1668 Summary courses

Duration 2 Days 12 CPD hours This course is intended for A Dynamics 365 for Finance and Operations 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 This course provides the practical knowledge to Navigate and efficiently use search, filtering and queries Use operational workspaces Work with Business Document Management Work with record templates Integrate Power BI with Dynamics 365 Finance and Operations apps Personalize workspaces Run and analyze security reports Create and use workflow for approval Work with Organization Hierarchy and its purposes. How to use personalization feature Use Data Management workspace Create and use and entity templates Import and export data and manage data by using Office Integration Dynamics 365 Finance and Operations apps include, but are not limited to, Dynamics 365 Finance, Dynamics 365 Supply Chain Management, and Dynamics 365 Supply Chain Management, Manufacturing. This foundational course provides students with the important first steps in automating and modernizing both global financial and supply chain operations. USE COMMON FUNCTIONALITY AND IMPLEMENTATION TOOLS Introduction Identify and use common Dynamics 365 Finance and Operations apps features and functionality Describe use cases for Power Platform apps and services Module Summary CONFIGURE SECURITY, PROCESSES, AND OPTIONS Introduction Implement security Design and create workflows Configure Organization administration features Configure System administration features Module Summary MANAGE DYNAMICS 365 FINANCE AND OPERATION DATA Introduction Manage data in Dynamics 365 Finance and Operations apps Plan a migration strategy Prepare data for migration and migrate data Module Summary VALIDATE AND SUPPORT THE SOLUTION Introduction Test solutions in Dynamics 365 Finance and Operations apps Implement Lifecycle Services tools Module Summary Additional course details: Nexus Humans MB-300T00 Microsoft Dynamics 365: Core Finance and Operations 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-300T00 Microsoft Dynamics 365: Core Finance and Operations 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.

If you work with adults and young people and wish to gain a knowledge of the principles and practice of assessment as well as the practical aspects of carrying out assessment, then Level 3 Certificate in Assessing Vocational Achievement is for you.

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

Level 3 Certificate in Understanding Autism will provide further learning in autism for those that have already completed the level 2 qualification.

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

  The CIPT is the first and only certification of its kind worldwide. It was launched by the IAPP in 2014 and updated in early 2023 to meet the growing need that only tech pros can fill-securing data privacy at all stages of IT product and service lifecycles.  Whether you work in the public or private sector, data privacy skills are quickly becoming a must-have-and that's a great opportunity for you.  The CIPT certification also holds accreditation under ISO 17024: 2012 About This Course   What will you learn?   Critical data protection concepts and practices that impact IT Consumer data protection expectations and responsibility How to bake privacy into early stages of IT products and services for cost control, accuracy and speed-to-market How to establish data protection practices for data collection and transfer How to pre-empt data protection issues in the Internet of Things How to factor data protection into data classification and emerging tech such as cloud computing, facial recognition and surveillance How to communicate data protection issues with partners such as management, development, marketing and legal.   This course has two programmatic modules, the first four areas focus on the fundamentals of data protection. The second module takes the fundamentals and puts it into practice.   MODULE 1: Fundamentals of Information Privacy   Unit 1: Common Principles and Approaches to Privacy This unit includes a brief discussion of the modern history of privacy, an introduction to types of information, an overview of information risk management and a summary of modern privacy principles.   Unit 2: Jurisdiction and Industries This unit introduces the major privacy models employed around the globe and provides an overview of privacy and data protection regulation by jurisdictions and industry sectors.   Unit 3: Information Security: Safeguarding Personal Information This unit presents introductions to information security, including definitions, elements, standards and threats/vulnerabilities, as well as introductions to information security management and governance, including frameworks, controls, cryptography and identity and access management (IAM).   Unit 4: Online Privacy: Using Personal Information on Websites and with Other Internet-related Technologies This unit examines the web as a platform, as well as privacy considerations for sensitive online information, including policies and notices, access, security, authentication and data collection. Additional topics include children's online privacy, email, searches, online marketing and advertising, social media, online assurance, cloud computing and mobile devices.    MODULE 2: Privacy in Technology   Unit 1: Understanding the Need for Privacy in the IT Environment This unit highlights the impact that regulatory activities, security threats, advances in technology and the increasing proliferation of social networks have on IT departments.   Unit 2: Core Privacy Concepts This unit reveals how privacy compliance becomes more attainable through developing information lifecycle plans, data identification and classification systems and data flow diagrams.   Unit 3: Regulations and Standards Impacting Privacy in IT This unit introduces privacy laws, regulations and standards that can help IT professionals design better privacy programmes and systems to handle personal information throughout the data lifecycle.   Unit 4: Privacy in Systems and Applications This unit develops an understanding of the risks inherent in the IT environment and how to address them.   Unit 5: Online Privacy Issues This unit presents information about online threats, threat prevention and the role of IT professionals in ensuring proper handling of user data.   Unit 6: De-identifying and Anonymizing Personally Identifiable Information This unit reveals the importance of personally identifiable information and methods for ensuring its protection.   Unit 7: Cloud Computing This unit evaluates privacy and security concerns associated with cloud services, and standards that exist to advise on their use. Prerequisites   There are no prerequisites for this course but attendees would benefit from a review of the materials on the IAPP site. What's Included?   1 years membership of the IAPP  Refreshments & Lunch (Classroom courses only) Participant Guide Official Study Guides Official Practice Exam Official Q&A The Exam Fees Who Should Attend?   The CIPT credential shows you've got the knowledge to build your organisation's data protection structures from the ground up. With regulators worldwide calling for tech professionals to factor data protection into their products and services, the job market for privacy-trained IT pros has never been stronger. As a result, the CIPT is targeted towards; Data Protection Officers IT Managers and Administrators Records Managers System Developers IT Security specialists Accreditation Our Guarantee   We are an approved IAPP Training Partner. You can learn wherever and whenever you want with our robust classroom and interactive online training courses. Our courses are taught by qualified practitioners with a minimum of 25 years commercial experience. We strive to give our delegates the hands-on experience. Our courses are all-inclusive with no hidden extras.  The one-off cost covers the training, all course materials, and exam voucher. Our aim: To achieve a 100% first time pass rate on all our instructor-led courses. Our Promise: Pass first time or 'train' again for FREE. *FREE training offered for retakes - come back within a year and only pay for the exam.

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

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