5886 Computing courses in Tring delivered Online

Overview   With the ever-increasing demand for DevOps in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in DevOps may be.   Learning about DevOps or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in DevOps. That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on DevOps is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates.   The self-paced online learning methodology by Compete High in this Introduction to DevOps course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!   Instead of searching for hours, enrol right away on this Introduction to DevOps course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run.   Who is this course for?   While we refrain from discouraging anyone wanting to do this Introduction to DevOps course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of DevOps, Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in DevOps, Anyone looking for a certificate of completion on doing an online training on this topic, Students of DevOps, or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity   Career Path   This Introduction to DevOps course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.    Course Curriculum Module 01_ Introducing DevOps Introducing DevOps 00:00 Module 02_ Designing Your Organisation Designing Your Organisation 00:00 Module 03_ Identifying Waste Identifying Waste 00:00 Module 04_ Measuring Your Organisation Measuring Your Organisation 00:00 Module 05_ Embracing the New Development Life Cycle Embracing the New Development Life Cycle 00:00 Module 06_ Designing Features from a DevOps Perspective Designing Features from a DevOps Perspective 00:00 Module 07_ Implementing Rapid Iteration Implementing Rapid Iteration 00:00 Module 08_ Creating Feedback Loops around the Customer Creating Feedback Loops around the Customer 00:00

“Empower yourself with our Cybersecurity: Understand Threats and Prevent Attacks course. Gain vital insights into cybersecurity threats and effective prevention strategies to safeguard your digital assets.”

Empower yourself with critical cybersecurity knowledge in just 90 minutes. From securing passwords to encryption, this course covers essential security measures for protecting digital and physical assets. Ideal for anyone keen on safeguarding their cyber presence.

"Empower yourself with our Cybersecurity: Understand Threats and Prevent Attacks course. Gain vital insights into cybersecurity threats and effective prevention strategies to safeguard your digital assets."

Overview This comprehensive course on Mastering Microsoft Office: Word, Excel, PowerPoint, and 365 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Mastering Microsoft Office: Word, Excel, PowerPoint, and 365 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 Mastering Microsoft Office: Word, Excel, PowerPoint, and 365. It is available to all students, of all academic backgrounds. Requirements Our Mastering Microsoft Office: Word, Excel, PowerPoint, and 365 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 34 sections • 135 lectures • 08:20:00 total length •Introduction: 00:03:00 •Getting started on Windows, macOS, and Linux: 00:01:00 •How to ask great questions: 00:01:00 •FAQ's: 00:01:00 •Excel Overview: 00:05:00 •Start Excel Spreadsheet: 00:04:00 •Enter Text and Numbers: 00:07:00 •Relative References: 00:04:00 •Working with ranges: 00:07:00 •Save and Save as Actions: 00:08:00 •File Extensions, Share, Export, and Publish files: 00:06:00 •Adding Rows and Columns: 00:03:00 •Modifying Rows and Column lengths: 00:05:00 •Copy, Cut, and Paste: 00:07:00 •Copying Formulas: 00:03:00 •Page setup options: 00:06:00 •Fit to print on One Page: 00:03:00 •Print Workbooks: 00:03:00 •Sorting Data Ascending Order: 00:04:00 •Sorting Data Descending Order: 00:02:00 •Filter Data: 00:04:00 •Creating Basic Formulas: 00:06:00 •Datetime Formulas: 00:06:00 •Mathematical formulas phase1: 00:20:00 •Mathematical formulas phase2: 00:12:00 •VLOOKUP formula: 00:12:00 •HLOOKUP formula: 00:04:00 •XLOOKUP: 00:08:00 •Handling #NA and Approximates match in XLOOKUP: 00:11:00 •Split Text into columns: 00:07:00 •Flash Fill: 00:07:00 •Data Validation: 00:07:00 •Remove Duplicates: 00:08:00 •Import Data from Text files: 00:06:00 •Import Data from .CSV files: 00:03:00 •Formatting Font: 00:04:00 •Formatting Alignment: 00:06:00 •Formatting Numbers: 00:05:00 •Formatting Date: 00:03:00 •Formatting Tables: 00:05:00 •Pivot Tables: 00:07:00 •Pivot Charts: 00:02:00 •Excel Charts - Categories: 00:03:00 •Elements of a chart: 00:04:00 •Creating Charts: 00:02:00 •Column or Bar charts: 00:04:00 •Formatting charts: 00:04:00 •Line Charts: 00:02:00 •Pie and Doughnut charts: 00:04:00 •Overview: 00:04:00 •Start PowerPoint Presentation: 00:05:00 •Screen setting and Views: 00:05:00 •Presentation Tips and Guidelines: 00:06:00 •Creating a New Presentation: 00:04:00 •Working with Slides: 00:04:00 •Save a Presentation: 00:04:00 •Print Slides: 00:03:00 •Formatting Text: 00:05:00 •Slide Text Alignments: 00:03:00 •Multi-Column Text Alignments: 00:02:00 •Adding Bullets and Numbered List Items: 00:03:00 •Insert Shapes: 00:03:00 •Insert Icons: 00:03:00 •Insert Graphics: 00:04:00 •Add 3D Models: 00:03:00 •Insert Pictures: 00:03:00 •Picture Options: 00:04:00 •Picture Cropping: 00:03:00 •Applying Built-in Picture Styles: 00:04:00 •Add SmartArt Graphic: 00:03:00 •Modifying SmartArt: 00:03:00 •Creating a Target Chart using SmartArt: 00:03:00 •Create a Table on Slide: 00:04:00 •Formatting Tables: 00:02:00 •Inserting Tables: 00:02:00 •Table Layouts: 00:01:00 •Add a Chart: 00:02:00 •Formatting Charts: 00:02:00 •Insert Chart from Microsoft Excel: 00:03:00 •Adding Video to a Presentation: 00:03:00 •Adding Audio to a Presentation: 00:02:00 •Screen Recording and Adding: 00:02:00 •Applying Transitions to Presentation: 00:04:00 •Object Animation: 00:03:00 •Effect Options: 00:02:00 •Advanced Animation: 00:02:00 •Triggers to control animation: 00:02:00 •Onscreen Presentation: 00:02:00 •Hiding Slides: 00:02:00 •Changing Order of Slides: 00:02:00 •Copying Slides: 00:02:00 •Overview of MS Word: 00:04:00 •Start MS Word 2021: 00:05:00 •Create a new blank document: 00:04:00 •Creating a paragraph text: 00:05:00 •Non-printing characters: 00:03:00 •Save a document: 00:03:00 •Open a document: 00:01:00 •Find and replace: 00:04:00 •AutoCorrect options: 00:03:00 •Formatting text: 00:04:00 •Copy cut and paste: 00:04:00 •Character formatting: 00:02:00 •Format painter: 00:04:00 •Work with numbers: 00:02:00 •Add bullets: 00:03:00 •Outline creation: 00:04:00 •Creating a table: 00:03:00 •Adding rows and columns to a table: 00:02:00 •Formatting table data: 00:02:00 •Borders and shading: 00:02:00 •Sorting in a table: 00:04:00 •Draw a table: 00:04:00 •Convert text to table: 00:03:00 •Convert table to text: 00:02:00 •Insert a spreadsheet: 00:02:00 •Quick tables - readily available formats: 00:02:00 •Working with styles: 00:02:00 •Creating styles: 00:02:00 •Clear formatting: 00:01:00 •Margins: 00:02:00 •Orientation: 00:01:00 •Page size setting: 00:01:00 •Adding columns: 00:03:00 •Page break - section break: 00:02:00 •Adding watermark: 00:03:00 •Headers and footers: 00:03:00 •Create envelops: 00:02:00 •Creating labels: 00:02:00 •Creating a mail merge document: 00:03:00 •Thesaurus and spell check: 00:01:00 •Word count: 00:01:00 •Speech - read aloud: 00:01:00 •Language - translate: 00:01:00 •Tracking: 00:01:00

Duration 2 Days 12 CPD hours This course is intended for Anyone who works with IBM SPSS Statistics and wants to learn advanced statistical procedures to be able to better answer research questions. Overview Introduction to advanced statistical analysis Group variables: Factor Analysis and Principal Components Analysis Group similar cases: Cluster Analysis Predict categorical targets with Nearest Neighbor Analysis Predict categorical targets with Discriminant Analysis Predict categorical targets with Logistic Regression Predict categorical targets with Decision Trees Introduction to Survival Analysis Introduction to Generalized Linear Models Introduction to Linear Mixed Models This course provides an application-oriented introduction to advanced statistical methods available in IBM SPSS Statistics. Students will review a variety of advanced statistical techniques and discuss situations in which each technique would be used, the assumptions made by each method, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for predicting variables, as well as methods to cluster variables and cases. Introduction to advanced statistical analysis Taxonomy of models Overview of supervised models Overview of models to create natural groupings Group variables: Factor Analysis and Principal Components Analysis Factor Analysis basics Principal Components basics Assumptions of Factor Analysis Key issues in Factor Analysis Improve the interpretability Use Factor and component scores Group similar cases: Cluster Analysis Cluster Analysis basics Key issues in Cluster Analysis K-Means Cluster Analysis Assumptions of K-Means Cluster Analysis TwoStep Cluster Analysis Assumptions of TwoStep Cluster Analysis Predict categorical targets with Nearest Neighbor Analysis Nearest Neighbor Analysis basics Key issues in Nearest Neighbor Analysis Assess model fit Predict categorical targets with Discriminant Analysis Discriminant Analysis basics The Discriminant Analysis model Core concepts of Discriminant Analysis Classification of cases Assumptions of Discriminant Analysis Validate the solution Predict categorical targets with Logistic Regression Binary Logistic Regression basics The Binary Logistic Regression model Multinomial Logistic Regression basics Assumptions of Logistic Regression procedures Testing hypotheses Predict categorical targets with Decision Trees Decision Trees basics Validate the solution Explore CHAID Explore CRT Comparing Decision Trees methods Introduction to Survival Analysis Survival Analysis basics Kaplan-Meier Analysis Assumptions of Kaplan-Meier Analysis Cox Regression Assumptions of Cox Regression Introduction to Generalized Linear Models Generalized Linear Models basics Available distributions Available link functions Introduction to Linear Mixed Models Linear Mixed Models basics Hierachical Linear Models Modeling strategy Assumptions of Linear Mixed Models Additional course details: Nexus Humans 0G09A IBM Advanced Statistical Analysis Using IBM SPSS Statistics (v25) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the 0G09A IBM Advanced Statistical Analysis Using IBM SPSS Statistics (v25) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Machine learning doesn’t need to be intimidating—especially when you’ve got R on your side. This course offers a clear, well-paced approach to learning machine learning using one of the most respected languages in data science. Whether you’re brushing up on your statistics or stepping into data modelling, the content is structured to help you think algorithmically and act analytically, without feeling overwhelmed by jargon or complexity. From regression techniques to classification methods and everything in-between, this course covers the core building blocks that give machine learning its predictive power. R is not just a programming language here—it’s your analytical toolkit. If terms like decision trees, clustering, and support vector machines sound like something out of a sci-fi novel, don’t worry—by the end, they’ll feel like familiar companions. Whether you’re analysing patterns or building predictive models, this course offers a confident route through the world of machine learning with an R-flavoured lens. Ask ChatGPT Learning Outcomes: Understand the basics of machine learning and its implementation using R. Develop the skills to build simple and multiple linear regression models. Learn how to use R to analyse datasets and develop predictive models. Understand the concept of dummy variables and the backward elimination approach. Learn how to make accurate predictions using machine learning algorithms and extract valuable insights from data. If you're looking to expand your knowledge in data analysis and machine learning, then the "Learn Machine Learning with R" course is perfect for you. This comprehensive course comprises two sections, each designed to help you gain an in-depth understanding of machine learning concepts, starting from the very basics. You'll learn about linear regression, the equation for the algorithm, and how to make simple linear regression models. Additionally, you'll dive into multiple linear regression, dummy variable concepts, and predictions over the year. With the help of this course, you'll be able to analyse datasets, develop predictive models, and extract valuable insights from them, using R. Learn Machine Learning with R Course Curriculum Section 01: Linear Regression and Logistic Regression Working on Linear Regression Equation Making the Regression of the Algorithm Basic Types of Algorithms predicting the Salary of the Employee Making of Simple Linear Regression Model Plotting Training Set and Work Section 02: Understanding Dataset Multiple Linear Regression Dummy Variable Concept Predictions Over Year Difference Between Reference Elimination Working of the Model Working on Another Dataset Backward Elimination Approach Making of the Model with Full and Null How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Students or professionals looking to develop their data analysis and machine learning skills. Individuals interested in pursuing a career in data science or machine learning. Anyone interested in understanding how to extract insights from data. Programmers looking to learn machine learning implementation using R. Beginners interested in learning the basics of machine learning. Career path Data analyst: £30,000 to £50,000 Machine learning engineer: £45,000 to £85,000 Data scientist: £40,000 to £80,000 Business analyst: £30,000 to £55,000 Research analyst: £25,000 to £45,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

R isn’t just for statisticians hiding behind graphs — it’s a powerful tool for machine learning, and this course shows you exactly how to put it to work. Designed for curious minds with an interest in data prediction, modelling, and pattern recognition, this course guides you through the essentials of machine learning using R. You’ll explore key techniques like classification, regression, and clustering, all explained in plain English (with just the right amount of code). If you’ve ever wondered how machines “learn” from data — without trying to make them smarter than your laptop needs to be — this course breaks it down with clear logic and no unnecessary flair. Study entirely online, at your own pace, with structured content focused on helping you understand how algorithms behave, why they do what they do, and how to make them behave a little better. Whether you're dipping your toes or deepening your skills, it’s all here, minus the fluff and drama. Learning Outcomes: Understand the basics of machine learning and its implementation using R. Develop the skills to build simple and multiple linear regression models. Learn how to use R to analyse datasets and develop predictive models. Understand the concept of dummy variables and the backward elimination approach. Learn how to make accurate predictions using machine learning algorithms and extract valuable insights from data. If you're looking to expand your knowledge in data analysis and machine learning, then the "Learn Machine Learning with R" course is perfect for you. This comprehensive course comprises two sections, each designed to help you gain an in-depth understanding of machine learning concepts, starting from the very basics. You'll learn about linear regression, the equation for the algorithm, and how to make simple linear regression models. Additionally, you'll dive into multiple linear regression, dummy variable concepts, and predictions over the year. With the help of this course, you'll be able to analyse datasets, develop predictive models, and extract valuable insights from them, using R. ⊱⊱ Learn Machine Learning with R Course Curriculum Section 01: Linear Regression and Logistic Regression Working on Linear Regression Equation Making the Regression of the Algorithm Basic Types of Algorithms predicting the Salary of the Employee Making of Simple Linear Regression Model Plotting Training Set and Work Section 02: Understanding Dataset Multiple Linear Regression Dummy Variable Concept Predictions Over Year Difference Between Reference Elimination Working of the Model Working on Another Dataset Backward Elimination Approach Making of the Model with Full and Null How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Students or professionals looking to develop their data analysis and machine learning skills. Individuals interested in pursuing a career in data science or machine learning. Anyone interested in understanding how to extract insights from data. Programmers looking to learn machine learning implementation using R. Beginners interested in learning the basics of machine learning. Career path Data analyst: £30,000 to £50,000 Machine learning engineer: £45,000 to £85,000 Data scientist: £40,000 to £80,000 Business analyst: £30,000 to £55,000 Research analyst: £25,000 to £45,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Medical coding and billing course aims to provide students with a thorough understanding of the business and economics of healthcare, marketing, and medical insurance.

Overview With the ever-increasing demand for PC Security Fundamentals in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in PC Security Fundamentals may be. Learning about PC Security Fundamentals or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in PC Security Fundamentals . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on PC Security Fundamentals is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates. The self-paced online learning methodology by compete high in this PC Security Fundamentals course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course! Instead of searching for hours, enrol right away on this PC Security Fundamentals course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run. Who is this course for? While we refrain from discouraging anyone wanting to do this PC Security Fundamentals course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of PC Security Fundamentals , Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in PC Security Fundamentals , Anyone looking for a certificate of completion on doing an online training on this topic, Students of PC Security Fundamentals , or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity Career Path This PC Security Fundamentals course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.  Course Curriculum Chapter 1_ Spam and Malware Chapter 1_ Spam and Malware 00:00 Chapter 2_ Phishing and Viruses Chapter 2_ Phishing and Viruses 00:00 Chapter 3_ Software Protection Chapter 3_ Software Protection 00:00