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16179 Courses

Advanced REST APIs with Flask and Python

By Packt

Take your REST APIs to a whole new level with this advanced Flask and Python course!

Advanced REST APIs with Flask and Python
Delivered Online On Demand5 hours 58 minutes
£82.99

ILM Level 3 Certificate in Effective Coaching and Mentoring

By School of Business and Technology London

Getting Started The ILM Level 3 Certificate in Effective Coaching and Mentoring course is designed for individuals who are interested in acquiring comprehensive knowledge, developing a wide range of skills, and building confidence in order to effectively coach or mentor people in various professional and personal contexts. It is especially suitable for those who are looking to embark on a rewarding career in coaching or mentoring and wish to gain a strong foundation in this field. Key Benefits For Learners Know how to become an effective coach and mentor Be able to understand the role and responsibilities of effective coaches and mentors Learn how to manage coaching and mentoring processes using recognised models Put your new skills into practice by carrying out supervised coaching or mentoring sessions Analyse your coaching or mentoring performance in order to improve own ability For Organisations Implement effective coaching and mentoring to improve organisational performance Ensure the individuals developed as coaches and mentors are equipped with the skills, knowledge and understanding they require Enhancing the coaching and mentoring culture in your organisation by developing highly effective coaches or mentors Key Highlights This qualification is intended for learners who wish to start a career in coaching or mentoring in an organisational context. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximise 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 The ILM Level 3 Certificate in Effective Coaching and Mentoring course can open many career pathways including, but not limited to: Training and Development Manager, with an estimated average salary of £31,163 per annum Academic Coach or Mentor, with an estimated average salary of £34,156 per annum Business Coach or Mentor, with an estimated average salary of £38,216 per annum About Awarding Body Institute of Leadership & Management (ILM) is a professional body that helps people worldwide improve their leadership capabilities and advance their careers. All ILM qualifications are awarded by The City and Guilds of London Institute, founded in 1878 and incorporated into the Royal Charter. ILM qualifications are regulated and approved by Ofqual, the governing body for qualifications in the UK. What is included? Learn 100% online at your own pace Dedicated support from expert tutors Dedicated Support Desk Portal: You can raise queries, request tutor support and ask for a call back whenever you need guidance and assistance. Elevate Knowledge: Your tutors will provide formative assessment feedback for each module, helping you improve your achievements throughout the program Schedule online personal tutor meetings whenever you want, which will help you get the most out of your studies and provide guidance, support and encouragement 10 months support period 24-hour access to the online learning platform 'MyLearnDirect' Schedule live online classes for each module at your convenience. (Blended learning only) Quality learning resources and study guides developed by ILM-approved tutors. All assessment materials are conveniently accessible through the online learning platform 'MyLearnDirect' Induction: We offer online and flexible learning induction to help you settle in and prepare for your online studies ILM Membership - You will receive 12 months of the Institute of Leadership & Management membership, bringing access to a wealth of resources to support your leadership development. ILM Digital credentials - Validate your skills and share achievements anywhere, anytime using Digital Credentials 25% off membership with EMCC UK for all ILM learners studying for a coaching and mentoring qualification. Assessment For each module you study, you will complete a written assignment of 2000-2500 words and submit it online at your MyLearnDirect learning portal. The submitted assignments will be assessed by your ILM-approved tutor. Entry Requirements The ILM Level 3 Certificate in Effective Coaching and Mentoring course is designed for individuals who wish to commence a career in coaching or mentoring. To be eligible for this course, you must: Be 18 years of age and over Have some work experience as a coach, mentor or related role Possess the ability to complete the Level 3 course Our friendly admissions advisors will provide the best advice, considering your needs and goals.  Why gain a ILM Qualification? The ILM Level 3 Certificate in Effective Coaching and Mentoring course is designed for individuals who wish to commence a career in coaching or mentoring. The course is designed to provide in-depth knowledge and practical skills in the field of coaching and mentoring. The modules cover a wide range of topics including the good practice in coaching and mentoring, coaching skills and mentoring skills within the organisation, etc. By completing the course, you will gain a thorough understanding of coaching and mentoring and develop the necessary skills to become successful coaches and mentors. Successful completion of the course could lead you to progression to a range of qualifications including: ILM Level 3 Certificate or Diploma in Leadership and Management ILM Level 5 Certificate or Diploma in Leadership and Management ILM graduates achieve remarkable things: An impressive 70,000 people take ILM qualifications every year, with 93% of employers agreeing that their managers improved after completion. Through the collaboration with European Mentoring and Coaching Council UK (EMCC UK), both existing ILM coaching and mentoring learners and those newly qualified coaches/mentors will have access to the membership of the Council at a discounted price (25% off EMCC UK annual membership fee), plus up-to-date guidance, thought leading support via joint webinars and CPD events. An ILM level 3 learners would be an affiliate EMCC UK member. Whilst an ILM level 5 leaners would fall into the associate membership and ILM level 7 learners would either qualify for the associate or professional membership. ILM learners who successfully become an EMCC UK member will have access to their resources. ILM learners will also receive documents including competency frameworks as well as a range of free resources including access to the International Journal, free e-books, discounted publications and research papers. ILM Membership - All ILM learners receive a minimum of 12 months membership of the Institute of Leadership & Management, bringing access to a wealth of resources to support their leadership development ILM Digital credentials - Validate skills and share achievements anywhere, anytime using Digital Credentials 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- Reflecting on Mentoring Skills within an Organisational Context Reference No : 8587-305 Credit : 3 || TQT : 30 UNIT2- Understanding Good Practice in Coaching within an Organisational Context Reference No : 8587-300 Credit : 3 || TQT : 30 UNIT3- Understanding Good Practice in Mentoring within an Organisational Context Reference No : 8587-301 Credit : 3 || TQT : 30 UNIT4- Undertaking an Extended Period of Coaching within an Organisational Context Reference No : 8587-302 Credit : 7 || TQT : 70 UNIT5- Reflecting on Coaching Skills within an Organisational Context Reference No : 8587-303 Credit : 3 || TQT : 30 UNIT6- Undertaking an Extended Period of Mentoring within an Organisational Context Reference No : 8587-304 Credit : 7 || TQT : 70 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.

ILM Level 3 Certificate in Effective Coaching and Mentoring
Delivered Online On Demand11 months
£414.44

Streaming Big Data with Spark Streaming, Scala, and Spark 3!

By Packt

In this course, we will process massive streams of real-time data using Spark Streaming and create Spark applications using the Scala programming language (v2.12). We will also get our hands-on with some real live Twitter data, simulated streams of Apache access logs, and even data used to train machine learning models.

Streaming Big Data with Spark Streaming, Scala, and Spark 3!
Delivered Online On Demand6 hours 21 minutes
£74.99

Reformer II Intermediate Exercises • Prerequisites: Reformer I • Reformer II includes intermediate exercises and modifications designed for group and individual instruction.

Reformer L2
Delivered Online & In-PersonFlexible Dates
£498

Reformer 3 Advanced Exercises & Programming Prerequisite: Reformer 2 Reformer 3 is the pinnacle of the Reformer work and includes advanced and super advanced exercises to challenge clients to achieve their best.

Reformer L3
Delivered Online & In-PersonFlexible Dates
£498

Spark Programming in Python for Beginners with Apache Spark 3

By Packt

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

Spark Programming in Python for Beginners with Apache Spark 3
Delivered Online On Demand6 hours 35 minutes
£37.99

5 Shu Antique Points Yang Meridians

4.3(43)

By John Academy

[vc_row][vc_column][vc_column_text] Description: This 5 Shu Antique Points Yang Meridians course is designed to train you in acupressure for relaxation and pain relief. You will develop the knowledge and practical skills to be able to apply acupressure techniques in support of a treatment plan to restore or improve a person's health condition.  In this five shu points course, you will study head massage, Tuina, Chi Gung and Tai Chi. You will explore the 30 key acupuncture points grouped into six combinations of 5 points. You will also learn how to reduce symptoms in physical and mental conditions such as muscle pain and anxiety, through the application of acupressure. Throughout this course, you will learn how to apply acupressure to alleviate pain and re-balance conditions related to Yin channels and Yang Shu. Qi flows, Shu stream points, Yuan source points, Jing River points and other significant points will also be discussed in detail. Take steps to become a professional acupressure therapist and enrol in this specialist class today! Assessment and Certification: This course does not involve any assessment. Students can order their course completion Certificate at an additional cost of £39 for hard copy and in PDF format at £24. Who is this Course for? 5 Shu Antique Points Yang Meridians is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our 5 Shu Antique Points Yang Meridians is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.[/vc_column_text][/vc_column][/vc_row] Introduction Introduction 00:02:00 Requirements Before Receiving Your Qualification 00:01:00 What is Acupressure? What is Acupressure? 00:02:00 How to Apply Pressure to Acupressure Points 00:02:00 Self Acupressure 00:02:00 Key Points to Remember 00:01:00 What are Meridians? What are Meridians? 00:02:00 The Role of the Meridians 00:02:00 The Meridian Clock 00:01:00 Key Points to Remember 00:01:00 Essentials Before Getting Started 00:01:00 The 5 Shu Antique Points - Yang Meridians The 5 Shu Antique Points - Yang Meridians - Info 1 00:02:00 The 5 Shu Antique Points - Yang Meridians - Info 2 00:02:00 The 5 Shu Antique Points - Yang Meridians - Info 3 00:02:00 The 5 Shu Antique Points Diagram 00:01:00 The 5 Shu Antique Points - Yang Meridians Chart 00:02:00 Treatment Protocol - The 5 Shu Antique Points - Yang Meridians How to Begin and End an Acupressure Treatment 00:01:00 Large Intestine Meridian Point Combination 00:02:00 Triple Heater Meridian Point Combination 00:02:00 Small Intestine Meridian Point Combination 00:02:00 Stomach Meridian Point Combination 00:02:00 Gallbladder Meridian Point Combination 00:02:00 Bladder Meridian Point Combination 00:02:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

5 Shu Antique Points Yang Meridians
Delivered Online On Demand39 minutes
£25

Fatigue help bundle

By Pamela Rose - Fatigue Coach

A collection of my most popular courses and webinars to help you figure out how best to manage your fatigue challenge and move forwards towards a better level of wellness. Help for all stages of your journey - from the initial basics, to returning to work and figuring out when it's time to incorporate more movement and exercise. It also contains a webinar to share with your loved ones, so that they can better understand what you're going through. Contents £10 Communicating with others when you've got fatigue Course 4 Lessons Fatigue journeys vary from person to person - no two experiences are the same. But there's one challenging topic that seems to feature in most people's journeys at one time or another... communication! In this webinar recording I share tips and advice on how to tackle five of the most common conversation challenges when you're on a fatigue recovery journey. View product £75 Fatigue Reset: Crack pacing once and for all Course 32 Lessons View product £10 How to achieve a successful return to work Course 1 Lesson If you’ve had to take time off from your job for months or even years, contemplating a return to work can be difficult. How do you know if you’re ready? Are you well enough to return full-time or do you need to negotiate a phased approach? And what can you do to make sure the return itself goes as successfully as possible? This webinar starts to answer those questions - and many more! View product £10 How to cope better with fatigue Course 2 Lessons A recording of a live webinar held in November 2023. I share the most important areas that you should be focussing on, so that you minimise the time spent wondering what on earth you can do to improve your fatigue challenge and current situation - and get onto the right path to recovery. View product £10 How to start exercising when you have fatigue Course 3 Lessons We hear how helpful it is to exercise for health and wellbeing. But when you have fatigue it can be difficult to know if this is going to help or hinder. When *is* it the right time to start to feel confident about moving more and starting to exercise?In this webinar recording I share tips and advice on how to tackle five of the most common conversation challenges when you're on a fatigue recovery journey. View product £10 When a Loved One has fatigue...how to help them, and yourself. Course 5 Lessons A fatigue-related condition doesn’t only impact the life of the person who's ill, it often changes things for you, their loved ones. Adjusting to this can be tough for you, and it can be difficult to know how to best help them.This webinar will increase your understanding of what life feels like for your loved one, and help you know how to support them on their recovery journey, while looking after yourself too.View product

Fatigue help bundle
Delivered Online On Demand6 hours
£99

Personal Tax Return and Self Assessment training Course

By Osborne Training

Personal Tax Return and Self Assessment training Course Most self-employed people and directors of companies have to do submit a Tax Return every year. If you are a self-employed person you may learn how to do tax return yourself. As a result, you can save money by not having to pay an external agent. Don't forget You can also save more money as you will know more about how to apply for a tax rebate. According to statistics, more than 60% of taxpayers not sure how to do tax return correctly and lose money for not knowing how to apply for a tax rebate correctly. If you want to offer tax services to the general public, then skills in this sector can dramatically improve your job prospect or business prospect. How to do a tax return Firstly, you need to be registered with HMRC to process your tax return. You should get a UTR (Unique Tax Reference) no, which is your personal identification no for tax purpose. Once you have details for all incomes and expenditure, you can submit them electronically to HMRC. The deadline for submitting a personal tax return is 31 January for the previous tax year. Apply for a Tax Rebate It is possible that you could be eligible for a tax rebate. The most possible scenarios are When you pay more tax than required Submitting an incorrect tax return Claiming special Tax relief There could be many more reasons why should you get a tax refund. It is vital to know the scenarios under which you should apply for a tax rebate. Identify the type(s) of returns that may be completed Understand the duties and responsibilities of a bookkeeper / tax agent when completing self-assessment tax returns Calculating the taxes on profits for Self Employed & on income for Employed individuals Understanding differences between Drawings & Dividends Introduction to UTR and NI Classes Understanding Tax Return submission procedures to HMRC (using 2 individual Scenarios) Analysing Class 2 & Class 4 NIC Analysing Personal Allowance Analysing Income from Self Employments Employment benefits Analysis Analysis of Car & Fuel benefits Analysis on savings and investment income and tax implications on them. Introduction to Capital Gains Tax analysis Introduction to Inheritance Tax Analysis Understanding the procedure for payment and administration of both tax and National Insurance Contributions

Personal Tax Return and Self Assessment training Course
Delivered in London or OnlineFlexible Dates
Price on Enquiry

QUALIFI Level 3 Diploma in Data Science

By School of Business and Technology London

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.

QUALIFI Level 3 Diploma in Data Science
Delivered Online On Demand11 months
£780.35