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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
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
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Learning Objectives Learn the fundamental skills you require to be an expert Explore different techniques used by professionals Find out the relevant job skills & knowledge to excel in this profession Get a clear understanding of the job market and current demand Update your skills and fill any knowledge gap to compete in the relevant industry CPD accreditation for proof of acquired skills and knowledge Who is this Course for? This Landing Page Design And Optimisation is ideal for aspiring professionals who wish to gain the relevant skills and knowledge to fast track their careers. It is for those who have little or no knowledge of Landing Page Design & Conversion Rate Optimisation or those who are new to the field and want to test their skills and knowledge. There are no entry requirements for this course. However, an eye for detail and a creative mind is essential. Entry Requirement This course is available to all learners of all academic backgrounds. A good understanding of the English language, numeracy, and ICT are required to attend this course. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career Path On successfully completing the Landing Page Design And Optimisation, learners can progress to a more advanced program from our course list. Career opportunities in this field include freelancing or working in-house, within a range of professional settings, with the opportunity to earn a high salary. Related professions in this industry include: Digital Marketing Manager Campaign Executive Course Curriculum Module 01: Landing Page Design and Optimisation Fundamentals Download all Section One Slides 00:48:00 Welcome to this course! Let's lay the groundwork for good landing page design 00:13:00 The Myth Of The Perfect Landing Page Conversion Rate 00:12:00 The 3 Main Types of Landing Pages and How To Use Them Effectively 00:19:00 Common Business Models and Understanding Your Conversion Actions 00:19:00 The AIDA Sales Funnel and The Online Decision Making Process 00:17:00 The Awareness Stage of the Funnel: Where It All Begins 00:18:00 The Interest Stage of the Funnel Tell Me More 00:14:00 The Desire Stage of the Funnel I Want What You Sell 00:13:00 The Action Stage of the Funnel I'm Going to Buy What You Sell 00:09:00 The Fogg Behavior Model and how it Applies to Good Landing Page Design 00:20:00 Making Your Landing Page Design Memorable 00:14:00 Module 02: Principles of Good Landing Page Design: Examples, Case Studies & Best Practices Download all Section Two Slides 00:06:00 The Primacy of Product and The Concept of Usability in Landing Page Design 00:15:00 Eschew Obfuscation: Clarity and the Quest for Fewer Question Marks 00:11:00 The 5 Second Usability Test in Landing Page Design (and how you can use it now) 00:31:00 The Art and Science Behind Designing High-Converting Calls To Action (CTA's) 00:19:00 Readability and Visual Hierarchy Landing Page Design 00:20:00 Respecting Web Conventions in Landing Page Design 00:13:00 Using Videos, Graphics and Imagery to Increase Landing Page Conversion Rates 00:20:00 Information Architecture and Accessibility - Landing Page Design Best Practices 00:20:00 Trust, Safety and Credibility (Part 1) Landing Page Design Best Practices 00:16:00 Trust, Safety and Credibility (Part 2) Landing Page Design Best Practices 00:09:00 Dedicated Landing Page Design Best Practices (Part 1) 00:15:00 Dedicated Landing Page Design Best Practices (Part 2) 00:12:00 Module 03: Principles of Persuasion in Landing Page Design Download all Section Three Slides 00:32:00 Using Scarcity to Improve Conversion Rates on Your Landing Pages 00:10:00 Principles of Persuasion - Reciprocal Concessions & Reciprocity in Landing Pages 00:12:00 Principles of Persuasion Anchoring and Cognitive Dissonance Theory 00:19:00 Module 04: Designing and Building a Landing Page Step by Step in Unbounce My Favorite Landing Page Builders and Getting Started With Our Unbounce Page 00:10:00 Getting Familiar With the Unbounce Page Builder and Adding Our Header Section 00:07:00 Creating a Logo in Photoshop and Using the Unbounce Image Uploader Tool 00:16:00 Working With Background Imagery in Landing Pages and Developing Our Hero Section 00:16:00 Creating a Form, Action Block, and Finishing the Hero Section in Unbounce 00:19:00 Discussing Landing Page Design Changes and Creating our Primary Content Section 00:16:00 Finishing Page Content, Adding Icons, Footer and Working With Buttons Unbounce 00:11:00 Publishing Your Unbounce Landing Page on Your Custom Domain 00:04:00 Adding Custom CSS in Unbounce to Create Professional Drop Shadows 00:06:00 Making Your Landing Page Design Work Better With Custom Javascript Snippets 00:08:00 Mobile Site Layout in Unbounce Based on Mobile Landing Page Design Guidelines 00:03:00 Designing Your Form Confirmation Dialogue in Unbounce and Testing Your Live Form 00:03:00 Assigning A/B Testing Variants in Unbounce and Assigning Traffic Weights 00:12:00 Integrating Your Unbounce Form Submissions With Your Mailchimp Account 00:09:00 Module 05: Bonus Goodbye For Now I Will Miss You Dearly 00:03:00 Module 06: Bonus Content: Real-Life Audits - Landing Page Design Best Practices Western Computer Audit Part 1 00:08:00 Western Computer Audit Part 2 00:09:00 Western Computer Audit Part 3 00:15:00 Western Computer Audit Part 4 00:14:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00