1707 Literacy courses

Overview This comprehensive course on Finance Assets will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Finance Assets comes with accredited certification from CPD, 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 Finance Assets. It is available to all students, of all academic backgrounds. Requirements Our Finance Assets 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 5 sections • 45 lectures • 02:02:00 total length •Finance and Free Market Economies: 00:02:00 •Principles of Finance - Theory (Part 1): 00:04:00 •Principles of Finance - Theory (Part 2): 00:02:00 •Discounted Cash Flow (DCF): 00:01:00 •Interest Rates, Bonds and Annuities: 00:03:00 •Bonds: 00:03:00 •Bond Duration: 00:02:00 •Capital Market Theory - Risk & Return: Efficient Market Hypothesis: 00:03:00 •Security Market Line - Risk & Return: 00:04:00 •Security Market Line: 00:02:00 •Capital Asset Pricing Model: 00:01:00 •Portfolio Theory: 00:03:00 •Corporate Finance: 00:03:00 •Optimal Capital Structure - Debt vs. Equity: 00:03:00 •Interest Tax Shield / Cost of Financial Distress: 00:04:00 •Financial Leverage and Weighted Average Cost of Capital (WACC): 00:02:00 •Degree of Financial Leverage (DFL): 00:05:00 •Arbitrage Pricing Theory (APT): 00:01:00 •Capital Budgeting Methods / Techniques: 00:02:00 •Internal Rate of Return Method (IRR): 00:03:00 •Understanding Financial Statements / Financial Ratio Analysis: 00:06:00 •Company Stock Valuations: 00:02:00 •Valuation (Enterprises / Companies / Project): 00:06:00 •DCF Method - Company Enterprise Value: 00:02:00 •Calculation of the Free Cash Flow: 00:02:00 •Common Stock Valuation: 00:02:00 •Derivatives - Options and Future Contracts: 00:04:00 •Future Contracts: 00:04:00 •Call Option: 00:05:00 •SWAPS: 00:02:00 •Options Valuation and Pricing - Numerical and Black-Scholes: 00:02:00 •Cost, Price, Rates and Dividends: 00:02:00 •Analysis for Trading Purposes - Technical Analysis: 00:03:00 •Types of Trends: 00:02:00 •Support and Resistance / Volume: 00:02:00 •Moving Averages: 00:03:00 •Moving Average Convergence: 00:01:00 •Fundamental vs. Technical Analysis: 00:02:00 •Financial Forecasting: 00:02:00 •Regression, Correlation and Covariance: 00:02:00 •Time Series Analysis- Congregation and Random Walk: 00:05:00 •Errors in Statistical Forecasts: 00:03:00 •Econometrics Tools - Seasonality, Smoothing and Errors: 00:02:00 •Smoothing Techniques: 00:01:00 •Qualitative Methods - Survey, Research and Delphi: 00:02:00

Digital Transformation: Challenges and Opportunities With the digital transformation around us, the world is witnessing the Fourth Industrial Revolution. What makes it different? It comes with a profound change in how we live, work and interact with each other. It's diffusing at an unprecedented, exponential speed and at a large scale, nationally and globally. And, it is penetrating all industries and blurring the lines between the physical, digital and biological worlds. Organizations need to take ownership and lead the change, otherwise they will be out of business. The most important challenge is the type of leadership and talent needed to deal with this transformation. Project Management plays a vital role as it's the main driver for the change. Without the right skills, failure is inevitable. What is digital transformation? The new capabilities required for the transformation The Power of Execution

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Overview This comprehensive course on Professional Personal Finance Course will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Professional Personal Finance Course comes with accredited certification from CPD, 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 Professional Personal Finance Course. It is available to all students, of all academic backgrounds. Requirements Our Professional Personal Finance Course 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 6 sections • 23 lectures • 00:45:00 total length •Introduction: 00:01:00 •Personal Finance: 00:03:00 •Areas of Personal Finance: 00:03:00 •Net Worth: 00:01:00 •Net Worth - Example: 00:02:00 •Housing Expenses: 00:02:00 •Utility Expenses: 00:02:00 •Credit Debts: 00:01:00 •Food Expenses: 00:01:00 •Clothing Expenses: 00:02:00 •Gift Expenses: 00:01:00 •Travel Expenses: 00:01:00 •Extra Income - Part 1: 00:01:00 •Extra Income - Part 2: 00:02:00 •Emergency Fund: 00:03:00 •Savings on Retirement: 00:05:00 •Health Insurance: 00:03:00 •Introduction to the Budgeting Software: 00:02:00 •Setting Up - Part 1: 00:01:00 •Setting Up - Part 2: 00:02:00 •Dashboard: 00:03:00 •Budget Analysis: 00:03:00 •Assignment - Professional Personal Finance Course: 00:00:00

Overview This comprehensive course on Library and Information Science Course will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Library and Information Science Course 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 Library and Information Science Course It is available to all students, of all academic backgrounds. Requirements Our Library and Information Science Courseis 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 2 sections • 8 lectures • 02:27:00 total length •Module 01: Organisation Systems: 00:25:00 •Module 02: Ethics and Values in the Library Professions: 00:21:00 •Module 03: Library Networking: 00:17:00 •Module 04: Library as Infrastructure: 00:25:00 •Module 05: Finance and Budgeting: 00:17:00 •Module 06: Digital and Virtual Libraries: 00:19:00 •Module 07: Library Legislation: 00:23:00 •Assignment - Library and Information Science Course: 00:00:00

Overview The World Health Organisation has reported that globally, 1 in 3 women have experienced physical or sexual intimate partner violence or non-partner sexual violence in their lifetime. Domestic Violence and Abuse Awareness - Level 2 delves deeply into the intricacies of domestic abuse, exploring its facets, the impact on its victims, the legislative framework in the UK, and the proper ways to record and report incidents. Spread across eight strategically curated modules, this course provides an in-depth understanding of a pressing issue affecting society.The "Domestic Violence and Abuse Awareness - Level 2" course delves into the complexities of this societal menace, offering a comprehensive examination that goes beyond the surface. From introducing the basic tenets of domestic violence to exploring its implications on the younger populace. This course is designed to equip learners with a profound understanding of the subject.Take the next step in understanding and combatting domestic violence. Enrol now and be part of the change. 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 Domestic Violence and Abuse Awareness - Level 2. It is available to all students, of all academic backgrounds. Requirements Our Domestic Violence and Abuse Awareness - Level 2 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 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 3 sections • 10 lectures • 04:15:00 total length •Module 01: Introduction to Domestic Violence & Abuse: 00:28:00 •Module 02: The Components of Domestic Violence: 00:25:00 •Module 03: The Impact of Domestic Violence on Victims: 00:32:00 •Module 04: The Impact of Domestic Violence and Abuse on Children: 00:50:00 •Module 05: Assessing the Risks of Domestic Violence and Abuses on Children: 00:15:00 •Module 06: Supporting the Victim and Reporting Incidents: 00:31:00 •Module 07: Record Keeping: 00:19:00 •Module 08: Domestic Violence and Abuse Legislation in the UK: 00:15:00 •Mock Exam - Domestic Violence and Abuse Awareness: 00:20:00 •Final Exam - Domestic Violence and Abuse Awareness: 00:20:00

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up 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 Essentials 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 Python for Data Analysis using NumPy 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 Python for Data Analysis using Pandas 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 Python for Data Visualization using matplotlib 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 Python for Data Visualization using Seaborn 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 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks 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 Capstone Project - Python for Data Analysis & Visualization 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 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model 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 Python for Machine Learning - scikit-learn - Logistic Regression Model 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 Python for Machine Learning - scikit-learn - K Nearest Neighbors 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 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests 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 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) 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 Python for Machine Learning - scikit-learn - K Means Clustering 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 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) 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 Recommender Systems with Python - (Additional Topic) 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 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) 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 Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Overview This comprehensive course on Light Current Systems for Electrical Engineering will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Light Current Systems for Electrical Engineering comes with accredited certification from CPD, 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 Light Current Systems for Electrical Engineering. It is available to all students, of all academic backgrounds. Requirements Our Light Current Systems for Electrical Engineering 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more!   Course Curriculum 6 sections • 16 lectures • 04:17:00 total length •Module 1- Light Current Fire Alarm System Part 1: 00:17:00 •Module 2- Light Current Fire Alarm System Part 2: 00:15:00 •Module 3- Light Current Fire Alarm System Part 3: 00:18:00 •Module 4- Light Current Fire Alarm System Part 4: 00:17:00 •Module 5- Light Current Fire Alarm System Part 5: 00:17:00 •Module 6- Light Current Fire Alarm System Part 6: 00:17:00 •Module 1- Light Current MATV System Part 1: 00:14:00 •Module 2- Light Current MATV System Part 2: 00:17:00 •Module 3- Light Current Telephone System: 00:19:00 •Module 1- Light Current Data System Part 1: 00:15:00 •Module 2- Light Current Data System Part 2: 00:20:00 •Module 1- Light Current CCTV System Part 1: 00:14:00 •Module 2- Light Current CCTV System Part 2: 00:23:00 •Module 1- Light Current Sound System Part 1: 00:18:00 •Module 2- Light Current Sound System Part 2: 00:16:00 •Assignment -Light Current Systems for Electrical Engineering: 00:00:00

Overview This comprehensive course on Foundation in Emotional Intelligence will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Foundation in Emotional Intelligence comes with accredited certification from CPD, 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 Foundation in Emotional Intelligence. It is available to all students, of all academic backgrounds. Requirements Our Foundation in Emotional Intelligence 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 8 sections • 23 lectures • 01:08:00 total length •Introduction to Emotional Intelligence: 00:06:00 •Introduction to the Self-Perception Realm: 00:01:00 •Emotional Self-Awareness: 00:04:00 •Self-Regard: 00:03:00 •Self-Actualization: 00:07:00 •Introduction to the Interpersonal Realm: 00:01:00 •Interpersonal Relationships: 00:04:00 •Empathy: 00:03:00 •Social Responsibility: 00:03:00 •Introduction to the Self-Expression Realm: 00:01:00 •Assertiveness: 00:03:00 •Independence: 00:04:00 •Emotional Expression: 00:02:00 •Introduction to the Stress-Management Realm: 00:01:00 •Optimism: 00:03:00 •Stress Tolerance: 00:03:00 •Flexibility: 00:03:00 •Introduction to the Decision-Making Realm: 00:01:00 •Reality Testing: 00:04:00 •Impulse Control: 00:03:00 •Problem Solving: 00:04:00 •Happiness and General Well-Being: 00:04:00 •Resource - Foundation in Emotional Intelligence: 00:00:00

Overview This comprehensive course on Internet of Things Hacking will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Internet of Things Hacking comes with accredited certification from CPD, 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 Internet of Things Hacking. It is available to all students, of all academic backgrounds. Requirements Our Internet of Things Hacking 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 9 lectures • 03:37:00 total length •Module 01: IoT Part 1: 00:15:00 •Module 02: IoT Part 2: 00:19:00 •Module 03: IoT Hacking Tools and Technique: 00:35:00 •Module 04: IoT Hacking Tools and Technique Part 2: 00:30:00 •Module 05: IoT Scenario Part 1: 00:23:00 •Module 06: IoT Scenario Part 2: 00:25:00 •Module 07: Smart Devices: 00:33:00 •Module 08: AWS Basics: 00:37:00 •Assignment -Internet of Things Hacking: 00:00:00