2788 Intelligence courses delivered Online

Duration 3 Days 18 CPD hours This course is intended for Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform Overview This course teaches students the following skills: Derive insights from data using the analysis and visualization tools on Google Cloud Platform Interactively query datasets using Google BigQuery Load, clean, and transform data at scale Visualize data using Google Data Studio and other third-party platforms Distinguish between exploratory and explanatory analytics and when to use each approach Explore new datasets and uncover hidden insights quickly and effectively Optimizing data models and queries for price and performance Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. Introduction to Data on the Google Cloud Platform Highlight Analytics Challenges Faced by Data Analysts Compare Big Data On-Premises vs on the Cloud Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud Navigate Google Cloud Platform Project Basics Lab: Getting started with Google Cloud Platform Big Data Tools Overview Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools Demo: Analyze 10 Billion Records with Google BigQuery Explore 9 Fundamental Google BigQuery Features Compare GCP Tools for Analysts, Data Scientists, and Data Engineers Lab: Exploring Datasets with Google BigQuery Exploring your Data with SQL Compare Common Data Exploration Techniques Learn How to Code High Quality Standard SQL Explore Google BigQuery Public Datasets Visualization Preview: Google Data Studio Lab: Troubleshoot Common SQL Errors Google BigQuery Pricing Walkthrough of a BigQuery Job Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs Optimize Queries for Cost Lab: Calculate Google BigQuery Pricing Cleaning and Transforming your Data Examine the 5 Principles of Dataset Integrity Characterize Dataset Shape and Skew Clean and Transform Data using SQL Clean and Transform Data using a new UI: Introducing Cloud Dataprep Lab: Explore and Shape Data with Cloud Dataprep Storing and Exporting Data Compare Permanent vs Temporary Tables Save and Export Query Results Performance Preview: Query Cache Lab: Creating new Permanent Tables Ingesting New Datasets into Google BigQuery Query from External Data Sources Avoid Data Ingesting Pitfalls Ingest New Data into Permanent Tables Discuss Streaming Inserts Lab: Ingesting and Querying New Datasets Data Visualization Overview of Data Visualization Principles Exploratory vs Explanatory Analysis Approaches Demo: Google Data Studio UI Connect Google Data Studio to Google BigQuery Lab: Exploring a Dataset in Google Data Studio Joining and Merging Datasets Merge Historical Data Tables with UNION Introduce Table Wildcards for Easy Merges Review Data Schemas: Linking Data Across Multiple Tables Walkthrough JOIN Examples and Pitfalls Lab: Join and Union Data from Multiple Tables Advanced Functions and Clauses Review SQL Case Statements Introduce Analytical Window Functions Safeguard Data with One-Way Field Encryption Discuss Effective Sub-query and CTE design Compare SQL and Javascript UDFs Lab: Deriving Insights with Advanced SQL Functions Schema Design and Nested Data Structures Compare Google BigQuery vs Traditional RDBMS Data Architecture Normalization vs Denormalization: Performance Tradeoffs Schema Review: The Good, The Bad, and The Ugly Arrays and Nested Data in Google BigQuery Lab: Querying Nested and Repeated Data More Visualization with Google Data Studio Create Case Statements and Calculated Fields Avoid Performance Pitfalls with Cache considerations Share Dashboards and Discuss Data Access considerations Optimizing for Performance Avoid Google BigQuery Performance Pitfalls Prevent Hotspots in your Data Diagnose Performance Issues with the Query Explanation map Lab: Optimizing and Troubleshooting Query Performance Advanced Insights Introducing Cloud Datalab Cloud Datalab Notebooks and Cells Benefits of Cloud Datalab Data Access Compare IAM and BigQuery Dataset Roles Avoid Access Pitfalls Review Members, Roles, Organizations, Account Administration, and Service Accounts

This course starts with data transformation strategies, exploring capabilities in the Power Query Editor, and data-cleansing practices. It looks at the Advanced Query Editor to view the M language code. This course focuses on advanced DAX measures that include filtering conditions, with a deep dive into time intelligence measures. Like the M query language, DAX is a rich functional language that supports variables and expression references. This course also looks at the creation of dynamic dashboards and incorporates a range of visualisations available in Power BI Desktop and online in the AppSource. The course finishes with a look at setting up end user level security in tables. 1 The query editor Split by row delimiter AddDays to determine deadlines Advanced query editor 2 Fuzzy matching joins Matching inconsistencies by percentage Matching with transformation table 3 Logical column functions Logical functions IF, AND, OR Using multiple conditions Including FIND in functions 4 Editing DAX measures Make DAX easier to read Add comments to a measure Using quick measures 5 The anatomy of CALCULATE Understanding CALCULATE context filters Adding context to CALCULATE with FILTER Using CALCULATE with a threshold 6 The ALL measure Anatomy of ALL Create an ALL measure Using ALL as a filter Use ALL for percentage 7 DAX iterators Anatomy of iterators A closer look at SUMX Using RELATED in SUMX Create a RANKX RANKX with ALL 8 Date and time functions Overview of functions Create a DATEDIFF function 9 Time intelligent measures Compare historical monthly data Create a DATEADD measure Creating cumulative totals Creating cumulative measures Visualising cumulative totals 10 Visualisations in-depth Utilising report themes Create a heatmap Comparing proportions View trends with sparklines Group numbers using bins Setting up a histogram 11 Comparing variables Visualising trendlines as KPI Forecasting with trendlines Creating a scatter plot Creating dynamic labels Customised visualisation tooltips Export reports to SharePoint 12 User level security Setting up row level security Testing user security

This is a complete crash course about KNIME for beginners. Here, we will learn how to do data cleaning and data preparation without any code, using KNIME. We will also cover data visualization using Tableau and Power BI Desktop. Then we will understand the predictive analytics capabilities of KNIME and finally, cover machine learning in KNIME.

24-Hour Knowledge Knockdown! Prices Reduced Like Never Before [Updated: February 2024] Did you know that 75% of employees report feeling stressed at work in the UK? Imagine being the person who can help them find clarity and direction. Are you ready to become a catalyst for positive change in people's lives? If you're passionate about personal development and empowering others, this comprehensive Diploma in Life Coaching and Counselling could be the perfect starting point for your rewarding career. Our comprehensive programme goes beyond basic life coaching. You'll receive advanced training in areas like transformational leadership, emotional intelligence, and decision-making in high-pressure situations. Develop your interpersonal skills to build strong client relationships, learn how to effectively manage performance, and master the art of public speaking and presentations. This Life Coaching and Counselling Training at QLS Level 7 course is endorsed by The Quality Licence Scheme and accredited by CPD QS (with 180 CPD points) to make your skill development & career progression more accessible than ever! With a single payment, you will gain access to Life Coaching and Counselling course, including 10 premium courses, a QLS Endorsed Hardcopy certificate (for the title course) and 11 PDF certificates for Absolutely free. This Life Coaching and Counselling Bundle Package includes: Main Course: Advanced Diploma in Life Coaching and Counselling at QLS Level 7 10 Additional CPD Accredited Premium Courses - Course 01: Transformational Leadership: Ultimate Leadership Course Course 02: Developing Interpersonal Skills Course Course 03: Becoming Career Smart: How to Sell Yourself Course 04: Diploma in Performance Management Course 05: Coping Skills for Better Life Course 06: Effective Methods of Public Speaking and Presentation Skill Course 07: Presentation Skills Guideline Course 08: Emotional Intelligence and Human Behaviour Course 09: Decision-Making in High-Stress Situations Course 10: Communication Skills Masterclass This Life Coaching and Counselling training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence! Learning Outcomes of Life Coaching and Counselling Gain expertise in transformational leadership for effective coaching and mentoring. Develop advanced interpersonal skills to build strong professional relationships. Master performance management techniques to drive team success. Learn practical coping strategies for enhancing personal resilience. Acquire public speaking skills to engage and inspire diverse audiences. Understand and apply emotional intelligence for better decision-making and behaviour management. Why Choose Us? Get a Free QLS Endorsed Certificate upon completion of Life Coaching and Counselling Get a free student ID card with Life Coaching and Counselling Training program (£10 postal charge will be applicable for international delivery) The Life Coaching and Counselling is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Get Lifetime access to the Life Coaching and Counselling course materials The Life Coaching and Counselling comes with 24/7 tutor support Start your learning journey straightaway! *** Course Curriculum *** Main Course: Advanced Diploma in Life Coaching and Counselling at QLS Level 7 Introduction PART 1: LIFE COACHING CERTIFICATION Coaching Fundamentals Understanding Personalities Coaching Models Explained Why We Will Use The GROW Model Coaching Step 2: Reality Coaching Step 3: Options & Obstacles Coaching Step 4: Will & Action Planning How To Structure Your Coaching Sessions Client Coach Relationship Advanced Coaching Strategies PART 2: HOLISTIC HEALTH COACHING CERTIFICATION Diet & Nutrition Fundamentals Diet & Nutrition Coaching Exercise Coaching: Cardio Exercise Coaching: Resistance Training Hormone Health Explained Supplements Health & Fitness Motivation Health & Fitness FAQ Answered PART 3: WELLNESS COACHING CERTIFICATION Stress Management Sleep Emotional Self Care Course 01: Transformational Leadership: Ultimate Leadership Course Introduction Foundational Concepts For Leaders Powerfull Cutting- Edge Leadership Tips - Foundational Powerfull Cutting- Edge Leadership Tips - Intermediate Powerfull Cutting- Edge Leadership Tips - Advanced Final Thoughts For Wise Leaders Course 02: Developing Interpersonal Skills Course Module One: What Are Soft Skills? Module Two: Communication Module Three: Teamwork Module Four: Problem-Solving Module Five: Time Management Module Six: Attitude And Work Ethic Module Seven: Adaptability/Flexibility Module Eight: Self-Confidence (Owning It) Module Nine: Ability To Learn From Module Ten: Networking =========>>>>> And 8 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your QLS Endorsed Certificates and CPD Accredited Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*11 = £143) QLS Endorsed Hard Copy Certificate: Free (For The Title Course: Previously it was £139) CPD 285 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Aspiring Coaches Career Changers Helping Professionals Therapists HR Professionals Business Leaders Requirements You will not need any prior background or expertise to enrol in this bundle. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Life Coach Life Skills Coach Personal development trainer Counsellor education Motivational speaker MENTOR Young Entrepreneurs Life hacks trainer Certificates Advanced Diploma in Life Coaching and Counselling at QLS Level 7 Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee. CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. CPD Accredited Hard Copy Certificate Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee.

2 QLS Endorsed Course | CPD Certified | Free PDF + Hardcopy Certificates | 80 CPD Points | Lifetime Access

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.

Manager as Coach (On-Demand) This learning solution delivers a practical tool kit for developing coaching skills that you can leverage as a leader with your team. The objective of this course is to provide a platform for developing and growing key coaching skills so that you can help your team members become more self-sufficient and focused. This, in turn, helps you to become even more productive as your time is freed up, allowing you to focus on the strategic, big-picture direction. Learning will be supported through individual problem-solving exercises and conducted by a practicing, accredited professional coach/experienced workshop facilitator. What you will Learn You'll learn how to: Define what is coaching, what ifs not and what's in it for managers to coach Recognize difference between various developmental interactions like Coaching. Counselling and Mentoring Explain and interpret the different roles ofa manager and the process of coaching Practice skills of coaching as a manager Formulate an individual development plan for application at workplace Foundation Concepts What is coaching? Coaching in context The essence of coaching Core coaching skills Options for coaching Business case for coaching Qualities and Skills of a High-Performing Coach Core competencies of an effective coach Deep listening Exploring trust Emotional Intelligence in coaching Values at the heart of coaching relationship Core Skill: Asking Powerful Questions What is a powerful question? Becoming curious! Using powerful questions The Coaching Process Different styles of coaching Three coaching models - flow, practice and grow Spotlight on the grow model

Tired of browsing and searching for a Forensic Nursing course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this extensive bundle that has everything you need to succeed. After surveying thousands of learners just like you and considering their valuable feedback, this all-in-one Forensic Nursing bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Forensic Nursing course that will enhance your skills and prepare you for the competitive job market. Also, our experts are available for answering your queries on Forensic Nursing and help you along your learning journey. Advanced audio-visual learning modules of these Forensic Nursing courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once. Furthermore, to help you showcase your expertise in Forensic Nursing, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest. This Forensic Nursing Bundle Consists of the following Premium courses: Course 01: Online Training on Forensic Science Course 02: Forensic Anthropology: Skeletal Analysis Course 03: Verification of Death Training for Nurses Course 04: Accident Investigation Course 05: Domestic Violence and Abuse Awareness - Level 2 Course 06: Diploma in Substance Misuse Course 07: Criminal Intelligence and Crime Analysis Complete Diploma Course 08: Emotional Intelligence and Human Behaviour Course 09: Criminal Law Course 10: English Law and Legal System Level 3 Course 11: Human Rights Course 12: Medical Law Course 13:Decision Making and Critical Thinking Course 14: Personal Hygiene The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Forensic Nursingexpertise and essential knowledge, which will assist you in reaching your goal. Enrol now in Forensic Nursing to advance your career, and use the premium study materials from Apex Learning. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Forensic Nursing bundle. Please note: This course doesn't entitle you to practice as a professional in this specific field. Rather, this course will assist you in understanding the fundamentals so that you can improve your knowledge in the relevant field. Requirements Our Forensic Nursing is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. This Forensic Nursing course has been designed to be fully compatible with tablets and smartphones, so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this Forensic Nursing course; it can be studied in your own time at your own pace. Career path Having this Forensic Nursing expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included P.S. The delivery charge inside the UK is £3.99, and the international students have to pay £9.99.

Child Care & Parenting with Shark Music Embark on a transformative journey in Child Care with our unique course that includes understanding the concept of "Shark Music" in parenting. Enhance your Child Care skills with emotional intelligence and conflict resolution strategies tailored for children and parents alike. Learning Outcomes: Recognise "Shark Music" cues in parenting for proactive Child Care. Decode the language of behavior in children within Child Care practices. Cultivate emotional intelligence during childhood for better Child Care outcomes. Implement conflict resolution techniques in Child Care settings. Strengthen the parent-child relationship through informed Child Care strategies. Navigate parenting challenges with effective Child Care solutions. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Key Modules from Child Care & Parenting with Shark Music: Understanding "Shark Music" in Parenting: Comprehend the underlying anxieties in parenting that affect Child Care decisions. Language of Behaviour in Children: Decode behavioral cues in children to improve communication and Child Care practices. Emotional Intelligence in Childhood: Foster emotional intelligence in children as a fundamental aspect of their Child Care development. Conflict Resolution with Children: Utilise conflict resolution tactics to handle disputes effectively in Child Care scenarios. Nurturing Relationship: Enhance the bond between parent and child with strategies grounded in expert Child Care insights. Parenting Challenges: Identify common parenting challenges and address them with practical Child Care techniques.

24 Hour Flash Deal **25-in-1 Legal Assistant Diploma Mega Bundle** Legal Assistant Diploma Enrolment Gifts **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter ** Take the initial steps toward a successful long-term career by studying the Legal Assistant Diploma package online with Studyhub through our online learning platform. The Legal Assistant Diploma bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass. This Legal Assistant Diploma course provides complete 360-degree training on Legal Assistant Diploma. You'll get not one, not two, not three, but twenty-five Legal Assistant Diploma courses included in this course. Plus Studyhub's signature Forever Access is given as always, meaning these Legal Assistant Diploma courses are yours for as long as you want them once you enrol in this course This Legal Assistant Diploma Bundle consists the following career oriented courses: Course 01: Legal Secretary Skills Diploma Course 02: Business Law Course 03: English Law Basics: Understanding Legal Principles Course 04: Uk Commercial Law and Consumer Protection Training Course 05: Understanding UK Insurance (General, Commercial, Liability, Life) Course 06: Data Protection and Data Security (GDPR) Training Certification Course 07: Contract Law Certificate Course 08: Medical Law Course 09: Anti-Money Laundering (AML) Course 10: Cyber Security Law Course 11: Family Law Course 12: Workplace Violence, Harassment and Conflict Resolution Training Course 13: Tort Law Simplified: Understanding Legal Principles and Rights Course 14: Criminology: Criminal Law Course 15: Criminal Intelligence & Counterterrorism Analysis Course 16: International Law Certificate Course 17: GDPR Training Course 18: Workplace Confidentiality Course 19: Business Contract & Compliance Manager: Ensuring Legal Integrity Diploma Course 20: Corporate Social Responsibility Diploma Course 21: Emotional Intelligence and Social Management Diploma Course 22: Resilience Masterclass Course 23: Cross-Cultural Awareness Training Diploma Certificate Course 24: Office Skills (Administration, Communication and Management) Diploma Course 25: Time Management The Legal Assistant Diploma course has been prepared by focusing largely on Legal Assistant Diploma career readiness. It has been designed by our Legal Assistant Diploma specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided if it's required by any learners. The Legal Assistant Diploma Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Legal Assistant Diploma bundle course has been created with twenty-five premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Legal Assistant Diploma Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Legal Assistant Diploma Elementary modules, allowing our students to grasp each lesson quickly. The Legal Assistant Diploma course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc. In this exclusive Legal Assistant Diploma bundle, you really hit the jackpot. Here's what you get: Step by step Legal Assistant Diploma lessons One to one assistance from Legal Assistant Diplomaprofessionals if you need it Innovative exams to test your knowledge after the Legal Assistant Diplomacourse 24/7 customer support should you encounter any hiccups Top-class learning portal Unlimited lifetime access to all twenty-five Legal Assistant Diploma courses Digital Certificate, Transcript and student ID are all included in the price PDF certificate immediately after passing Original copies of your Legal Assistant Diploma certificate and transcript on the next working day Easily learn the Legal Assistant Diploma skills and knowledge you want from the comfort of your home CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Legal Assistant Diploma training is suitable for - Students Recent graduates Job Seekers Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Legal Assistant Diploma Requirements To participate in this Legal Assistant Diploma course, all you need is - A smart device A secure internet connection And a keen interest in Legal Assistant Diploma Career path You will be able to kickstart your Legal Assistant Diploma career because this course includes various courses as a bonus. This Legal Assistant Diploma is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Legal Assistant Diploma career opportunities. Certificates CPD Accredited Certificate Digital certificate - Included CPD Accredited e-Certificate - Free CPD Accredited Hardcopy Certificate - Free Enrolment Letter - Free Student ID Card - Free