4109 Computing courses in St Andrews delivered On Demand

24 Hours Left! Don't Let Year-End Deals Slip Away - Enrol Now! This Advanced Diploma in Cyber Security Law at QLS Level 7 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 180 CPD points) to make your skill development & career progression more accessible than ever! Are you looking to improve your current abilities or make a career move? If yes, our unique Cyber Security Law at QLS Level 7 course might help you get there! It is an expertly designed course which ensures you learn everything about the topic thoroughly. Expand your expertise with high-quality training from the Cyber Security Law at QLS Level 7 course. Due to Cyber Security Law at QLS Level 7's massive demand in the competitive market, you can use our comprehensive course as a weapon to strengthen your knowledge and boost your career development. Learn Cyber Security Law at QLS Level 7 from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career. The Cyber Security Law at QLS Level 7 course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the Cyber Security Law at QLS Level 7 course, an instant e-certificate will be exhibited in your profile that you can order as proof of your skills and knowledge. Add these amazing new skills to your resume and boost your employability by simply enrolling in this Cyber Security Law at QLS Level 7 course. This Cyber Security Law at QLS Level 7 training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence! Why Prefer This Cyber Security Law at QLS Level 7 Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS which is completely free. Get a free student ID card! (£10 postal charge will be applicable for international delivery) Innovative and engaging content. Free assessments 24/7 tutor support. Take a step toward a brighter future! *** Course Curriculum *** Here is the curriculum breakdown of the Cyber Security Law at QLS Level 7 course: Module 01: Introduction to Cyber Law Module 02: Cyber Law, Cyber Ethics and Online Gambling Module 03: Cyber Crime, Cyber Security and Trust in Cyberspace Module 04: Threat Factors: Computer as a Target Module 05: Threats to Cyber Security by Criminals and Organised Crimes Module 06: Threats to Cybersecurity by Hacktivists and Nation-States Module 07: Cyberterrorism Module 08: An Evolving Threat: The Deep Web Module 09: Fraud Module 10: Jurisdiction Assessment Process You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the Advanced Diploma in Cyber Security Law at QLS Level 7 exams. CPD 180 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Cyber Security Law at QLS Level 7 course is perfect for highly motivated people who want to improve their technical skills and prepare for the career they want! Requirements No prior background or expertise is required. Career path The Cyber Security Law at QLS Level 7 course will boost your CV and aims to help you get the job or even the long-awaited promotion of your dreams. Certificates Advanced Diploma in Cyber Security Law at QLS Level 7 Hard copy certificate - Included CPD Accredited Certificate Digital certificate - Included Upon successfully completing the Bundle, you will need to place an order to receive a PDF Certificate for each course within the bundle. These certificates serve as proof of your newly acquired skills, accredited by CPD QS. Also, the certificates are recognised throughout the UK and internationally. CPD Accredited Certificate Hard copy certificate - Included International students are subject to a £10 delivery fee for their orders, based on their location.

Learn to build an amazing REST API with Spring Boot and understand what all this hype about microservices is about.

The "YAML Fundamentals" course helps beginners with the required skills to develop YAML documents. It will also help you gain skills to develop a properly structured YAML document in both block style and flow style. The "flow style" is also known as JSON style or compact style. If you are looking forward to adding YAML to your skillset, then this course is what you need. In today's market, every IT professional is expected to know YAML.

Create stunning user interfaces across all Apple platforms with Swift 5

Learn the Ruby programming language and JavaScript coding from beginner to intermediate for web development - fast!

This course is a complete guide to Arduino. Designed with multiple practical projects, you can gain hands-on experience during this course. Programming and electronics fundamentals are also covered in the course.

A course that focuses on using Kotlin for server-side development using the Spring Boot framework. This hands-on course will help you get familiar with the basics of the Kotlin programming language as well as the entire process of building RESTful APIs using Kotlin Spring Boot.

This video covers the essential topics necessary for working with Apache Maven. You will understand the techniques and methods to create multi-module Apache Maven projects from scratch, along with delving into topics needed for testing and deploying Java applications.

Overview This comprehensive course on Statistics & Probability for Data Science & Machine Learning will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Statistics & Probability for Data Science & Machine Learning comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Statistics & Probability for Data Science & Machine Learning. It is available to all students, of all academic backgrounds. Requirements Our Statistics & Probability for Data Science & Machine Learning is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 10 sections • 89 lectures • 11:27:00 total length •Welcome!: 00:02:00 •What will you learn in this course?: 00:06:00 •How can you get the most out of it?: 00:06:00 •Intro: 00:03:00 •Mean: 00:06:00 •Median: 00:05:00 •Mode: 00:04:00 •Mean or Median?: 00:08:00 •Skewness: 00:08:00 •Practice: Skewness: 00:01:00 •Solution: Skewness: 00:03:00 •Range & IQR: 00:10:00 •Sample vs. Population: 00:05:00 •Variance & Standard deviation: 00:11:00 •Impact of Scaling & Shifting: 00:19:00 •Statistical moments: 00:06:00 •What is a distribution?: 00:10:00 •Normal distribution: 00:09:00 •Z-Scores: 00:13:00 •Practice: Normal distribution: 00:04:00 •Solution: Normal distribution: 00:07:00 •Intro: 00:01:00 •Probability Basics: 00:10:00 •Calculating simple Probabilities: 00:05:00 •Practice: Simple Probabilities: 00:01:00 •Quick solution: Simple Probabilities: 00:01:00 •Detailed solution: Simple Probabilities: 00:06:00 •Rule of addition: 00:13:00 •Practice: Rule of addition: 00:02:00 •Quick solution: Rule of addition: 00:01:00 •Detailed solution: Rule of addition: 00:07:00 •Rule of multiplication: 00:11:00 •Practice: Rule of multiplication: 00:01:00 •Solution: Rule of multiplication: 00:03:00 •Bayes Theorem: 00:10:00 •Bayes Theorem - Practical example: 00:07:00 •Expected value: 00:11:00 •Practice: Expected value: 00:01:00 •Solution: Expected value: 00:03:00 •Law of Large Numbers: 00:08:00 •Central Limit Theorem - Theory: 00:10:00 •Central Limit Theorem - Intuition: 00:08:00 •Central Limit Theorem - Challenge: 00:11:00 •Central Limit Theorem - Exercise: 00:02:00 •Central Limit Theorem - Solution: 00:14:00 •Binomial distribution: 00:16:00 •Poisson distribution: 00:17:00 •Real life problems: 00:15:00 •Intro: 00:01:00 •What is a hypothesis?: 00:19:00 •Significance level and p-value: 00:06:00 •Type I and Type II errors: 00:05:00 •Confidence intervals and margin of error: 00:15:00 •Excursion: Calculating sample size & power: 00:11:00 •Performing the hypothesis test: 00:20:00 •Practice: Hypothesis test: 00:01:00 •Solution: Hypothesis test: 00:06:00 •T-test and t-distribution: 00:13:00 •Proportion testing: 00:10:00 •Important p-z pairs: 00:08:00 •Intro: 00:02:00 •Linear Regression: 00:11:00 •Correlation coefficient: 00:10:00 •Practice: Correlation: 00:02:00 •Solution: Correlation: 00:08:00 •Practice: Linear Regression: 00:01:00 •Solution: Linear Regression: 00:07:00 •Residual, MSE & MAE: 00:08:00 •Practice: MSE & MAE: 00:01:00 •Solution: MSE & MAE: 00:03:00 •Coefficient of determination: 00:12:00 •Root Mean Square Error: 00:06:00 •Practice: RMSE: 00:01:00 •Solution: RMSE: 00:02:00 •Multiple Linear Regression: 00:16:00 •Overfitting: 00:05:00 •Polynomial Regression: 00:13:00 •Logistic Regression: 00:09:00 •Decision Trees: 00:21:00 •Regression Trees: 00:14:00 •Random Forests: 00:13:00 •Dealing with missing data: 00:10:00 •ANOVA - Basics & Assumptions: 00:06:00 •One-way ANOVA: 00:12:00 •F-Distribution: 00:10:00 •Two-way ANOVA - Sum of Squares: 00:16:00 •Two-way ANOVA - F-ratio & conclusions: 00:11:00 •Wrap up: 00:01:00 •Assignment - Statistics & Probability for Data Science & Machine Learning: 00:00:00

Explore data connectivity and streamline workflows by mastering integrating Salesforce with external systems. Discover a range of tools and techniques to seamlessly connect Salesforce with external apps. Understand concepts such as Auth Providers/Named Credentials, HTTP callouts, and OpenAPI 3.0, and achieve robust integrations without coding.