1165 Summary courses in Cardiff delivered On Demand

Develop your desired website more smartly with TodoMVC. This comprehensive Building a TodoMVC Application with Vue, React and

Get ready to tackle one of the most exciting and prominent features of the Go language with the help of this comprehensive course. If you are looking forward to getting started with advanced topics such as concurrency and levelling up your Go(lang) skills, then you are in the right place.

This course helps you to understand the concepts of the AWS Cloud and covers all the fundamental topics of AWS, such as core services, security essentials, architecting essentials, and pricing essentials.

What Will I Learn? You will learn how to make a healthy Breakfast You will learn how to make healthy treats You will learn how to make a tasty hot lunch You will learn how your body works. You will learn how what it takes to stay healthy! Description Learn general health and vegetarian cooking for children ages 7 to 12. This course consists of videos with cooking demonstrations by Jordan Poch, a 12-year-old who loves to share with other kids (as seen on TV), and lessons from the e-book 'My Health, My Body' by Angela Poch, N.C. Written for kids ages 7 to 12, it is a great tool for teaching healthful living to children. It covers how the body works, why you need exercise, how to have a healthy diet, fresh air, and all you need to stay healthy. Comes with printable lessons and answer key! Great for homeschoolers! Who is the target audience? Beginners aged 7 to 12 Inflammation Basics Introduction FREE 00:03:00 What is Inflammation? FREE 00:04:00 Chronic vs Acute Inflammation FREE 00:02:00 What Causes Inflammation 00:03:00 How To Reduce Inflammation With A Healthy Lifestyle Stress Management 00:03:00 Watch Your Weight 00:01:00 Fight Back With Exercise 00:02:00 Issues With Smoking & Alcohol 00:03:00 Fighting Inflammation With Diet & Nutrition Sugar and Refined Carbs 00:03:00 Nightshades and Food Allergies 00:03:00 Saturated Fats, Processed Foods, and More 00:06:00 Foods that Fight Inflammation - Part 1: Fruits 00:04:00 Foods that Fight Inflammation - Part 2: Veggies 00:03:00 Foods that Fight Inflammation - Part 3: Whole Grains 00:02:00 Reducing Inflammation With Omega 3 00:03:00 Supplements - Vitamin D, Herbs, and more 00:05:00 Recipes for Reducing Inflammation and Disease Prevention 13 Lectures Using Your New Cookbook 00:02:00 Creamy Garlic Sauce 00:02:00 Nightshade Free Lasagna 00:05:00 Sweet Potato Crepes 00:15:00 Bean & Quinoa Burgers 00:09:00 Veggie Gravy 00:00:00 Walnut Dressing 00:03:00 Zesty Sprinkles 00:03:00 Avocado & Green Olive Penne 00:05:00 Brown Rice Tortillas 00:05:00 Quinoa Flat Bread 00:04:00 Blackberry Scones 00:05:00 Summary & Other Resources Summary 00:02:00 Nutrition 2 Fight Inflammation-Handouts Nutrition 2 Fight Inflammation-Handouts 00:00:00

Do you want to set challenging, appropriate and strategic goals? Joining this SMARTERS Approach to Setting & Achieving All Your Goals will teach you all the skills, tools and strategies you need to set and achieve all your goals and those you set both with and for others. The course is designed to address any goal, be it big or small and ensure you have considered and planned for all eventualities. Through the course, you will understand the importance of a structured approach to setting goals, understand the importance and impact of setting goals that are challenging, understand and recognize that goals should sit within a wider; short, medium and long-term strategic framework/environment, and much more! By the end of this course, you will be a SMARTER ultimate goal setter and more important goal achiever if you constantly seek new opportunities and experiences. What you'll learn To understand the importance of a structured approach to setting goals To undertake activities covering the eight stages of SMARTER goal setting To determine how your individual and wider goals should be approached To appreciate the benefits of regular goal review and reappraisal To understand the importance and impact of setting goals that are challenging To appreciate the impact of others on your goals To understand and recognize that goals should sit within a wider; short, medium and long-term strategic framework/environment Requirements for each of the SMARTER videos there is an associated activity, so you will need some way of downloading each activity, or completing it 'on screen' To get the best out of this course you should have a goal, or goals in mind and use this when you undertake the activities that are associated with each video. By doing this you can set this course in 'the real world' and as it directly relates to your own unique situation and environment. R is for Relevant Introduction FREE 00:03:00 Why set goals 00:03:00 S for Specific S is for Specific 00:02:00 M is for Measurable M is for Measurable 00:04:00 A is for Achievable / Attainable A is for Achievable Attainable 00:02:00 Setting the scene R is for Relevant 00:03:00 T is for Timely / Time-bound T is for Timely,Time-bound 00:03:00 E is for Evaluate / Ethical / Extending E is for Evaluate, Ethical, Extending 00:02:00 R is for Re-evaluate or Rewarding R is for Re-evaluate, Rewarding 00:04:00 S is for Strategic S is for Strategic 00:06:00 A SMARTERS Summary Course summary 00:02:00 Your bonus lecture A little extra for you! 00:01:00 Course Certification

Javascript Asynchronous Basics is a course that will assist you to become a front-end developer with thorough and

Have you learned Korean language from standard Korean text books? Are you struggling to memorize many Korean words but can't you remember all the words that you've learned? Please don't panic. It is no wonder that learning a new language like Korean is difficult for beginners. In this course, you will learn Korean language in fun and easy ways with a popular Korean trot music titled as 'Jjiniya' sung by the trot singer 'Young-tak'. He is known as 'jin jin jin man' after singing the song 'Jjiniya' in the award festival held in 2020. 'Korean Trot 'Jjiniya' Lyrics Breakdown' class focuses on teaching spoken Korean language step by step. First, you will learn how to pronounce the Korean lyrics of the trot song and guess the meaning of the lyrics by looking at some pictures. Then, you will compare English lyrics with Korean lyrics in the first verse of the song 'Jjiniya' and be taught some implied meanings in the lyrics. Final lesson is about the review of the Korean trot music 'Jjiniya' with the second verse of the song. I will slowly read the Korean language in the song, so I believe that you can pronounce the Korean words in the Korean music as accurately as possible. Be sure to print the downloadable lesson materials that are attached to the section four and seven of the course. I made some blanks in the material to help you easily remember some key words in the Ktrot song. I hope you will enjoy the 'Jjinya' lesson. :) '(Icon made by Freepik from flaticon) (Icon made by iconixar from flaticon)' Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Korean Trot Music ' Jjiniya ' Introduction Introduction 00:01:00 Korean Alphabet ' Hangeut ' Summary Korean Alphabet Summary with Jjiniya 00:11:00 Korean Trot Music ' Jjiniya ' Vocabularies Word Building 00:02:00 Korean Trot Music ' Jjiniya ' Korean Lyrics Pronunciation Korean Lyrics Reading 00:04:00 Korean Trot Music ' Jjiniya ' First Verse Analysis First Verse: English+ Korean 1 00:03:00 First Verse: English+ Korean 2 00:04:00 First Verse: English+ Korean 3 00:03:00 Korean Trot Music ' Jjiniya ' Second Verse Reading +Review Second Verse: English Reading+Review 00:02:00 Supplementary Resources Supplementary Resources - Learn Korean with Song Korean Trot 'Jjiniya' Breakdown 00:00:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Listening is a conscious activity which requires attention. Rather than waiting to speak, you need to listen attentively to fully understand the other person. Remember, there is no point in asking a question if you do not intend to listen carefully to the answer! The Communication: The Ultimate Guide to Questioning & Listening is designed to help you think about how you communicate verbally. The course includes information on the processes involved and the steps you can take to help ensure that verbal or spoken messages are received as intended. Through this course you will learn, examine and be able to apply; what questions are, what they can do and why we ask them. As well as examining and practicing active listening and common body language cues. In additional you will be able to recognize and respond to both positive and negative question responses. What you'll learn Answer - 'what is questioning?' Understands and can apply what questions can do Unpick why we ask questions Examine what active listening is Undertake an active listening exercise Appreciate the role of body language Recognize the main body language cues and signs as they relate to questions & answers Use, understand and appreciate 12 question types recognize, appreciate and use 12 different types of questions - including; the pros and cons, examples and interpersonal implications Appreciate and respond appropriately to possible question responses Appreciate the role of emotional intelligence Download a series of 'Top Ten Questions' Requirements Some method of jotting down thoughts, notes and quiz answers The 8th question type video (Socratic) has a supporting document Introduction to The Ultimate Guide to Questioning Course Introduction FREE 00:05:00 The Fundamentals - What & Why What is questioning? 00:02:00 What can questions do? 00:10:00 Why do we ask questions? 00:04:00 Active listening Are you listening? 00:09:00 Active Listening Exercise 00:09:00 Body language Body language 00:13:00 The 12 Different Types of Questions Introduction to the 12 question types 00:03:00 Closed questions 00:03:00 Tag or tail questions 00:02:00 Open questions 00:02:00 Imagine questions 00:02:00 Funnel questions 00:02:00 Probing questions 00:06:00 Recall & process questions 00:02:00 Socratic questions - 6 types 00:04:00 Leading Questions 00:02:00 Loaded questions 00:02:00 Rhetorical questions 00:01:00 Empathetic questions 00:03:00 How can people respond to questions? 8 possible question responses 00:06:00 Summary Summary of Ultimate Guide To Questioning 00:04:00 Course Certification

Overview This comprehensive course on Building a TodoMVC Application in Vue, React and Angular Masterclass will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Building a TodoMVC Application in Vue, React and Angular 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 Building a TodoMVC Application in Vue, React and Angular Masterclass. It is available to all students, of all academic backgrounds. Requirements Our Building a TodoMVC Application in Vue, React and Angular 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 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 • 14 lectures • 02:24:00 total length •Module 01: Introduction: 00:07:00 •Module 01: Scaffolding a Vue TodoMVC Application: 00:15:00 •Module 02: Programming a Vue TodoMVC Application: 00:17:00 •Module 03: Styling a Vue TodoMVC Application: 00:06:00 •Module 04: Vue TodoMVC Application Summary: 00:01:00 •Module 01: Scaffolding a React TodoMVC Application: 00:10:00 •Module 02: Programming a React TodoMVC Application's Views: 00:13:00 •Module 03: Adding Interactivity to a React TodoMVC Application: 00:20:00 •Module 04: React TodoMVC Summary: 00:02:00 •Module 01: Scaffolding an Angular TodoMVC Application: 00:21:00 •Module 02: Displaying Components in an Angular TodoMVC Application: 00:11:00 •Module 03: Adding Interactivity to an Angular TodoMVC Application: 00:16:00 •Module 04: Angular TodoMVC Summ-A-ry: 00:04:00 •Module 01: Conclusion: 00:01:00

Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join today! 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? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00