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Overview The Beauty Skincare Course is a complete guide to mastering essential beauty and skincare skills. This course is tailored for those passionate about beauty and eager to dive into the science of skin health and beauty care. With a focus on skin anatomy, skin nutrients, and personalized beauty treatments, you’ll learn to cater to different skin types, ethnicities, and seasonal skincare needs. This program equips you with expert knowledge on remedies for acne, eczema, and other skin conditions while teaching strategies to address ageing effects and promote overall beauty wellness. With an emphasis on beauty routines and the nuances of hair removal, you’ll develop a holistic understanding of beauty practices that set you apart in the competitive beauty industry. Designed for anyone interested in professional or personal growth in beauty, this course offers practical techniques, theoretical knowledge, and insights into addressing skin challenges. As the demand for skilled beauty professionals continues to rise, this course positions you as a leader in the dynamic world of beauty and skincare. Elevate your expertise, embrace innovation, and make your mark in the thriving beauty industry. Learning Outcomes Master the fundamentals of beauty and skincare, including skin anatomy and nutrients. Diagnose skin diseases and recommend beauty solutions for common skin conditions like acne and eczema. Provide customized beauty care for different skin types, ethnicities, and seasonal requirements. Address the effects of ageing with effective beauty techniques and remedies. Gain expertise in hair removal as part of professional beauty care practices. Understand the impact of the sun on skin and offer remedies for sun-related beauty concerns. Build a strong foundation in modern beauty practices to meet industry demands. Key Features of the Course: FREE Beauty Skincare CPD-accredited certificate Get a free student ID card with Beauty Skincare training (£10 applicable for international delivery) Lifetime access to the Beauty Skincare course materials The Beauty Skincare program comes with 24/7 tutor support Get instant access to this Beauty Skincare course Learn Beauty Skincare training from anywhere in the world The Beauty Skincare training is affordable and simple to understand The Beauty Skincare training is entirely online How will I get my certificate? You may have to take a quiz or a written test online during or after the Beauty Skincare course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? The Beauty Skincare course is ideal for aspiring beauty therapists, esthetician professionals, or anyone looking to start a career in beauty and skincare. It’s also perfect for current professionals who want to enhance their knowledge of beauty skincare treatments, skin conditions, and client care. Whether you’re interested in skincare for personal or professional growth, this course offers the crucial skills to succeed in the beauty industry. Requirements Our Beauty Skincare 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 Beauty Skincare course, it can be studied in your own time at your own pace. Career Path Completing the Beauty Skincare Course opens up exciting opportunities in the thriving beauty industry. Potential career paths include: Skincare Specialist: £25,000–£30,000 per annum Beauty Consultant: £20,000–£35,000 per annum Dermatology Assistant: £22,000–£30,000 per annum Spa Therapist: £20,000–£28,000 per annum Beauty Influencer: Build your brand through social media and beauty content creation. Freelance Beauty Expert: Offer specialized beauty services and consultations. With the increasing demand for skilled professionals, this course ensures you’re prepared to excel in the beauty industry. Whether in skincare, consulting, or therapy, your expertise will set you apart in this growing field. Course Curriculum 14 sections • 14 lectures • 17:26:00 total length •Skin Anatomy: 00:25:00 •Skin Nutrients: 00:31:00 •Skin Care for Different Skin Types: 00:25:00 •Skin Care for Different Ethnicities: 00:23:00 •Reducing Ageing Effects: 00:28:00 •Hair Removal Examined: 00:26:00 •Diagnosis of Skin Disease: 00:20:00 •Eczema: 00:32:00 •Keratinising and Papulosquamous Disorders: 00:25:00 •Skin Infections: 00:26:00 •Remedies for Acne Prone Skin: 00:24:00 •Seasonal Skin Care: 00:24:00 •Effect of the Sun and Its' Remedies: 00:17:00 •Assignment - Beauty Skincare: 2 days, 12 hours

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Duration 2 Days 12 CPD hours This course is intended for This course is relevant to anyone who needs to work with and understand data including: Business Analysts, Data Analysts, Reporting and BI professionals Marketing and Digital Marketing professionals Digital, Web, e-Commerce, Social media and Mobile channel professionals Business managers who need to interpret analytical output to inform managerial decisions Overview This course will cover the basic theory of data visualization along with practical skills for creating compelling visualizations, reports and dashboards from data using Tableau. Outcome: After attending this course delegates will understand - How to move from business questions to great data visualizations and beyond How to apply the fundamentals of data visualization to create informative charts How to choose the right visualization type for the job at hand How to design and develop basic dashboards in Tableau that people will love to use by doing the following: Reading data sources into Tableau Setting up the roles and data types for your analysis Creating new data fields using a range of calculation types Creating the following types of charts - cross tabs, pie and bar charts, geographic maps, dual axis and combo charts, heat maps, highlight tables, tree maps and scatter plots Creating Dashboards that delight using the all of the features available in Tableau. The use of analytics, statistics and data science in business has grown massively in recent years. Harnessing the power of data is opening actionable insights in diverse industries from banking to tourism. From Business Questions to Data Visualisation and Beyond The first step in any data analysis project is to move from a business question to data analysis and then on to a complete solution. This section will examine this conversion emphasizing: The use of data visualization to address a business need The data analytics process ? from business questions to developed dashboards Introduction to Tableau ? Part 1 In this section, the main functionality of Tableau will be explained including: Selecting and loading your data Defining data item properties Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations Creating basic visualizations Creating a basic dashboard Introduction to Tableau ? Part 2 In this section, the main functionality of Tableau will be explained including: Selecting and loading your data Defining data item properties Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations Creating basic visualizations Creating a basic dashboard Key Components of Good Data Visualisation and The Visualisation Zoo In this section the following topics will be covered: Colour theory Graphical perception & communication Choosing the right chart for the right job Data Exploration with Tableau Exploring data to answer business questions is one of the key uses of applying good data visualization techniques within Tableau. In this section we will apply the data visualization theory from the previous section within Tableau to uncover trends within the data to answer specific business questions. The types of charts that will be covered are: Cross Tabs Pie and bar charts Geographic maps Dual axis and combo charts with different mark types Heat maps Highlight tables Tree maps Scatter plots Introduction to Building Dashboards with Tableau In this section, we will implement the full process from business question to final basic dashboard in Tableau: Introduction to good dashboard design Building dashboards in Tableau

Duration 3 Days 18 CPD hours This course is intended for Technical Leaders Overview What is BlockchainHow does Blockchain workTypes of BlockchainsHow is Blockchain different from what we have todayWhat are use cases for BlockchainWhat does a Blockchain app look likeHow do I design a Blockchain appHow do I develop a Blockchain appHow do I test a Blockchain app This instructor-led 3 day Blockchain Architecture training is for technical leaders who need to make decisions about architecture, environment, and development platforms. What is Blockchain? A record keeping system Trust Decentralization Trustless environment How does Blockchain work? Announcements Blocks Nodes Chaining Verification Consensus Scalability Privacy Crypto Hashing Digital Fingerprinting PoW vs PoS Types of Blockchains Public vs Private Open vs closed Smart Contracts Blockchain as History Tokens / Coins Gas How is Blockchain different from what we have today? Decentralized Peer-to-peer architecture Software vs Firmware Database vs Blockchain Distributed database or other technology? Data Sovereignty Group Consensus What are Use Cases for Blockchain? Use Case Examples Currency Banking Services Voting Medical Records Supply Chain / Value Chain Content Distribution Verification of Software Updates (cars, planes, trains, etc) Law Enforcement Title and Ownership Records Social Media and Online Credibility Fractional asset ownership Cable Television billing High fault tolerance DDoS-proof Public or Private Blockchain? Who are the participants? What does a Blockchain app look like? DApp Resembles typical full stack web application Any internal state changes and all transactions are written to the blockchain Node.js IDE Public Blockchain visibility Private Blockchain solutions Oracles How do I design a Blockchain app? What does this solution need to let users do? Will the proposed solution reduce or remove the problems and pain points currently felt by users? What should this solution prevent users from doing? Do you need a solution ready for heavy use on day 1? Is your solution idea enhanced by the use of Blockchain? Does the use of Blockchain create a better end-user experience? If so, how? Has your business developed custom software solutions before? What level of support are you going to need? How big is the developer community? Does your vision of the future align with the project or platform's vision of the future? Does the platform aim to make new and significant contributions to the development space, or is it an efficiency / cost play? Should the solution be a public or private Blockchain? Should the solution be an open or closed Blockchain? Create a plan for contract updates and changes! Hybrid solutions Monetary exchanges? How do I develop a Blockchain app? AGILE approach pre-release Define guiding principles up front Software vs Firmware Announcements, not transactions! Classes, not contracts Link contracts to share functions Use calling contracts to keep contract address the same Hyperledger vs Ethereum CONSIDER No of Users * Avg No of Transactions (state changes) per User Should a Blockless solution be applied? Performance Security Anonymity Security Monolithic vs Modular Sandwich complexity model How do I test a Blockchain app? Recommend 5x to 10x traditional application testing time Security Networks

Duration 4 Days 24 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brand-new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm ? YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brandnew version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative dversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 1 Days 6 CPD hours This course is intended for Technical leaders Overview This course provides general overview of Blockchain technology and is specifically designed to answer the following questions:What is Blockchain? (What exactly is it?)Non-Technical Technology Overview (How does it work?)Benefits of Blockchain (Why should anyone consider this?)Use Cases (Where and for what apps is it appropriate?)Adoption (Who is using it and for what?)Implementation (How do I get started?)Future of Blockchain (What is its future?) This instructor-led 1 day Blockchain Architecture training is for technical leaders who need to make decisions about architecture, environment, and development platforms. What is Blockchain? A record keeping system Trust Decentralization Trustless environment How does Blockchain work? Announcements Blocks Nodes Chaining Verification Consensus Scalability Privacy Crypto Hashing Digital Fingerprinting PoW vs PoS Types of Blockchains Public vs Private Open vs closed Smart Contracts Blockchain as History Tokens / Coins Gas How is Blockchain different from what we have today? Decentralized Peer-to-peer architecture Software vs Firmware Database vs Blockchain Distributed database or other technology? Data Sovereignty Group Consensus What are Use Cases for Blockchain? Use Case Examples Currency Banking Services Voting Medical Records Supply Chain / Value Chain Content Distribution Verification of Software Updates (cars, planes, trains, etc) Law Enforcement Title and Ownership Records Social Media and Online Credibility Fractional asset ownership Cable Television billing High fault tolerance DDoS-proof Public or Private Blockchain? Who are the participants? What does a Blockchain app look like? DApp Resembles typical full stack web application Any internal state changes and all transactions are written to the blockchain Node.js IDE Public Blockchain visibility Private Blockchain solutions Oracles How do I design a Blockchain app? What does this solution need to let users do? Will the proposed solution reduce or remove the problems and pain points currently felt by users? What should this solution prevent users from doing? Do you need a solution ready for heavy use on day 1? Is your solution idea enhanced by the use of Blockchain? Does the use of Blockchain create a better end-user experience? If so, how? Has your business developed custom software solutions before? What level of support are you going to need? How big is the developer community? Does your vision of the future align with the project or platform's vision of the future? Does the platform aim to make new and significant contributions to the development space, or is it an efficiency / cost play? Should the solution be a public or private Blockchain? Should the solution be an open or closed Blockchain? Create a plan for contract updates and changes! Hybrid solutions Monetary exchanges? How do I develop a Blockchain app? AGILE approach pre-release Define guiding principles up front Software vs Firmware Announcements, not transactions! Classes, not contracts Link contracts to share functions Use calling contracts to keep contract address the same Hyperledger vs Ethereum CONSIDER No of Users * Avg No of Transactions (state changes) per User Should a Blockless solution be applied? Performance Security Anonymity Security Monolithic vs Modular Sandwich complexity model How do I test a Blockchain app? Recommend 5x to 10x traditional application testing time Security Networks Additional course details: Nexus Humans Blockchain - An Overview for Business Professionals 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 Blockchain - An Overview for Business Professionals 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.

Many people have a misconception about networking events, and lose out on new business opportunities as a result. They either don't appreciate the real benefits and techniques of networking and don't attend events, or they attempt to 'sell on the first date', causing resentment. You can either attempt to make a sale for a quick buck (which is particularly likely to backfire at a networking event), or you can try to open a long-term relationship, creating new opportunities and a high lifetime value customer (which is how it's meant to be done). Networking, when done properly, is an excellent tool for referrals. But you have to appreciate that it's done on the basis of giving rather than receiving and this doesn't always come naturally to sales professionals. The old saying that it's about getting to 'know, like and trust' is still true. This workshop is about having your prospects and customers getting to know, like and trust you, and building that lifetime value as a result. By the end of this programme, participants will be able to: Understand what networking is - networking etiquette Know how and where to network Clarify their objectives - why network Use the 4 basic questions to start a conversation Build rapport quickly and easily Answer the question 'What do you do?' effectively in a few seconds Deliver a 60-second pitch Break into a group Prepare for a network meeting Identify opportunities Use tools to assist in networking 1 Introduction Aims and objectives 2 What is networking? Why network - objectives and goal setting Networking etiquette Preparation - online and offline tools to use Identify networking opportunities - where to network Know what you have to offer 'Know, like and trust' - the process 3 What do you do? Answer in 5-10 seconds Create and deliver a 60-second pitch Who is your target market? 4 Starting a conversation Breaking into a group Building rapport The 4 questions to start a conversation Moving on 5 Communicate and engage LISTEN - 4 types of listening skill Ask powerful questions Influence - don't sell What can you do to help others - give to get 6 Power of referrals Who can give you referrals? When to give or ask for referrals Have a referral system Showing appreciation 7 Social media and other online tools Using LinkedIn and other social media Online directories 8 Next steps Following up Arranging one-to-one meetings Developing relationships

Want to level up your social media channels and skills, and learn how to run smart and effective paid social media campaigns on Facebook and Instagram?