Overview of Industrial and Organisational Psychology Join our Industrial and Organisational Psychology course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Industrial and Organisational Psychology course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Industrial and Organisational Psychology course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Industrial and Organisational Psychology Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Industrial and Organisational Psychology. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Industrial and Organisational Psychology course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Industrial and Organisational Psychology is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Industrial and Organisational Psychology course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Industrial and Organisational Psychology Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Introduction To I/O Psychology & Basic Theories Introduction 00:01:00 What is I/O Psychology? 00:10:00 The Big 5 Personality Trait Model 00:04:00 Maslow's Hierarchy of Needs 00:05:00 Roles Of I/O Psychologists Employee Motivation 00:05:00 Job Analysis 00:06:00 Building Leadership & Training 00:07:00 Workplace diversity 00:04:00 Product Design 00:05:00 Improving Workplace Performance 00:07:00 Ergonomics 00:03:00 Examples of Lean Tools 00:04:00 Ergonomics Part 2 00:04:00 Popular Jobs Opportunities In I/O Psychology HR Management 00:10:00 Workforce Insight Analyst 00:09:00 Business Development Consultant 00:05:00 Organizational Effectiveness Manager 00:10:00 Executive Coach 00:06:00 Internal External Business Consultant 00:20:00 Team Development Manager 00:14:00 Change Manager 00:07:00 Strategy Development Manager 00:11:00 Recruitment Manager 00:10:00 Behavioral Analyst 00:02:00 Policy Officer 00:09:00 Engineering Psychologist 00:06:00 Difference between IO and Business Psychology 00:02:00 Is IO Psychology for you? 00:03:00
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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
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Ideal for beginners, the Complete Java Developer Course: From Beginner to Master is designed to get you coding in Java as quickly and confidently as possible. You will learn all the theory behind the code, while also building some exciting portfolio projects such as Mad Libs clone, tic-tac-toe, and more.
This course has been put together specifically for people working in the oil industry, to learn how to go about finding new work. The course covers the activities that you should do to best position yourself to find new work. How to identify the companies that most suit your skills, how to see what skills they might need in the future, how to build trust with the people there and how to approach them to optimise your chance of being successful.
Learn to build a complete Arduino project using a keypad, LCD, ultrasonic sensor, LDR sensor, and a buzzer
Delve into the dynamic world of digital exploration with our 'Introduction to Computers and Internet for Beginners' course. Tailored for newcomers, this comprehensive guide illuminates the fundamental pillars of computing, from efficient operating and troubleshooting to mastering quintessential applications. Experience a smooth transition as you acquaint yourself with varying Windows versions and fortify your knowledge base with vital cyber security protocols. By course completion, you'll confidently navigate the digital landscape, equipped with tools and understanding previously unimagined. Learning Outcomes Gain proficiency in computer operations and troubleshooting techniques. Utilise essential computer applications with adeptness. Establish a foundational understanding of tools and networking. Transition seamlessly between Windows 8 and the novel features of Windows 10. Uphold best practices for cyber security and online safety. Why choose this Introduction to Computers and Internet for Beginners course? 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 Introduction to Computers and Internet for Beginners 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 Introduction to Computers and Internet for Beginners course for? Absolute beginners venturing into the digital domain. Adults aiming to modernise their tech skills. Students desiring a robust foundation in computing. Small business owners looking to manage digital operations. Individuals prioritising online safety and security. Career path Help Desk Support: £18,000 - £30,000 Computer Technician: £17,000 - £26,000 IT Support Specialist: £20,000 - £35,000 Network Administrator (Entry Level): £22,000 - £33,000 Application Support Analyst: £25,000 - £40,000 Cyber Security Analyst (Entry Level): £28,000 - £45,000 Prerequisites This Introduction to Computers and Internet for Beginners does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Introduction to Computers and Internet for Beginners 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 Module 01 : Computer Operating and Troubleshooting What is an Operating System 00:48:00 Configuring the Operating System 00:06:00 What is an Application 00:10:00 Using Control Panel 00:18:00 Hardware and Peripherals 00:07:00 Storage 00:12:00 Connectivity Devices 00:05:00 Network Components 00:09:00 Software and Concepts 00:11:00 Licensing 00:06:00 Using Software 00:07:00 Software Tools 00:10:00 Software 00:14:00 Hardware, Devices, and Peripherals 00:06:00 Backup and Restore 00:03:00 Module 02 : Key Applications Application Features 01:21:00 Working with Word Processing 00:44:00 Working with Spreadsheets 00:49:00 Making a Presentation 01:08:00 Databases 00:34:00 Collaboration 00:03:00 Module 03 : Tools & Networking Course Introduction 00:02:00 Web Browsers 00:47:00 Networking Terminology 00:35:00 E-mail 00:38:00 Communicating in the Modern World 00:14:00 Protecting Yourself 00:15:00 Web Searching 00:31:00 Protecting Yourself 00:31:00 Module 04 : Windows 8 for PC Identify Components of a Personal Computer IPU 00:08:00 Sign In to Windows 8 00:07:00 Signing In to Windows 8 and Managing Tiles 00:08:00 Navigate the Start Screen 00:18:00 Using the Account ID Menu 00:02:00 Access and Identify the Charms 00:03:00 Viewing the Charms 00:02:00 Modern Apps and Common Navigation Features 00:03:00 Navigating a Modern App 00:07:00 Multitasking with Apps 00:05:00 Working with Multiple Apps 00:05:00 Navigate the Desktop IPU 00:07:00 Navigating The desktop 00:07:00 Manage Files and Folders with File Explorer IPU 00:09:00 Managing Files and Folders 00:15:00 Elements of a Desktop Window 00:12:00 Working with the Elements of a Desktop Window 00:10:00 Creating and Modifying Files with Wordpad 00:14:00 Printing a Document 00:05:00 Navigate Internet Explorer 10 00:08:00 Navigating Internet Explorer 10 00:09:00 Browse the Web 00:12:00 Using Internet Explorer and Share 00:08:00 Customize the Start Screen 00:07:00 Creating Groups on the Start Screen 00:03:00 Changing PC Setting 00:07:00 Customize the Desktop IPU 00:09:00 Personalizing the Desktop 00:11:00 Set Privacy Levels and Passwords 00:05:00 Changing Your Password 00:05:00 Use Windows Defender IPU 00:05:00 Changing Windows Defender Settings 00:06:00 Store and Share Files with SkyDrive 00:03:00 Module 05 : Windows 10 - New Developments What Makes Windows 10 Different? 00:14:00 Primary Feature Overview 00:14:00 Navigating and Using Windows 10 00:36:00 Module 06 : Cyber Security Awareness Course Overview 00:14:00 Types of Security Threats 00:29:00 Social Engineering 00:30:00 Identity Theft 00:29:00 Data Classification 00:28:00 Types of Classifications 00:18:00 Protecting Your Digital Information 00:45:00 Password Management 00:13:00 Malware 00:17:00 Software Detection 00:28:00 Security from End-to-End 00:27:00 Secure E-mail Use 00:21:00 Secure Web Browsing 00:29:00 Piracy 00:16:00 Security Policies 00:17:00 Moving Forward 00:12:00