4113 Computing courses in Sawbridgeworth delivered On Demand

Cybersecurity involves safeguarding the networks and devices you use to protect your data from online criminals. At the most basic level, this can be locking your phone with facial recognition or using a strong password for your private Wi-Fi connection. So, why should you care about cybersecurity? Whether you access sensitive data daily through company networks or simply use your phone to surf the web, any online activity can provide avulnerabilityfor criminals to exploite, a loophole they can enter through to access personal information. Learning Objectives The following are some of the key outcomes in this course: Understand the types of cybercrime you're likely to encounter. Learn how to weigh the risks of using public Wi-Fi and how to prepare for a safe connection. Understand safe social media practices to stay connected with your social network. Understand the benefits and risks of social media platforms and the impact on your professional reputation. Target Audience Young Professionals

Spam, online scams and frauds, identity theft, and issues related to online purchases are severe issues in the online world. Navigating the Web while avoiding these threats can be a challenging task. Phone scams can cost their victims time, money, and even their identity. Sometimes called 'vishing,' phone scams can also create entry points to more sophisticated hacking operations that can devastate individuals and organizations. Malware can leave you vulnerable to data loss, damaged devices, or even identity theft. With one innocent click, you could be a victim. Learning Objectives The following are some of the key outcomes in this course: Learn what vishing attacks are and why people fall for them Understand why it's important to protect sensitive information, and five ways to keep it safe How to recognize and stop a phone scammer Understand the types of Malware and how to recognize and avoid it Learn what to do if your device becomes infected Target Audience Young Professionals

Confidential information, like new product features, changes hands every day at work. Now, more than ever, individuals and companies need to protect their data with impenetrable passwords. Cybercriminals can fetch a tidy sum selling stolen passwords and login credentials via the dark web. Cyber and physical attacks have equal potential to harm businesses. That's why it's essential to address them quickly-to prevent or control the damage. Learning Objectives The following are some of the key outcomes in this course: Describe the types of information and the importance of confidentiality Understand how to protect confidential information Understand why strong passwords are essential and learn about login security measures to keep your information and accounts safe Understand the common types of security threats and how to help mitigate or stop the threat Target Audience Young Professionals

Preparing for the CISSP Certification Exam? Then this course is for you. In this course, you will learn more effective CISSP study techniques, exam hacks, formats, and strategies, as well as how to correctly respond to exam questions.

Learn bash programming for Linux, Unix, & Mac. Learn how to write bash scripts like a pro & solve real-world problems!

Learn PHP in less than 90 minutes with this fast-paced PHP guide

Get a grip on the core fundamentals of Vue.js 3 and learn to build reusable components-based applications with the help of this course. This course includes three projects that will help you gain hands-on experience with Vue.js, Vuex, and Vue router.

Let your online presence reflect your services, products, and articles by developing a successful online business or website using effective search engine optimization (SEO) strategies! This course will help you move your website and content to the first page of Google and other major search engines by getting you up to speed with the latest SEO techniques.

The course is crafted to help you understand not only the role and impact of recommender systems in real-world applications but also provide hands-on experience in developing complete recommender systems engines for your customized dataset using projects. This learning-by-doing course will help you master the concepts and methodology of Python.

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