23715 Industry courses in Addlestone delivered On Demand

The Data Analyst: Data Analytics Diploma With Complete Career Guide Course is designed for individuals eager to delve into the world of data analysis, offering a solid foundation in the field. This course comprehensively covers essential concepts such as data manipulation, statistical analysis, data visualisation, and working with various software tools that are pivotal in the modern data-driven environment. The curriculum is thoughtfully structured to guide learners through the fundamentals and progressively tackle more advanced topics. It allows participants to grasp key techniques and theories, making it ideal for anyone who wants to gain expertise in data analysis at their own pace. The course not only covers technical aspects but also provides valuable insights into building a successful career in data analysis. Learners will gain a clear understanding of the industry’s trends, career paths, and the skills necessary to excel in a data-centric job. The knowledge gained will enable individuals to approach data with confidence, making informed decisions and contributing to organisations across various sectors. With flexible learning that can be accessed anytime, it offers a convenient way for individuals to equip themselves with the tools they need to enter the field of data analysis. Key Features: CPD Certified Data Analyst : Data Analytics Diploma With Complete Career Guide 10 Instant e-certificate and hard copy dispatch by next working day Fully online, interactive course with audio voiceover Developed by qualified professionals in the field Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum: Module 01: Introduction to the World of Data Module 02: Basics of Data Analytics Module 03: Statistics for Data Analytics Module 04: Actions Taken in the Data Analysis Process Module 05: Gathering the Right Information Module 06: Storing Data Module 07: Data Mining Module 08: Excel for Data Analytics Module 09: Tools for Data Analytics Module 10: Data-Analytic Thinking Module 11: Data Visualisation That Clearly Describes Insights Module 12: Data Visualisation Tools ________________________________________________________________________ Complete Career Guide for Data Analyst : Data Analytics Diploma (A to Z) This isn't just a course; it's your ticket to thriving in the sector and your roadmap to the Data Analyst sector. In addition to mastering the essentials of Data Analyst, you'll also gain valuable skills in CV writing, job searching, communication, leadership, and project management. These 9 complementary courses are designed to empower you at every stage of your journey. Stand out in your career, from crafting a winning CV to excelling in interviews. Develop the leadership skills to inspire your team and efficiently manage projects. This holistic approach ensures you're not just job-ready but career-ready. Enrol today, and let's build your success story together in Data Analyst. Your dream career starts here! List of career guide courses included in Data Analyst : Data Analytics Diploma With Complete Career Guide: Course 01: Professional CV Writing and Job Searching Course 02: Communication Skills Training Course 03: Career Development Training Course 04: Time Management Course 05: Returning to Work Training Course 06: Level 3 Diploma in Project Management Course 07: Leadership Skills Course 08: Body Language Course 09: Interview and Recruitment ________________________________________________________________________ Learning Outcomes: Gain a comprehensive understanding of the fundamentals of data analytics. Apply statistical techniques to extract valuable insights from data sets. Execute the entire data analysis process efficiently and effectively. Utilize tools like Excel and other data analytics tools proficiently. Develop a strategic and analytical mindset for problem-solving in data. Master the art of data visualization using various tools for communication. Accreditation All of our courses, including theData Analyst : Data Analytics Diploma With Complete Career Guidecourse, are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification Once you've successfully completed your Data Analyst : Data Analytics Diploma With Complete Career Guide, you will immediately be sent your digital certificates. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we recommend renewing them every 12 months. Assessment At the end of the courses, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven't, there's no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself. CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals aspiring to enter the data analytics field. Professionals seeking to enhance their data analysis skills. Students interested in building a career in data-driven decision-making. Anyone keen on mastering Excel and other data analytics tools. Requirements There are no formal requirements for this bundle courses to be enrolled. Career path Data Analyst - £30K to 45K/year. Business Intelligence Analyst - £35K to 50K/year. Statistical Analyst - £32K to 48K/year. Data Scientist - £40K to 60K/year. Business Analyst - £35K to 50K/year. Certificates 10 CPD Accredited e-Certificates Digital certificate - Included 10 CPD Accredited Hard Copy Certificates Hard copy certificate - Included

Overview Effective project managers drive success in every industry! Companies across the UK are looking for professionals who can oversee projects, manage resources, and deliver results efficiently. With the growing need for skilled project leaders, now is the perfect time to gain the expertise employers value and set yourself up for a rewarding career! After successful completion of this Project Management course you can acquire the required skills in this sector. You’ll learn essential techniques for planning, executing and delivering projects effectively. Learn key skills like risk management, budgeting, scheduling, team leadership, and communication. This course provides practical knowledge and real-world examples to help you manage projects of any size with confidence and succeed in your career. So enroll in this course today to fast-track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Description The Project Management course teaches key skills in planning, executing, and leading projects, including risk management, budgeting, and scheduling. Ideal for anyone looking to start or advance their career in project management. Course Curriculum 10 sections • 10 lectures • 04:34:00 total length •Module 01: Introduction to Project Management •Module 02: PMBOK and PMI •Module 03: Global Project Management •Module 04: Project Life Cycle •Module 05: Time Management •Module 06: Quality Management •Module 07: Effective Planning & Scheduling •Module 08: Human Resource Management •Module 09: Performance Management •Module 10: Talent Management Who is This course for? This course is perfect for anyone looking to build a career in project management or those wanting to enhance their existing skills. Whether you're a beginner, a professional looking to advance, or someone who wants to take on more leadership responsibilities in managing projects, this course will provide the essential knowledge and tools to succeed. Requirements Our Project Management is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Completing this course will strengthen your CV and open up various roles in project management across industries. Project Coordinator Project Administrator Junior Project Manager Project Manager Senior Project Manager Project Management Director

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

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

Gain comprehensive knowledge in child psychology and counselling with our accredited Child Psychology & Counselling Diploma Course. Enjoy a great online learning experience with expert guidance and support from industry leaders. Suitable for individuals interested in child psychology, aspiring counsellors, psychology students, professionals seeking to enhance their skills, and parents/caregivers

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.

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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.