17128 Other courses in Aberystwyth delivered Online

Duration 4 Days 24 CPD hours This course is intended for This course is the first in a series of two courses designed for programmers who are new to RPG IV. Basic programming experience is required. The student should have attended at least an introductory course to programming such as one of those available at technical colleges. The student is not taught the concepts of programming. Experienced programmers who are new to the Power System with IBM i should also attend this course. Examples of other programming languages are BASIC, COBOL, or RPG II. This course focuses entirely on the features of the RPG IV Version 7 compiler and the techniques that this compiler provides. Features of V7 are discussed. Previous techniques and the maintenance of programs that are written using legacy techniques, such as fixed format calculations, are not covered in the classroom. Some additional material and the bibliography will assist the new RPG IV programmer in the maintenance of legacy applications. Overview Write RPG IV version 7.1 programs to produce reportsWrite simple RPG IV version 7.1 inquiry programs that interact with displaysReview compilation listing, find and correct compilation errorsMaintain existing applications written in the RPG IV Version 7.1 languageUse many popular RPG IV built-in functions This course is a comprehensive exposure to the basic features and functions of RPG IV for Version 7. Course Outline RPG IV introduction Coding specifications for RPG IV Data representation and definition Manipulating data in calculations Using printer and display files in an RPG IV program Structured programming, error handling, subprocedures, and subroutines Using arrays, data structures, and data areas Accessing the DB2 database using RPG IV What's next? Additional course details: Nexus Humans AS06 IBM RPG IV Programming Fundamentals Workshop for IBM i training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the AS06 IBM RPG IV Programming Fundamentals Workshop for IBM i course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Free Level 4 QLS Endorsed Certificate | CPD Accredited | 120 CPD Points | Advanced Learning Materials | Lifetime Access

This Food Hygiene and Safety Training for Catering bundle delves into the science of food safety. You'll explore the biological hazards like bacteria, viruses, and parasites that can cause foodborne illness. Learn how to prevent contamination through proper food handling techniques, temperature control, and effective cleaning and sanitation protocols.

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We are offering you the following FREE courses:- Course 01: Career Development Coach Course Course 02: Resilience Training Course Course 03: Mental Health Care Course 04: Diploma in Performance Management Course This Advanced Diploma in Life Coaching at QLS Level 7 course is endorsed by The Quality Licence Scheme & accredited by CPD UK Quality Standard (with 250 CPD points) Life coaching functions similarly to a mentor. They encourage people and explain aspects of their lives where they could grow or view things differently. A life coach can help you do a variety of essential things better, much like a baseball coach can help you throw the ball better or swing the bat properly. Working as a life coach is a fulfilling way to serve others while also helping yourself. 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Earn a certificate endorsed by the Quality Licence Scheme and another certificate accredited by CPD QS after completing this course Get a Free Student ID Card with this training program (£10 postal charge will be applicable for international delivery) The course is Affordable and Simple to understand Get Lifetime Access to the course materials The training program comes with 24/7 Tutor Support 4 Free Gifts are included in this Life Coaching & Mentoring course Free courses will cover the following topics: Free Course 01: Career Development Coach An Overview of Career Coaching The Career Seeker Aspects of Coaching and Mentoring Ethical Introduction to Personal Development Coach Development of Personality Essential UK Employment Law Fundamental Qualities of a Coach Motivating Your Clients Setting Up as a Coach Effective Communication Skills Free Course 02: Resilience Training Resilience-Dealing with Adversity and Setbacks Pathways to Resilience The Pillars of Resilience Training for Resilience Promoting Emotional Resilience - CASMT Mental Toughness & Resilience Free Course 03: Mental Health Care Introduction to Mental Health Mental Health in the Workplace Mental Health Legislation and Services Community Mental Health Teams (CMHTs) The Participation of the Service User Problem Definition Preparing for Brainstorming Generating Solutions (I) Generating Solutions (II) Analyzing Solutions Selecting a Solution Planning Your Next Steps Recording Lessons Learned Free Course 04: Diploma in Performance Management The Basics Goal Setting Establishing Performance Goals 360-Degree Feedback Competency Assessments Kolb's Learning Cycle Motivation The Performance Journal Creating a Performance Plan Method of Assessment of Advanced Diploma of Life Coaching & Mentoring MCQ Based Passing Marks 60% Unlimited Retake Exam Instant Assessment and Feedback Certification of Advanced Diploma of Life Coaching & Mentoring Quality Licence Scheme (QLS) Endorsed Certificate CPD Accredited (CPD QS) Certificate Digital (PDF) & Hardcopy Certificates are available CPD 250 CPD hours / points Accredited by CPD Quality Standards Module 01: Life Coaching: The Purpose and Fundamentals 18:50 1: Introduction Video Preview 01:30 2: Life Coaching: The Purpose and Fundamentals Preview 17:20 Module 02: Coaching and Mentoring Models 27:16 3: Coaching and Mentoring Models Part - 01 14:25 4: Coaching and Mentoring Models Part - 02 12:51 Module 03: Motivating Your Clients 10:21 5: Motivating Your Clients 10:21 Module 04: The Coach/Client Relationship 10:08 6: The Coach/Client Relationship 10:08 Module 05: Develop Your Self-Awareness 18:32 7: Develop Your Self-Awareness 18:32 Module 06: The Development of Core Beliefs and Managing Fears 16:47 8: The Development of Core Beliefs and Managing Fears 16:47 Module 07: Life Coaching Types and Key Attributes of a Life Coach 23:59 9: Life Coaching Types and Key Attributes of a Life Coach 23:59 Module 08: Understanding Emotional Intelligence 16:37 10: Understanding Emotional Intelligence 16:37 Module 09: Basics of Spiritual Life Coaching 15:53 11: Basics of Spiritual Life Coaching 15:53 Module 10: Understanding Spiritual Life Coaching 22:07 12: Understanding Spiritual Life Coaching 22:07 Module 11: Self-Improvement 08:06 13: Self-Improvement 08:06 Module 12: Passion 10:01 14: Passion 10:01 Module 13: Personal Skills 11:00 15: Personal Skills 11:00 Module 14: Management Skills 10:41 16: Management Skills 10:41 Module 15: Understanding the Importance of Personal Finance 11:22 17: Understanding the Importance of Personal Finance 11:22 Module 16: Understanding Personal Money Management 11:55 18: Understanding Personal Money Management 11:55 Module 17: Managing Personal Insurance 09:24 19: Managing Personal Insurance 09:24 Module 18: Designing a Personal Budget 08:48 20: Designing a Personal Budget 08:48 Module 19: Money and Mental Health 08:28 21: Money and Mental Health 08:28 Module 20: A Structure for Client Work and Goal Setting 15:26 22: A Structure for Client Work and Goal Setting 15:26 Module 21: Basic Principles for Business Development and Growth 19:40 23: Basic Principles for Business Development and Growth 19:40 Module 22: The Ethical Coach: Protect Yourself and Your Clients 16:26 24: The Ethical Coach: Protect Yourself and Your Clients 16:26 Final Words 01:00 25: Final Words 01:00 Assessment (Optional) 03:00 26: ASSIGNMENT ON - ADVANCED DIPLOMA IN LIFE COACHING AT QLS LEVEL 7 03:00 Order Your Certificate 02:00 27: Order Your CPD Certificate 01:00 28: Order Your QLS Endorsed Certificate 01:00 Recommendations! 01:00 29: Take your career to the next level with HF Online! 01:00 Free Course No 01: Career Development Coach 2:54:13 30: Module 01: An Overview of Career Coaching 16:13 31: Module 02: The Career Seeker 13:41 32: Module 03: Aspects of Coaching and Mentoring Ethical 15:25 33: Module 04: Introduction to Personal Development Coach 11:22 34: Module 05: Development of Personality 17:23 35: Module 06: Essential UK Employment Law 25:35 36: Module 07: Fundamental Qualities of a Coach 34:01 37: Module 08: Motivating Your Clients 11:42 38: Module 09: Setting Up as a Coach 15:18 39: Module 10: Effective Communication Skills 13:33 Free Course No 02: Resilience Training 1:52:01 40: Module 01: Resilience - Dealing with Adversity and Setbacks 12:12 41: Module 02: Pathways to Resilience 23:20 42: Module 03: The Pillars of Resilience 23:14 43: Module 04: Training for Resilience 22:35 44: Module 05: Promoting Emotional Resilience - CASMT 17:27 45: Module 06: Mental Toughness & Resilience 13:13 Free Course No 03: Mental Health Care 1:51:00 46: Module 01: Introduction to Mental Health 12:29 47: Module 02: Mental Health in the Workplace 13:38 48: Module 03: Mental Health Legislation and Services 18:07 49: Module 04: Community Mental Health Teams (CMHTs) 11:42 50: Module 05: The Participation of the Service User 12:42 51: Module 06: Problem Definition 06:34 52: Module 07: Preparing for Brainstorming 06:52 53: Module 08: Generating Solutions (I) 06:36 54: Module 09: Generating Solutions (II) 07:05 55: Module 10: Analyzing Solutions 05:19 56: Module 11: Selecting a Solution 04:34 57: Module 12: Planning Your Next Steps 02:44 58: Module 13: Recording Lessons Learned 02:38 Free Course No 04: Diploma in Performance Management 36:11 59: Module 01: The Basics (I) 05:53 60: Module 02: The Basics (II) 05:38 61: Module 03: Goal Setting 03:55 62: Module 04: Establishing Performance Goals 03:38 63: Module 05: 360 Degree Feedback 02:31 64: Module 06: Competency Assessments 02:39 65: Module 07: Kolb's Learning Cycle 02:09 66: Module 08: Motivation 03:17 67: Module 09: The Performance Journal 03:08 68: Module 10: Creating a Performance Plan 03:23 Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for you, if you: Wish to work as a life coach effectively. Wish to expand your knowledge and resources as a life coach. Want to add life coaching to the list of services you already provide as a counsellor, therapist, teacher, speaker, author, or other professional. Wish to become more knowledgeable about and comprehend the life coaching and mentoring sector. Desire a step-by-step system and effective instruments with outcomes that can be verified. Wish to increase your stature and self-assurance as a life coach. Requirements Students from all educational backgrounds are welcome to enrol in this Life Coaching & Mentoring course, which has no academic entry requirements. Career path After completing this Life Coaching & Mentoring course, you can explore trendy and in-demand jobs related to this course, such as: Life Coach - £25,000 to £50,000 Career Coach - £30,000 to £60,000 Executive Coach - £50,000 to £100,000 Health and Wellness Coach - £25,000 to £45,000 Business Coach - £35,000 to £70,000 Relationship Coach - £30,000 to £50,000 Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. Advanced Diploma in Life Coaching at QLS Level 7 Hard copy certificate - £139 Show off Your New Skills with a Certificate of Completion Endorsed Certificate of Achievement from the Quality Licence Scheme After successfully completing the Advanced Diploma in Life Coaching at QLS Level7, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 139 GBP inside the UK 149 GBP (including postal fees) for International Delivery Certificate Accredited by CPD QS Upon finishing the Life Coaching course, you need to order to receive aCertificate Accredited by CPD QS that is accepted all over the UK and also internationally. The pricing schemes are: 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (International Delivery)

Trade barriers are going up across the globe. And cybercrime is on the increase. The link between the two? The value of trade secrets. As countries become increasingly protectionist as regards international trade, so their IP law has been changing, with the result that companies that previously would have sought protection through patents are opting to go down the trade secret route instead. But is this a high-risk strategy? Technology is changing and this is having an impact on forms of commercial co-operation. Collaborative or open forms of innovation by their very nature involve the sharing of intellectual property (IP), and in many instances this IP is in the form of valuable confidential business information (ie, trade secrets). Little surprise, then, that trade secrets disputes have increased accordingly. At the same time, the changes in technology make trade secrets more vulnerable to attack, misappropriation, theft. So just how effective are the legal protections for trade secrets? How can organisations safeguard the value in their IP (increasingly, the single biggest line in their balance sheets)? This programme is designed to help you address these issues. Note: this is an indicative agenda, to be used as a starting point for a conversation between client and consultant, depending on the organisation's specific situation and requirements. This session is designed to give you a deeper understanding of: Emerging trends in trade secrets protection and exploitation The current situation in key jurisdictions Recent case law How leading companies are responding The importance of trade secret metadata Different external stakeholders and their interests Key steps for effective protection of trade secrets Note: this is an indicative agenda, to be used as a starting point for a conversation between client and consultant, depending on the organisation's specific situation and requirements. 1 What are trade secrets? Definitions Examples Comparison with other forms of IP (patents, confidential information, know-how, copyright) 2 Current trends The various changes taking place affecting trade secrets - legal changes, trade wars, cybercrime, technology, commercial practice The current position in the UK, Europe, USA, China, Japan, Russia Corporate best practice 3 Trade secret disputes - how to avoid them Trade secret policies, processes and systems Administrative, legal and technical protection mechanisms The role of employees The sharing of trade secrets with others 4 Trade secret disputes - how to manage them Causes Anatomy of a trade secret court case 'Reasonable particularity' 5 Related issues Insurance Tax authorities and investigations Investor relations 6 Trade secret asset management roadmap Maturity ladder First steps Pilot projects

Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python 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 Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python 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 Data Science & Machine Learning with Python 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 Data Science & Machine Learning with Python. 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 Data Science & Machine Learning with Python 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 Data Science & Machine Learning with Python 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 You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python 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 Data Science & Machine Learning with Python 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 Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Data Science & Machine Learning with Python 00:00:00

Duration 1 Days 6 CPD hours This course is intended for This course is intended for people who have a basic understanding of Microsoft© Outlook© and want to know how to use its advanced features to manage their email communications, calendar events, contact information, search functions, and other communication tasks. Overview In this course, you will use Outlook?s advanced features to customize and manage your email communications, including using advanced features to organize emails; managing calendar settings and options; managing contact information; scheduling tasks; and managing Outlook archives and data file settings. You will: Insert objects in messages, and modify properties and global options. Organize, search, and manage messages. Protect your mailbox and manage its size. Use rules and Quick Steps to automate message management. Work with advanced calendar settings. Import and forward contacts. Assign delegate permissions and share Outlook items with others. Archive and back up Outlook items using data files. In this course, you will customize command sets, configure mail accounts, set global options, perform advanced searches, apply filters to intercept mail and control spam, create rules to automate mail management tasks, work with calendars and contacts, manage tasks, preserve data with archives and data files, as well as share and delegate access to your Outlook items. In short, you'll work with a wide range of features and options and, in so doing, understand why Outlook is a leading personal management system.This course builds upon the foundational knowledge presented in the Microsoft© Outlook© for Office 365? (Desktop or Online): Part 1 course and will help you customize a communication system well-suited to your work style.This course covers Microsoft Office Specialist Program exam objectives to help you prepare for the Outlook Associate (Office 365 and Office 2019): Exam MO-400 . Modifying Message Properties and Customizing Outlook Topic A: Insert Hyperlinks and Symbols Topic B: Modify Message Properties Topic C: Add Email Accounts to Outlook Topic D: Customize Outlook Options Organizing, Searching, and Managing Messages Topic A: Group and Sort Messages Topic B: Filter and Manage Messages Topic C: Search Outlook Items Managing Your Mailbox Topic A: Manage Junk Email Options Topic B: Manage Your Mailbox Size Automating Message Management Topic A: Use Automatic Replies Topic B: Use Rules to Organize Messages Topic C: Create and Use Quick Steps Working with Calendar Settings Topic A: Set Advanced Calendar Options Topic B: Create and Manage Additional Calendars Topic C: Manage Meeting Responses Managing Contacts Topic A: Import and Export Contacts Topic B: Use Electronic Business Cards Topic C: Forward Contacts Sharing Outlook Items Topic A: Assign and Manage Tasks Topic B: Share Your Calendar Topic C: Share Your Contacts Managing Outlook Data Files Topic A: Use Archiving to Manage Mailbox Size Topic B: Work with Outlook Data Files

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