Selling Skills for Professionals: Part 1 Prospecting Course Description Copyright Ross Maynard 2021 Course Description Welcome to Selling Skills for Professionals: Part 1 Prospecting. If you are an accountant, a lawyer, a consulting engineer, a surveyor, an actuary, a management consultant, an events organiser, an HR professional or any other form of professional businessperson, and you need to identify and develop new clients, then this course is for you This is part 1 of a two-part course on selling skills for professionals. In Part 1 I cover prospecting, that is identifying potential future clients and making the initial approach. In Part 2 of Selling Skills for Professionals I cover the sales process once you have a make contact with a potential client. Selling Skills for Professionals covers high involvement purchases where the commitment is a significant one for the purchaser. This covers relatively expensive business investments, but also purchase agreements which the purchaser feels will have a significant impact on their business – for example engaging an accountant or a lawyer, or a management consultant, and so on. With a high involvement purchase, the client typically will consider a range of alternatives; will review a variety of information sources; and will evaluate product and service attributes in detail. This means that there is a relatively high barrier to surmount to get the potential client’s attention. A solid approach to prospecting and a well-structured sales process can increase that conversion rate and enhance your success in securing clients who will remain with you for the long term. That is the purpose of this course. I hope you enjoy the course. Key Learning Points On completion of the course, delegates will be able to: Describe the scope and purpose of sales prospecting for professional services Understand the five rules of selling professional services Develop a branding statement for themselves and their organisation Define the criteria for the clients they wish to target Appreciate the importance of client pain points and how to identify them Prepare materials for prospecting Create a cold calling script for prospecting Write a cold email or LinkedIn message to prospects including a strong subject line Understand the sorts of questions they can use to stimulate client engagement in a discussion Move prospects onto the next stage of the selling process Curriculum Module 1: First Principles in Selling Professional Services Lesson 1: The Five Rules of Selling Professional Services Lesson 2: The Five Rules of Selling Professional Services Lesson 3: Branding Module 2: Getting Ready to Prospect Lesson 4: Identifying Prospects Lesson 5: Client Pain Points and the Purpose of Prospecting Lesson 6: Preparing to Prospect Module 3: Making the Approach Lesson 7: Seven Seconds to make an Impact Lesson 8: Crafting the Message: Cold Calling Lesson 9: Crafting the Message: Cold Email Lesson 10: Sample Scripts for Cold Email Lesson 11: Trigger Questions Lesson 12: Getting Ready to Sell: The Next Stage Lesson 13: Key Learning Points in Prospecting Pre-Course Requirements There are no pre-course requirements Additional Resources None Course Tutor Your tutor is Ross Maynard. Ross is a Fellow of the Chartered Institute of Management Accountants in the UK and has 30 years’ experience as a process improvement consultant specialising in business processes and organisation development. Ross is also a professional author of online training courses. Ross lives in Scotland with his wife, daughter and Cocker Spaniel
Video conferencing over IP course description A current hot topic in recent years has been the provision of multimedia services over IP networks - triple play. This course investigates the characteristics of video transmission and then studies the impact on IP networks. What will you learn Describe the issues of video and data convergence. Describe techniques, which can be used in IP to provide low uniform delay. Evaluate video technologies. Design data networks, which will support video.. Video conferencing over IP course details Who will benefit: Technical staff. Prerequisites: TCP/IP fundamentals Intro to data communications & networking Duration 3 days Video conferencing over IP course contents Review Traditional video, digital video, video formats, MPEG, brief review of IP, Uses of video: downloading, streaming, TV, CCTV, conferencing. Video over IP issues Delivery methods: FTTH, ADSL, VDSL, 3G and others. Bandwidth, delay, jitter, signalling. Digitising video, CODECS, packetising video, comparison of techniques. IP performance and QOS IP TOS field, queuing strategies; FIFO, WFQ, custom, priority, RED. Differentiated services, diffserv. Video over IP protocol stack RTP, RTCP, mixers and translators, RSVP. IPv6. Conferencing Traditional solutions, Video conferencing over IP, point to point, multipoint, architectures, bridges. IETF - Session Initiation Protocol Comparison with H.323, SIP proxy, proxy server, redirect server. SDP. Multicasting Multicasting compared to unicasting and broadcasting, when to use and when not to use multicasting. IGMP, DVMRP, PIM. Security Impact of firewalls and NAT, ISMA, DRM, DTCP.
This course is an excellent resource to learn network programming using Python. With the help of practical examples, you will learn how to automate networks with Telnet, Secure Shell (SSH), Paramiko, Netmiko, and Network Automation and Programmability Abstraction Layer with Multivendor support (NAPALM).
Power Analysis in AC Circuits Course Overview This course on Power Analysis in AC Circuits provides a comprehensive exploration of the principles and calculations essential for understanding power in alternating current systems. Learners will gain a solid grasp of real, reactive, and complex power, along with power factor correction and the analysis of power in three-phase circuits. The course emphasises the theoretical foundations and mathematical techniques necessary for accurate power analysis. By completing this course, students will be equipped to evaluate and optimise AC power systems effectively, enhancing their technical competence for roles in electrical engineering, energy management, and related fields. Course Description This course delves deeply into the concepts and calculations related to power in AC circuits, starting from fundamental definitions to advanced power factor correction and three-phase power analysis. Topics include power and energy definitions, the behaviour of power in reactive circuits, power trigonometrical identities, and the interpretation of complex power. Learners will develop skills in analysing real and reactive power components and understanding their impact on circuit efficiency. Additionally, the course covers methods to improve power factor and explores power dynamics in three-phase systems. Throughout, emphasis is placed on theoretical understanding and analytical methods to equip learners with the expertise to assess and manage AC power circuits in professional settings. Power Analysis in AC Circuits Curriculum Module 01: Introduction Module 02: Power & Energy Defined Module 03: Power in Reactive Circuits Part A Module 04: Power in Reactive Circuits Part B Module 05: Power Trig Identities Module 06: Power, Real and Reactive Module 07: Power More on Average, Real & Reactive Module 08: Power – Complex Power Module 09: Power Factor Correction Module 10: Power in 3 Phase Circuits (See full curriculum) Who is this course for? Individuals seeking to understand and analyse power in AC electrical systems. Professionals aiming to enhance their knowledge of power factor correction and circuit efficiency. Beginners with an interest in electrical engineering and power systems. Technicians and engineers involved in energy management and electrical maintenance. Career Path Electrical Engineer Power Systems Analyst Energy Manager Electrical Design Engineer Electrical Maintenance Technician Renewable Energy Specialist
Overview With the ever-increasing demand for Gas Engineering 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 Gas Engineering may be. Learning about Gas Engineering 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 Gas Engineering. 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 Gas Engineering 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 Diploma in Gas Engineering 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 Diploma in Gas Engineering 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 Diploma in Gas Engineering 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 Gas Engineering, Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Gas Engineering, Anyone looking for a certificate of completion on doing an online training on this topic, Students of Gas Engineering, or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity Career Path This Diploma in Gas Engineering 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 1- Introduction to Gas Engineering Introduction to Gas Engineering 00:00 Module 2- Natural Gas Basics and Combustion Natural Gas Basics and Combustion 00:00 Module 3- Transmission System_Pipes and Flues Transmission System_Pipes and Flues 00:00 Module 4- Ventilation Ventilation 00:00 Module 5- Tightness Testing and Gas Leak Tightness Testing and Gas Leak 00:00 Module 6- Gas Rate, Flow Meter and Pressure Control Gas Rate, Flow Meter and Pressure Control 00:00 Module 7- Gas Safety Devices and Controls Gas Safety Devices and Controls 00:00 Module 8- Gas Warning Labelling Gas Warning Labelling 00:00 Module 9- Chimney Standards and Inspection Chimney Standards and Inspection 00:00 Module 10- Gas Appliances Maintenance and Safety Gas Appliances Maintenance and Safety 00:00
Welcome to 'Python Programming for Non Programmers Level 5,' a course specially designed for those new to the world of coding. This program starts with a comprehensive introduction to Python, a versatile programming language favored in numerous fields. Progressing to the second unit, participants will familiarize themselves with the initial steps of Python programming, setting a strong foundation for future learning. The course then advances to conditional branching in Python, an essential skill for logical problem-solving in coding. A highlight of this course is the practical project: building the game 'Rock Paper Scissors'. This engaging task not only consolidates learning but also adds a fun element to the process. The curriculum further includes critical topics like string operations, date and time functionalities, and the nuances of file handling in Python. Learners will navigate through the complexities of Python data structures-tuples, lists, and dictionaries-and learn to craft user functions, enhancing their coding capabilities. The course also covers email automation, ingenious import tactics, interfacing with operating systems, and handling exceptions with finesse. Furthermore, learners will get hands-on experience with package installation, scheduling tasks in Python, and managing databases using SQLite. The course wraps up with insights on running Python programs via command prompt and Jupyter Notebook, ensuring learners are well-equipped for real-world applications. Learning Outcomes Acquire foundational knowledge and setup skills in Python programming. Master conditional branching for effective problem-solving in code. Complete a practical coding project to solidify Python skills. Learn essential Python operations, including string handling and file management. Explore and apply advanced Python concepts for real-world applications. Why choose this Python Programming for Non Programmers Level 5 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Python Programming for Non Programmers Level 5 course for? Beginners eager to learn Python from scratch. Non-technical professionals desiring to add coding skills to their portfolio. Educators keen to integrate Python into their teaching methodologies. Businesspersons interested in understanding coding fundamentals for tech-based solutions. Enthusiasts exploring programming as a new hobby or career path. Career path Entry-Level Python Programmer: £25,000 - £40,000 Python-Enabled Data Analyst: £28,000 - £45,000 Python Automation Engineer: £30,000 - £50,000 Technical Support Analyst with Python Skills: £22,000 - £35,000 Python Web Developer: £26,000 - £42,000 Quality Assurance Analyst with Python Expertise: £24,000 - £38,000 Prerequisites This Python Programming for Non Programmers Level 5 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python Programming for Non Programmers Level 5 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Unit 01: Introduction to Python Programming Section 01: Course Introduction 00:02:00 Unit 02: Getting Started with Python Section 01: Software Installation 00:02:00 Section 02: Hello World Program 00:06:00 Section 03: Input and Output 00:07:00 Section 04: Calculating Average of 5 Numbers 00:03:00 Unit 03: Conditional Branching with Python Section 01: If Loop In Python 00:06:00 Section 02: Program Using If Else part 1 00:03:00 Section 03: Program Using If Else part 2 00:08:00 Section 04: Program for Calculator 00:02:00 Section 05: Program Using For Loop 00:08:00 Section 06: For Table 00:05:00 Section 07: For loop and Mathematical Operator in Python 00:04:00 Section 08: Factorial of Number Using Python 00:06:00 Section 09: Program Using While 00:05:00 Section 10: While Loop Example 00:07:00 Section 11: Tasks for Practice 00:02:00 Unit 04: Importing external/internal library in python Section 01: Importing Library in Python 00:07:00 Unit 05: Project Rock Paper and Scissors Section 01: Rock Paper and Scissor Game 00:06:00 Unit 06: Strings Operation in Python Section 01: Program Using String part 1 00:05:00 Section 02: Program using String 2 00:06:00 Section 03: Program Using String 3 00:06:00 Section 04: Program Using String part 4 00:03:00 Unit 07: Date and time in Python Section 01: Use of Date and Time part 1 00:05:00 Section 02: Use of Date and Time part 2 00:05:00 Unit 08: File Handling, read and write using Python Section 01: File Handling Part 1 00:08:00 Section 02: File Handling Part 2 00:07:00 Unit 09: Data Storage Structures, Tuple, List and Dictionary Section 01: Tuple in Python Part 1 00:10:00 Section 02: Tuple in Python Part 2 00:07:00 Section 03: Using Lists part 1 00:07:00 Section 04: Using List part 2 00:12:00 Section 05: Using Lists part 3 00:06:00 Section 06: Using Lists part 4 00:08:00 Section 07: Using Lists part 5 00:02:00 Section 08: Use of Dictionary Part 1 00:04:00 Section 09: Use of Dictionary Part 2 00:05:00 Section 10: Use of Dictionary Part 3 00:08:00 Section 11: Use of Dictionary Part 4 00:07:00 Unit 10: Writing user functions in Python Section 01: Function in Python Part 1 00:06:00 Section 02: Function in Python Part 2 00:05:00 Section 03: Function in Python Part 3 00:04:00 Section 04: Function in Python Part 4 00:07:00 Section 05: Function in Python Part 5 00:08:00 Unit 11: Sending mail Section 01: Send Email 00:09:00 Unit 12: Import Tricks in Python Section 01: Import Study part 1 00:07:00 Section 02: Import Study part 2 00:03:00 Unit 13: Import Operating System and Platform Section 01: Importing OS 00:06:00 Section 02: Import Platform 00:05:00 Unit 14: Exceptions handling in python Section 01: Exception in Python part 1 00:11:00 Section 02: Exception in Python part 2 00:07:00 Section 03: Exception in Python part 3 00:05:00 Unit 15: Installing Packages and Scheduling In Python Section 01: Installing Packages using built in package manager 00:08:00 Section 02: Scheduler in Python 00:05:00 Unit 16: Data Base In Python using sqlite Section 01: Data Base 1 00:08:00 Section 02: Data Base 2 00:09:00 Section 03: Data Base 3 00:08:00 Section 04: Data base 4 00:07:00 Section 05: Data Base 5 00:06:00 Unit 17: Running Program from Command Prompt and jupyter Notebook Section 01: IDE_1 00:05:00 Section 02: IDE_2 00:07:00 Unit 18: Conclusion Section 01: Conclusion 00:02:00 Resources Resources - Diploma in Python Programming 00:00:00 Assignment Assignment - Diploma in Python Programming 00:00:00 Recommended Materials Workbook - Diploma in Python Programming 00:00:00
Short Circuit Analysis for HV Three Phase Systems Course Overview This course on Short Circuit Analysis for HV Three Phase Systems provides an in-depth exploration of fault analysis in high voltage electrical systems. Focusing on the theoretical and practical application of various analysis methods, the course equips learners with the skills to assess and model electrical faults in three-phase systems. By covering core topics such as symmetrical and asymmetrical faults, per unit analysis, and transformer modelling, this course ensures that participants are prepared for real-world fault diagnosis and system modelling challenges. Learners will gain a thorough understanding of fault behaviour and how to perform accurate short circuit analysis, which is essential for enhancing system stability and safety. Course Description The course delves into the key aspects of short circuit and fault analysis for high voltage (HV) three-phase systems. Participants will explore various analysis techniques, including per-phase and per-unit analysis, along with the importance of base changes and transformer modelling. The course introduces symmetrical components and covers advanced topics such as asymmetrical three-phase fault analysis and system modelling. Learners will develop a clear understanding of how to assess the impact of short circuits on the electrical network and identify the appropriate mitigation strategies. The course is designed to provide learners with both the theoretical foundation and technical knowledge to perform detailed fault analysis and optimise system performance. Short Circuit Analysis for HV Three Phase Systems Curriculum Module 01: Introduction to Short Circuit Analysis for HV Three Phase Systems Module 02: Short Circuit & Fault Analysis Overview Module 03: Per Phase Analysis Module 04: Per Unit Analysis Module 05: Change of Base Module 06: Transformers & Per Unit Analysis Module 07: Symmetrical Components Module 08: Asymmetrical Three Phase Fault Analysis Module 09: System Modeling (See full curriculum) Who is this course for? Individuals seeking to understand short circuit analysis in electrical systems. Professionals aiming to enhance their knowledge in HV power system analysis. Beginners with an interest in electrical engineering and fault analysis. Engineers looking to advance their skills in power system design and fault management. Career Path Electrical Engineer Power System Analyst HV Systems Designer Electrical Maintenance Engineer Power Network Consultant Utility System Planner
Develop Big Data Pipelines with R, Sparklyr & Power BI Course Overview: This course offers a comprehensive exploration of building and managing big data pipelines using R, Sparklyr, and Power BI. Learners will gain valuable insight into the entire process, from setting up and installing the necessary tools to creating effective ETL pipelines, implementing machine learning techniques, and visualising data with Power BI. The course is designed to provide a strong foundation in data engineering, enabling learners to handle large datasets, optimise data workflows, and communicate insights clearly using visual tools. By the end of this course, learners will have the expertise to work with big data, manage ETL pipelines, and use Sparklyr and Power BI to drive data-driven decisions in various professional settings. Course Description: This course delves into the core concepts and techniques for managing big data using R, Sparklyr, and Power BI. It covers a range of topics including the setup and installation of necessary tools, building ETL pipelines with Sparklyr, applying machine learning models to big data, and using Power BI for creating powerful visualisations. Learners will explore how to extract, transform, and load large datasets, and will develop a strong understanding of big data architecture. They will also gain proficiency in visualising complex data and presenting findings effectively. The course is structured to enhance learners' problem-solving abilities and their competence in big data environments, equipping them with the skills needed to manage and interpret vast amounts of information. Develop Big Data Pipelines with R, Sparklyr & Power BI Curriculum: Module 01: Introduction Module 02: Setup and Installations Module 03: Building the Big Data ETL Pipeline with Sparklyr Module 04: Big Data Machine Learning with Sparklyr Module 05: Data Visualisation with Power BI (See full curriculum) Who is this course for? Individuals seeking to understand big data pipelines. Professionals aiming to expand their data engineering skills. Beginners with an interest in data analytics and big data tools. Anyone looking to enhance their ability to analyse and visualise data. Career Path: Data Engineer Data Analyst Data Scientist Business Intelligence Analyst Machine Learning Engineer Big Data Consultant
Advanced RF training course description This course provides a follow on to our popular RF fundamentals course for those that need to know more. What will you learn Explain RF propagation Describe the importance of transmission lines in RF systems. Recognise the issues in RF systems. Describe transmission measurements. Advanced RF training course details Who will benefit: Those working with RF systems. Prerequisites: RF fundamentals. Duration 3 days Advanced RF training course contents RF propagation The Electromagnetic Spectrum, Electromagnetic Radiation, Spherical Wave Front, The Space Wave, Receive Antenna below the Horizon, Bending the Space Wave , Surface Wave Path, Tilting of Surface Wave, Conductivity, Layers of the Atmosphere, Variations of the Ionosphere, Variations caused by Solar Activity, Multi Hop Transmission, Classification of Radio Waves, Fading, Fading Reduction, Free Space Path Loss, Shadowing of Radio Wave, Signal Levels after Shadowing, Radio Waves as Wavelets, Fresnel Zone. Transmission Lines Transmission Line Construction, Primary Line Constants, 'T' Networks, Input Impedence, Lossless Unbalanced Line, Standing Waves, Open Circuit / Short Circuit Termination, Short Circuit Standing Waves, Open Circuit Standing Waves, Voltage Standing Wave Pattern, Short Circuit Termination, Open Circuit Termination, The Directional Coupler, Effect of E and M Coupling, Practical Reflectometer. Antenna Theory The Open Circuit Line, Dipole V/I Distribution, Polar Diagram, Power Pattern ½ Wave Dipole, Half Wave Dipole, Vehicle Mount, Centre Fed Whip Antenna, Antenna Beamwidth, The Yagi Array, Uda Yagi array, Antenna Characteristics, 6 Element Yagi Polar Diagram, Log Periodic Antenna, Helical Antenna. Microwave Dish Array, Typical Microwave Dish Antenna. Transmission Measurements Transmission Measurements, Effective Isotropic Radiated Power, Fade Margin. Noise Noise in Communications, Noise Voltage Equivalent Circuit. Satellite Communications Satellite Communications, Large Earth Station, The Satellite Payload, Geo Stationary Orbit, Basic Orbits, VSAT Terminal, Iridium Phone, The Space Segment, Satellite Footprint, Typical System Hardware. Mobile Communications Mobile Evolution, The Path to UMTS, Technologies Bit Rate and Mobility, Systems and Specifications, Wireless Networks, Diffraction, Multi Path Propagation, Loss Models, GSM Architecture, OSI Model - GSM, OSI Reference Model, OSI Layers.
Satellite communications training course description This course starts by recaping some of the essential satellite knowledge required and proceeds to explore the deeper aspects of satellite communications, including hardware, communications and error control coding. What will you learn Explain how satellite communications work. Explain how RF works Explain the architecture of satellite systems. Use spectrum analysers. Satellite communications training course details Who will benefit: Anyone working with satellite systems. Prerequisites: None. Duration 3 days Satellite communications training course contents Basic Principles of Satellite Communications GEO, MEO and LEO satellites. Launching and orbits. Frequency bands and polarisation. Satellite footprints. Multibeam coverage. Power spectra. Link budgets. Modulation and coding. Access technologies. Earth station components. Space segment components. Satellite system services. Satellite operators. Radio frequency propagation Electromagnetic waves principles and generation. Reception of the EM wave. Space wave, sky wave and surface wave theory. The isotropic radiator. Types of antennae and their basic properties. Polar diagrams. International frequency allocation. Spectrum management and utilisation. Radio wave propagation. Line of sight propagation. Propagation for satellite comms. Free space path loss. Path attenuation. Noise and Interference. Power and its measurement. Satellite antennae and other hardware Power flux density. Effective aperture. Horn antennae. Parabolic reflector. Offset feed. Cassegrain and Gregorian antennae. Antenna feed systems - Horn, TMC, OMJ and polarizer. Antenna steering and mount systems. Array antennae. LNA, LNB, LNC. Microwave tubes - TWT and Klystron. Polarizers. Earth and Space Segments and the link Earth station antennae. Transponders. Antennae sub systems. Power supplies. Link budgets. System noise. System losses. Interference. Satellite switching. Ground Communications Equipment Baseband signals. Analogue and Digital systems. Overview of modulation - AM, FM, PM. Digital Modulation. Frequency conversion -up and down conversion. Filters, mixers, local oscillators, IF amplifiers and group delay equalisers. Access methods - single and multiple access systems. Data networks. Television transmission - analogue and digital. Digital signal compression. MPEG processing. Satellite Navigation Longitude, latitude, altitude, GPS, How GPS works, timing, alternatives to GPS. Mobile satellite services Voice and Phones, BGAN, TV, GPS to program aerial, VSAT. Error Control Coding The need for coding. Linear block codes. Cyclic codes. Convolution codes. Interleaving and concatenated codes. Coding gain. Turbo codes. Test and measurement Theory and practice of Spectrum Analysers.