11254 Courses delivered Online

Course Overview The Financial Engineering Courses – 8 Courses Bundle is a comprehensive training package designed to equip learners with a robust understanding of the mathematical, statistical, and analytical foundations of modern finance. This bundle merges core financial theories with quantitative models to support strategic financial decision-making. Learners will explore concepts ranging from derivatives pricing and risk modelling to portfolio optimisation and stochastic processes, gaining a solid foundation in the methodologies used in financial institutions and investment firms. By the end of the course, participants will be able to interpret financial models, assess risk frameworks, and contribute effectively to quantitative analysis roles. This course is particularly valuable for those aiming to strengthen their understanding of finance through an analytical lens, aligning with roles in investment banking, financial consultancy, or quantitative research. Course Description This course bundle offers eight interconnected modules covering a wide array of financial engineering topics. Learners will be introduced to financial mathematics, stochastic calculus, fixed income securities, options pricing, quantitative risk management, and algorithmic trading strategies. The programme provides an in-depth look into the mechanics of financial markets and the computational tools that underpin asset valuation and portfolio structuring. Through clear instruction and structured content, learners will build confidence in applying quantitative techniques and economic theory to real-world financial challenges. Emphasis is placed on theoretical rigour, analytical accuracy, and strategic application. Ideal for learners with a background or interest in finance, mathematics, or economics, this course supports a deeper understanding of financial markets and prepares participants for roles that require data-driven financial modelling and risk assessment skills. Course Modules Module 01: Introduction to Financial Engineering Module 02: Financial Mathematics and Modelling Techniques Module 03: Fixed Income Securities and Yield Curves Module 04: Derivatives and Options Pricing Theory Module 05: Quantitative Risk Management Fundamentals Module 06: Stochastic Processes in Finance Module 07: Portfolio Theory and Investment Analysis Module 08: Algorithmic and Computational Finance (See full curriculum) Bundle Instructions Access all eight courses through a single enrolment. Courses are self-paced and available online 24/7. Learners receive a certificate for each completed module. Support is available throughout the learning journey. Who is this course for? Individuals seeking to build a strong foundation in quantitative finance. Professionals aiming to advance their knowledge in financial modelling and analysis. Beginners with an interest in finance, mathematics, or data-driven investment theory. Graduates or career changers targeting roles in banking, analytics, or asset management. Career Path Quantitative Analyst Financial Risk Manager Investment Banking Analyst Asset or Portfolio Manager Financial Modelling Consultant Data Analyst in Financial Services Derivatives Pricing Specialist Economic Research Associate

Course Overview The Sports Medicine Fundamentals course offers a comprehensive introduction to the key principles, practices, and applications of sports medicine. This engaging programme covers essential areas such as common sports injuries, athlete nutrition, performance enhancement, and the future of sports science. Designed for individuals looking to deepen their understanding of athlete care and physical performance, the course provides valuable insights that can support professional growth or personal interest. Learners will explore the medical challenges faced by athletes, understand imaging techniques used in diagnostics, and examine the role of exercise and nutrition in injury prevention and recovery. By the end of this course, learners will be equipped with a strong foundational knowledge of sports medicine, ready to pursue further study or career opportunities in related fields. The content is suitable for both beginners and those looking to enhance their expertise within the world of sports and health sciences. Course Description This course delves into the core concepts of sports medicine, offering an in-depth understanding of injury management, prevention strategies, and athlete wellbeing. Topics include the study of the most common sports injuries, the use of medicines in treatment plans, and the impact of nutrition and weight management on athletic performance. Learners will explore medical conditions unique to athletes, advancements in imaging technologies, and the science behind performance enhancement techniques. Additionally, the course highlights potential career paths within the sports medicine sector, providing guidance for those considering entering the field. With a carefully structured curriculum, learners will gain theoretical knowledge and critical thinking skills that will prepare them for roles in sports healthcare, rehabilitation, and exercise science. Presented in an accessible format, the course supports diverse learning needs and fosters a solid understanding of the evolving landscape of sports medicine. Course Modules Module 01: Sports Medicine Module 02: Careers in Sports Medicine Module 03: Top Ten Common Sports Injuries Module 04: Common Sports Medicines Module 05: Nutrition and Weight Management Module 06: Medical Problems Faced by Athletes Module 07: Sports and Exercise Module 08: Imaging in Sports Medicine Module 09: Performance Enhancement Module 10: The Future of Sports Science (See full curriculum) Who is this course for? Individuals seeking to understand the fundamentals of sports medicine and athlete care. Professionals aiming to broaden their knowledge of sports healthcare and rehabilitation. Beginners with an interest in sports science, athletic performance, or health studies. Fitness coaches, physical education teachers, or anyone considering a career in sports health. Career Path Sports Medicine Assistant Athletic Trainer Rehabilitation Support Staff Fitness and Wellness Advisor Exercise Scientist Sports Performance Analyst Health and Wellness Coordinator Youth Sports Programme Coordinator

Course Overview This advanced-level Project Management Level 7 course offers comprehensive training designed to develop strategic thinking, leadership acumen, and organisational proficiency. Covering the essential principles of professional project delivery, the course aligns with international frameworks such as PMBOK and PMI standards, giving learners a solid foundation in high-level project management methodologies. From global project execution to risk and quality management, participants will gain the skills to oversee complex initiatives, manage cross-functional teams, and navigate dynamic business environments. Emphasis is placed on critical areas such as change management, performance evaluation, and crisis response. By the end of the course, learners will be prepared to assume leadership roles in project-driven environments across diverse industries, demonstrating competency in managing time, resources, stakeholders, and strategic outcomes with confidence and clarity. Course Description This Level 7 course delves into advanced project management theories and practices, equipping learners with essential knowledge across the entire project lifecycle. Starting with foundational concepts and extending to global project frameworks, the curriculum includes modules on time, resource, and quality management, along with strategic planning, communication, and procurement. Learners will explore techniques for managing stress, conflict, and team performance, while also developing crisis response strategies and resilience planning. A strong focus is placed on leadership and stakeholder engagement, enabling participants to drive results through effective coordination and planning. Each module is structured to build critical thinking and decision-making capabilities suited for high-level responsibilities. By engaging with industry-relevant case studies and strategic planning exercises, learners will graduate with the insight required to lead organisational change, oversee multifaceted projects, and ensure long-term success within both public and private sectors. Course Modules: Module 01: Introduction to Project Management Module 02: PMBOK and PMI Module 03: Global Project Management Module 04: Project Life Cycle Module 05: Time Management Module 06: Quality Management Module 07: Effective Planning & Scheduling Module 08: Human Resource Management Module 09: Performance Management Module 10: Talent Management Module 11: Organising Meeting and Conferences Module 12: Managing Resources Module 13: Change Management Module 14: Business Resilience and Crisis Management Module 15: Conflict Management Module 16: Stress Management Module 17: Communication Skills Module 18: Procurement & Purchasing Management Module 19: Risk Management (See full curriculum) Who is this course for? Individuals seeking to progress into senior-level project roles. Professionals aiming to formalise their project management expertise. Beginners with an interest in leadership and organisational management. Team leaders or coordinators aspiring to manage large-scale projects. Career Path Project Manager Programme Director Business Change Manager Risk and Compliance Officer Operations Manager Strategic Planning Consultant Procurement and Contracts Manager Portfolio Manager Crisis and Resilience Coordinator

Course Overview The Foot Health Practitioner course is designed to equip learners with an in-depth understanding of foot anatomy, common disorders, clinical management, and therapeutic techniques. It provides a comprehensive exploration of the essential knowledge and skills needed to assist individuals in maintaining optimal foot health. Through a professionally structured curriculum, learners will develop the ability to identify, assess, and support a wide range of foot-related conditions, enabling them to make a positive difference in people's health and wellbeing. Whether you are seeking to enhance your current expertise or embark on a new professional journey, this course offers valuable insights that align with the highest standards of care. Upon completion, learners will be well-prepared to support foot health practices in various healthcare or wellness settings, backed by a robust understanding of clinical procedures, foot care strategies, and patient-centred approaches. Course Description This Foot Health Practitioner course delves into the key areas necessary for a thorough grounding in foot health care. Topics covered include the anatomy and physiology of the foot, dermatology, the management of foot disorders, and the identification and treatment of nail diseases. Learners will explore diagnostic techniques, clinical assessments, the use of podiatry equipment, and specialised care for high-risk and diabetic patients. Additional modules focus on cosmetic and therapeutic practices such as pedicure and reflexology, offering a broader perspective on foot health services. The course content is designed to build theoretical expertise, develop critical analysis, and foster a deeper understanding of foot health management within a professional setting. By the end of the programme, learners will possess the knowledge to confidently contribute to the maintenance and enhancement of foot health, supporting individuals across a range of demographics and care requirements. Course Modules Module 01: A Comprehensive Introduction to FHP Module 02: Anatomy and Physiology of Foot Module 03: Systems in the Foot Module 04: Foot Dermatology Module 05: Examination and Diagnosis in Clinical Management Module 06: Podiatry Equipment and Instrument Module 07: Foot Disorders Module 08: Treating Foot Disorders Module 09: Diseases of the Nail and Their Treatment Module 10: Management of High-Risk Patients Module 11: Diabetic Foot Module 12: Pedicure Module 13: Reflexology (See full curriculum) Who is this course for? Individuals seeking to build a professional foundation in foot health care. Professionals aiming to enhance their understanding of clinical foot management. Beginners with an interest in foot health, wellness, or complementary therapies. Those exploring opportunities within the healthcare and wellbeing industries. Career Path Foot Health Practitioner Podiatry Assistant Health and Wellness Consultant Reflexology Practitioner Nail Care Specialist (Medical Focus) Healthcare Support Worker Community Health Advisor

Course Overview The Trainee Train Driver Course offers a comprehensive and engaging journey into the world of train operations, ideal for individuals aspiring to build a career in the railway industry. Covering essential aspects such as licensing, required skills, application success strategies, psychometric preparation, and medical assessments, this course is designed to equip learners with the knowledge and confidence needed to pursue trainee train driver opportunities. Throughout the course, learners will gain a thorough understanding of the recruitment process, assessment methods, and professional expectations associated with this respected role. By the end, participants will be well-prepared to approach train driver applications, interviews, and training stages with a competitive edge. The course’s structured approach ensures learners develop key theoretical insights and align with industry standards, helping them to take their first significant steps towards a rewarding future in rail transport. Course Description The Trainee Train Driver Course delves into each crucial phase of becoming a qualified train driver, from understanding the basic responsibilities to mastering the complex selection processes. Learners will explore topics such as licensing requirements, application writing techniques, psychometric testing frameworks, and preparation for the rigorous interview stages. Detailed guidance on medical assessments, reference checks, and formal training procedures is also provided. The course maintains a professional focus, offering a clear roadmap for candidates aiming to meet the high standards expected within the railway sector. Participants will develop a strong foundation in the attitudes, behaviours, and knowledge required for success. With expertly crafted modules and a learner-centred approach, the course provides invaluable support for those committed to starting their journey towards a stable and respected career in train driving, ensuring they are fully aware of what the profession entails and how best to achieve their goals. Course Modules Module 01: Introduction to Trainee Train Driving Module 02: Train Driver Licences and Certificates: Key Facts Module 03: Train Driver Required Skills and Attitudes Module 04: Train Driver Application Form Success Module 05: Train Driver Psychometric Test Module 06: Find Success in the Train Driver Interview Module 07: References, Medical Assessment and Training (See full curriculum) Who is this course for? Individuals seeking to start a career as a trainee train driver. Professionals aiming to transition into the railway industry. Beginners with an interest in transport and rail operations. Anyone preparing for a train driver application or assessment process. Career Path Trainee Train Driver Passenger Train Driver Freight Train Driver Rail Operations Officer Train Driver Assessor Railway Safety Inspector Rail Traffic Controller

Course Overview The Child Psychology and Child Care Diploma offers a comprehensive exploration of child development and professional childcare practices. Learners will gain valuable insights into emotional, cognitive, and social growth from infancy to adolescence, enhancing their understanding of children's behaviour and needs. This course blends foundational theories with current research to prepare learners for diverse roles supporting children's wellbeing and development. Through this programme, participants will build knowledge that can be applied in educational settings, childcare centres, or within family support services. By the end of the course, learners will be equipped with the confidence and competence to work in child-centred environments, foster positive child development, and apply psychological principles effectively. Whether aspiring to a childcare career or aiming to support children's growth in various contexts, this diploma provides the essential knowledge and credentials to succeed. Course Description The Child Psychology and Child Care Diploma delves deeper into key areas of child psychology, early childhood development, behavioural theories, attachment styles, and childcare techniques. The course covers a broad spectrum of topics, including cognitive development stages, emotional regulation, safeguarding responsibilities, and strategies for promoting healthy learning environments. Delivered through engaging study materials and clear explanations, learners will explore case studies and theoretical frameworks that underpin effective childcare practices. Throughout the course, participants will develop a solid understanding of how biological, emotional, and environmental factors shape children's growth. Skills gained will include recognising developmental milestones, supporting children's individual needs, and fostering positive behavioural outcomes. Suitable for both newcomers and those seeking career enhancement, this diploma empowers learners to make meaningful contributions to children's lives across educational, residential, and community settings. Course Modules Module 01: Introduction to Child Psychology Module 02: Stages of Child Development Module 03: Emotional and Social Development in Children Module 04: Cognitive and Language Development Module 05: Behavioural Theories and Child Behaviour Management Module 06: Attachment and Relationships Module 07: Child Care Fundamentals Module 08: Safeguarding and Child Protection Module 09: Special Educational Needs and Disabilities (SEND) Module 10: Promoting Healthy Learning Environments (See full curriculum) Who is this course for? Individuals seeking to build knowledge in child psychology and childcare. Professionals aiming to enhance their qualifications in childcare and educational settings. Beginners with an interest in child development and care practices. Parents, caregivers, and volunteers wishing to support children more effectively. Teaching assistants or nursery staff aspiring to specialise in child development. Career Path Childcare Worker Early Years Educator Teaching Assistant Child and Youth Support Worker Family Support Worker Special Educational Needs (SEN) Assistant Nursery Manager Child Welfare Officer Community Outreach Worker

Customers are astute and well-practised in researching and seeking information, solutions and added value in the minimum number of clicks online. There's only so much time they're willing to spend carrying on clicking. This mentality isn't just restricted to the world of B2C. In our increasingly hectic world, where information is expected to be available instantly, it applies just as much to B2B. In this workshop, we look at how putting yourself in the shoes of your customer and mapping their decision-making and buying journey is critical to ensuring that you provide what they perceive as fast solutions and added value. You will learn all about the three pillars for creating competitive brand experiences: Customer engagement planning puts you firmly in the shoes of your customer, helping you to build meaningful marketing communications delivered through the right resources at the right time to inspire your customers to engage with you. This programme will help participants to: Understand the evolution of the customer buying journey Map a customer buying journey for your brand or solutions Understand the customer micro-moments and signals indicating interest and buying intent, both online and offline Apply the psychology of branding to build marketing communications with impact Develop sales and marketing content that differentiates your brand(s) from the competition by demonstrating unique value and how you can meet your customer's needs 1 The evolution of the customer journey Understand how the use of mobile has had an impact on the customer buying journey where today's customers can research and compare products and solutions whenever and wherever they like, making the purchase journey even less linear Explore how marketers are adapting to this new customer behaviour and drawing upon various strategies to win the hearts and minds of their audiences 2 The See-Think-Do-Care framework Explore the many different frameworks used to track the customer journey Understand and apply the modern marketing model, where the internet has enabled the customer to hop between multiple touchpoints before making a purchase decision 3 Customer micro-moments and signals in their buying journey Understand the online and offline moments when customers seek information to research and make buying decisions Apply this understanding to build a marketing communication plan to reach customers at all stages of their buying journey 4 The role of branding in the customer journey Explore the psychology of branding Learn how to ensure your branding is relevant to your target customer needs Bring together your brand value and story to achieve brand loyalty 5 The Why-How-What framework Apply a systematic approach to build a successful and compelling brand Understand how starting with 'why' will help build your brand purpose Apply the content marketing matrix to communicate your brand's value Apply the hero-help-hub model to build engaging content marketing Actionable outcomes We will use your brand examples to provide opportunities for practice: You will learn and reflect on best practice examples of customer engagement You will discover your brand value, purpose and the 'sweet spot' to drive engagement with your customers You will create a customer engagement plan that can be implemented immediately within your business You will receive immediate feedback on your customer engagement plan You will have the opportunity to share common issues and solutions with your colleagues in the group

In an increasingly digital age, protecting oneself and others online is more than just a good idea—it’s essential. The Online Safety and Harms Protection Course guides you through the risks, threats, and behaviours that shape today’s internet landscape. From harmful content and misinformation to cyberbullying and online exploitation, this course offers a strong awareness-focused foundation to help navigate online spaces more securely and responsibly. Designed to suit learners from all backgrounds, the course uses clear explanations and structured insights to address the growing concerns surrounding online activity. You’ll explore strategies for recognising risk, supporting vulnerable individuals, and promoting positive online engagement. Whether you're a parent, educator, or simply curious about digital safety, this course helps you stay one step ahead in an ever-evolving digital environment—without the jargon or the fluff. Course Curriculum Module 1 The Growth Of The Internet Module 2 Introduction To Online Safety Module 3 Conceptualising Online Risk Module 4 Online Risks And Harms Contact, Conduct, And Commerce Module 5 Your Responsibilities Module 6 Teaching Online Safety And Harms Module 7 Cyberbullying Module 8 Hackers, Crackers, Criminals And Cons Module 9 Addiction And Other Health Risk Module 10 Laws And Regulations Module 11 Staying Safe On The Internet Module 12 Posting Photos And Videos Safely Module 13 Sharing Information With Others Module 14 Protecting Children Upon successful completion, you will qualify for the UK and internationally-recognised CPD accredited certification. You can choose to make your achievement formal by obtaining your PDF Certificate at the cost of £9 and Hard Copy Certificate for £15. CPD 10 CPD hours / points Accredited by CPD Quality Standards

Delve into the world of data analysis with 'R Programming for Data Science,' a course designed to guide learners through the intricacies of R, a premier programming language in the data science domain. The course opens with a broad perspective on data science, illuminating the pivotal role of R in this field. Learners are then introduced to R and RStudio, equipping them with the foundational tools and interfaces essential for R programming. The curriculum progresses with an introduction to the basics of R, ensuring learners grasp the core principles that underpin more complex operations. A highlight of this course is its in-depth exploration of R's versatile data structures, including vectors, matrices, factors, and data frames. Each unit is crafted to provide learners with a comprehensive understanding of these structures, pivotal for effective data handling and manipulation. The course also emphasizes the importance of relational and logical operators in R, key elements for executing data operations. As the course advances, learners will engage with the nuances of conditional statements and loops, essential for writing efficient and dynamic R scripts. Moving into more advanced territories, the course delves into the creation and usage of functions, an integral part of R programming, and the exploration of various R packages that extend the language's capabilities. Learners will also gain expertise in the 'apply' family of functions, crucial for streamlined data processing. Further units cover regular expressions and effective strategies for managing dates and times in data sets. The course concludes with practical applications in data acquisition, cleaning, visualization, and manipulation, ensuring learners are well-prepared to tackle real-world data science challenges using R. Learning Outcomes Develop a foundational understanding of R's role in data science and proficiency in RStudio. Gain fluency in R programming basics, enabling the handling of complex data tasks. Acquire skills in managing various R data structures for efficient data analysis. Master relational and logical operations for advanced data manipulation in R. Learn to create functions and utilize R packages for expanded analytical capabilities. Why choose this R Programming for Data Science course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this R Programming for Data Science course for? Beginners in data science eager to learn R programming. Data analysts and scientists looking to enhance their skills in R. Researchers in various fields requiring advanced data analysis tools. Statisticians seeking to adopt R for more sophisticated data manipulations. Professionals in finance, healthcare, and other sectors needing data-driven insights. Career path Data Scientist (R Expertise): £30,000 - £70,000 Data Analyst (R Programming Skills): £27,000 - £55,000 Bioinformatics Scientist (R Proficiency): £35,000 - £60,000 Quantitative Analyst (R Knowledge): £40,000 - £80,000 Research Analyst (R Usage): £25,000 - £50,000 Business Intelligence Developer (R Familiarity): £32,000 - £65,000 Prerequisites This R Programming for Data Science does not require you to have any prior qualifications or experience. You can just enrol and start learning.This R Programming for Data Science was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Unit 01: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's next? 00:02:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00 Assignment Assignment - R Programming for Data Science 00:00:00

This Assistant Store Keeper Course offers a detailed insight into the essential duties and responsibilities involved in managing retail inventory and supporting store operations. Designed for individuals eager to develop a strong foundation in store management, this course covers key areas such as retail management principles, consumer behaviour, and effective supplier relationships. Participants will gain a clear understanding of how to maintain stock accuracy, contribute to visual merchandising, and navigate the legal framework relevant to retail settings. The curriculum also explores customer interaction strategies and store psychology, ensuring learners appreciate the dynamics that influence shopping behaviour and store performance. Whether you are aiming to enter the retail sector or enhance your existing knowledge, this course provides the knowledge necessary to support store operations efficiently. Delivered entirely online, it suits those looking for flexible study without the need for physical attendance. Key Benefits Accredited by CPD Instant e-certificate Fully online, interactive course Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Curriculum Module 01: Introduction to Store Assistant Module 02: Roles and Responsibilities of a Store Assistant Module 03: Introduction to Retail Management Module 04: Managing a Retail Store Module 05: Visual Merchandising Module 06: Consumer Behaviour Module 07: Dealing with Customers Module 08: Dealing with Suppliers Module 09: Store Psychology Module 10: Legislations Related to Retail Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. Certificate Once you've successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we do recommend that you renew them every 12 months. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Assistant Store keeper training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Assistant Store keeper training. Certificates Certificate of completion Digital certificate - Included