1531 Summary courses in Cardiff delivered Online

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Nutrition Training - Advanced Diet & Meal Planning Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Nutrition Training - Advanced Diet & Meal Planning Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Nutrition Training - Advanced Diet & Meal Planning Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Nutrition Training - Advanced Diet & Meal Planning Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Nutrition Training - Advanced Diet & Meal Planning? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Nutrition Training - Advanced Diet & Meal Planning there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Nutrition Training - Advanced Diet & Meal Planning course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Nutrition Training - Advanced Diet & Meal Planning does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Nutrition Training - Advanced Diet & Meal Planning 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. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Nutrition Training - Advanced Diet & Meal Planning is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction Course overview 00:04:00 Get to know your instructor 00:02:00 Section 02: The Nutrition Fundamentals Recap intro 00:01:00 Nutrition priorities 00:04:00 Calories Summary 00:04:00 Macronutrient summary 00:20:00 Meal timing summary 00:09:00 Food Quality & Composition summary 00:05:00 Supplements summary 00:06:00 Meal planning recap 00:09:00 Section 03: Advanced Dieting Theory Advanced Nutrition Theory Introduction 00:02:00 The Factors That Influence Energy Expenditure 00:09:00 Protein 00:03:00 Amino Acids 00:04:00 Protein & Energy (De Novo Glucogenesis) 00:02:00 Carbohydrates 00:03:00 Glucose & Glycogen 00:03:00 Carbs & Energy (Glycolysis) 00:03:00 Fat 00:03:00 Essential Fatty Acids (Omega 3 & Omega 6) 00:07:00 Fat & Energy (Lipolysis) 00:02:00 The 4th Macronutrient: Alcohol 00:05:00 Section 04: Advanced Dieting For Fat Loss Advanced Fat Loss Introduction 00:01:00 Should I build muscle or lose fat first? 00:06:00 The Different Phases Of A Fat Loss Diet 00:08:00 The Settling Point Theory Explained 00:06:00 How To Reverse Diet 00:05:00 How To Set Up A Refeed Day 00:04:00 The Best Strategies And Supplements To Reduce Hunger 00:08:00 The Different Stages Of Fitness Transformations 00:07:00 PSMF: The Science-Based Crash Diet That Works 00:07:00 How To Get Six Pack Abs (Step-By-Step) 00:15:00 Can You Break Your Metabolism? 00:03:00 Section 05: Advanced Dieting For Muscle Growth Advanced Dieting For Muscle Growth Introduction 00:01:00 The Muscle Growth Priorities 00:05:00 The Different Types Of Bulks 00:02:00 Step By Step Dirty Bulk 00:08:00 Step By Step Regular Bulk 00:07:00 Step By Step Lean Bulk 00:03:00 The Difference Between Fitness Diets & Health Diets 00:04:00 Intra Workout Carbs 00:04:00 Section 06: Popular Diets Explained The 'One True Diet' Fallacy 00:03:00 The Naturalistic Fallacy 00:03:00 The Perfect Nutrient Fallacy 00:02:00 Pros & Cons Of High Carb Diets 00:03:00 Pros & Cons Of Low Carb Diets 00:04:00 Pros & Cons Of Moderate Carb, Moderate Fat Diets 00:02:00 The Blood Type Diet 00:04:00 Carb Cycling 00:04:00 Section 07: Dieting & Disease Prevention Dieting & Diseases Introduction 00:01:00 The Right Diet To Avoid Acid Reflux 00:05:00 The Right Diet For Constipation 00:04:00 The Right Diet To Avoid Diabetes 00:08:00 Leaky Gut Syndrome 00:05:00 Section 08: FAQ Diet vs Exercise: Which Is More Important 00:03:00 HCG diet 00:03:00 Is Fructose Bad For You? 00:04:00 Should You Separate Carbs And Protein? 00:04:00

This course is aimed at those who would like to work as a learning support assistant in a school or further education setting. Level 3 Certificate in Supporting Teaching and Learning will give you an understanding of the skills and knowledge needed to support learners in the classroom.

Use the in-demand Linux skills you learn in this course to get promoted or start a new career as a Linux System Admin.

Quality Guarantee: Promising training excellence, satisfaction gurantee Accredited by CPD UK & Quality License Scheme Tutor Support Unlimited support via email, till you complete the course Recognised Certification: Accepted by thousands of professional bodies Start Anytime With 1 year access to the course materials Online Learning Learn from anywhere, whenever you want Why MCSA Windows Server 2016 (70-740) Course right for you? Whether you are self-taught or you want to fill in the gaps for better efficiency and productivity, this MCSA Windows Server 2016 (70-740) course will set you up with a solid foundation to become a confident networking engineer and develop more advanced skills. This comprehensive MCSA Windows Server 2016 (70-740) course is the perfect way to kickstart your career in the field of Windows servers and networking. This course will give you a competitive advantage in your career, making you stand out from all other applicants and employees. As one of the leading course providers and most renowned e-learning specialists online, we're dedicated to giving you the best educational experience possible. This course is crafted by industry experts, to enable you to learn quickly and efficiently and at your own pace and convenience. MCSA Windows Server 2016 (70-740) Course Details Accredited by CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field.   The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Course Curriculum Introduction to the MCSA (70-740) Course What You Will Be Learning in This Course Installing Windows Server 2016 Part 1 Features and Advantages of Windows Server 2016 Planning Windows Server 2016 Installation Migrating Roles and Features to Server 2016 What Version of Windows Server 2016 Should I Use Deciding on the Type of Installation Summary of Section Installing Windows Server 2016 Part 2 Installing with the Desktop Experience Installing Windows Server 2016 Server Core Installing Windows Nano Server Summary of Section Activating and Servicing Windows Activating Windows Server 2016 Using VMAT Activating Windows Server 2016 Using KMS Automatic Virtual Machine Activation AD Based Activation Summary of Section Understanding Deployment Options Automated Deployment Options Overview of Microsoft Toolkit Overview of Unattended Installations Advantages/Disadvantages of Unattended Installations Summary of Section Virtualization in 2016 Understanding Hyper V Understanding Virtualization Configuring Permissions and Disk Quotas Understanding NTFS Understanding FAT 32 Understanding Disk Quotas Updating Windows Server Updates Updating Your Windows Windows Server Update Services Configuring a WSUS Server Monitoring and Analyzing Windows Server 2016 Overview of Performance Monitor Using the Performance Monitor Other Monitoring Tools Understanding Backups Backup Server Utility Who should take this course? This comprehensive MCSA Windows Server 2016 (70-740) course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of Windows servers and networking. Entry Requirements There are no academic entry requirements for this MCSA Windows Server 2016 (70-740) course, and it is open to students of all academic backgrounds. As long as you are aged seventeen or over and have a basic grasp of English, numeracy and ICT, you will be eligible to enrol. Assessment Method On successful completion of the course, you will be required to sit an online multiple-choice assessment. The assessment will be evaluated automatically and the results will be given to you immediately. Certification Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

Course Objectives At the end of this course you will be able to: Identify the components of the Microsoft Project environment Create a new project plan Create the project schedule Use different views to analyse the project plan Create, allocate and manage resources in a project plan Finalise a project plan Track progress View and report project plan information ' 1 year email support service Customer Feedback Very good course. Learnt a lot. Looking forward to the next level. Alexandra - CIAL ' 1 year email support service Take a closer look at the consistent excellent feedback from our growing corporate clients visiting our site ms-officetraining co uk With more than 20 years experience, we deliver courses on all levels of the Desktop version of Microsoft Office and Office 365; ranging from Beginner, Intermediate, Advanced to the VBA level. Our trainers are Microsoft certified professionals with a proven track record with several years experience in delivering public, one to one, tailored and bespoke courses. Our competitive rates start from £550.00 per day of training Tailored training courses: You can choose to run the course exactly as they are outlined by us or we can customise it so that it meets your specific needs. A tailored or bespoke course will follow the standard outline but may be adapted to your specific organisational needs. Introduction to Microsoft Project Recap on project management concepts Project environment overview The 3 databases: Tasks, Resources and Assignments Different ways of displaying the Project Plan Access Help Creating a Project Plan Create a New Project Plan Project Information Create and apply the project calendar Defining recurring exceptions to the calendar Defining the calendar's work weeks Create the Summary tasks Create the Work Breakdown Structure Task creation and scheduling Exploring the Entry Table and its fields Task editing and the Task Information window Task Durations Defining Milestones Manual Scheduling vs Automatic Scheduling Changing the Task's Calendar Create a split in a Task Create Task Relationships Adding Lag or Lead to a Relationship Identifying the Critical Path Adding Constraints and Deadlines to Tasks Create Recurring Activities Adding Notes and links to Tasks Managing Resources Exploring the Entry Table and its fields Resource editing and the Resource Information window Resource Types Fixed Costs vs Variable Costs Adding Resource Costs Defining when costs accrue Changing the Resource Calendar and Availability Project calendar vs Resource and Task Calendar Assigning Resources to Tasks Effort Driven Scheduling Resolving Resource Overallocation Tracking the Project Progress Setting a Project Baseline Entering Actuals Different ways of viewing the Progress Checking if the Project is on track Viewing and Reporting Project Detail Adding Tasks to the Timeline and sharing it Modifying the Timescale and Zoom level Formatting the Gantt View Filtering and Grouping Tasks Print and Troubleshoot the Gantt View Using built-in Reports in Microsoft Project Who is this course for? Who is this course for? This course is designed for a person who has an understanding of project management concepts, who is responsible for creating and modifying project plans, and who needs a tool to manage these project plans. Requirements Requirements General knowledge of the Windows OS Career path Career path Microsoft Office know-how can instantly increase your job prospects as well as your salary. 80 percent of job openings require spreadsheet and word-processing software skills Certificates Certificates Certificate of completion Digital certificate - Included

Duration 1 Days 6 CPD hours This course is intended for A Dynamics 365 Customer Engagement Functional Consultant is responsible for performing discovery, capturing requirements, engaging subject matter experts and stakeholders, translating requirements, and configuring the solution and applications. The Functional Consultant implements a solution using out of the box capabilities, codeless extensibility, application and service integrations. Overview After completing this course, you will be able to: Install and configure the application Identify common sales scenarios Complete a sales cycle Configure product catalog Manage customer records Utilize analytics tools with customer data Microsoft Dynamics 365 for Sales is an end-to-end application to manage the handling of customers and potential customers; tracking data against sales goals, automating your best practices, learning from your data and more. Sales Overview Sales overview Configuring Sales Module summary Working with Opportunities Manage customers Working with opportunities Embedded intelligence Playbooks Integrated sales tools Module summary Quotes to Orders Order processing overview Manage product catalog Create and manage quotes Create and manage orders and invoices Module summary Sales Analytics and Insights Overview Power BI AI for Sales Modules summary Additional course details: Nexus Humans MB-210T01 Dynamics 365 for Customer Engagement for Sales 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 MB-210T01 Dynamics 365 for Customer Engagement for Sales 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.

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

Data modelling and visualisation skills are in demand! Create Interactive Reports and Dashboards.

Overview This comprehensive course on IELTS Reading Academic Masterclass will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This IELTS Reading Academic Masterclass 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 IELTS Reading Academic Masterclass. It is available to all students, of all academic backgrounds. Requirements Our IELTS Reading Academic Masterclass 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 6 sections • 47 lectures • 17:15:00 total length •Welcome Aboard: 00:09:00 •Fundamentals: 00:33:00 •Types of Questions: 00:24:00 •How to Answer Fill-in-the Blank Questions: 00:30:00 •Fill-in-the-Blank: Practice Set 1: 00:24:00 •Fill-in-the-Blank: Practice Set 2: 00:22:00 •How to Answer Short Answer Questions: 00:24:00 •Short Answer: Practice Set 1: 00:29:00 •Short Answer: Practice Set 2: 00:24:00 •How to Answer Yes/No/Not Given Questions: 00:27:00 •Yes/No/Not Given: Practice Set 1: 00:34:00 •Yes/No/Not Given: Practice Set 2: 00:31:00 •Multiple Choice: Practice Set 1: 00:19:00 •Multiple Choice: Practice Set 2: 00:21:00 •How to Answer Sentence Completion Questions: 00:18:00 •Sentence Completion: Practice Set 1: 00:14:00 •Sentence Completion: Practice Set 2: 00:17:00 •How to Answer Table Questions: 00:25:00 •Table: Practice Set 1: 00:16:00 •Table: Practice Set 2: 00:30:00 •How to Answer Diagram Questions: 00:22:00 •Diagram: Practice Set 1: 00:17:00 •Diagram: Practice Set 2: 00:12:00 •How to Answer Flowchart Questions: 00:16:00 •Flowchart: Practice Set 1: 00:20:00 •Flowchart: Practice Set 2: 00:29:00 •How to Answer Summary Questions: 00:26:00 •How to Answer Multiple Choice Questions: 00:18:00 •Summary: Practice Set 1: 00:27:00 •Summary: Practice Set 2: 00:27:00 •How to Answer Matching Questions: 00:21:00 •Matching: Practice Set 1: 00:17:00 •Matching: Practice Set 2: 00:24:00 •How to Answer Paragraph Location Questions: 00:18:00 •Paragraph Location: Practice Set 1: 00:29:00 •Paragraph Location: Practice Set 2: 00:21:00 •How to Answer Headings Questions: 00:23:00 •Headings: Practice Set 1: 00:22:00 •Headings: Practice Set 2: 00:18:00 •How to Answer Pick from List Questions: 00:29:00 •Pick From List: Practice Set 1: 00:16:00 •Pick From List: Practice Set 2: 00:27:00 •Full Reading Test - Passage 1: 00:36:00 •Full Reading Test - Passage 2: 00:36:00 •Full Reading Test - Passage 3: 00:02:00 •Final Tips: 00:11:00 •Assignment - IELTS Reading Academic Masterclass: 00:00:00

Effective Presentation Skills (On-Demand) Regardless of your role, it's important to know how to synthesize your ideas into a coherent and focused narrative, add visuals that support and reinforce your message, and deliver it in a way that resonates with your audience. In this highly interactive course, we will unpack and practice some of the tools and techniques used by top speakers and influencers all over the world. In today's results-oriented, global working environment, the ability to create and deliver presentations effectively is a necessary skill set for people at all levels of an organization. Regardless of your role, it's important to know how to synthesize your ideas into a coherent and focused narrative, add visuals that support and reinforce your message, and deliver it in a way that resonates with your audience. In this highly interactive course, we will unpack and practice some of the tools and techniques used by top speakers and influencers all over the world. In this engaging two-day course, you will plan, write, refine, practice, and deliver a presentation to the class. Your presentation will be filmed on both days, and you will leave the course with a flash drive copy of your videos. (ONLY AVAILABLE for Traditional and Virtual Classes) In addition to discovering and enhancing your own personal delivery style, you will learn how to create an overarching goal for your presentation and then organize and structure it for maximum impact. What you will Learn At the end of this program, you will be able to: Construct an effective presentation goal statement, opening, body, and closing that connect with an audience Analyze an audience's needs and style preferences, including relevant DiSC®-related elements Deliver a complete criteria-based presentation that will persuade others Align usage of visuals as well as verbal and non-verbal techniques to maximize the impact of your presentation Getting Started Introductions and social agreements Course structure Course goals and objectives Opening activities Planning and Organizing Video: 'The Art of Misdirection' Setting your presentation goal Writing a goal statement Analyzing your audience Applying the 'reality' test Creating and strengthening supports Structuring your presentation 5 components of an effective opening Presentation body Presentation closing Write your presentation opening Audience Analysis Video: 'How to Tie Your Shoes' Everything DiSC® introduction Audience DiSC® Styles Analyzing your audience Further audience analysis Effective Delivery Delivery challenges and in-person Keeping your audience engaged Your body as your instrument Verbal / paraverbal elements Body stance and nonverbal communication What are your 'tells?' Controlling nervousness Staying attuned to your audience Responding to questions Review and edit your opening Deliver your opening Visuals and Enriching Elements Using images in your presentation Guidelines for visual composition Using questions to engage your audience The power of the pause Practicing and Applying What You've Learned Preparation Delivery Feedback Opportunity to put into practice the program content and receive a video copy Summary and Next Steps What did we learn and how can we implement this in our work environment? Your personal action plan