611 Courses in Cardiff delivered On Demand

In today's competitive job market, having the right skills and knowledge can make all the difference in your career path. And for those seeking a career in electrical power engineering, proficiency in MATLAB Simulink is a must. With our MATLAB Simulink for Electrical Power Engineering bundle, you'll gain the practical skills and knowledge needed to succeed in the industry, from power electronics simulations to high voltage generation and beyond. Electrical power engineering is a rapidly growing field with great earning potential. According to Payscale, the average salary for an electrical engineer in the UK is £32,000 per year, with senior electrical engineers earning up to £60,000 per year. Our bundle includes 11 comprehensive courses, covering everything from electrical machines to advanced electrical safety, and designed to take you on a journey through the fundamentals of electrical engineering and beyond. Whether you're an aspiring electrical engineer looking to gain a foothold in the industry or a seasoned professional seeking to expand your expertise, our MATLAB Simulink for Electrical Power Engineering bundle has something for everyone. With a wealth of knowledge at your fingertips and the support of our expert instructors, you'll be well on your way to becoming a true master of electrical power engineering. Learning Outcomes: Gain a comprehensive understanding of MATLAB Simulink and its applications in electrical power engineering Develop expertise in power electronics and high-voltage generation Understand the principles and applications of electrical machines and electric circuits Master electricity and circuit analysis at Level 3 Develop skills in electric power metering for single and three-phase systems Learn advanced electrical safety techniques and best practices Understand the protection and control of high-voltage power circuits The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your [reed_title] expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes. This MATLAB Simulink for Electrical Power Engineering Bundle Consists of the following Premium courses: Course 01: MATLAB/Simulink for Power Electronics Simulations Course 02: High Voltage Generation for Electrical Engineering Course 03: Protection and Control of High Voltage Power Circuits Course 04: Electrical Machines for Electrical Engineering Course 05: Power Electronics for Electrical Engineering Course 06: Electric Circuits for Electrical Engineering Course 07: Electricity & Circuit Analysis Level 3 Course 08: Basic AC Circuit Analysis Course 09: Electric Power Metering for Single and Three Phase Systems Course 10: Advanced Electrical Safety Course 11: Light Current Systems for Electrical Engineering CPD 40 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Electrical engineering students seeking a comprehensive understanding of the field Electrical engineers looking to expand their knowledge and skillset Professionals seeking to break into the electrical engineering industry Those looking to advance their careers in electrical power engineering Anyone with an interest in MATLAB Simulink and its applications in the field. Career path Junior Electrical Engineer: £25,000 - £30,000 Electrical Engineer: £30,000 - £45,000 Senior Electrical Engineer: £45,000 - £60,000 Electrical Engineering Manager: £60,000 - £80,000 Director of Electrical Engineering: £80,000+ Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - £10 You will get the Hard Copy certificate for the MATLAB/Simulink for Power Electronics Simulations course absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

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Uncover the secrets of R Programming for Data Science, enhance your statistical prowess with Statistics & Probability for Data Science & Machine Learning, and master spatial visualisation in Python. To top it all, there's a course on Google Data Studio for Data Analytics. Key Features of the Data Science & Machine Learning, Excel Pivot & Machine Learning with Python Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Data Science & Machine Learning, Excel Pivot & Machine Learning with Python bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: 2021 Data Science & Machine Learning with R from A-Z QLS Course 02: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines QLS Course 03: Machine Learning with Python 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Python Data Science with Numpy, Pandas and Matplotlib Course 02: R Programming for Data Science Course 03: Statistics & Probability for Data Science & Machine Learning Course 04: Spatial Data Visualisation and Machine Learning in Python Course 05: Google Data Studio: Data Analytics In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Data Science & Machine Learning, Excel Pivot & Machine Learning with Python courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Master the usage of Excel Pivot Tables, Pivot Charts, Slicers, and Timelines. Develop proficiency in Machine Learning using Python. Acquire skills to manipulate data using Numpy, Pandas, and Matplotlib. Learn to code in R for Data Science applications. Understand the application of Statistics & Probability in Data Science & Machine Learning. Learn to create impactful data visualisations and analyse data using Google Data Studio. The "Data Science & Machine Learning, Excel Pivot & Machine Learning with Python" bundle is a comprehensive compilation designed to equip you with the theoretical knowledge necessary for the fast-evolving data-driven world. The three QLS-endorsed courses provide foundational understanding in Data Science, Machine Learning with R, Excel Pivot functionalities, and Machine Learning with Python, thereby setting a strong base. Furthermore, the five CPD QS accredited courses offer a deeper dive into the world of Data Science. Whether it is harnessing Python's power for data science tasks, exploring R programming, mastering statistical techniques, understanding spatial data visualisation in Python, or learning to navigate Google Data Studio for Data Analytics, this bundle has you covered. With this comprehensive learning experience, gain the theoretical insight needed to navigate and succeed in the dynamic field of data science. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in theoretical concepts of Data Science and Machine Learning. Professionals looking to enhance their knowledge in Excel Pivot Tables and Charts. Aspiring data scientists who want to learn Python and R programming for data science. Anyone seeking to understand data visualisation and analytics through Python and Google Data Studio. Career path Data Scientist: Leveraging data for actionable insights (£40,000 - £90,000 per annum). Machine Learning Engineer: Designing and implementing machine learning systems (£50,000 - £90,000 per annum). Excel Analyst: Using Excel for data analysis and visualisation (£30,000 - £60,000 per annum). Python Developer: Developing applications using Python (£40,000 - £80,000 per annum). Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

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FREE Level 3 QLS Hard Copy Certificate | 120 CPD Points | Advanced Learning Materials | Lifetime Access | Tutor Support

Level 3 QLS Endorsed Course with FREE Certificate | CPD & CiQ Accredited | 120 CPD Points | Lifetime Access

Level 3 QLS Endorsed Course with FREE Certificate | CPD & CiQ Accredited | 120 CPD Points | Lifetime Access

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Bundle Comprises the Following CPD Accredited Courses:3 Course 01: Python Data Science Course 02: R Programming for Data Science Course 03: Quick Data Science Approach from Scratch Course 04: SQL for Data Science, Data Analytics and Data Visualization Course 05: Programming AutoCAD with SQL Server Database Using C# Course 06: Big Data Analytics with PySpark Power BI and MongoDB Course 07: Develop Big Data Pipelines with R & Sparklyr & Tableau Course 08: Develop Big Data Pipelines with R, Sparklyr & Power BI Course 09: Data Center Training Essentials: Power & Electrical Course 10: Building Big Data Pipelines with PySpark MongoDB and Bokeh Course 11: Clinical Data Management with SAS Programming Course 12: Certificate in Data Entry and Management Course 13: Business Intelligence and Data Mining Course 14: Set Menu Prices for your restaurant using data Course 15: Data Analysis In Excel Course 16: Data Protection Course 17: Learn Python, JavaScript, and Microsoft SQL for Data science Course 18: Spatial Data Visualisation and Machine Learning in Python Course 19: Python Intermediate Training Course 20: Complete Python Machine Learning & Data Science Fundamentals Course 21: Python Programming Bible | Networking, GUI, Email, XML, CGI Course 22: Deep Learning & Neural Networks Python - Keras Course 23: The Complete Python 3 Course: Beginner to Advanced! 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Whether you are starting your career, switching industries, or enhancing your professional skills, the Data Science with Python bundle offers the flexibility and convenience to learn at your own pace. Make the Data Science with Python package your trusted partner in your lifelong learning journey. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Data Science with Python (30 in 1) CPD Accredited Courses! is perfect for: Expand your knowledge and skillset for a fulfilling career with the Data Science with Python bundle. Become a more valuable professional by earning CPD certification and mastering in-demand skills with the Data Science with Python bundle. Discover your passion or explore new career options with the diverse learning opportunities in the Data Science with Python bundle. Learn on your schedule, in the comfort of your home - the Data Science with Python bundle offers ultimate flexibility for busy individuals. Requirements You are warmly invited to register for this bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment. Career path Gain a wide range of skills across various fields, improve your problem-solving capabilities, and keep current with industry trends. Perfect for those aiming for career advancement, exploring a new professional direction, or pursuing personal growth. Begin your journey with the Data Science with Python bundle. Certificates CPD Certificates Digital certificate - Included

What Will I Learn? Master arithmetic operations with integers, decimals, and fractions. Solve problems using factors, multiples, and percentages. Apply the BODMAS rule for complex calculations. Simplify using estimation, approximation, and scientific notation. Tackle real-world scenarios with knowledge in ratio, profit, loss, and tax. Functional Skills Maths Level 2 is a meticulously crafted course designed to enhance learners' mathematical competencies. Diving deep into core mathematical principles, it bridges the gap between theoretical knowledge and real-world application. Whether you're aiming to advance in your professional journey or seeking clarity in daily math-related tasks, this course stands as an essential toolkit. With a focus on practicality, it ensures that learners not only understand but can also apply their knowledge confidently in various scenarios. Elevate your numeracy skills and become mathematically adept with this comprehensive course.

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Data-Informed Decision Making in Projects: On-Demand Project management professionals constantly need to make project decisions that could be decisive for the outcome of their projects but often do not have sufficient information available to confidently make decisions. As a result, projects are increasingly falling short of delivering on their promises, requiring, more than ever, a data-informed approach to decision-making in the area of project delivery and management. The rapid growth of data comes with various challenges though, which consequently needs consideration of various critical factors for a successful implementation of a data-informed decision-making process in organizations and projects. What You Will Learn At the end of this program, you will be able to: Describe and understand the relevant methods and techniques to identify, acquire, and analyze relevant data points for decision making in projects Articulate analytical questions to focus on the real problems Identify potential shortfalls and gaps in project decision-making and apply actions to mitigate them Introduction to Data-Informed Decision Making The different types of decisions in projects Data-informed decision-making framework Shortcomings with traditional decision-making models Understanding the value of data for project delivery Issues in project management and how data can help solve them The DIKW Pyramid (Data, information, knowledge, wisdom) Types of data in projects Applying Data Analytics Understanding Data Analytics Levels of Data Analytics Data-Informed vs. Data-Driven Challenges and How to Address Them Project data availability and collection Data quality Behavioral blockers and bias Skills and Techniques Data literacy and data fluency Communicating for informed decision-making Monitoring and evaluating project decisions Implementing Data-Informed Decision Making Decision-making strategy and governance Project data culture Continuously improving decision quality Future Outlook for Decision-Making in Projects Data and AI Digital Decisioning