delivered through your people. This programme develops the skills and behaviours that enhance the experience that your customers receive.

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Getting Started The main aim of the OTHM Level 7 Diploma in Data Science is to enhance the knowledge and skills required to extract business-oriented insights from data. This involves comprehending how value and information circulate in a business and utilising this knowledge to recognise potential business prospects.The main aim of the OTHM Level 7 Diploma in Data Science is to enhance the knowledge and skills required to extract business-oriented insights from data. This involves comprehending how value and information circulate in a business and utilising this knowledge to recognise potential business prospects. Key Benefits This qualification will bring you many vital benefits, such as; Learners can gain the essential subject knowledge needed to progress successfully into further study or the world of work. Refreshed content that is closely aligned with employer and higher education needs Develop a comprehensive knowledge of classical data analytics, including statistical inference, predictive modelling, time series analysis and data reduction. Become familiar with and use the tools and techniques used in data visualisation. Assessments that consider cognitive skills along with affective and applied skills Key Highlights Do you wish to be a Data Scientist? Then, The OTHM Level 7 Diploma in Data Science program offered by the School of Business and Technology London is the right solution for you. 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 OTHM-approved tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we 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 The OTHM Level 7 Diploma in Data Science can open many career pathways including, but not limited to: Data scientist- Est. Salary £59,680 Data Analyst- Est. Salary £42,984 Business Analyst-Est. Salary £54,413   About Awarding Body OTHM is an established and recognised Awarding Organisation (Certification Body) launched in 2003. OTHM has already made a mark in the UK and global online education scenario by creating and maintaining a user-friendly and skill based learning environment. OTHM has both local and international recognition which aids OTHM graduates to enhance their employability skills as well as allowing them to join degree and/or Master top-up programmes. OTHM qualifications has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. 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- Data Science Foundations Reference No : Unit 1 - F/650/5562 Credit : 20 || TQT : 200 Hours This unit introduces various data science concepts, including data administration, governance, and big data sources. UNIT2- Probability and Statistics for Data Analysis Reference No : Unit 2 - H/650/5563 Credit : 20 || TQT : 200 Hours The objective of this unit is to offer a comprehensive introduction to the fundamental principles of probability and statistics, starting from the basics. It will cover a wide spectrum of data analysis procedures and methodologies. UNIT3- Advanced Predictive Modeling Reference No : Unit 3 - J/650/5564 Credit : 20 || TQT : 200 Hours You will become acquainted with key predictive modelling methods and their underlying foundational principles in this unit. UNIT4- Data Analysis and Visualisation Reference No : Unit 4 - K/650/5565 Credit : 20 || TQT : 200 Hours This unit serves as a crucial foundation for grasping the core concepts of the data analysis process, encompassing data collection, data cleansing, data analysis, and the effective communication of insights through visualisations and dashboard tools. UNIT5- Data Mining Machine Learning and Artificial Intelligence Reference No : Unit 5 - J/650/5573 Credit : 20 || TQT : 200 Hours The primary aim of this unit is to provide an introduction to the scientific principles underpinning machine intelligence and to explore the philosophical discourse surrounding the endeavour to simulate human intelligence for addressing real-world challenges. UNIT6- Advanced Computing Research Methods Reference No : Unit 6 - L/650/5566 Credit : 20 || TQT : 200 Hours This unit aims to enhance learners' skills in preparing for diverse forms of academic computing research by guiding them through creating and designing a research proposal. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Duration 3 Days 18 CPD hours This course is intended for This is an introductory-level course designed to teach experienced systems administrators how to install, maintain, monitor, troubleshoot, optimize, and secure Hadoop. Previous Hadoop experience is not required. Overview Working within in an engaging, hands-on learning environment, guided by our expert team, attendees will learn to: Understand the benefits of distributed computing Understand the Hadoop architecture (including HDFS and MapReduce) Define administrator participation in Big Data projects Plan, implement, and maintain Hadoop clusters Deploy and maintain additional Big Data tools (Pig, Hive, Flume, etc.) Plan, deploy and maintain HBase on a Hadoop cluster Monitor and maintain hundreds of servers Pinpoint performance bottlenecks and fix them Apache Hadoop is an open source framework for creating reliable and distributable compute clusters. Hadoop provides an excellent platform (with other related frameworks) to process large unstructured or semi-structured data sets from multiple sources to dissect, classify, learn from and make suggestions for business analytics, decision support, and other advanced forms of machine intelligence. This is an introductory-level, hands-on lab-intensive course geared for the administrator (new to Hadoop) who is charged with maintaining a Hadoop cluster and its related components. You will learn how to install, maintain, monitor, troubleshoot, optimize, and secure Hadoop. Introduction Hadoop history and concepts Ecosystem Distributions High level architecture Hadoop myths Hadoop challenges (hardware / software) Planning and installation Selecting software and Hadoop distributions Sizing the cluster and planning for growth Selecting hardware and network Rack topology Installation Multi-tenancy Directory structure and logs Benchmarking HDFS operations Concepts (horizontal scaling, replication, data locality, rack awareness) Nodes and daemons (NameNode, Secondary NameNode, HA Standby NameNode, DataNode) Health monitoring Command-line and browser-based administration Adding storage and replacing defective drives MapReduce operations Parallel computing before MapReduce: compare HPC versus Hadoop administration MapReduce cluster loads Nodes and Daemons (JobTracker, TaskTracker) MapReduce UI walk through MapReduce configuration Job config Job schedulers Administrator view of MapReduce best practices Optimizing MapReduce Fool proofing MR: what to tell your programmers YARN: architecture and use Advanced topics Hardware monitoring System software monitoring Hadoop cluster monitoring Adding and removing servers and upgrading Hadoop Backup, recovery, and business continuity planning Cluster configuration tweaks Hardware maintenance schedule Oozie scheduling for administrators Securing your cluster with Kerberos The future of Hadoop

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