15731 Courses

In an era where financial crime is increasingly sophisticated, the role of a Fraud Analyst Officer has never been more crucial. This course provides a focused introduction to the key aspects of money laundering and financial crime prevention, equipping learners with the essential knowledge to understand relevant laws and regulations. From the foundations laid out in the Proceeds of Crime Act 2002 to the evolving frameworks governing anti-money laundering efforts, the curriculum offers a clear pathway through the critical areas every fraud analyst must grasp. Designed with precision, the course explores responsibilities such as the role of the Money Laundering Reporting Officer, the importance of customer due diligence, and the application of a risk-based approach to financial transactions. Participants will also gain insight into identifying suspicious activity and maintaining accurate record-keeping, supported by ongoing awareness and training modules. This structure ensures that learners develop a solid grasp of the principles that underpin effective fraud detection and prevention in today’s financial landscape. 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 Money Laundering Module 02: Proceeds of Crime Act 2002 Module 03: Development of Anti-Money Laundering Regulation Module 04: Responsibility of the Money Laundering Reporting Officer Module 05: Risk-based Approach Module 06: Customer Due Diligence Module 07: Record Keeping Module 08: Suspicious Conduct and Transactions Module 09: Awareness and Training 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 Fraud Analyst Officer 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 Fraud Analyst Officer training. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included

Unlock the secrets to nurturing young minds with our comprehensive and dynamic course tailored for aspiring preschool educators. Dive deep into the world of early childhood, exploring the wonders of preschool education and understanding the unique needs of young children. Our curriculum empowers you with the essential knowledge to shape the formative years of the next generation. Learn the pivotal role a dedicated educator plays, and discover why fostering a love for learning from an early age is crucial. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access Our expertly crafted modules highlight the profound impact of education on early development, the importance of parental involvement, and the myriad benefits of early childhood education. Delve into designing effective curriculums, instilling life skills, and teaching essential concepts like counting and time management. With engaging techniques such as acting out scenes and setting up reward systems, you'll be equipped to teach new skills and help children understand their feelings. Take on this journey and become an inspiring guide in a child's early educational adventure, creating a foundation for lifelong success. Course Curriculum Module 01: Preschool Education Module 02: The Pre-School Child Module 03: Characteristics And Role Of A Preschool Teacher Module 04: Why Is Education Important? Module 05: Key Benefits of Early Childhood Education Module 06: The Importance of Parent Involvement Module 07: How Education Affects Early Childhood Development Module 08: The Curriculum Part - 01 Module 09: The Curriculum Part - 02 Module 10: Teaching Kids Life Skills Module 11: Teach Preschool Kids To Count Module 12: Set Up A Reward System For Children Module 13: Teach New Skills By Acting Out Scenes Module 14: Teach Kids About Their Feelings Module 15: Teach Kids about Time Management Skills Learning Outcomes: Understand principles of preschool education and child development. Recognise characteristics and roles of effective preschool teachers. Appreciate the importance of early childhood education and its benefits. Learn strategies for parent involvement in preschool education. Develop curriculum plans for preschool children. Teach essential life skills and emotional awareness to young children. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring preschool teachers. Parents wanting to educate their children. Childcare professionals seeking further knowledge. Early childhood education enthusiasts. Educators looking to specialise in preschool. Career path Preschool Teacher Early Childhood Educator Nursery School Teacher Childcare Centre Worker Early Years Foundation Stage (EYFS) Coordinator Educational Consultant for Early Childhood Development Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

The Sports Supervision Strategies Course offers a thorough exploration of the essential principles behind effective sports coaching and management. Designed for those keen to deepen their understanding of coaching theory and athlete support, this course covers key areas such as psychological motivation, behavioural techniques, and physical fitness planning. It also addresses important topics like nutrition, injury prevention, and the unique dynamics involved in coaching children and women. Whether you aim to refine your approach to popular sports or develop strong management skills, this course provides a well-rounded foundation for supervising sporting activities successfully. Throughout the course, you'll gain insight into ethical coaching practices and the critical relationship between athletes, parents, and coaches. Emphasis is placed on fostering positive motivation and behavioural development to help athletes reach their potential in a respectful and safe environment. By blending theoretical knowledge with practical coaching strategies, this course supports anyone interested in sports supervision without the need for physical attendance, making it accessible and flexible for busy schedules. Perfect for aspiring coaches, sports coordinators, or anyone involved in athletic development, this course is an excellent resource for advancing your coaching capabilities with confidence and clarity. 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 1. Introduction to Sports Coaching Module 2. Psychological, Motivational, and Behavioural Training for Sports Module 3. Techniques for Sports Coaching Module 4. Physical Fitness and Training Module 5. Management Skills for a Sports Coach Module 6. Coaching for Popular Sports Module 7. Nutrition Concerns for Athletes Module 8. Sports Injury Prevention and Rehabilitation Module 9. Children and Parent in Sports Module 10. Women Coaches Module 11. Coaching and Ethical Practice 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 Sports Supervision Strategies 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 Sports Supervision Strategies training. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included

Kickstart a successful career in marketing and advertising with this complete training package for small business owners and aspiring professionals! The Digital Marketing, SEO and Virtual Advertising Diploma course will teach you effective techniques, best practices and strategies for advertising your product or service online, equipping you with the skills to fast track your career and expand your brand in no time. Get started in setting up your website and discover ways to grow your target market, with tips and guidance for creating the perfect marketing strategy. This course is ideal for small business owners and anyone looking to establish a career in digital marketing and advertising.  Why buy this Digital Marketing, SEO and Virtual Advertising Diploma? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Digital Marketing, SEO and Virtual Advertising Diploma you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Digital Marketing, SEO and Virtual Advertising Diploma does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Prerequisites This Digital Marketing, SEO and Virtual Advertising Diploma 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. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Digital Marketing, SEO and Virtual Advertising Diploma is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Module 01: Introduction Welcome 00:01:00 Module 02: General Tips & Tricks Series How to register your company 00:04:00 How to see Email Sender's Company and Logo in Your Gmail 00:02:00 How to Generate sitemap of a website 00:03:00 How to protect a website from Spam on WordPress 00:02:00 Quick way to identify whether the website is Mobile optimized 00:03:00 How to identify registration data of website 00:01:00 How to identify duplicate content from the web 00:03:00 How to create google alerts 00:03:00 How to find the age of the domin 00:02:00 How to check if the website server is down 00:01:00 How to create text notes thatwill self destruct after being read 00:02:00 How to send google search information to your friends 00:03:00 How to find webhost of any website 00:02:00 Discover new sites that are similar to what you like alredy 00:03:00 How to easily highlight the important parts of a web page 00:01:00 How to share you email online without worrying about spam 00:02:00 How to get compute level answers without searching 00:03:00 The easiest way to setup email reminders 00:03:00 How to find the original URL tht's hiding behind a short URL 00:02:00 How to corrupt a file you shared online 00:01:00 How to create a throwaway email 00:02:00 How to check if your email account has been compromised 00:01:00 Module 03: SEO (Search Engine Optimisation) How to register website on Google search console 00:06:00 How to Optimize your website homepage 00:06:00 How to add a sitemap on google search 00:07:00 How to shortlist targeted keyword list in google keyword planner 00:08:00 How to set international targeting on google search 00:02:00 How to remove a URL from google search engine 00:03:00 How to identify competitors keyword 00:08:00 How to leverage top sites to get on google search results 00:04:00 Discover powerful data analytics to mesure SEO performance 00:06:00 How to do keyword research 00:11:00 How to write perfect title tags for search engines 00:05:00 How to optimise heading tags, external and internal links 00:08:00 What are backlinks & how to get them 00:06:00 How to write a perfect Meta description 00:06:00 How to enhance speed & performance of your website 00:04:00 Module 04: YouTube Youtube account setup 00:04:00 Account optimization 00:09:00 How to create & setup Youtube channel banner 00:05:00 Youtube channel tags, thumbnails & custom thumbnails 00:08:00 Analyse Youtube keyword research 00:05:00 Youtube SEO techniques 00:07:00 What are Youtube cards & how does it work 00:06:00 How to optimise comments & reply them in bulk 00:03:00 How to grow your channel with competitor Analysis 00:07:00 How to manage multiple YouTube accounts 00:02:00 A simple yet powerful trick to increase your subscribers list 00:03:00 Youtube Paid Advertising 00:13:00 How to monetise your YouTube channel 00:02:00 Module 05: Google Adwords What are Google Ads & how does it work 00:16:00 Account setup 00:04:00 Competitors analysis 00:08:00 Campaign types & how to select the right campaign 00:07:00 Bids & Budgets 00:08:00 How to target the right audience 00:07:00 Google Ads advance campaign settings 00:07:00 Choosing the right keywords 00:05:00 How to write ads that gets more clicks 00:06:00 Module 06: Google Analytics How to install tracking code on your website 00:04:00 How to add filters & remove internal traffic 00:04:00 How to track paid campaigns 00:04:00 How to look and analyse different segment data 00:06:00 How to configure goals in google analysics 00:05:00 How to link google Adwords account 00:03:00 How to manage multiple analytics accounts 00:02:00 How to remove spam traffic 00:04:00 Module 07: Email Marketing Email marketing tools set up ( Mailchimp and Gestresponse) 00:10:00 How to install signup or popup forms on the website 00:17:00 How to collect email address without a wbsite 00:05:00 How to create a 'Hook' to your signup forms 00:08:00 Discover the psychology behind acquiring more leads 00:09:00 Email marketing automation process 00:08:00 Email analytics 00:07:00 Module 08: Linkedln How to increase your connections in no time 00:08:00 Secret of LinkedIn InMails 00:05:00 Discover the best ways to use Linkedin Groups 00:09:00 How to setup a company page on Linkedin 00:04:00 How to increase traffic to your website using Linkedin blog 00:07:00 Module 09: Twitter Twitter Account setup 00:03:00 Knowing Twitter features 00:06:00 Following twitter accounts 00:03:00 Twitter profile optimisation 00:06:00 How to get Twitter followers 00:10:00 Posting first 5 tweets for engagement 00:05:00 Leveraging Hashtags to increase your tweets visibility 00:04:00 What are twitter polls & how do you use them 00:05:00 A powerful trick to acquire customers on twitter 00:03:00 How to get followers retweet your post 00:03:00 How to embed a twitter button to your website or post 00:02:00 Twitter analytics 00:04:00 Module 10: Facebook Set your Facebook page 00:05:00 Facebook Icon, cover image & description 00:06:00 How to get your first page likes 00:08:00 Discover how to increase your page likes 00:02:00 How to manage multiple Facebook page 00:03:00 Facebook comments 00:05:00 Leveraging Facebook groups 00:05:00 Facebook Autoposting 00:04:00 Run a competition 00:06:00 Facebook Ads 00:04:00 How to get best out of Facebook 00:15:00 Facebook pixel & Re-marketing 00:04:00 Module 11: Instagram How to setup a Instagram business profile 00:07:00 Set up Instagram bio & profile image 00:03:00 Leveraging Instagram accounts 00:06:00 A simple way to create free content on Instagram 00:05:00 Secret of hashtags on Instagram 00:04:00 Reposting Instagram App 00:04:00 How to get genuine Instagram followers 00:05:00 Discover how to grow your business through Instagram stories 00:05:00 How to get your posts reposted on Instgram by influncers 00:05:00 Module 12: Mobile App A quick way to do App store marketing research 00:16:00 How to discover the estimate size of your market 00:08:00 Discover the best ways to promote your app 00:15:00 App installs via Facebook Ads 00:16:00 App installs via Google Ads 00:14:00 How to make money from your app 00:08:00 How to optimise your App store listing ? 00:14:00 Discover growth hacking techniques for App downloads 00:09:00 Techniques to get to the top of App store ranking 00:07:00

Are you ready to elevate your career in retail management? Dive into our comprehensive course, "Retail Management: Retail Pricing, Psychology and Strategies," designed to equip you with the essential knowledge and skills to excel in the dynamic world of retail. Whether you're an aspiring retail manager, a seasoned professional looking to update your skills, or someone eager to understand the intricacies of the retail industry, this course is your gateway to success. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access The "Retail Management: Retail Pricing, Psychology and Strategies" course provides a comprehensive understanding of the retail industry. Learners will explore effective retail strategies, the psychology behind consumer behavior, and the importance of communicating with customers. They will also gain insights into pricing strategies, brand management, and selling across multiple channels. The course emphasizes the significance of choosing the right retail location, staying updated with trends, and targeting customers effectively. Students will learn about the sales process, how to lead and manage a retail team, and negotiating deals with suppliers. Additionally, the curriculum covers essential aspects of supply chain management, retail buying, and merchandising. It also addresses the importance of health and safety in retail stores and developing robust store security procedures. By the end of the course, learners will be equipped with the skills needed to thrive in various retail management roles. Course Curriculum Module 01: Introduction to Retail Management Module 02: Retail Strategy Module 03: Retail Psychology Module 04: Importance of Consumer Behaviour Module 05: The Importance of Communicating with Customers Module 06: Consumer Rights Act Module 07: Retail Pricing Module 08: Retail Brand Management Module 09: Selling in Multiple Channels Module 10: Choosing a Retail Location Module 11: Taking Trends and Targeting Customers Effectively Module 12: The Sales Process and Dealing with Customers at the Checkout Module 13: Management Skills for Leading Your Team Module 14: Negotiate the Right Deal with Suppliers Module 15: Supply Chain Management in Retailing Module 16: Retail Buying and Merchandising Module 17: Health and Safety for Retail Stores Module 18: Develop Store Security Procedures Learning Outcomes: Understand fundamentals and strategies of retail management. Analyse consumer behaviour and retail psychology. Communicate effectively with customers and understand consumer rights. Develop pricing strategies and brand management skills. Implement supply chain and store security procedures. Master management skills for leading retail teams. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring retail managers. Current retail employees. Small business owners. Individuals interested in consumer behaviour. Those entering the retail sector. Career path Retail Manager Store Supervisor Merchandising Manager Brand Manager Supply Chain Coordinator Customer Service Manager Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

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 Food Hygiene Level 1 online course is an excellent introduction to Food Safety. This course may be used to introduce children and people with an interest in preparing food safely for a family. It is ideal for use in schools, in addition to a regular curriculum, and for students before taking work experience in a food environment.Is this course accredited and recognised? Yes, this course is fully approved by IIRSM. Employers universally accept this qualification. You will be able to instantly download and print your certificate as soon as you successfully complete the course. How long will this course take me? Roughly 30 minutes. But you don't have to do it all in one go.Who should take this course? Anyone. Anyone who works around food or who is interested in a career in the food industry.Course TopicsWe build our courses so that you're able to better retain what you learn. This course is divided into five easy to follow interactive modules and includes a multiple-choice test at the end. The course covers the following: An introduction to food safety and hygiene Food Safety Hazards and Contamination Why Food Safety is important Personal Hygiene Hygienic Premises and Equipment Aims of the Training CourseBy the end of this Food Hygiene/ Food Safety course you will be able to: Understand food safety terms commonly used when discussing industry practice Understand the consequences of poor food safety and hygiene Know about practical activities to prevent and control hazards. Understand why personal hygiene is so important Be able to keep surfaces and equipment hygienically clean

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Are you worried how to secure your data? Enrol the Cyber Security Advanced Diploma course and learn the practical techniques for securing your information. In recent time, cybersecurity becomes mandatory because of the risk of unauthorised use and criminal activity by the hackers. Throughout the Cyber Security Advanced Diploma course, you will learn to protect and secure your company's data through the proper use of internet security management along with the IT Security knowledge. The course teaches you the up to date procedures for securing your data. Course Highlights The price is for the whole course including final exam - no hidden fees Accredited Certificate upon successful completion at an additional cost Efficient exam system with instant results Track progress within own personal learning portal 24/7 customer support via live chat Cyber Security Advanced Diploma has been given CPD accreditation and is one of the best-selling courses available to students worldwide. This valuable course is suitable for anyone interested in working in this sector or who simply wants to learn more about the topic. If you're an individual looking to excel within this field then Cyber Security Advanced Diploma is for you. We've taken this comprehensive course and broken it down into several manageable modules which we believe will assist you to easily grasp each concept - from the fundamental to the most advanced aspects of the course. It really is a sure pathway to success. All our courses offer 12 months access and are designed to be studied at your own pace so you can take as much or as little time as you need to complete and gain the full CPD accredited qualification. And, there are no hidden fees or exam charges. We pride ourselves on having friendly and experienced instructors who provide full weekday support and are ready to help with any of your queries. So, if you need help, just drop them an email and await a speedy response. Furthermore, you can check the validity of your qualification and verify your certification on our website at anytime. So, why not improve your chances of gaining professional skills and better earning potential. Assessment and Certification At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. After you have successfully passed the final exam, you will be able to order an Accredited Certificate of Achievement at an additional cost of £19 for a PDF copy and £29 for an original print copy sent to you by post or for both £39. Career Path Not only does our CPD and CiQ accredited course look good on your CV, setting you apart from the competition, it can be used as a stepping stone to greater things. Further advance your learning, launch a new career or reinvigorate an existing one. On successful completion of this course, you have the potential to achieve an estimated salary of £30,000. The sky really is the limit. Course Curriculum Cyber Security Basics Introduction 00:30:00 Child Safety Online 01:00:00 Secure Payment Sites 01:00:00 Online Banking 00:30:00 How To Keep Your Password Safe 00:30:00 Common Scams 01:00:00 How I Got Pharmed 01:00:00 Virus Protection 01:00:00 Self Maintenance 00:30:00 Personal Information Online 01:00:00 Is The Internet Safe? 00:30:00 Importance of Cyber Security 00:30:00 Internet Security Management Internet Security- The Truth About Identify Theft 01:00:00 Internet Security for Teens- What You Need to Do 01:00:00 Internet Security-Downloading Email Attachments 00:15:00 Internet Security- 5 Tips for Using Facebook 00:30:00 Internet Security- 8 Tips to Protect Yourself When Dating Online 00:30:00 Internet Security for Teens and Tweens- 10 Tips to Keep You Protected 00:15:00 Internet Security- Parental Control Software 00:30:00 Internet Security- Online Safety for Your Children 00:30:00 Cyber Bullying- Another Aspect of Breaking Internet Security 00:30:00 Tips to Ensure Internet Security 00:30:00 Internet Security- Downloading Music off the Internet 01:00:00 Internet Security- Protect Your Wireless Connection 00:30:00 Internet Security- How to Deal with Spyware 00:15:00 Internet Security- Protecting Yourself When You Shop Online 00:15:00 Internet Security- Make Sure Your Passwords Protect You 00:15:00 Make Sure Your Emails Are Safe: Tips for Internet Security 01:00:00 Internet Security- Why Should You Use a Firewall? 01:00:00 Internet security-Signs That Your Child's Safety Might Be Compromised 01:00:00 Internet Security- Safety When Using Public Computers 01:00:00 Internet Security- Storing Your Password on Your Computer 01:00:00 Internet Security-Using Social Utility Sites 00:30:00 IT Security Spyware Can Destroy 00:30:00 How Does Spyware Spread? 01:00:00 How To Remove Spyware 01:00:00 Anti Spyware Program 01:00:00 The Anti Anti-Spyware Programs 00:30:00 Research And Learn More 00:30:00 Choosing The Best Anti Spyware Tool 01:00:00 Computer Security And Spyware 01:00:00 The Programs To Avoid 00:15:00 Is It Legal? 00:30:00 Checklist Of Protection 00:15:00 Recommended Reading Recommended Reading : Cyber Security Advanced Diploma 00:00:00 Mock Exam Mock Exam - Cyber Security Advanced Diploma 00:30:00 Final Exam Final Exam - Cyber Security Advanced Diploma 00:30:00

Unlock the secrets to successful merchandising with our comprehensive course, "Merchandising: Theory, Pricing, Strategy and Inventory Management." This course is designed to equip you with the essential skills and knowledge to excel in the dynamic world of merchandising. Whether you are a budding professional or an established practitioner, this course will elevate your understanding and application of merchandising principles. Key Features: CPD Certified Developed by Specialist Lifetime Access The "Merchandising: Theory, Pricing, Strategy and Inventory Management" course offers learners a comprehensive understanding of the merchandising process. Participants will explore the fundamentals of merchandising, learning how to develop effective strategies to attract customers. They will gain insights into managing merchandise and product lines efficiently. The course covers key aspects of inventory management, including techniques for analyzing and optimizing stock levels. Learners will delve into pricing strategies to ensure products are competitively priced. Visual merchandising principles will be taught to enhance store displays and boost sales. Additionally, the course emphasizes the importance of understanding consumer behavior and effective communication with customers. Finally, learners will be informed about consumer rights to ensure ethical and legal compliance in merchandising practices. This course equips individuals with the essential skills and knowledge needed to excel in the dynamic field of merchandising. Course Curriculum Module 01: Merchandising Theory Module 02: Merchandising Strategy Module 03: Merchandise Management Module 04: Product Management Module 05: Inventory Management and Analysis Module 06: Merchandise Pricing Module 07: Visual Merchandising Module 08: Importance of Consumer Behaviour Module 09: The Importance of Communicating with Customers Module 10: Consumer Rights Act Learning Outcomes: Understand the fundamentals of merchandising theory and its applications. Develop effective merchandising strategies for various retail environments. Manage merchandise effectively to optimise sales and inventory. Apply principles of product management to enhance retail offerings. Analyse inventory management techniques to maintain optimal stock levels. Implement effective pricing strategies to maximise profitability. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in retail management. Retail store managers seeking advanced skills. Aspiring visual merchandisers. Entrepreneurs in the retail sector. Professionals in inventory management roles. Career path Retail Manager Merchandising Manager Inventory Analyst Product Manager Visual Merchandiser Supply Chain Coordinator Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.