1097 Engineer courses in Reigate delivered Live Online

The Level 1 Certificate in Motor Vehicle Studies is designed to encourage and enable learners who have an interest in this area of study to acquire knowledge and skills to aid progression to further study or employment.

Maya face to face training customised and bespoke.

Face to Face training customised and bespoke. One to One Online or Face to Face

Diploma in Python Programming Course Overview The Diploma in Python Programming offers an in-depth exploration of Python, one of the most versatile and in-demand programming languages. This course is designed to provide learners with a strong foundation in Python, covering essential concepts such as data structures, functions, libraries, and file handling. Learners will gain the skills necessary to write Python code to solve real-world problems, enabling them to create applications, automate tasks, and perform data analysis. By the end of the course, learners will have the practical knowledge to use Python effectively for various programming tasks in both professional and personal settings. Course Description This comprehensive course begins with the basics of Python programming, guiding learners through essential concepts such as syntax, data types, and conditional statements. Learners will progress to more advanced topics, including file handling, data storage structures, and error handling. Key modules like the creation of user functions, working with external libraries, and implementing Python in database management provide valuable skills that can be directly applied in the workplace. This course also covers essential tools such as command prompt usage, Jupyter notebooks, and package management in Python. By the end of the course, learners will have developed the confidence and competence to apply Python across various domains, including software development, data analysis, and system automation. Diploma in Python Programming Curriculum Module 01: Introduction to Python Programming Module 02: Getting Started with Python Module 03: Conditional Branching with Python Module 04: Importing External/Internal Library in Python Module 05: Project Rock Paper and Scissors Module 06: Strings Operation in Python Module 07: Date and Time in Python Module 08: File Handling, Read and Write Using Python Module 09: Data Storage Structures: Tuple, List, and Dictionary Module 10: Writing User Functions in Python Module 11: Sending Mail Module 12: Import Tricks in Python Module 13: Import Operating System and Platform Module 14: Exceptions Handling in Python Module 15: Installing Packages and Scheduling in Python Module 16: Database in Python Using SQLite Module 17: Running Programs from Command Prompt and Jupyter Notebook Module 18: Conclusion (See full curriculum) Who is this course for? Individuals seeking to develop a foundational understanding of Python programming. Professionals aiming to enhance their programming skills for career advancement. Beginners with an interest in software development, data analysis, or automation. Anyone looking to pursue a career in programming or technology. Career Path Software Developer Data Analyst Automation Engineer Python Programmer Database Administrator IT Specialist

face to face training customised and bespoke. Online or Face to Face

Learn how to establish deliberate and creative interactions that allow users to navigate a platform in the ways that makes sense to them.

Create a well-structured pathway to optimized content by understanding how information architecture applies to user experience design.

Course Overview This comprehensive course offers a deep dive into three essential technologies for data science: Python, JavaScript, and Microsoft SQL. Learners will gain foundational knowledge and practical skills in each of these key areas, which are crucial for handling data, creating interactive websites, and working with databases. By the end of the course, students will be proficient in writing Python code for data analysis, creating dynamic web content with JavaScript, and managing data with Microsoft SQL. The course is designed to equip learners with the technical skills needed to succeed in data science, making it a valuable investment for anyone looking to excel in this growing field. Course Description In this course, learners will explore the core principles of Python, JavaScript, and Microsoft SQL, all tailored to the needs of data science professionals. The curriculum covers Python’s data structures, functions, and libraries essential for data analysis, while JavaScript introduces students to web development skills, including client-side validation and data visualisation. The Microsoft SQL section focuses on data management, including filtering, joining, and structuring queries. Learners will develop a solid understanding of these technologies, which will enable them to manipulate data, automate processes, and design interactive applications. The course also includes real-world applications, ensuring learners are well-prepared for future opportunities in data science and web development. Course Modules: Module 01: JavaScript Getting Started Module 02: JavaScript Fundamentals Module 03: JavaScript Strings Module 04: JavaScript Operators Module 05: JavaScript Conditional Statements Module 06: JavaScript Control Flow Statements Module 07: JavaScript Functions Module 08: Data Visualization (Google Charts) Module 09: JavaScript Error Handling Module 10: JavaScript Client-Side Validations Module 11: Python Introduction Module 12: Python Basic Module 13: Python Strings Module 14: Python Operators Module 15: Python Data Structures Module 16: Python Conditional Statements Module 17: Python Control Flow Statements Module 18: Python Core Games Module 19: Python Functions Module 20: Python Args, KW Args for Data Science Module 21: Python Project Module 22: Publish Your Website for Live Module 23: MS SQL Statements Module 24: MS SQL Filtering Data Module 25: MS SQL Functions Module 26: MS SQL Joins Module 27: MS SQL Advanced Commands Module 28: MS SQL Structure and Keys Module 29: MS SQL Queries Module 30: MS SQL Structure Queries Module 31: MS SQL Constraints Module 32: MS SQL Backup and Restore (See full curriculum) Who is this course for? Individuals seeking to enhance their skills in data science. Professionals aiming to expand their knowledge in programming and database management. Beginners with an interest in Python, JavaScript, and SQL. Anyone looking to enter the field of data science or web development. Career Path Data Scientist Web Developer Database Administrator Data Analyst Front-End Developer Full Stack Developer Data Engineer

Arm yourself with a robust research toolkit that will help you uncover deep behavioural insights on user needs and motivations so you can design better experiences.

Peering at LINX training course description A one or two day induction course covering the technical procedures of LINX along with correct interaction with LINX and LINX members. This course focuses on the implementation of the technologies within the LINX network. For those already competent in BGP the one day version of this course is sufficient. What will you learn Explain the role of LINX in the Internet. Correctly connect to LINX. Recognise the correct procedures for peering at LINX. Use the current Best Current Practices. Peering at LINX training course details Who will benefit: Technical staff of new LINX members. Technical staff of companies preparing to join LINX. Non technical staff may also benefit from this course. Prerequisites: None. (For technical staff with BGP knowledge 1 day) Duration 1 to 2 days Peering at LINX training course contents Introduction and review Networks, The Internet, IP, routers, Autonomous systems, the structure of the Internet, the role of Internet Exchanges. BGP and peering. LINX, EuroIX, RIPE. What you get when you join LINX. LINX products: Connexions, Virtual PoPs, Colocation resales, LINX from anywhere. LINX infrastructure The original architecture, The growth of LINX, the current topology. LINX London locations. Dual LAN topology. LON1, LON2. Use of MPLS to connect London sites. Regional peering: LINX NoVa, LINX Manchester, LINX Wales, LINX Scotland, ManxIX, JEDIX. Connecting with LINX nnecting with LINX Locations. 1/10/100/400G. Interface specifications. Link aggregation. The racks and space provided, access to the racks, connecting WAN circuits into LINX. The connection form, How to link your ISP with LINX, switch assignments, limits on traffic, average measured traffic, getting statistics from LINX, Using looking glass. Allowed traffic. Port security Configuration hints LINX IP details, IPv4, IPv6, PTR records, Cisco base configuration, Juniper base configuration. Peering with other LINX members Preparing for peering, the peering template, setting up the peering, RFC 2142, the RIPE database, contacts, peeringdb.net, solving downed BGP sessions, escalation procedures. Peering configuration hints Cisco BGP configuration, Juniper BGP configuration. LINX additional services Private interconnect, LINX time service. NTP, Strata. The LINX route server Bi lateral peering, Multi lateral peering. How the LINX route server is configured. Use of communities on the route server, template for peering with the route server. Summary Getting further information, the LINX website, the LINX mailing lists.