24540 Industry courses in Congleton delivered Online

The 'Electrical Circuits Laws and Methods' course is designed to provide a comprehensive understanding of electric circuits, laws, and analytical methods. It covers fundamental concepts, basic laws, methods of analysis, circuit theorems, operational amplifiers, and capacitors and inductors. Students will learn essential principles to analyze and design electrical circuits effectively. Learning Outcomes: Understand the basic concepts of electric circuits, including electric charge, current, voltage, power, and energy. Apply Ohm's Law and other basic laws to analyze resistive circuits and determine currents and voltages. Use nodal and mesh analysis methods to analyze and solve complex electrical circuits with various sources. Apply circuit theorems such as the Superposition Theorem, Thevenin's Theorem, and Norton's Theorem to simplify circuit analysis. Comprehend the properties and applications of operational amplifiers in various amplifier configurations. Analyze capacitors and inductors in DC circuits, calculate their stored energy, and understand their equivalent capacitance and inductance in series and parallel configurations. Why buy this Electrical Circuits Laws and Methods? 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. Certification After studying the course materials of the Electrical Circuits Laws and Methods 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? The Electrical Circuits Laws and Methods course is designed for undergraduate and graduate electrical engineering students as a foundational study of circuit theory. It is suitable for electronics enthusiasts eager to grasp the functioning and design of electrical circuits for various applications. Engineering technicians and technologists working in fields like telecommunications and manufacturing can benefit from this course to better understand and troubleshoot electrical circuits in practical settings. Electrical technicians and electricians can enhance their problem-solving abilities and theoretical knowledge of electrical circuits by taking this course. Hobbyists and DIY enthusiasts interested in electronics projects will find value in learning circuit design and troubleshooting through this course. Professionals in engineering and related fields can use this course for continuing education to refresh their knowledge and stay up-to-date with advancements in electrical circuit theory and methods. Prerequisites This Electrical Circuits Laws and Methods does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Electrical Circuits Laws and Methods 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 Electrical Engineer: £28,000 - £70,000 per year Electronics Engineer: £30,000 - £75,000 per year Electrician: £24,000 - £45,000 per year Power Systems Engineer: £32,000 - £80,000 per year Telecommunications Engineer: £28,000 - £70,000 per year Automation and Control Systems Engineer: £35,000 - £80,000 per year Course Curriculum Unit 1- Basic Concepts Module 1- What Is an Electric Circuit 00:02:00 Module 2-System of Units 00:07:00 Module 3- What Is an Electric Charge 00:05:00 Module 4- What Is an Electric Current 00:08:00 Module 5-Example 1 00:01:00 Module 6- Example 2 00:02:00 Module 7- Example 3 00:02:00 Module 8- What Is Voltage 00:07:00 Module 9- What Is Power 00:06:00 Module 10- What Is Energy 00:04:00 Module 11- Example 4 00:03:00 Module 12-Example 5 00:03:00 Module 13- Dependent and Independent Sources 00:05:00 Module 14- Example 6 Part 1 00:04:00 Module 15- Example 6 Part 2 00:01:00 Module 16- Application 1 Cathode Ray Tube 00:04:00 Module 17-Example 10 00:03:00 Module 18- Application 2 Electricity Bills 00:02:00 Module 19- Example 8 00:03:00 Unit 2- Basic Laws Module 1- Introduction to Basic Laws 00:01:00 Module 2- Definition of Resistance 00:06:00 Module 3- Ohm's Law 00:02:00 Module 4- Types of Resistances 00:06:00 Module 5- Open and Short Circuit 00:05:00 Module 6- Definition of Conductance 00:04:00 Module 7-Example 1 00:01:00 Module 8- Example 2 00:03:00 Module 9- Example 3 00:03:00 Module 10- Branch, Node and Loops 00:07:00 Module 11- Series and Parallel Connection 00:04:00 Module 12- KCL 00:04:00 Module 13- KVL 00:03:00 Module 14- Example 4 00:05:00 Module 15- Example 5 00:02:00 Module 16- Example 6 00:06:00 Module 17- Series Resistors and Voltage Division 00:07:00 Module 18-Parallel Resistors and Current Division 00:12:00 Module 19- Analogy between Resistance and Conductance 00:07:00 Module 20-Example 7 00:03:00 Module 21-Example 8 00:04:00 Module 22- Introduction to Delta-Wye Connection 00:06:00 Module 23-Delta to Wye Transformation 00:05:00 Module 24- Wye to Delta Transformation 00:07:00 Module 25-Example 9 00:03:00 Module 26- Example 10 00:15:00 Module 27- Application Lighting Bulbs 00:03:00 Module 28-Example 11 00:05:00 Unit 3- Methods of Analysis Module 1- Introduction to Methods of Analysis 00:02:00 Module 2- Nodal Analysis with No Voltage Source 00:15:00 Module 3-Example 1 00:04:00 Module 4-Cramer's Method 00:04:00 Module 5-Nodal Analysis with Voltage Source 00:07:00 Module 6- Example 2 00:05:00 Module 7- Example 3 00:13:00 Module 8-Mesh Analysis with No Current Source 00:10:00 Module 9-Example 4 00:04:00 Module 10- Example 5 00:06:00 Module 11-Mesh Analysis with Current Source 00:07:00 Module 12-Example 6 00:08:00 Module 13-Nodal Vs Mesh Analysis 00:04:00 Module 14-Application DC Transistor 00:04:00 Module 15-Example 7 00:04:00 Unit 4- Circuit Theorems Module 1-Introduction to Circuit theorems 00:02:00 Module 2-Linearity of Circuit 00:07:00 Module 3-Example 1 00:04:00 Module 4-Superposition Theorem 00:07:00 Module 5- Example 2 00:04:00 Module 6-Example 3 00:06:00 Module 7-Source Transformation 00:08:00 Module 8-Example 4 00:05:00 Module 9-Example 5 00:03:00 Module 10-Thevenin Theorem 00:10:00 Module 11-Example 6 00:06:00 Module 12-Example 7 00:05:00 Module 13- Norton's Theorem 00:05:00 Module 14-Example 8 00:03:00 Module 15-Example 9 00:05:00 Module 16-Maximum Power Transfer 00:05:00 Module 17-Example 10 00:03:00 Module 18-Resistance Measurement 00:05:00 Module 19-Example 11 00:01:00 Module 20-Example 12 00:04:00 Module 21-Summary 00:05:00 Unit 5- Operational Amplifiers Module 1-Introduction to Operational Amplifiers 00:03:00 Module 2-Construction of Operational Amplifiers 00:07:00 Module 3-Equivalent Circuit of non Ideal Op Amp 00:10:00 Module 4-Vo Vs Vd Relation Curve 00:03:00 Module 5-Example 1 00:09:00 Module 6-Ideal Op Amp 00:07:00 Module 7- Example 2 00:04:00 Module 8-Inverting Amplifier 00:05:00 Module 9-Example 3 00:05:00 Module 10-Example 4 00:02:00 Module 11-Non Inverting Amplifier 00:08:00 Module 12-Example 5 00:03:00 Module 13-Summing Amplifier 00:05:00 Module 14-Example 6 00:02:00 Module 15-Difference amplifier 00:06:00 Module 16-Example 7 00:08:00 Module 17-Cascaded Op Amp Circuits 00:06:00 Module 18-Example 8 00:04:00 Module 19-Application Digital to Analog Converter 00:06:00 Module 20-Example 9 00:04:00 Module 21-Instrumentation Amplifiers 00:05:00 Module 22-Example 10 00:01:00 Module 23-Summary 00:04:00 Unit 6- Capacitors and Inductors Module 1-Introduction to Capacitors and Inductors 00:02:00 Module 2-Capacitor 00:06:00 Module 3-Capacitance 00:02:00 Module 4-Voltage-Current Relation in Capacitor 00:03:00 Module 5-Energy Stored in Capacitor 00:06:00 Module 6-DC Voltage and Practical Capacitor 00:02:00 Module 7-Example 1 00:01:00 Module 8-Example 2 00:01:00 Module 9-Example 3 00:05:00 Module 10-Equivalent Capacitance of Parallel Capacitors 00:02:00 Module 11-Equivalent Capacitance of Series Capacitors 00:03:00 Module 12-Example 4 00:02:00 Module 13-Definition of Inductors 00:06:00 Module 14-Definition of Inductance 00:03:00 Module 15-Voltage-Current Relation in Inductor 00:03:00 Module 16-Power and Energy Stored in Inductor 00:02:00 Module 17-DC Source and Inductor 00:04:00 Module 18-Example 5 00:02:00 Module 19-Series Inductors 00:03:00 Module 20-Parallel Inductors 00:04:00 Module 21-Example 6 00:01:00 Module 22-Small Summary to 3 Basic Elements 00:02:00 Module 23-Example 7 00:05:00 Module 24-Application Integrator 00:05:00 Module 25-Example 8 00:03:00 Module 26-Application Differentiator 00:02:00 Module 27-Example 9 00:06:00 Module 28-Summary 00:05:00 Assignment Assignment - Electrical Circuits Laws and Methods 00:00:00

Delve into the world of data analysis with 'R Programming for Data Science,' a course designed to guide learners through the intricacies of R, a premier programming language in the data science domain. The course opens with a broad perspective on data science, illuminating the pivotal role of R in this field. Learners are then introduced to R and RStudio, equipping them with the foundational tools and interfaces essential for R programming. The curriculum progresses with an introduction to the basics of R, ensuring learners grasp the core principles that underpin more complex operations. A highlight of this course is its in-depth exploration of R's versatile data structures, including vectors, matrices, factors, and data frames. Each unit is crafted to provide learners with a comprehensive understanding of these structures, pivotal for effective data handling and manipulation. The course also emphasizes the importance of relational and logical operators in R, key elements for executing data operations. As the course advances, learners will engage with the nuances of conditional statements and loops, essential for writing efficient and dynamic R scripts. Moving into more advanced territories, the course delves into the creation and usage of functions, an integral part of R programming, and the exploration of various R packages that extend the language's capabilities. Learners will also gain expertise in the 'apply' family of functions, crucial for streamlined data processing. Further units cover regular expressions and effective strategies for managing dates and times in data sets. The course concludes with practical applications in data acquisition, cleaning, visualization, and manipulation, ensuring learners are well-prepared to tackle real-world data science challenges using R. Learning Outcomes Develop a foundational understanding of R's role in data science and proficiency in RStudio. Gain fluency in R programming basics, enabling the handling of complex data tasks. Acquire skills in managing various R data structures for efficient data analysis. Master relational and logical operations for advanced data manipulation in R. Learn to create functions and utilize R packages for expanded analytical capabilities. Why choose this R Programming for Data Science 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 R Programming for Data Science course for? Beginners in data science eager to learn R programming. Data analysts and scientists looking to enhance their skills in R. Researchers in various fields requiring advanced data analysis tools. Statisticians seeking to adopt R for more sophisticated data manipulations. Professionals in finance, healthcare, and other sectors needing data-driven insights. Career path Data Scientist (R Expertise): £30,000 - £70,000 Data Analyst (R Programming Skills): £27,000 - £55,000 Bioinformatics Scientist (R Proficiency): £35,000 - £60,000 Quantitative Analyst (R Knowledge): £40,000 - £80,000 Research Analyst (R Usage): £25,000 - £50,000 Business Intelligence Developer (R Familiarity): £32,000 - £65,000 Prerequisites This R Programming for Data Science does not require you to have any prior qualifications or experience. You can just enrol and start learning.This R Programming for Data Science 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: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's next? 00:02:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00 Assignment Assignment - R Programming for Data Science 00:00:00

Discover the rewarding field of Counselling and Psychology with our Diploma Course, designed for those who want to help others overcome their difficulties. Join us to begin your journey towards a fulfilling career as a Psychologist, Counsellor, Careers Counsellor, Drug and Alcohol Counsellor, or Family and Marriage Counsellor. Get your CPD certificate upon completion and be ready to make a positive difference in people's lives.

Unleash Your Potential with Waste Management Course 🌱 Are you ready to unlock the secrets to a cleaner, more sustainable future? Dive into the world of waste management with our comprehensive course designed to equip you with the knowledge and skills needed to tackle one of the most pressing challenges of our time. Why Waste Management Matters 🌍 Waste management isn't just about collecting trash. It's about understanding the intricate web of systems that govern how we dispose of, recycle, and repurpose our waste. From reducing landfill waste to implementing innovative recycling solutions, waste management plays a crucial role in preserving our planet for future generations. In our Waste Management course, you'll explore the principles, practices, and technologies that drive effective waste management strategies. Whether you're a seasoned environmental professional or a newcomer to the field, this course offers something for everyone eager to make a positive impact on our environment. What You'll Learn 📚 Fundamentals of Waste Management: Gain a comprehensive understanding of the principles and theories that underpin effective waste management strategies. Waste Reduction Techniques: Explore innovative techniques for reducing waste generation and minimizing environmental impact. Recycling and Resource Recovery: Learn about the latest advancements in recycling technologies and resource recovery processes. Waste Legislation and Policy: Understand the legal and regulatory frameworks governing waste management at local, national, and international levels. Sustainable Practices: Discover how to integrate sustainability principles into waste management practices for long-term environmental stewardship. Who is This For? 🎯 Our Waste Management course is perfect for: Environmental enthusiasts looking to deepen their understanding of waste management principles. Professionals seeking to enhance their skills and stay abreast of industry trends. Students pursuing careers in environmental science, sustainability, or related fields. Government officials and policymakers involved in waste management and environmental regulation. No matter your background or experience level, this course provides the tools and knowledge you need to make a meaningful difference in the world of waste management. Career Path 🚀 The skills and insights gained from our Waste Management course can open doors to a variety of rewarding career opportunities, including: Environmental Consultant Waste Management Specialist Sustainability Coordinator Recycling Program Manager Environmental Policy Analyst Waste Treatment Plant Operator Whether you're looking to launch a new career or advance in your current role, our course can help you build the expertise and credentials needed to succeed in the dynamic field of waste management. Frequently Asked Questions (FAQ) ❓ Q: Is this course suitable for beginners? A: Absolutely! Our Waste Management course is designed to accommodate learners of all experience levels, from beginners to seasoned professionals. We provide comprehensive instruction and support to ensure that everyone can succeed. Q: Can I take this course online? A: Yes, our Waste Management course is available online, allowing you to study at your own pace from anywhere in the world. Access course materials, lectures, and assignments from the comfort of your home or office. Q: What kind of certification will I receive upon completion? A: Upon successful completion of the course, you will receive a certificate of achievement recognizing your proficiency in waste management principles and practices. This certificate can enhance your resume and demonstrate your commitment to environmental stewardship. Q: Are there any prerequisites for enrolling in the course? A: While there are no strict prerequisites for enrolling in the Waste Management course, a basic understanding of environmental science concepts can be helpful. However, our course is designed to be accessible to learners from diverse backgrounds. Q: How long does it take to complete the course? A: The duration of the course varies depending on your individual pace and schedule. Typically, students complete the program within a few weeks to a few months, but you can progress through the material at your own speed. Enroll Today and Make a Difference! 🌟 Join us on a journey to transform the way we manage waste and safeguard our planet for future generations. With our Waste Management course, you'll gain the knowledge, skills, and inspiration needed to become a catalyst for positive change in your community and beyond. Enroll today and take the first step toward a cleaner, more sustainable future! Course Curriculum Module 1_ Definition and Scope of Waste Management Definition and Scope of Waste Management 00:00 Module 2_ Waste Collection and Transportation Waste Collection and Transportation 00:00 Module 3_ Waste Treatment and Disposal Waste Treatment and Disposal 00:00 Module 4_ Waste Management Planning and Implementation Waste Management Planning and Implementation 00:00 Module 5_ Waste Management in Developing Countries Waste Management in Developing Countries 00:00 Module 6_ Waste Management and Climate Change Waste Management and Climate Change 00:00 Module 7_ Waste Management and Public Health Waste Management and Public Health 00:00 Module 8_ Economic and Social Aspects of Waste Management Economic and Social Aspects of Waste Management 00:00 Module 9_ International and National Waste Management Policies and Regulations International and National Waste Management Policies and Regulations 00:00 Module 10_ Innovations and Emerging Technologies in Waste Management Innovations and Emerging Technologies in Waste Management 00:00

🚀 Unlock Your Business Potential with 'Maximizing Revenue Growth: Mastering Go-To-Market Strategies' Course! 🚀   Ready to propel your business to new heights and maximize your revenue? Look no further! Dive into our comprehensive online course meticulously designed to equip you with the essential strategies for unprecedented success in the market.   🔍 Here's what you'll master in each module: 🔹 Module 01: Create a Unique Competitive Advantage Uncover the secrets to set your business apart from the competition. Learn how to identify and leverage your unique strengths to create an unbeatable competitive edge. 🔹 Module 02: Position Your Product or Service in Action Craft a winning strategy to effectively position your product or service in the market. Gain insights into consumer behavior and learn to tailor your offerings for maximum impact. 🔹 Module 03: Determine Your Target Market Discover the power of pinpoint accuracy! Understand your audience better than ever before and learn how to target and captivate your ideal customers. 🔹 Module 04: Build a Compelling Value Proposition Learn the art of crafting compelling value propositions that resonate with your audience. Master the skills needed to communicate your product or service's unique benefits effectively.   🎓 What's in it for you? ✅ Actionable insights from industry experts ✅ Practical strategies for immediate implementation ✅ Engaging learning materials: videos, quizzes, and real-world case studies ✅ Accessible anytime, anywhere - fit your learning into your schedule   📈 Elevate your revenue game and outshine your competition! Enroll now and transform your business into a revenue-generating powerhouse. Don't miss this opportunity to revolutionize your approach to market strategies! Join 'Maximizing Revenue Growth: Mastering Go-To-Market Strategies' and take the first step towards exponential success. Enroll today and start your journey to maximizing revenue growth! 🚀📈💡 Course Curriculum Module 01: Create a Unique Competitive Advantage Unique Competitive Advantage Explained 00:00 Unique Competitive Advantage - Company Examples 00:00 How to Determine Your Unique Competitive Advantage 00:00 Step 1 - Evaluate Your Strengths 00:00 Step 2 - Evaluate Your Competitive Landscape 00:00 Step 3 - Identify Your Unique Competitive Advantage 00:00 Step 4 - Test Your Unique Competitive Advantage 00:00 Common Mistakes 00:00 Workshop - Unique Competitive Advantrage In Action 00:00 Module 02: Position Your Product or Service in Action Positioning is about Your Customer's Point of View 00:00 What Investors are Looking For 00:00 Ben and Jerry's Case Study 00:00 Keys to Success 00:00 The Positioning Framework Overview 00:00 Step 1 - Create Meaningful Attributes - Part 1 00:00 Step 1 - Create Meaningful Attributes - Part 2 00:00 Step 1 - Create Meaningful Attributes - Part 3 00:00 Viking Cruises - Case Study 00:00 Step 2 - Custom Attributes 00:00 Step 3- Evaluate Rank Attributes 00:00 Step 4 - Evaluating Positioning Rankings 00:00 2122 - Step 5 - Positioning of Your Attributes 00:00 Step 6 - Your Positioning Statement 00:00 Common Mistakes 00:00 Workshop - Position Your Product or Service in Action 00:00 Module 03: Determine Your Target Market Target Market Essentials 00:00 Why is Your Target Market So Important 00:00 Define Your Target Market 00:00 Step 1 - Define Standard Attributes - Demographics 00:00 Step 1 (con't) - Define Standard Attributes - More Demographics 00:00 Step 1 (con't) - Define Standard Attributes - Psychographics 00:00 Step 2 - Develop Custom Attributes 00:00 Step 3 - Validation 00:00 Step 4 - Adjust Your Strategy 00:00 Workshop - Devleoping Your Target Market 00:00 Module 04: Build a Compelling Value Proposition Characteristics of Unique Value Propositions 00:00 Types of Customer Benefits UVPs Express 00:00 Examples of Unique Value Propositions 00:00 What Investors Are Looking For 00:00 Value Proposition vs Competitive Advantage 00:00 Understand Your Competitor's Unique Value Proposition 00:00 Streaming Services Example 00:00 The Value Proposition Framework 00:00 Step 1 - Brainstorming 00:00 Step 2 - Create a Value Proposition List 00:00 Step 3 - Determine Uniqueness 00:00 Step 4 - Prioritize Top Value Propositions 00:00 Step 5 - Tell a Story 00:00 Common Mistakes 00:00 Workshop - Build Your Unique Value Proposition 00:00

🌟 Unlock Your Excel Potential with Microsoft Excel 2019 - Intermediate Level Training! 🌟 Master the art of Excel with our comprehensive online course designed specifically for intermediate learners. Elevate your skills, boost productivity, and excel in spreadsheet management like never before. 📊 Course Curriculum 📊 🔹 Section 1 - Excel - Intermediate: Dive into the intermediate level of Excel functionalities, bridging the gap between basic and advanced techniques. 🔹 Section 2 - Lists: Learn the art of managing data efficiently with lists, organizing information for streamlined analysis and presentation. 🔹 Section 3 - DataBase Functions: Harness the power of database functions, empowering you to manipulate data with ease and precision. 🔹 Section 4 - Data Validation: Ensure data accuracy and integrity by implementing effective data validation techniques, preventing errors in your spreadsheets. 🔹 Section 5 - Importing and Exporting: Master the process of importing and exporting data seamlessly, integrating external information into your Excel sheets effortlessly. 🔹 Section 6 - Creating Basic Charts: Transform data into impactful visuals with basic chart creation, enhancing your ability to communicate insights effectively. 🔹 Section 7 - Pivot Tables: Unlock the potential of pivot tables, harnessing their analytical power to summarize and analyze complex data sets effortlessly. 🔹 Section 8 - Working with Large Data: Navigate and manipulate extensive data sets efficiently, optimizing your workflow with strategies tailored for large-scale information. 🔹 Section 9 - LookUp Functions: Explore lookup functions to search for and retrieve specific data, refining your ability to find information swiftly. 🔹 Section 10 - Advanced Functions: Elevate your Excel proficiency with advanced functions, expanding your capabilities to handle complex calculations and tasks. 🔹 Section 11 - Excel Intermediate - Conclusion: Wrap up your intermediate Excel journey, reinforcing key concepts and preparing you for further advancements. 🎓 Why Choose Our Course? 🎓 🚀 Comprehensive Learning: A structured curriculum tailored to the needs of intermediate Excel users, covering a wide array of functionalities. 👨‍🏫 Expert Guidance: Led by industry experts well-versed in Excel, ensuring a rich learning experience with practical insights. 🤝 Interactive Learning: Engage with interactive exercises and real-life examples, solidifying your understanding through hands-on practice. 📈 Career Growth: Acquire skills highly sought after in the job market, giving you a competitive edge in various professional domains. 🔓 Don't miss this opportunity to take your Excel skills to the next level! Enroll now and unleash your potential with Microsoft Excel 2019 - Intermediate Level Training. 🔓 Course Curriculum Section 1 - Excel - Intermediate Excel Intermediate Introduction 00:00 Intermediate Shortcut Keys 00:00 Section 2 - Lists What are Lists 00:00 Sorting a List 00:00 Sorting - Multiple Criteria 00:00 Custom Sort 00:00 What are Filters 00:00 Format a List as a Table 00:00 Section 3 - DataBase Functions Introduction to DataBase Functions 00:00 DSum Function 00:00 DSum Function - Single Criteria 00:00 DSum Function - Multiple Criteria 00:00 DAverage 00:00 DCount Function 00:00 Subtotal 00:00 Section 4 - Data Validation Data Validation - List 00:00 Data Validation - Decimal 00:00 Input and Error Messages 00:00 Section 5 - Importing and Exporting Importing Data from Text Files 00:00 Importing Data from MS Access 00:00 Exporting Data to a Text File 00:00 Section 6 - Creating Basic Charts Creating Basic Charts 00:00 The Chart Ribbon 00:00 Adding and Modifying Data on a Chart 00:00 Formatting Charts 00:00 Section 7 - Pivot Tables Understanding Pivot Tables 00:00 Creating Pivot Tables 00:00 Pivot Table Calculations 00:00 Grouping Pivot Table Data 00:00 Formatting Pivot Table Data 00:00 Drilling Down into Pivot Table Data 00:00 Creating Pivot Charts 00:00 Filtering Pivot Table Data 00:00 Filtering using the Slicer 00:00 Section 8 - Working with Large Data Grouping Data 00:00 Consolidating Data 00:00 Section 9 - LookUp Functions VLookUp 00:00 HLookUp 00:00 Index and Match 00:00 Section 10 - Advanced Functions FV Function 00:00 PMT Function 00:00 Hyperlinks 00:00 Text to Columns 00:00 Section 11 - Excel Intermediate - Conclusion Excel Intermediate - Conclusion 00:00

Duration 5 Days 30 CPD hours This course is intended for This course is designed for technology leaders, solution developers, project managers, organizational decision makers, and other individuals seeking to demonstrate a vendor-neutral, cross-industry understanding of ethics in emerging data-driven technologies, such as AI, robotics, IoT, and data science. This course is also designed for professionals who want to pursue the CertNexus Certification Exam CET-110: Certified Ethical Emerging Technologies. Overview In this course, you will incorporate ethics into data-driven technologies such as AI, IoT, and data science. You will: Describe general concepts, theories, and challenges related to ethics and emerging technologies. Identify ethical risks. Practice ethical reasoning. Identify and mitigate safety and security risks. Identify and mitigate privacy risks. Identify and mitigate fairness and bias risks. Identify and mitigate transparency and explainability risks. Identify and mitigate accountability risks. Build an ethical organization. Develop ethical systems in technology-focused organizations. Mutually reinforcing innovations in computing and engineering are catapulting advances in technological production. From blockchain and artificial intelligence (AI) to gene editing and the Internet of Things (IoT), these advances come with tremendous opportunities for improvement in productivity, efficiency, and human well-being. But as scandals increasingly demonstrate, these advances also introduce new and serious risks of conflict and harm.Technology professionals now face growing demands to identify and mitigate ethical risks to human rights and the environment, as well as to navigate ethical tradeoffs between qualities such as privacy and accuracy, fairness and utility, and safety and accountability. This course provides the tools to identify and manage common ethical risks in the development of emerging data-driven technologies. It distills ethical theory, public regulations, and industry best practices into concrete skills and guidelines needed for the responsible development of digital products and services. By following the course's practical, problems-based approach, learners will become adept at applying theories, principles, frameworks, and techniques in their own roles and organizations. Introduction to Ethics of Emerging Technologies Topic A: What?s at Stake Topic B: Ethics and Why It Matters Topic C: Ethical Decision-Making in Practice Topic D: Causes of Ethical Failures Identifying Ethical Risks Topic A: Ethical Reasons Topic B: Stumbling Blocks for Ethical Reasoning Topic C: Identify Ethical Risks in Product Development Topic D: Tools for Identifying Ethical Risks Topic E: Use Regulations, Standards, and Human Rights to Identify Ethical Risks Ethical Reasoning in Practice Topic A: Ethical Theories Topic B: Use Ethical Decision-Making Frameworks Topic C: Select Options for Action Topic D: Avoid Problems in Ethical Decision-Making Identifying and Mitigating Security Risks Topic A: What Is Security? Topic B: Identify Security Risks Topic C: Security Tradeoffs Topic D: Mitigate Security Risks Identifying and Mitigating Privacy Risks Topic A: What Is Privacy? Topic B: Identify Privacy Risks Topic C: Privacy Tradeoffs Topic D: Mitigate Privacy Risks Identifying and Mitigating Fairness and Bias Risks Topic A: What Are Fairness and Bias? Topic B: Identify Bias Risks Topic C: Fairness Tradeoffs Topic D: Mitigate Bias Risks Identifying and Mitigating Transparency and Explainability Risks Topic A: What Are Transparency and Explainability? Topic B: Identify Transparency and Explainability Risks Topic C: Transparency and Explainability Tradeoffs Topic D: Mitigate Transparency and Explainability Risks Identifying and Mitigating Accountability Risks Topic A: What Is Accountability? Topic B: Identify Accountability Risks Topic C: Accountability Tradeoffs Topic D: Mitigate Accountability Risks Building an Ethical Organization Topic A: What Are Ethical Organizations? Topic B: Organizational Purpose Topic C: Ethics Awareness Topic D: Develop Professional Ethics within Organizations Developing Ethical Systems in Technology-Focused Organizations Topic A: Policy and Compliance Topic B: Metrics and Monitoring Topic C: Communication and Stakeholder Engagement Topic D: Ethical Leadership

The Character Rigging in Toon Boom Harmony Course is your go-to guide for breathing life into digital characters—minus the drama of tangled timelines and unruly layers. Built for those keen to understand the art of character rigging with structure and efficiency, this course takes you through the full process using Toon Boom Harmony, one of the industry’s most respected animation tools. From building bone structures to creating smooth deformations, you’ll explore how rigging sets the stage for animation that flows, not flops. You’ll get a clear look at how to prepare assets, organise node systems, and fine-tune controls that help characters move convincingly and consistently. Whether you're animating quirky cartoons or complex characters, this course delivers rigging know-how without unnecessary tech waffle. It’s structured for clarity, designed to save time, and—thankfully—presented in a way that won’t send you scrambling for a glossary every five minutes. If you’re ready to rig characters that behave themselves (mostly), this is the perfect place to start. Learning Outcomes: Understand the basic principles of character rigging in Toon Boom Harmony. Separate body parts and change pivot points to create a rig. Create pegs and assign them to layers to create a rig. Parent layers to create a more complex rig. Create animation using the rig. Course Curriculum: The course on Character Rigging in Toon Boom Harmony consists of 9 modules. In Module 01, students will be introduced to the course and will learn about the software used in the course. Module 02 will focus on separating the body parts of a character, and Module 03 will teach students how to change pivot points. In Module 04, students will learn about pegs, and in Module 05, they will learn how to assign pegs to layers. Module 06 will focus on parenting layers. In Module 07, students will learn how to create a head rig, and in Module 08, they will learn how to create animation using the rig. Finally, in Module 09, students will conclude the course with a thank you message. 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? The course is ideal for highly motivated individuals or teams who want to enhance their professional skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path After completing the course on Character Rigging in Toon Boom Harmony, students can pursue the following career paths: Character Rigger - £25,000 to £50,000 per year 2D Animator - £18,000 to £35,000 per year Compositor - £25,000 to £40,000 per year Motion Graphics Designer - £20,000 to £45,000 per year Art Director - £30,000 to £70,000 per year 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.

Enhance your skills with the CPD Certified Mechanical Engineering course. This program covers essential topics such as mechanics, thermodynamics, materials science, and fluid dynamics. Gain practical knowledge and industry-recognized certification to boost your career and stay ahead in the field of mechanical engineering.

Duration 2 Days 12 CPD hours This course is intended for This course is a must-have for the Business Analyst, Business Systems Analyst, Systems Analyst, and Requirements Engineer. The Business Sponsor and the Project Manager who are actively involved with specifying requirements for their project will also benefit from this workshop. Overview Describe the planning, techniques, and partnerships that are vital to the success of requirements elicitationIdentify and differentiate between the different types of requirements that need to be elicitedDescribe the importance of documenting business objectives and project scope before eliciting requirementsUtilize a context diagram to scope the requirementsUtilize a process, techniques, and templates for stakeholder identification and analysisApply industry best practices to common issues with Stakeholders during requirements elicitationPlan and conduct a good InterviewIntroduce standards in process modelingPlan and develop a prototype to elicit requirements In this interactive 2-day course, you will learn how to enhance and refine your elicitation skills. Working in small groups, you will practice new techniques and discuss strategies that your organization should be using to better define stakeholder needs. Day 1 Unit 1: Course Introduction Unit 2: Fundamentals of Requirements Elicitation Unit 3: Understanding the Project Objectives and Scope Unit 4: Identifying and Analyzing Your Stakeholders Unit 5: Interviewing Techniques Day 2 Unit 6: Facilitation Techniques Unit 7: Process Modeling Unit 8: Prototyping Unit 9: Document Analysis, Interface analysis, and Reverse Engineering Unit 10: Course Summary Additional course details: Nexus Humans BA26 - Requirements Elicitation 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 BA26 - Requirements Elicitation 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.