8421 Courses in Cardiff delivered Online

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is any IT, facilities or data centre professional who works in and around the data centre and has the responsibility to achieve and improve efficiency and environmental sustainability, whilst maintaining the availability and manageability of the data centre. Overview After completion of the course the participant will be able to: Understand the impact of data centres on the environment Describe the various environmental/energy management standards Understand the purpose and goals of the legally binding international treaties on climate change Implement various sustainable performance metrics and how to use them in the data centre environment Manage data centre environmental sustainability using international standards Set up the measurement, monitoring and reporting of energy usage Use power efficiency indicators in a variety of data centre designs Use best practices for energy savings in the electrical infrastructure and in the mechanical (cooling) infrastructure Use best practices for energy savings for the ICT equipment and data storage Understand the importance of water management and waste management Understand the different ways to use sustainable energy in the data centre Get practical tips and innovative ideas to make a data centre more sustainable The CDESS© course is aimed at providing knowledge of the standards and guidelines related to environmental sustainability, and how to move your data centre (existing or new) to a more environmentally sustainable design and operations. Impact of Data Centres on the Environment Predictions in 2010 Current situation Outlook and commitments What is Environmental Sustainability The importance of sustainability Senior management commitment Environmental sustainability framework Sustainability policies Performance standards and metrics Information policies Transparency Awareness Service charging models Environmental Management Environmental sustainability framework (ISO 14001) Standards and guidelines ? ISO 50001 / ISO 30134 Measurement and categories Baselining Trend analysis Reporting Power Effiðciency Indicators Various eðfficiency indicators Power Usage Effectiveness (PUE) PUE measurement levels Factors affecting PUE Measurement points and intervals PUE in mixed source environments Measuring PUE in a mixed-use building PUE reporting Impact of PUE after optimising IT load Electrical Energy Savings (Electrical) Identifying the starting point for saving energy Sizing of power DC power Generators UPS systems Power Factor (PF) Energy savings on lighting Electrical Energy Savings (Mechanical) Energy savings on the cooling infrastructure Temperature and humidity setpoints Various energy eðcient cooling technologies Energy savings on the airflow Liquid cooling Energy reusage PUE, ERE/ERF and Control Volume Electrical Energy Savings (ICT) Procurement IT equipment energy eðfficiency ITEEsv, SMPE, SMPO IT equipment utilisation Server virtualisation Open compute project Electrical Energy Savings (Data Storage) Data management Data storage management Data storage equipment effiðciency Water Management Water Usage Effectiveness (WUE) Improving WUE Water usage at the power generation source Energy Water Intensity Factor (EWIF) Waste Management Waste management policies Life-cycle assessment (Cradle to the grave) 3 R?s for waste management Reduce Reuse Second-hand market Recycle Sustainable Energy Usage Sustainable energy sources Power purchase agreements Energy attribute certificates Renewable Energy Factor (REF) Matching renewable energy supply and demand Sustainable energy storage Carbon trading Automated Environmental Management Systems Use of AI and machine learning Load migration Data Centre Infrastructure Management (DCIM) solutions

Overview This comprehensive course on Python for Data Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python for Data Analysis comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol 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. Who is this course for? There is no experience or previous qualifications required for enrolment on this Python for Data Analysis. It is available to all students, of all academic backgrounds. Requirements Our Python for Data Analysis 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 19 sections • 99 lectures • 00:08:00 total length •Welcome & Course Overview: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:37:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method ..: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00 •Resources- Python for Data Analysis: 00:00:00

Getting Started The ILM Level 3 Leadership and Management course is perfect for individuals who have management responsibilities but lack formal training and are committed to enhancing their skills. The course is especially beneficial for team leaders looking to advance to the next management level and managers who must guide their teams through organisational changes, budget reductions, or other challenging situations. Through this ILM Level 3 Leadership and Management course, you will develop leadership skills, improve decision-making capabilities, hone management techniques, enhance team performance, and gain a deeper understanding of organisational behaviour. The course will also provide opportunities for practical application of skills in real-world scenarios and open doors to further career advancement. You will have the flexibility to tailor your learning experience to align with your career aspirations and professional development goals through an extensive selection of units. Key Benefits For Learners Acquire a range of management skills and apply them in your current role Strengthen your leadership capabilities to inspire and empower teams, and skilfully navigate relationships Elevate your leadership and management proficiency by leveraging your personal knowledge, values, and driving force For Organisations Effective and confident First line managers Better relationships and healthy communication within teams Proven skills: Managers will demonstrate the ability to apply their new skills to drive success in your organisation Equip your managers with the tools to continuously develop their own skills and abilities Career Pathways The ILM Level 3 Leadership and Management can open many career pathways including, but not limited to: Team Leader, with an estimated average salary of £30,051 per annum Supervisor, with an estimated average salary of £33,000 per annum Shift Manager, with an estimated average salary of £35,216 per annum Project Officer, with an estimated average salary of £36,451 per annum About Awarding Body Institute of Leadership & Management (ILM) is a professional body that helps people worldwide improve their leadership capabilities and advance their careers. All ILM qualifications are awarded by The City and Guilds of London Institute, founded in 1878 and incorporated into the Royal Charter. ILM qualifications are regulated and approved by Ofqual, the governing body for qualifications in the UK. What is included? Learn 100% online at your own pace Dedicated support from expert tutors Dedicated Support Desk Portal: You can raise queries, request tutor support and ask for a call back whenever you need guidance and assistance. Elevate Knowledge: Your tutors will provide formative assessment feedback for each module, helping you improve your achievements throughout the program Schedule online personal tutor meetings whenever you want, which will help you get the most out of your studies and provide guidance, support and encouragement 10 months support period 24-hour access to the online learning platform 'MyLearnDirect' Schedule live online classes for each module at your convenience. (Blended learning only) Quality learning resources and study guides developed by ILM-approved tutors. All assessment materials are conveniently accessible through the online learning platform 'MyLearnDirect' Induction: We offer online and flexible learning induction to help you settle in and prepare for your online studies ILM Membership - You will receive 12 months of the Institute of Leadership & Management membership, bringing access to a wealth of resources to support your leadership development. ILM Digital credentials - Validate your skills and share achievements anywhere, anytime using Digital Credentials Assessment For each module you study, you will complete a written assignment of 2000 to 2500 words and submit it online at your MyLearnDirect learning portal. The submitted assignments will be assessed by your ILM-approved tutor. Entry Requirements ILM Level 3 Leadership and Management is designed for new aspiring team leaders, which gives an in-depth introduction to the role and responsibilities of a team leader. To be eligible for this course, you must: Be 18 years of age and over Have considerable work experience as a team leader or supervisor or a similar role Possess the ability to complete the Level 3 course Our friendly admissions advisors will provide the best advice, considering your needs and goals.  Progression Successful learners may progress to a range of qualifications including the following: ILM Level 3 Diploma in Facilities Management ILM Level 4 Award, Certificate or Diploma in Leadership and Management Why gain a ILM Qualification? The Level 3 Certificate in Leadership and Management is ideal for individuals with management responsibilities who need formal training and are serious about developing their abilities. The course is made up of a wide range of units covering core management skills - such as understanding how to organise and delegate - plus skills in communication, team leadership, change, innovation and managing people and relationships. This flexibility in unit choice allows the coourse to be tailored to meet the needs of the individual and employer. Successful completion of the course could lead you to progression to a range of qualifications including: ILM Level 3 Diploma in Leadership and Management ILM Level 3 Certificate in Coaching and Mentoring ILM Level 4 Award, Certificate or Diploma in Leadership and Management ILM graduates achieve remarkable things: An impressive 70,000 people take ILM qualifications every year, with 93% of employers agreeing that their managers improved after completion. ILM Membership - All ILM learners receive a minimum of 12 months membership of the Institute of Leadership & Management, bringing access to a wealth of resources to support their leadership development ILM Digital credentials - Validate skills and share achievements anywhere, anytime using Digital Credentials Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- Managing Risk in the Workplace Reference No : 8600-403 Credit : 3 || TQT : 30 UNIT2- Developing People in the Workplace Reference No : 8600-405 Credit : 5 || TQT : 50 UNIT3- Understand How to Lead Effective Meetings Reference No : 8600-328 Credit : 2 || TQT : 20 UNIT4- Leading and Motivating a Team Effectively Reference No : 8600-341 Credit : 2 || TQT : 20 UNIT5- Developing Own Leadership Capability Using Action Learning (Diploma only) Reference No : 8600-342 Credit : 10 || TQT : 100 UNIT6- Understanding Change in the Workplace Reference No : 8600-209 Credit : 2 || TQT : 20 UNIT7- Developing Yourself as an Effective Team Member Reference No : 8600-230 Credit : 3 || TQT : 30 UNIT8- Managing Equality and Diversity in Own Area Reference No : 8600-402 Credit : 4 || TQT : 40 UNIT9- Understanding Innovation and Change in an Organisation Reference No : 8600-301 Credit : 2 || TQT : 20 UNIT10- Planning Change in the Workplace Reference No : 8600-302 Credit : 2 || TQT : 20 UNIT11- Giving Briefings and Making Presentations Reference No : 8600-307 Credit : 2 || TQT : 20 UNIT12- Understanding Performance Management Reference No : 8600-323 Credit : 2 || TQT : 20 Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Embark on a coding odyssey like no other with our course, 'Start Learning Arduino without Writing a Single Line of Code.' Imagine a journey where the intricacies of Arduino unfold effortlessly, without the need for complex coding. From the basics of Arduino and embedded systems to the installation of ArduinoBlockly, this course revolutionizes learning by offering a code-free approach. Visualize yourself effortlessly interfacing LEDs, switches, buzzers, and even mastering advanced concepts like pulse width modulation and ultrasonic distance sensing. Each module is a gateway to a new project, from traffic light controllers to digital thermometers, all achieved without a single line of code. This course is not just an introduction; it's an invitation to witness the magic of Arduino without the constraints of traditional coding barriers. Learning Outcomes Attain a profound understanding of Arduino basics and embedded systems without the need for traditional coding syntax. Master the installation and program downloading process using ArduinoBlockly and Arduino IDE. Acquire hands-on experience in interfacing LEDs, switches, buzzers, and tri-color LEDs, realizing projects like chasers and traffic light controllers without writing a single line of code. Explore advanced concepts such as serial communication, ADC, pulse width modulation, ultrasonic distance sensing, and servo motor interfacing, unlocking a world of possibilities without coding complexities. Gain the ability to create functional projects, including digital thermometers, water level indicators, and servo-based angular control, utilizing a code-free approach. Why choose this Start Learning Arduino without Writing a Single Line of Code 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 Start Learning Arduino without Writing a Single Line of Code for? Coding beginners and enthusiasts eager to explore Arduino without delving into traditional programming. Students and hobbyists looking for a hands-on, code-free introduction to embedded systems. DIY enthusiasts intrigued by the prospect of building innovative projects without the complexities of coding. Technology enthusiasts interested in mastering Arduino interfaces, sensors, and advanced concepts without traditional coding barriers. Anyone seeking a creative and accessible entry point into the world of Arduino and embedded systems. Career path Arduino Specialist: £25,000 - £40,000 Electronics Technician: £20,000 - £35,000 Embedded Systems Technician: £22,000 - £38,000 IoT Device Developer: £28,000 - £45,000 Automation Engineer: £30,000 - £50,000 Electronics Design Assistant: £23,000 - £38,000 Prerequisites This Start Learning Arduino without Writing a Single Line of Code does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Start Learning Arduino without Writing a Single Line of Code 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 Introduction To Arduino Introduction To Course 00:01:00 Introduction to Embedded System and Arduino 00:04:00 Arduino Basics 00:09:00 Difference between C Syntax of Arduino and C Coding 00:10:00 Arduino And Ardublockly Installation And Program Downloading Arduino IDE and ArduinoBlockly Installation 00:10:00 Writing Program into ArduioBlockly and downloading on Board 00:11:00 Program Downloading using Arduino IDE 00:05:00 Arduino Interfaces Breadboard 00:08:00 LEDs LED Interfacing 00:11:00 Project 1: All LED Blinking 00:01:00 Project 2: Alternate LED Blinking 00:01:00 Project 3: Four LEDs ON - OFF 00:01:00 Project 4: Chaser 00:01:00 Ten Times LED Blinking 00:01:00 Switches Switch Interfacing 00:11:00 Project 6: LED and Switch Program 00:02:00 Project 7: Two LEDs and Two Switches Program 00:02:00 Buzzer Buzzer 00:03:00 Project 8: Buzzer Programming 00:01:00 Project 9: Buzzer and LED Program 00:01:00 Tri Color LED Tri-Color LED 00:05:00 Project 10: Tri-Color LED Based Red, Green, Blue Color Generation 00:01:00 Project 11: Tri Color LED Based Yellow, Cyan and Magenta Color Generation 00:01:00 Project 12: Traffic Light Controller 00:01:00 Project 13: Tri Color LED and Switch Based Color Generation 00:02:00 Seven Segment Display Seven Segment Display Interfacing 00:07:00 Project 14: Up Counter Using Seven Segment Display 00:04:00 Serial Communication Introduction Serial Communication 00:13:00 Project 15: Printing a Message into Monitor Window 00:01:00 Project 16: Message Reading Using Serial Communication 00:01:00 Project 17: Device Control 00:03:00 ADC And Analog Sensors ADC concepts 00:17:00 Project 18: Digital Thermometer 00:02:00 Project 19: Digital Voltmeter 00:02:00 Project 20: Digital Light Meter 00:01:00 Project 21: Temperature Controller 00:01:00 Pulse Width Modulation In Arduino Introduction To Pulse Width Modulation and its Concepts 00:12:00 Project 22: LED Fading 00:01:00 Ultrasonic Distance Sensing Ultrasonic Sensor concept 00:14:00 Project 23: Distance Meter 00:02:00 Project 24: Water Level Indicator 00:01:00 Servo Motor Interfacing Servo Interfacing with Arduino 00:15:00 Project 25: Servo Based Angular Control 00:01:00 Conclusion Conclusion 00:01:00

This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds

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This Autodesk Revit Bundle Consists of the following Premium courses: Course 01: Autodesk Revit: Modeling & Rendering Course 02: Revit Architecture Ultimate Interior Design Course Course 03: Revit Architecture Ultimate Exterior Design for Beginners Course 04: Revit Architecture Advanced Exterior Design Course Course 05: Architectural Studies Course 06: AutoCAD VBA Programming - Beginner course Course 07: CAD Design Course: Assemblies, Modelling And Civil Drawings Course 08: Mastering Colour-Architectural Design & Interior Decoration Course 09: WELL Building Standard Course 10: LEED V4: Building Design and Construction Course 11: Building Surveyor Course 12: Solidworks Foundation Training Course 13: Digital Art - Sketching In Photoshop Course 14: Decision Making and Critical Thinking Benefits you'll get choosing Apex Learning: Pay once and get lifetime access to 14 CPD courses Free e-Learning App for engaging reading materials & helpful assistance Certificates, student ID for the title course included in a one-time fee Free up your time - don't waste time and money travelling for classes Accessible, informative modules designed by expert instructors Learn at your ease - anytime, from anywhere Study the course from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills Gain valuable knowledge without leaving your home How will I get my Certificate? After successfully completing the course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course ) Hard Copy Certificate: Free (For The Title Course ) The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Autodesk Revit expertise and essential knowledge, which will assist you in reaching your goal. Curriculum of Bundle Course 01: Autodesk Revit: Modeling & Rendering Section 1: Modelling and Rendering Living Area Section 2: Modelling and Rendering Bedroom Section 3: modelling and Rendering Kitchen Course 02: Revit Architecture Ultimate Interior Design Course Module 01: Modelling and Rendering Office Interior Module 02: Modelling and Rendering Living Room Course 03: Revit Architecture Ultimate Exterior Design for Beginners Section 1: Modelling Gorki House Section 2: Mountain house Section 3: Modelling Blue Domed Mosque Section 4: Modelling Taj Mahal Section 5: Modelling Residential house Course 04: Revit Architecture Advanced Exterior Design Course Section 1: Sketch to 3D Project 1 Section 2: Sketch to 3D Project 2 Section 3: Sketch to 3D Project 3 Section 4: Sketch to 3D Project 4 Section 5: Sketch to 3D Project 5 Course 05: Architectural Studies Module-1: Introduction to Architectural Studies Module-2: Ancient Architecture Module-3: Architectural Ideas and Movements Module-4: Architectural Styles Module-5: Art Deco Architectural Style Module-6: Scandinavian Architectural Style Course 06: AutoCAD VBA Programming - Beginner course Unit 01: Introduction Unit 02: VBA Integrated Development Environment (IDE) Unit 03: Understanding AutoCAD Object Model in VBA Unit 04: Using Variables in VBA Unit 05: User Forms and Controls Course 07: CAD Design Course: Assemblies, Modelling And Civil Drawings Module 01: Introduction to Geometry and Modelling Module 02: CAD Design Assemblies Module 03: Introduction to Extrusion and Rotations Module 04: CAD Blending Operations Module 05: Civil Drawing Parameters Course 08: Mastering Colour-Architectural Design & Interior Decoration Module 1: Introduction Module 2: The Impact of Fashion and Colour Trends Module 3: Colour Terminology Module 4: Colour Basics and Neutral Colours Module 5: Warm vs. Cool Colours Module 6: Colour Schemes Course 09: WELL Building Standard Unit 1: Introduction Unit 2: Air Unit 3: Water Unit 4: Nourishment Unit 5: Light Unit 6: Fitness Unit 7: Comfort Unit 8: Mind Course 10: LEED V4: Building Design and Construction Unit 01: Introduction Unit 02: Integrative Process Unit 03: Location & Transportation Unit 04: Sustainable Sites Unit 05: Water Efficiency Unit 06: Energy & Atmosphere Course 11: Building Surveyor Module 01: Building Survey: An Introduction Module 02: Building Law Principles Module 03: Building Procurement and Contract Administration Module 04: Building Information Modelling Module 05: Building Technology Module 06: The Procedure of Building Survey and Surveys of Historic Buildings Course 12: Solidworks Foundation Training Unit 01 Introduction Unit 02 Material, Appearance and Scene Unit 03 Lights and Camera Course 13: Digital Art - Sketching In Photoshop Module 01: Introduction Module 02: Introduction to Photoshop Module 03: Customizing Your Workspace Module 04: Creating a New Document CPD 140 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Autodesk Revit bundle. Requirements Our Autodesk Revit course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path Having this Autodesk Revit expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included P.S. The delivery charge inside the UK is £3.99, and the international students have to pay £9.99.

Business Management & Business Analysis are essential pillars in any thriving organisation. This course equips you with the knowledge to navigate the world of business operations and analysis, whether you're aiming to lead projects, optimise processes, or evaluate strategic decisions. Throughout the course, you'll gain a clear understanding of core business principles, including organisational behaviour, market analysis, and decision-making frameworks that shape the business landscape. By delving into both management and analysis, you’ll develop a strong foundation for driving business growth and making informed decisions that enhance company performance. Whether you're looking to build a new career or climb the corporate ladder, this course will help you hone your understanding of management concepts, data analysis techniques, and business strategy. You'll learn how to interpret data, design actionable strategies, and approach complex challenges with a methodical mindset. As the business world continuously evolves, your ability to analyse and manage effectively will allow you to confidently contribute to any organisation’s success, setting you up for future leadership roles. This is your opportunity to shape your career trajectory with in-depth knowledge of business dynamics and management skills. Key Features: CPD Certified 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 Business Management Module 01: Accounting Concepts and Standards Module 02: Balance Sheet Module 03: Income statement Module 04: Financial statements Module 05: Cash Flow Statements Module 06: Understanding Profit and Loss Statement Module 07: Financial Budgeting and Planning Module 08: Introduction to Finance Module 09: Essential Skill for Financial Advisor Module 10: Financial Planning Module 11: Financial Risk Management and Assessment Module 12: Investment Planning Module 13: Business Processes Module 14: Ratio Analysis Module 15: Planning & Forecasting Operations Module 16: Ten Common Statistical Mistakes Module 17: Needs Assessment Module 18: Business Analysis Planning Module 19: Strategy Analysis Module 20: Stakeholder Analysis Module 21: Business Development and Succession Planning Module 22: Process Management Module 23: Supply Chain Management Module 24: Procurement & Purchasing Management Module 25: Project Management Module 26: Business Analysis Planning and Monitoring Module 27: Strategic Analysis and Product Scope Module 28: Quality Management Module 29: Negotiation Techniques Module 30: Communication Skills Module 31: Skills of an Effective Administrator Module 32: What is Marketing? Module 33: Common Marketing Types (I) Module 34: Common Marketing Types (II) Module 35: Business Etiquette Module 36: Introduction to Strategic Management Business Module 37: Corporate Governance Module 38: Industry Analysis Module 39: Strategy Formulation Module 40: Strategy Implementation Module 41: Building a Brand Module 42: Generating Success from the Customer Relationship Module 43: Understanding Business Law Module 44: Contract & Business Law Module 45: Consumer Law and Protection Module 46: Introduction to Human Resources Module 47: Business Proposal Writing Module 48: The Market System and the Circular Flow Model Module 49: Supply, Demand and Prices Module 50: Market Structure: Perfect Competition vs Monopoly Business Analysis Module 01: An Introduction to Business Analysis Module 02: The Necessity of a Business Analyst Module 03: Addressing Requirements Module 04: Needs Assessment Module 05: Business Analysis Planning Module 06: Strategy Analysis Module 07: Stakeholder Analysis Module 08: Requirements Elicitation Module 09: Requirements Analysis Module 10: Traceability and Monitoring Module 11: Solution Evaluation ________________________________________________________________________ Complete Career Guide for Business Management & Business Analysis (A to Z) This isn't just a course; it's your ticket to thriving in the sector and your roadmap to the Management. In addition to mastering the essentials of Management, 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 Health and Management. Your dream career starts here! List of career guide courses included in Business Management & Business Analysis 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: Analyze and interpret financial statements for informed decision-making. Create risk-reduction measures and strategic company plans. Analyze the organization thoroughly, taking into account the needs of stakeholders and requirements. Acquire essential skills in communication, negotiation, and project management. Manage the intricacies of company law while guaranteeing adherence to the law. Develop a comprehensive understanding of marketing, strategic management, and company growth. ________________________________________________________________________ Accreditation All of our courses, including this course, 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 Course, 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 130 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Ambitious entrepreneurs looking for a thorough comprehension. Individuals aiming for proficiency in financial planning and analysis. Those pursuing careers in project management and strategic development. Enthusiasts for industry who are ready to negotiate moral and legal terrain. Career path Financial Analyst - £40K to 60K/year. Business Analyst - £35K to 55K/year. Project Manager - £45K to 70K/year. Marketing Manager - £40K to 65K/year. Human Resources Manager - £40K to 60K/year. Certificates 11 CPD Accredited e-Certificates Digital certificate - Included 11 CPD Accredited Hard Copy Certificates Hard copy certificate - Included

About this Training Course There are various kinds of geophysical data available. They are separated into seismic and non-seismic (multi-physics) data. Non-seismic or multi-physics data (which includes gravity, magnetics, electrical, electromagnetics, spectral etc - apart from providing complimentary information to seismic) is the main source of information for very shallow subsurface applications such as engineering, mapping pollution, archaeology, geothermal energy, and related areas. This 5 full-day blended course will focus specifically on seismic data which is the main method used in the Oil & Gas industry. In this blended course, participants will be equipped to understand that seismic data represents the movement of the surface, resulting from waves generated by a source, dynamite or vibrator which are reflected by changes in the subsurface rocks. The basic principles of acquisition and processing will be explained and insights into advanced methods, allowing a much more accurate interpretation of seismic data than previously considered possible, will also be provided. This blended course contains an introduction to Machine Learning and its important role in all aspects of seismic acquisition, processing, and interpretation. There is no need to know in detail how the algorithms work internally but it is necessary to know how to use them correctly to achieve optimum results. Training Objectives By attending this course, participants will be able to acquire the following: Obtain an understanding of the strengths and limitations of geophysical methods, specifically seismic, and the costs and risks involved, and how to reduce these. Be able to communicate more effectively with staff in other disciplines. Understand the potential applications of seismic data and know how to formulate the requirements needed for prospect and field evaluation. Gain an awareness of modern seismic technology. Apply the learning in a series of practical, illustrative exercises. Know what types of questions to ask to assess the necessary quality of a seismic project in its role in a sequence of E&P activities Target Audience The blended course is intended for non-geophysicists who have intensive interaction with geophysicists. But it may be of interest to those who want to know about the recent progress made in geophysics, leading to amazing imaging results, which could not be imagined a decade ago. The blended course will bring to the attention of the geologists, petrophysicists and reservoir/petroleum engineers an awareness of how the data they will work with is acquired and processed by the geophysicist. It will introduce the concepts that are of importance in geophysics and thus relevant for non-geophysicists to know and be able to communicate with geophysicists as well as formulate their requests. Course Level Intermediate Trainer Your expert course leader has degree in Geology (University of Leiden), a Master's degree in Theoretical Geophysics (University of Utrecht) and a PhD in Utrecht on 'Full wave theory and the structure of the lower mantle'. This involved forward modelling of P- and S-waves diffracted around the core-mantle boundary and comparison of the frequency-dependent attenuation of the signal with those obtained from major earthquakes observed at long offsets in the 'shadow zone' of the core. These observations were then translated into rock properties of the D' transition zone. After his PhD, he joined Shell Research in The Netherlands to develop methods to predict lithology and pore-fluid based on seismic, petrophysical and geological data. He subsequently worked for Shell in London to interpret seismic data from the Central North Sea Graben. As part of the Quantitative Interpretation assignment, he was also actively involved in managing, processing and interpreting Offshore Seismic Profiling experiments. After his return to The Netherlands, he headed a team for the development of 3D interpretation methods using multi-attribute statistical and pattern recognition analysis on workstations. After a period of Quality Assurance of 'Contractor' software for seismic processing, he became responsible for Geophysics in the Shell Learning Centre. During that period, he was also a part-time professor in Applied Geophysics at the University of Utrecht. From 2001 to 2005, he worked on the development of Potential Field Methods (Gravity, Magnetics) for detecting oil and gas. Finally, he became a champion on the use of EM methods and became involved in designing acquisition, processing and interpretation methods for Marine Controlled Source EM (CSEM) methods. After his retirement from Shell, he founded his own company, specialising in courses on acquisition, processing and interpretation of geophysical data (seismic, gravity, magnetic and electromagnetic data), providing courses to International and National energy companies. In the last couple of years, he became keenly interested in the use of Machine Learning in Geophysics. Apart from incorporating 'Artificial Intelligence' in his courses, he also developed a dedicated Machine Learning course for geophysics. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

Management of Portfolios (MoP®) Practitioner: In-House Training In this MoP® Practitioner course, participants will have sufficient knowledge and understanding of how to apply and tailor the MoP guidance and to analyze portfolio data, documentation, and roles in relation to a given situation. MoP helps organizations ensure if the investments are done in the right, change initiatives, and implementing them correctly. This is achieved by: Prioritizing the programs and projects in terms of their contribution to the organization's strategic objectives and overall level of risk Managing the programs and projects consistently to ensure efficient and effective delivery Maximizing the benefit by providing the greatest return from the investment made What you will Learn Define the business case to get senior management approval for portfolio management Plan the implementation of portfolio management Select and adapt MoP principles, practices, and techniques to suit different organizational environments Evaluate examples of MoP information including documents and role descriptions Analyze the solutions adopted in relation to a given scenario Introduction Overview MoP Portfolio Definition Portfolio Management Roles Portfolio Management Documents MoP Practitioner Assignments Portfolio Management Documents Portfolio Delivery How to Implement Practice Exam MoP Practitioner Exam (taken online, after the class has ended)

The Art of Negotiation (Virtual) Confidence, rapport, curiosity, and patience are essential ingredients to successfully handling a difficult conversation and negotiation. In this course, you will learn to identify and manage aspects of a negotiation, distinguish needs from wants, and manage expectations. The course will cover communication best practices, strategies for handling difficult conversations, and the basics of the art of negotiation. What You Will Learn You'll learn how to: Master the different ways to say 'no' Determine negotiation strategies based on typical client strategies Develop solutions to break deadlocks Getting Started Introductions Course structure Course goals and objectives Establishing personal learning objectives Foundation Concepts Exercise: Most Challenging Scenarios and Outcomes Debrief: Impact versus intent Addressing customer expectations Needs versus wants Key skills for managing customer relationships o Elicitation (requirements gathering) o Communication and active listening o Sensitivity and empathy Handling Difficult Conversations Saying 'no' The Ladder of Inference 4-Step approach for handling difficult conversations Characteristics of a trusted advisor Communication Best Practices Attunement and active listening Exercise: Identifying Effective Techniques Communication pitfalls and best practices Building rapport and influence Words of wisdom Exercise: Reflection on Challenges Negotiation Strategies Negotiation basics Five phases of negotiation Identifying different strategies o Traditional versus Progressive o Hard - Soft - Principled o Exercise: Your Preferred Techniques Selecting appropriate strategy for project negotiations o Common pitfalls to avoid o The impact of culture on negotiation Looking at conflict through the lens of negotiation Exercise: Mapping a Resolution