BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//ITPT - ECPv6.8.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:ITPT
X-ORIGINAL-URL:https://www.itpt.co.uk
X-WR-CALDESC:Events for ITPT
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/London
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20261025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20270328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20271031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20261128T140000
DTEND;TZID=Europe/London:20261128T170000
DTSTAMP:20261108T205115
CREATED:20251210T065312Z
LAST-MODIFIED:20261106T103157Z
UID:10515-1795874400-1795885200@www.itpt.co.uk
SUMMARY:Data Science with R
DESCRIPTION:Introduction: \nThis course provides a comprehensive introduction to the fundamentals of programming using R\, designed to build a strong foundation for learners with little or no prior programming experience. It explores the essential principles\, concepts and syntax of the R programming language\, gradually developing learners’ confidence and understanding through introductory practical applications. Learners will be introduced to writing\, executing and interpreting R code\, working with different data types and structures\, manipulating and organising datasets\, and performing fundamental data analysis tasks. By the end of the course\, learners will have developed an initial understanding of the R programming environment and acquired the foundational programming skills needed to explore data\, solve basic problems and progress towards more advanced applications of R. \nPrerequisite: \nNot required. \nQualifications Scotland (QS) Framework: \nThis course is fully aligned with the PDA (Professional Development Award) in Data Science (QS) at SCQF Level 7\, providing learners with a valuable opportunity to gain a recognised qualification while developing their knowledge and skills in the rapidly growing field of data science. The programme offers a substantial learning opportunity\, with learners eligible to achieve an impressive total of 32 SCQF credits upon successfully completing and passing all relevant examinations and assessment requirements. This achievement represents a significant step towards strengthening learners’ academic and professional credentials\, enhancing their understanding of data science\, and supporting progression into further study\, professional development and career opportunities within the data-driven economy. \n  \nCourse Objectives: \n\nIntroduction to R Programming and the RStudio Environment.\nUnderstanding R Syntax\, Variables and Data Types.\nWorking with Vectors\, Matrices\, Lists and Data Frames.\nImporting and Exporting Data using R.\nBasic Data Manipulation and Data Cleaning.\nIntroduction to Functions and Basic Programming Concepts.\nPerforming Basic Statistical Analysis using R.\nIntroduction to Data Visualisation using ggplot2.\nWorking with Excel and CSV Files in R.\nApplying R Programming to Practical Data Analysis Tasks.\nWriting\n\nHands-on Experience: \nThis course places a strong emphasis on practical\, hands-on learning\, enabling learners to develop foundational R programming skills through engaging exercises and real-world data applications. Using the R programming language\, RStudio and relevant datasets\, learners will gain practical experience in exploring\, importing\, organising\, cleaning\, transforming and analysing data. Through a series of guided activities and practical exercises\, learners will develop confidence in writing\, running and interpreting R code\, working with different data types and structures\, and applying basic programming techniques to solve introductory data-related problems. \nLearners will also gain experience in manipulating datasets using R\, working with data frames\, importing and exporting Excel and CSV files\, performing basic statistical operations\, and creating meaningful data visualisations using tools such as ggplot2. By the end of the course\, learners will have acquired essential introductory R programming skills and developed the confidence to work independently with datasets\, conduct basic data analysis\, identify patterns and trends\, and communicate their findings through clear\, informative visualisations and reports. \nWhy Should You Attend This Course? \n1. Explore the World of R Programming: If you are curious about programming\, data analysis and data science and want to discover how R can be used to explore\, manipulate and interpret data. \n2. Develop Your Foundational R Programming Skills: If you are new to R programming or have some initial experience and want to strengthen your understanding of its core concepts\, functions and practical applications. \n3. Pursue a Career in Data Science: If you aspire to work in data-related roles\, such as a Junior Data Analyst\, Data Technician or other entry-level data science positions where R programming and analytical skills are valuable. \n4. Enhance Your Data Analysis Capabilities: If you want to develop practical skills in data manipulation\, data visualisation\, statistical analysis and working with real-world datasets using R. \n5. Gain an Industry-Relevant Qualification: If you want to strengthen your academic and professional profile through a Professional Development Award (PDA) in Data Science (QS) at SCQF Level 7. \n6. Build Skills for a Data-Driven World: If you want to develop the essential programming and analytical skills needed to understand\, organise\, interpret and communicate data effectively in today’s increasingly data-driven workplace. \n7. Progress Towards Further Learning: If you want to establish a solid foundation in R programming and data science that can support progression towards more advanced programming\, statistical analysis and data science studies. \n8. Earn Valuable SCQF Credits: If you want to work towards achieving the 32 SCQF credits associated with the PDA Data Science (QS) qualification\, subject to successfully completing all relevant assessments and examinations. \nClasses Duration: \nThis is a 16-week introductory R Programming and Data Science course designed to develop essential programming and data analysis skills. \nLearning Modes: \nITPT is currently providing different method of learning opportunities to students. Many people are looking for learning diversity to enhance their qualifications\, but they don’t have the time to take on full-time instructor led study or attending courses regularly at their appropriate venues. \n\n\n\n\n\n     Modes of Course Delivery\n     Modes of Attendance\n\n\n    1. Face to Face – Tutor Led learning\n    1. Weekends\n\n\n    2. Virtual – Tutor Led learning\n    2. Weekdays\n\n\n    3. Blended learning\n    3. Part time\n\n\n    4. eLearning\n    4. Day Release\n\n\n\n\nOur Courses & Training Classes Suit the Following \nTarget Audience: \nThis course covers the foundational knowledge and practical skills associated with R programming and the SQA PDA Data Science (QS) qualification at SCQF Level 7. It is suitable for learners seeking to develop introductory programming\, data analysis and data visualisation skills\, whether to improve their employment prospects\, prepare for further study or support career advancement. \nOur R Programming and Data Science training classes are suitable for a wide range of candidates\, including: \n\nSchool leavers interested in pursuing a career in IT and data science.\nAdult returnees to education looking to develop new digital and programming skills.\nIndividuals wishing to progress to college or further education.\nEmployed individuals seeking to enhance their technical skills and career prospects.\nIndividuals interested in starting a career in data analysis or data science.\nEmployees looking to improve their data handling and analytical capabilities.\nIndividuals wishing to develop their R programming and data visualisation skills.\nLearners intending to progress from the PDA qualification to further study at HN level.\nIndividuals seeking flexible\, part-time or day-release learning opportunities.\n\nContact Us: \nFor more information please do contact us:\nEdinburgh Phone: 0131 552 5558\nEmail: info@itpt.co.uk\nContact us via website: https://www.itpt.co.uk/contact-us/ \nTo Book an Appointment with Course Advisors: \nTo Book course registration or for further information about the course or its funding\, please follow the below link;\nhttps://tinyurl.com/ITPT-Appointment
URL:https://www.itpt.co.uk/event/data-science-with-r/
LOCATION:21 Calder Road\, Edinburgh EH11 3PF
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20261130
DTEND;VALUE=DATE:20261201
DTSTAMP:20261108T205115
CREATED:20250915T065630Z
LAST-MODIFIED:20261015T095530Z
UID:10405-1795996800-1796083199@www.itpt.co.uk
SUMMARY:UPCOMING HNC’s & HND’s QUALIFICATIONS – e-learnings (online distance learning only)
DESCRIPTION:UPCOMING HNC’s & HND’s QUALIFICATIONS – e-learnings (online distance learning only)  \n(Please provide the course title so we can respond to your inquiry with precision)  \n\n\n\nHNC Computing\nhttps://www.itpt.co.uk/courses/sqa-hnccomputing/\n\n\nHNC Admin & IT\nhttps://www.itpt.co.uk/courses/hnc-administration-information-technology/\n\n\nHNC Cyber Security\nhttps://www.itpt.co.uk/courses/hnc-cyber-security/\n\n\nHNC Digital Design & Web Development\nhttps://www.itpt.co.uk/courses/hnc-digital-design-web-development/\n\n\nHND Computing: Computer Science\nhttps://www.itpt.co.uk/courses/hnd-computing-computer-science/\n\n\nHND Computing: Software Development\nhttps://www.itpt.co.uk/courses/hnd-computing-software-development/\n\n\nHND Computing: Technical Support\nhttps://www.itpt.co.uk/courses/hnd-computing-technical-support-with-cyber-security/\n\n\nHND Computing: Networking\nhttps://www.itpt.co.uk/courses/hnd-computing-networking/\n\n\nHND Cyber Security\nhttps://www.itpt.co.uk/courses/hnd-cyber-security/\n\n\nHND Web Development\nhttps://www.itpt.co.uk/courses/hnd-web-development/\n\n\n\n\n 
URL:https://www.itpt.co.uk/event/hnc-hnd-elearnings/
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20270126
DTEND;VALUE=DATE:20270127
DTSTAMP:20261108T205115
CREATED:20240906T061505Z
LAST-MODIFIED:20260903T104225Z
UID:9355-1800921600-1801007999@www.itpt.co.uk
SUMMARY:HNC Cyber Security - Fulltime Course
DESCRIPTION:Awarding Body: Qualifications Scotland (formerly Scottish Qualification Authority) \nCourse Title: HNC Cyber Security\nGroup Award Code: GP10 15\nModes of Study: Full time Learning\nProgression to: HND Cyber Security \nCourse Introduction: \nEverybody is fascinated with the information technology (IT) and its persistent prospects. When encountered with a new challenge\, individuals probe a solution in an analytical way. A career in computing cyber security can bring all of your strengths together to tackle any vague and unresolved computer related issues which an individual can ever imagine. Our HNC in cyber security course comprehensively covers all cyber vulnerability aspects. We teach exactly what you prefer in a fast-paced\, innovative industry that values radical professionals. \nStudents will study a selection of appropriate units designed to develop student’s skills and competencies to enable further study in a Degree Programme. \nTopics may include: \n\nDigital Forensics at Progressive level\nServer Administration for Cyber Security\nWorking in Cyber Security\nWireless Device Security\nComputer Operating Systems\nComputer Programming Advanced Level\nConfiguring/Troubleshooting Firewall Essentials\nConfiguring/Securing Networks\n\nEntry Requirements: \nMinimum Entry Requirements is likely to include at least one of the following: \n\nNational Certificate in Computing at SCQF level 5 or level 6 or a combination of both\nAny one relevant Higher (SCQF level 6) together with Maths and Computing or a Science\nRelevant National Progression Awards such as NPA in Cyber Security at SCQF level 5 or 6\nApplicants with relevant experience but without formal qualifications may be accepted via interview. IT Professional Training recognises that many students come to the institutes with a wide range of expertise\, skills and knowledge that has never been officially assessed. This may have been gained through a variety of personal situations\nRelevant industry experience and/or other qualifications will be considered on an individual basis will also be considered\nVendor qualifications (certificates) will also be accepted such as from Cisco\, CompTIA\, EC Council etc.\n\nVendors Specific Progression: \nThis Higher National Qualification integrates learning materials from industry standard vendors such as Cisco and CompTIA which can help students to prepare for a variety of vendor certification exams. \n\nCCISO (Certified Information Security Officer) – EC Council\nCertified Data Collection Technician (CDaCT) – Foundation\nCisco Cybersecurity Essentials\nCompTIA Pen Test +\nCCNA (200-301)\nISC2 CC\nMicrosoft Artificial Intelligence Fundamental\nEC Council Digital Forensics Essentials\nEC Council Ethical Hacking Essentials\n\nPlease visit our website for more information on the course content and prerequisites to join the course:\nhttps://www.itpt.co.uk/courses/hnd-cyber-security/ \nFunding information: \nFor Full Time Courses: \nhttps://www.saas.gov.uk/full-time \nEligible students can apply for tuition fee assistance\, bursaries\, and student loans \nSelf- funded: \nThis Course can be self-funded\, for fee please contact us at info@itpt.co.uk \nContact us: \nTo contact us via our website\, please follow the below link; \nhttps://www.itpt.co.uk/contact-us/ \nIf you require further information please contact us at: \nEmail Address for General Enquiries: info@itpt.co.uk\nFor HNC/HND Admission Enquiries: admissions@itpt.co.uk\nTelephone Numbers: 0131 552 5558\n \nFor more information \nWhatsApp: 07910074185 (For Edinburgh Centre only)\nSMS Text Messages: 07910074185 (For Edinburgh Centre only)\nFacebook Address: https://www.facebook.com/ITProfessionalTrainingEdinburgh/
URL:https://www.itpt.co.uk/event/hnc-cyber-security-fulltime-course/
LOCATION:21 Calder Road\, Edinburgh\, E11 3PF
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20270126
DTEND;VALUE=DATE:20270127
DTSTAMP:20261108T205115
CREATED:20240906T061758Z
LAST-MODIFIED:20260903T104303Z
UID:9358-1800921600-1801007999@www.itpt.co.uk
SUMMARY:HND Cyber Security - Full Time Course
DESCRIPTION:Awarding Body: Qualifications Scotland (formerly Scottish Qualification Authority) \nCourse Title: HND Cyber Security \nGroup Award Code: GP83 16 \nModes of Study: Fulltime Learning \nProgression to: University Undergraduate Degree \nCourse Introduction: \nMany people find information technology (IT) fascinating because it offers lots of possibilities. When people face a new problem\, they naturally look for smart solutions. If you choose a job in cybersecurity (protecting computers and data)\, you can use your skills to solve tricky computer problems. The ITPT HND programs in cybersecurity cover everything about computer vulnerabilities. We teach exactly what you want to know in a fast-changing\, creative industry that values smart and forward-thinking professionals. \nStudents will study a selection of appropriate units designed to develop student’s skills and competencies to enable further study in a Degree Programme. \nTopics may include: \n\nDigital Forensics at Progressive level\nServer Administration for Cyber Security\nWorking in Cyber Security\nWireless Device Security\nComputer Operating Systems\nComputer Programming Advanced Level\nConfiguring/Troubleshooting Firewall Essentials\nDatabase Design and Programming (SQL)\nFundamental to Advanced Routing & Switching\nScripting to Security\n\nEntry Requirements: \nMinimum Entry Requirements is likely to include at least one of the following: \n\nHNC Cyber Security\n\nVendors Specific Progression: \nThis Higher National Qualification integrates learning materials from industry standard vendors such as Cisco and CompTIA which can help students to prepare for a variety of vendor certification exams. \n\nCompTIA Pen Test +\nCCNA (200-301)\nOracle Database Fundamental\nCompTIA Security+: A certification that validates baseline skills in IT security and risk management.\nCisco Certified CyberOps Associate\nCertified Ethical Hacker (CEH)\nPen Test +\n\nPlease visit our website for more information on the course content and prerequisites to join the course:\nhttps://www.itpt.co.uk/courses/hnd-cyber-security/ \nFunding information: \nFor Full Time Courses: \nhttps://www.saas.gov.uk/full-time \nEligible students can apply for tuition fee assistance\, bursaries\, and student loans. \nSelf- funded: \nThis Course can be self-funded\, for fee please contact us at info@itpt.co.uk \nContact us: \nTo contact us via our website\, please follow the below link; \nhttps://www.itpt.co.uk/contact-us/ \nIf you require further information please contact us at: \nEmail Address for General Enquiries: info@itpt.co.uk\nFor HNC/HND Admission Enquiries: admissions@itpt.co.uk\nTelephone Numbers: 0131 552 5558|0131 552 5800\nWebsite Address:  https://www.itpt.co.uk/ \nFor more information \nWhatsApp: 07910074185 (For Edinburgh Centre only)\nSMS Text Messages: 07910074185 (For Edinburgh Centre only)\nFacebook Address: https://www.facebook.com/ITProfessionalTrainingEdinburgh/
URL:https://www.itpt.co.uk/event/hnd-cyber-security-full-time-course/
LOCATION:21 Calder Road\, Edinburgh\, E11 3PF
END:VEVENT
END:VCALENDAR