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Perl training course description A hands on introduction to programming in Perl. What will you learn Write Perl programs. Use Perl modules. Debug Perl programs. Examine existing code and determine its function. Perl training course details Who will benefit: Anyone wishing to learn Perl. Prerequisites: None although experience in another high level language would be useful. Duration 5 days Perl training course contents Introduction to Perl What is Perl? When to use Perl, downloading Perl, installing Perl, documentation, perldoc, running Perl, the Perl environment. Perl under UNIX, Perl under Windows. "Hello world". Variables Scalars, data types, $_, strings and numbers, assignment, constants, strict, scope, STDIN. Operators Number operators, string operators, precedence and associativity, converting numbers and strings, shortcut operators. Flow control Blocks, if, else, elseif, unless, foreach, while, for do, until. Regular expressions What are regular expressions? Pattern matching, Perl as a filter, file editing. Strings Comparing strings, concatenating, substrings, chomp, chop, formatting, string manipulation. Subroutines Comparing strings, concatenating, substrings, chomp, chop, formatting, string manipulation. Arrays and hashes Working with arrays, element access, push(), pop(), shift(), unshift(), <STDIN> as an array, associative arrays, hashes of arrays, hash references, arrays of hashes, hashes of hashes. Files Simple file handling, open, close, <FILEHANDLE>, <>, file tests, directory access, directory handles, database access, packing and packing binary data. I/O STDIN, STDOUT and STDERR, Command line arguments,@ARGV. Perl debugging The built in debugger, running the debugger, debugger commands, graphical debuggers. Script syntax errors, single stepping, breakpoints, watches. Packages and modules CPAN, Finding modules, installing modules, using modules, scope. Report formatting Formats, defining a format, invoking a format, field holders. Process management System interaction, system(), exec(), signals. Security issues.

Pronouns are a fundamental aspect of human communication, and recognizing their importance, especially in the context of gender identity, is essential for creating an inclusive and welcoming workspace. This comprehensive course is designed to foster an understanding of the significance of pronoun inclusivity in today's diverse work environments. Analyze the evolving landscape of gender identities and pronoun usage, shedding light on non-binary, genderqueer, and other identities that may not conform to traditional binary gender norms. Participants will explore the profound impact that pronoun inclusivity can have on teamwork, communication, and overall workplace satisfaction. Learning Objectives Define and explain the concept of pronoun inclusivity and its significance in fostering diversity and inclusion in the workplace.;Comprehend the evolving landscape of gender identities and be familiar with a variety of pronouns beyond the traditional he/him and she/her.;Recognize the importance of pronoun inclusivity in attracting and retaining diverse talent, creating a respectful work environment, and reducing communication breakdowns.;Implement practical strategies to promote pronoun inclusivity within your organization, including introducing pronouns during introductions, updating materials, and encouraging respectful language use.

Register on the Machine Learning Basics today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The Machine Learning Basics is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Machine Learning Basics Receive an e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Upon successful completion of the final assessment, you will be eligible to apply for the Quality Licence Scheme Endorsed Certificate of achievement. This certificate will be delivered to your doorstep through the post for £119. An extra £10 postage charge will be required for students leaving overseas.  CPD Accredited Certificate After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Who Is This Course For The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements The online training is open to all students and has no formal entry requirements. To study the Machine Learning Basics, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and Total Charge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for Total Charge 00:14:00 The 'Just Right' Model for Toral Charge: A More Detailed Error Analysis@@ 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Apache training course description A hands on training course covering installation, configuration and management of the Apache web server. What will you learn Install Apache. Configure Apache. Manage Apache. Build static and dynamic web sites with Apache. Secure Apache. Apache training course details Who will benefit: Technical staff working with Apache. Prerequisites: TCP/IP foundation for engineers. UNIX fundamentals Duration 3 days Apache training course contents Installing Apache What is Apache? Apache versions, history, downloading Apache, source distribution, compilation, binary distribution, installation, platform considerations. Hands on Downloading and installing Apache. Controlling the Apache server Running Apache, automatic Apache start, starting, stopping, restarting Apache. Checking Apache status. Hands on Server control. Configuration Serving webpages, setting the document root, applying configuration changes, Configuration files, httpd.conf, syntax, directives, modules, utilities, turning features on/off. Hands on basic Apache configuration. More configuration MIME, URL mapping, content negotiation, indexing, performance tuning. Logging log file content, configuration, log file locations, error logging, browser errors, error page configuration, forbidden index pages. Hands on Log files. Security File permissions, .htaccess, protecting files with passwords, password files, authentication, restricting access by IP address. Secure HTTP HTTPS, installing mod_ssl, certificates, configuring mod_ssl, http and https coexistence Virtual hosts Multiple sites on one server, separate configuration files, IP based, name based, port based, virtual host names, enabling, defining, configuring, aliases, testing, https virtual hosts. Hands on Virtual hosts. Dynamic sites Dynamic sites, CGI, PHP, PERL, CGI programs, example CGI scripts, Apache and CGI, CGI parameters, CGI issues, PHP, mod_php, Perl and Apache, mod_perl, installing mod_perl. Hands on CGI, PHP and Perl with Apache. Modules What are modules, standard modules, loading modules, mod_speling, mod_rewrite, other special purpose modules, URL rewriting, redirection, URL transformation, browser dependent pages. Hands on Working with modules.

Learn to program with Python 3, visualize algorithms and data structures, and implement them in Python projects

Transgender Awareness and Understanding giving you a good overview of all trans issues, pronouns, workplace equality and so much more

Total H.248 training course description A course focusing purely on the H.248 protocol. Anyone working through the ITU standards documents can testify to the need of a training course to explain how H.248 really works. This course already assumes knowledge of other VoIP protocols and starts by positioning H.248 in relation to the other protocols. The course then looks at H.248 architectures and concepts before analysing H.248 messages and call flows. What will you learn Describe what H.248 is Recognise where H.248 fits in relation to other VoIP protocols. Explain how H.248 works. Analyse H.248 packets Total H.248 training course details Who will benefit: Technical staff working with H.248 Prerequisites: Voice Over IP. Duration 2 days Total H.248 training course contents What is H.248? Review of VoIP protocols: RTP, RTCP, SIP, SDP, H.323. The PSTN and SS7. Where H.248 fits into the picture. H.248 history. MGCP. The IETF. Megaco. ITU standards. H.248v1, v2, v3. H.248 architectures Media Gateways, Media Gateway Controllers, Gateway Control functions, Signalling Gateways. Reference architectures: IMS/TISPAN: IBCF, IWF, I-BGF, SPDF. MSF: S-SBG-NC, D-SBG-NC. GSMA: IPX Proxy. Softswitches. H.248 concepts The connection model, terminations, streams, contexts. Termination properties: descriptors, context properties. Events, signals, packages. H.248 messages Protocol stack, UDP, TCP. Message structure. Transactions, actions, commands. Requests, replies, acknowledgements. Sample message flows. Binary encoding, ASN syntax, Text encoding. H.248 commands Termination manipulation: Add, Subtract, Move, Modify. Event reporting: Notify. Management: AuditCapability, AuditValue, ServiceChange. H.248 Descriptors What are descriptors? Relationship with messages and commands. Basic descriptors, Descriptors composed of other descriptors. The 19 descriptors. Defaults. H.248 Transactions Groups of commands, transaction Ids, relationship with actions and commands. Requests and replies. H.248 wrap up What is a package? Basic packages. H.248 security. H.248 - SIP interoperation. H.248 interoperation with other protocols.

Implement machine learning-based clustering and classification in Python for pattern recognition and data analysis

The 'Digital Electric Circuits & Intelligent Electrical Devices' course provides an introduction to digital electric circuits and explores intelligent electrical devices. The course covers topics such as numbering systems, binary arithmetic, logic gates, flip-flops, counters, shift registers, and adders. Learning Outcomes: Understand different numbering systems and perform binary arithmetic. Gain knowledge of logic gates and their applications in digital circuits. Learn about flip-flops, counters, shift registers, and adders, and their roles in digital electric circuits and intelligent electrical devices. Why buy this Digital Electric Circuits & Intelligent Electrical Devices? 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 Electric Circuits & Intelligent Electrical Devices there will be a written assignment test which you can take either during or at the end of the course. 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 Electric Circuits & Intelligent Electrical Devices course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Digital Electric Circuits & Intelligent Electrical Devices does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Digital Electric Circuits & Intelligent Electrical Devices 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 Electric Circuits & Intelligent Electrical Devices is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Digital Electric Circuits & Intelligent Electrical Devices Module 01: Introduction 00:06:00 Module 02: Numbering Systems 00:28:00 Module 03: Binary Arithmetic 00:19:00 Module 04: Logic Gates 00:30:00 Module 05: Flip-Flops 00:23:00 Module 06: Counters & Shift Registers 00:12:00 Module 07: Adders 00:11:00 Assignment Assignment - Digital Electric Circuits & Intelligent Electrical Devices 00:00:00

This course is an exploration of our understanding of structural racism in the UK and provides a good foundation for anyone wanting to be a responsible ally. Are you working with young people, but struggling with conversations about race? Are you worried that you have been getting it wrong when it comes to race? Do you have questions about race that you are afraid to ask? This course is for you. Description  Racism is a real problem in the UK, but it is much more hidden and covert than it has been in the past. People know its not ok to say the ’N-word’, but sadly, racism has permeated British society much more deeply than this. On this course we will help redefine the idea of racism and explain the complex nature of its modern day manifestation. We will explore how to talk with young people about race and particularly how to challenge when racism occurs. To achieve this, we need to start with ourselves. We will cover the idea of Unconscious Bias making us react differently to people based on our socialisation. We will cover the concept of White Privilege making it difficult for white people to get into the shoes of someone of another race. We will cover the concept of micro-aggressions that are difficult to report to a superior because they may be misconstrued as a mere “interpretation” of the situation and not an incident of racism. We will introduce the idea of the “racism binary”, and how we need to become more accountable for our own actions, and instead of getting offended, take responsibility when someone says something we did or said was racist. This can lead to a much more useful conversation than trying to defend yourself by saying “I’m not racist”.  When we live in a world where racism doesn’t exist, only then can we say “I don’t see colour”, because it does exist, and it does have an impact on peoples lives.  When racist incidents happen, people get hurt. Unfortunately, it is an all too familiar feeling for a lot of people in the UK who have been forced to accept it as part of life. Most of these situations will never be resolved, because they will never be reported. Poor handling of racist incidents teach young people not to say anything, thinking it will only make the situation worse. A lot of people believe that racism is never going away, because their experiences have confirmed this belief. There is a lot of work to be done, and the time is now.  This course is an exploration of our own socialisation and personal expressions of race, which will leave you feeling positive and hopeful about the future. Be bold, and join us on this journey into the ever growing multicultural melting pot. Enquire for more information about this thought provoking training day.  Learning objectives  Develop understanding of modern racism in the UK Strengthen knowledge of key terminology Understanding how to think like an “Ally” Explore strategies for dealing with racism when we encounter it Developing our confidence and ability to hold conversations with young people about race Who is it for? Leadership teams seeking guidance and reflection Multi Agency Teams Social workers CAMHS teams Year Managers Primary and secondary staff teams College staff Early Years and School based Practitioners Heads and Deputies SENCOs Advanced Skills Teachers Primary and secondary teachers Local Authority Support Services Voluntary Organisations People who want to “get it right” Content AM What makes a good welcome? Why don’t we talk about race? History of racism in the UK Definition of modern racism – how racism manifests in a post-racist world Unconscious bias The ‘racism binary’ – taking accountability for our words/actions Examining our privilege What does your race mean to you? PM Trust and difference exercises – how can we become more trustworthy? What is good Allyship? What to do and what not to do Strategies for dealing with racism incidents Restorative Justice How can we create dialogue with young people about race? Affinity groups What does the ideal workplace/school look like? What actions will we take away?