27912 Development courses in Leicester delivered Online

Recent developments in data analytics and statistics underscore the critical importance of understanding both data structure and analytics methodologies in today's data-driven world. With the exponential growth of data, businesses are increasingly relying on skilled professionals who can harness the power of data to drive informed decision-making. Our comprehensive Data Structure, Data Analytics with Statistics & Data Science QLS Endorsed Diploma bundle, endorsed by the Quality Licence Scheme (QLS) and accredited by the CPD Quality Standards (QS), offers a holistic approach to mastering data structure, data analytics, and statistical techniques. In an era where data reigns supreme, organisations seek individuals who can navigate complex datasets with confidence and precision. This Data Structure, Data Analytics bundle equips learners with the essential skills and knowledge needed to excel in the field of data science and analytics. By delving into topics such as data manipulation, statistical analysis, and database management, participants gain a deep understanding of how to extract valuable insights from raw data. Moreover, our guided courses in career development and communication empower learners to effectively communicate their findings and advance their professional journey. Bundle Include includes: QLS Endorsed Courses: Course 01: Certificate in Data Analytics with Tableau at QLS Level 3 Course 02: Diploma in Data Structure at QLS Level 5 Course 03: Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 CPD QS Accredited Courses: Course 04: Business and Data Analytics for Beginners Course 05: Learn Financial Analytics and Statistical Tools Course 06: SQL For Data Analytics & Database Development Course 07: Big Data Analytics with PySpark Power BI and MongoDB Course 08: Google Data Studio: Data Analytics Course 09: Business Intelligence Analyst Course 10: Spatial Data Visualization and Machine Learning in Python Course 11: Data Analysis In Excel Take your career to the next level with our Data Structure, Data Analytics bundle that includes technical courses and five guided courses focused on personal development and career growth. Course 12: Career Development Plan Fundamentals Course 13: CV Writing and Job Searching Course 14: Networking Skills for Personal Success Course 15: Ace Your Presentations: Public Speaking Masterclass Course 16: Decision Making and Critical Thinking Seize this opportunity to elevate your career with our comprehensive Data Structure, Data Analytics bundle, endorsed by the prestigious QLS and accredited by CPD.Data Structure, Data Analytics with Statistics & Data Science QLS Endorsed Diploma. Learning Outcomes: Upon completion of this Data Structure, Data Analytics bundle, participants will be able to: Demonstrate proficiency in data analytics tools such as Tableau, SQL, and Google Data Studio through Data Structure, Data Analytics courses. Apply statistical techniques to analyse and interpret data for informed decision-making. Design and implement data structures to efficiently store and retrieve information. Utilise machine learning algorithms for predictive analysis and pattern recognition. Develop effective communication and presentation skills to convey insights to stakeholders. Navigate career development pathways in the field of data science and analytics. This Data Structure, Data Analytics course bundle provides a deep dive into the foundational principles of data structure, data analytics, and statistical methodologies. Participants will explore the fundamental concepts of data manipulation, including sorting, searching, and storing data efficiently. Through hands-on exercises and theoretical discussions, learners will gain a solid understanding of various data structures such as arrays, linked lists, trees, and graphs, along with their applications in real-world scenarios. Moreover, the Data Structure, Data Analytics bundle encompasses a comprehensive exploration of data analytics techniques, equipping participants with the skills to extract actionable insights from complex datasets. From descriptive and inferential statistics to predictive modelling and machine learning algorithms, learners will discover how to uncover patterns, trends, and correlations within data, enabling informed decision-making and strategic planning. Throughout the Data Structure, Data Analytics course, emphasis is placed on practical applications and case studies, allowing participants to apply their knowledge to solve real-world problems in diverse domains. CPD 160 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data Structure, Data Analytics course is perfect for: Aspiring data analysts seeking to enhance their analytical skills acrod Data Structure, Data Analytics courses. Professionals transitioning into roles requiring proficiency in data analytics. Students pursuing careers in data science, statistics, or related fields. Business professionals looking to leverage data for strategic decision-making. Individuals interested in advancing their career prospects in the field of data analytics. Anyone seeking to gain a comprehensive understanding of data structure, analytics, and statistics. Requirements You are warmly invited to register for this bundle. Please be aware that there are no formal entry requirements or qualifications necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment. Career path Upon completion of the Data Structure, Data Analytics courses, you will be able to: Data Analyst Business Intelligence Analyst Data Scientist Statistician Database Administrator Machine Learning Engineer Data Engineer Certificates 13 CPD Quality Standard Certificates Digital certificate - Included 3 QLS Endorsed Certificates Hard copy certificate - Included

The aim of the Level 2 Diploma in Care (Accredited by Qualifi, UK) is to confirm occupational competence for Adult Care Workers or Healthcare Support Workers. This Level 2 Diploma in Care qualification offers the opportunity for learners to demonstrate their knowledge, understanding and practical skills required to be an Adult Care Worker in an adult care setting or a Healthcare Assistant; Support Worker or Personal Assistant in a healthcare support environment. At Level 2, the UK sector skills council decided that there would be a common qualification for both Health and Adult Care settings. This means that there will be no barrier to entering either the Adult Care or Health Workforces. The content of the Level 2 Diploma in Care qualification links with the knowledge and skills required for the Apprenticeship Standards 'Adult Care Worker' and 'Healthcare Support Worker'. The content is applicable to a variety of roles, examples of which are included below: Adult care worker Healthcare Assistant / Support Worker Personal Assistant The Level 2 Diploma in Care will require learners to demonstrate understanding and effective practice in the following areas: Communication Person development Values and behaviours Health and wellbeing Responsibilities Safeguarding The Level 2 Diploma in Care qualification links with the requirements for the National Occupational Standards (NOS) for Health and Social Care. Program Overview: Level 2 Diploma in Care Key Highlights of Level 2 Diploma in Care qualification are: Program Duration: 9 Months (Fast track mode available) Program Credits: 46 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 Master's degree programme. Alumni Status No Cost EMI Option Mandatory units (Total Credits: 24) The Qualifi Level 2 Diploma in Care qualification consists of 9 mandatory units for a combined total of 24 credits Communication in Care Settings (3 credits) Duty of Care (1 credits) Equality, Diversity and Inclusion in Care Settings (2 credits) Handle Information in Care Settings (1 credits) Health, Safety and Well-being in Care Settings (4 credits) Implement Person-Centred Approaches (5 credits) Personal Development in Care Settings (3 credits) Responsibilities of a Care Worker (2 credits) Safeguarding and Protection in Care Settings (3 credits) Optional Units (Total Credits: 22) The learner must also achieve a minimum of 22 credits from these units. Introductory Awareness of Autistic Spectrum Conditions (2 credits) Understand the Context of Supporting People with Learning Disabilities (4 credits) Assist in the Administration of Medication (4 credits) Contribute to Support Positive Risk-Taking of Individuals (3 credits) Contribute to Support Learning Disabilities to Access Healthcare (3 credits) Promote Positive Behaviour Support (6 credits) Awareness of the Mental Capacity Act 2005 (3 credits) Understand Mental Health Problems (3 credits) Understand Mental Well-Being and Mental Health Promotion (3 credits) Enable Individuals to Develop Strategies to Manage their Behaviour (8 credits) Support Independence in the Tasks of Daily Living (5 credits) Understand how to Support Individuals to be part of a Community (3 credits) Understand the Impact of Acquired Brain Injury on Individuals (3 credits) Who is this course for? At Level 2, the UK sector skills council decided that there would be a common qualification for both Health and Adult Care settings. This means that there will be no barrier to entering either the Adult Care or Health Workforces. The content of the Level 2 Diploma in Care qualification links with the knowledge and skills required for the Apprenticeship Standards 'Adult Care Worker' and 'Healthcare Support Worker'. The content is applicable to a variety of roles, examples of which are included below: Adult care worker Healthcare Assistant / Support Worker Personal Assistant Requirements The Level 2 Diploma in Care will require learners to demonstrate understanding and effective practice in the following areas: Communication Person development Values and behaviours Health and wellbeing Responsibilities Safeguarding Career path Achievement of Level 2 Diploma in Care qualification confirms the learner has gained the knowledge and skills required to: Gain employment as a Healthcare Assistant / Support Worker or Adult Care Worker / Personal Assistant Progress onto the Qualifi Level 3 Diploma in Health and Social Care Progress onto the Level 3 Lead Adult Care Worker Apprenticeship.

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

Official BRCGS Product Safety Management course: HARA Delivered online (Zoom) by a live BRCGS Approved Training Partner. Exam and Certificate fee included in the price.

The objective of Level 7 Diploma in Human Resource Management qualification (accredited by OTHM, UK) is to provide learners with the skills and understanding in Human Resource Management (HRM) that align with good strategic decision making to maintain organisations' competitive advantage. You will acquire knowledge through an integrated approach of theory in Human Resource Management and practice using real-time activities. Successful completion of this qualification will develop learners' Strategic Human Resource Management and Leadership skills and their ability to focus on the requirements of implementing an organisation's strategy. The Level 7 Diploma in Human Resource Management qualification enables learners to progress into or within employment and/or to work toward a relevant Master's programme with advanced standing. Level 7 Diploma in Human Resource Management Key Highlights of Level 7 Diploma in Human Resource Management programme are: Program Duration: 9 Months (Can be Fast tracked) Program Credits: 120 Credits 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 Master's degree programme. LSBR Alumni Status No Cost EMI Option The Level 7 Diploma in Human Resource Management will develop and enhance your knowledge and skills in Human Resource Management (HRM) that align with good strategic decision making to maintain organisations' competitive advantage. It will also acquire knowledge through an integrated approach of theory in HRM and practice using real-time activities. Upon successful completion of this Level 7 Diploma in Human Resource Management programme, you will also become eligible to gain direct entry into relevant Master's and MBA degree programme. Mandatory units (Total Credits: 120) The OTHM Level 7 Diploma in Human Resource Management qualification consists of 6 mandatory units for a combined total of 120 credits Strategic Human Resource Management (20 credits) Engagement of Employees and Organisational Learning (20 credits) Leadership Development and Performance Management (20 credits) Global Resourcing, Talent and Reward Management (20 credits) Managing Employment Relations and Employment Law (20 credits) Research Methods (20 credits) Who is this course for? Working Professionals Level 6 / Year 3 of a three-year UK Bachelor's degree holders or learners who are looking for Career Progression. A formal Postgraduate qualification leading to award of degrees in future. Requirements For entry onto the Level 7 Diploma in Human Resource Management qualification, learners must possess : An honours degree in related subject or UK level 6 diploma or an equivalent overseas qualification. Learner must be 18 years or older at the beginning of the course. No formal qualification is required from mature learners (over 21 years) who have relevant management experience. Please speak to the Admission Counsellors for waiver information. Career path Become eligible to gain direct entry into relevant Master's degree programme after completion of your qualification Completion of your qualification will meet the University standard academic entry requirements. However, each applicant will be subject to individual assessment and other entry requirements which may affect university entry.

Looking to build an AI application from scratch? Look no further than this compact course with ChatGPT! Using the OpenAI API and the latest web development technologies, including React, Next.js, JavaScript, Node, and CSS, you will gain hands-on experience building an AI-powered application that generates pet names for users.

Duration 4 Days 24 CPD hours This course is intended for This intermediate course is designed for integration specialists and senior-level developers with experience in IBM Integration Bus application development. Overview After completing this course, you should be able to:Use event driven message processing to control the flow of messages by using message aggregation, message collections, message sequences, and time-sensitive nodesTransform data by using Microsoft .NET and XML stylesheetsAnalyze and filter information in complex XML documentsExtend DFDL message modelsUse message sets and the Message Repository Manager (MRM) parserProvide a message flow application as a web serviceRequest a web service from within a message flowDescribe how to implement WS-Addressing and WS-Security standards in IBM Integration BusCreate an integration serviceCreate and implement an IBM MQ request and response service definitionCreate and implement a database service definitionConfigure security-enabled message processing nodesCreate a decision service that implements business rules to provide routing, validation, and transformationExpose a set of integrations as a RESTful web serviceUse a global cache to store static dataRecord and replay data that a message flow application processesImplement publish and subscribe with IBM Integration BusDescribe the workload management options for adjusting the message processing speed, and controlling the actions that are taken on unresponsive flows and threadsConstruct user-defined patternsDescribe how IBM Integration Bus integrates with other IBM products such as IBM WebSphere Enterprise Service Bus and IBM DataPower Appliances This course focuses on using IBM Integration Bus to develop, deploy, and support platform-independent message flow applications and integration services. Course Outline Course introduction Using event driven processing nodes Exercise: Implementing message aggregation Transforming data with Microsoft .NET Transforming data with XSL stylesheets Analyzing XML documents Modeling complex data with DFDL Exercise: Extending a DFDL model Working with message sets and the MRM domain Supporting web services Exercise: Implementing web services Developing integration solutions by using integration services Exercise: Creating an integration service Connecting a database by using a discovered service Connecting IBM MQ by using a discovered service Exercise: Creating IBM MQ and database services Creating a decision service Exercise: Creating a decision service Developing integration solutions by using a REST API Using the global cache Implementing message flow security Exercise: Implementing IBM Integration Bus runtime security Implementing publish/subscribe Monitoring message flow events Exercise: Recording and replaying message flow data Managing the workload Creating patterns for reusability Extending IBM Integration Bus Course summary Additional course details: Nexus Humans WM676 IBM Integration Bus V10 Application Development II training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the WM676 IBM Integration Bus V10 Application Development II course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Feeling Stuck in Your Career? The Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! Bundle is Your Skill-Building Solution. This exceptional collection of 30 premium courses is designed to encourage growth and improve your career opportunities. Suited to meet different interests and goals, the Python for Data Science and Machine Learning bundle provides an engaging learning experience, helping you learn skills across various disciplines. With Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! Bundle, you'll have a personalised journey that aligns with your career goals and interests. This comprehensive package helps you confidently tackle new challenges, whether entering a new field or enhancing your existing knowledge. The Python for Data Science and Machine Learning bundle is your gateway to expanding your career options, increasing job demand, and enhancing your skill set. 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Duration 2 Days 12 CPD hours This course is intended for Leaders and professionals who manage teams or groups and are responsible for their outcomes will benefit from this course. Overview Apply techniques to encourage participation and reach consensus Utilize facilitative questioning techniques Recognize indicators to facilitate each stage of the team process Deal constructively with disruptions and typical problem behavior Implement interventions appropriately Plan and run a focused discussion, meeting or event Students will learn how to develop and apply facilitation techniques to support their team at every stage of the team life cycle. Students will enhance their interpersonal competencies and observational abilities to deal with disruptions and more. Private classes on this topic are available. We can address your organization?s issues, time constraints, and save you money, too. Contact us to find out how. 1. The Importance of Facilitation Being an Effective Facilitator Harnessing Knowledge, Experience, and Diversity Encouraging Group Motivation and Commitment Observing the Team Process 2. Facilitating Process and Content Identifying Process and Content Elements Managing the Flow Resolving Tensions and Disagreement 3. Setting the Stage for Facilitation Laying the Groundwork, Educating Participants, and Securing Support Selecting the Right Facilitator Planning for a Facilitated Meeting 4. Facilitating Team Development Encouraging Participation Recognizing Stages in the Team Life Cycle Supporting the Team through the Stages 5. Building Consensus and Reaching Decisions Gathering and Presenting Data Synthesizing and Summarizing Identifying Options and Brainstorming Facilitating SWOT Analysis Creating a Short List Using the Multi-Option technique 6. Disruptions, Dysfunctions and Interventions Handling Disruptions and Difficult Behavior Addressing Dysfunction Agreeing on Ground Rules Restating and Reframing

With this hands-on video course, you'll gain a solid understanding of AWS, DevOps, and deployments at scale using ECS with the help of examples and activities. Throughout the course, you'll get to grips with a wide variety of AWS services.