An interactive workshop experience with personal stylist Emma Shoe, sharing her expertise on how to create a wardrobe you'll truly treasure! How To Create A Wardrobe To Treasure............ Do you have a wardrobe full of clothes that you don't love? Do you have lots of things hanging in your wardrobe you never or rarely wear? Do you mostly default to the same few outfits all the time? Thinking you'd like to have less stuff, but value what you do have more? Keen to discover more planet friendly ways to update your wardrobe? This group styling experience is for you if you answered yes to any of these questions. During the workshop, we will share wardrobe treasures, discuss personal style, look at shape and colour and more sustainable ways to create your wardrobe. You'll get the opportunity to 'play' with creating outfits and experiment with new looks for your own wardrobe. The practical and tangible outcomes you'll experience from this workshop include: How to edit what's in your wardrobe. Emma's approach to eliminate regretful shopping mistakes and binge buying. The flat-lay method to create outfits and plan looks. How to create your wardrobe of treasure. Why and how to embrace the circular fashion model. Access to Emma's black book of favourite pre-loved treasure troves. About Emma: Emma (Shoe) Reed is the founder of Styling You Well. She is a former shoe designer turned personal stylist and image consultant. She has over twelve years expertise styling women, transforming confidence and mindset to elevate professional presence. Emma's clients are entrepreneurs, creatives and leaders, professional women dealing with major life changes or transitioning from experiences like the menopause, divorce, illness, promotion, career change or returning to work post maternity leave. Kind words... "Emma is a fantastic personal stylist. She put items together that I never would have thought of myself. This is her unique gift. She has great knowledge of body shapes and made suggestions that were really flattering. She is also a master at accessorising. I would highly recommend her if you need some styling support." "I took the opportunity in lock-down to take a hard look at my personal style - or perhaps lack of personal style is a more appropriate phrase! Having left corporate life behind a few years ago, I felt I knew how to dress smartly and I LOVE my jeans and gold trainers but I knew that there had to be something stylish yet relaxed that looked AND felt great...I just couldn't seem to find it alone. Cue Emma. I'd attended one of her Capsule Wardrobe Styling sessions in Hampton which opened my eyes to the possibility of having a small but hard-working wardrobe with the right accessories to make it feel fresh. So, I booked in for Emma's virtual styling session which was a revelation! I quickly understood why I didn't feel (or look) great in certain pieces and which styles and colours really work/don't work for my body shape and skin-tone. I also realised that I'd been stuck in a colour rut for quite some time. It was time to say good-bye to black. It also became obvious during the session that there were giant gaps in my wardrobe - mostly due to my overly-enthusiastic Marie Kondo-style clear outs! My interest in shopping for clothes has been renewed - I feel like I have a better idea of what I should be looking for which makes it all so much easier and more fun. I'm also feeling much braver with colour. I can't wait to take Emma shopping with me in real life. She knows her stuff and she's also great fun to be around." "Emma was such a joy to help me go through my wardrobe and get me interested in clothes again. She was kind, honest, practical and had a very stylish take on my limited wardrobe. I trusted her judgement implicitly and was buzzing after our session. Highly recommend Emma for her professionalism and empathy plus the fabulous outfits." You can contact Emma at: https://www.stylingyouwell.com / +44 7900 242487 / emmashoe@stylingyouwell.com If you have any questions regarding this event, please email Lara at lara@themotivationclinic.co.uk or call her on 07817247727
Discover what APIs and RESTful APIs are and how they work
Overview This comprehensive course on Machine Learning for Predictive Maps in Python and Leaflet will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Machine Learning for Predictive Maps in Python and Leaflet 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 Machine Learning for Predictive Maps in Python and Leaflet. It is available to all students, of all academic backgrounds. Requirements Our Machine Learning for Predictive Maps in Python and Leaflet 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 9 sections • 33 lectures • 05:59:00 total length •Introduction: 00:10:00 •Python Installation: 00:04:00 •Creating a Python Virtual Environment: 00:07:00 •Installing Django: 00:09:00 •Installing Visual Studio Code IDE: 00:06:00 •Installing PostgreSQL Database Server Part 1: 00:03:00 •Installing PostgreSQL Database Server Part 2: 00:09:00 •Adding the settings.py Code: 00:07:00 •Creating a Django Model: 00:10:00 •Adding the admin.py Code: 00:21:00 •Creating Template Files: 00:10:00 •Creating Django Views: 00:10:00 •Creating URL Patterns for the REST API: 00:09:00 •Adding the index.html code: 00:04:00 •Adding the layout.html code: 00:19:00 •Creating our First Map: 00:10:00 •Adding Markers: 00:16:00 •Installing Jupyter Notebook: 00:07:00 •Data Pre-processing: 00:31:00 •Model Selection: 00:20:00 •Model Evaluation and Building a Prediction Dataset: 00:11:00 •Creating a Django Model: 00:04:00 •Embedding the Machine Learning Pipeline in the Application: 00:42:00 •Creating a URL Endpoint for our Prediction Dataset: 00:06:00 •Creating Multiple Basemaps: 00:09:00 •Creating the Marker Layer Group: 00:10:00 •Creating the Point Layer Group: 00:12:00 •Creating the Predicted Point Layer Group: 00:07:00 •Creating the Predicted High Risk Point Layer Group: 00:12:00 •Creating the Legend: 00:09:00 •Creating the Prediction Score Legend: 00:15:00 •Resource: 00:00:00 •Assignment - Machine Learning for Predictive Maps in Python and Leaflet: 00:00:00
All about containers, Docker, and Kubernetes for Python engineers.
Overview This comprehensive course on Create Smart Maps in Python and Leaflet Level 3 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Create Smart Maps in Python and Leaflet Level 3 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 Create Smart Maps in Python and Leaflet Level 3. It is available to all students, of all academic backgrounds. Requirements Our Create Smart Maps in Python and Leaflet Level 3 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 • 26 lectures • 03:41:00 total length •Introduction: 00:08:00 •Installing PostgreSQL and PostGIS Part1: 00:10:00 •Installing PostgreSQL and PostGIS Part2: 00:10:00 •Installing Python Django in a Virtual Environment: 00:10:00 •Installing and Configuring Atom IDE Part1: 00:10:00 •Installing and Configuring Atom IDE Part2: 00:03:00 •Creating a GeoDjango Application Skeleton: 00:10:00 •Adding a Spatial Database to our Django Backend: 00:09:00 •Updating our django models file: 00:08:00 •Registering our model in the admin file Part1: 00:09:00 •Registering our model in the admin file Part2: 00:10:00 •Registering our model in the admin file Part3: 00:10:00 •Updating the settings file: 00:07:00 •Creating the layout page Part 1: 00:09:00 •Creating the layout page Part 2: 00:10:00 •Creating the layout page Part 3: 00:07:00 •Creating the index page Part 1: 00:10:00 •Creating the index page Part 2: 00:07:00 •Updating the index page: 00:07:00 •Creating datasets: 00:10:00 •Displaying data on the map Part 1: 00:10:00 •Displaying data on the map Part 2: 00:02:00 •Creating a legend: 00:10:00 •Creating the barchart legend: 00:06:00 •Creating the barchart Part 1: 00:10:00 •Creating the barchart Part 2: 00:09:00
QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support
Overview This comprehensive course on Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4 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? After successfully completing the course you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4. It is available to all students, of all academic backgrounds. Requirements Our Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4 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 8 sections • 22 lectures • 04:20:00 total length •Introduction: 00:16:00 •Installing PostgreSQL and PostGIS: 00:08:00 •Creating the Application Database: 00:03:00 •Installing Django in a Python Virtual Environment: 00:08:00 •Installing the ATOM IDE: 00:09:00 •Creating the Django Base Project: 00:08:00 •Adding the Database Configuration to the settings.py File: 00:09:00 •Creating a Model in the models.py File: 00:07:00 •Extracting Data from the Web: 00:24:00 •Cleaning and Transforming the Data Part 1: 00:18:00 •Cleaning and Transforming the Data Part 2: 00:10:00 •Loading the Data into the Model: 00:12:00 •Adding the Web Map Tile Service Link in settings.py: 00:08:00 •Reading from the Model and Creating a GeoJSON Dataset: 00:12:00 •Adding Template Files (HTML): 00:10:00 •Adding a Layout and the Base Map: 00:25:00 •Plotting Circle Markers: 00:16:00 •Creating a Sliding Sidebar: 00:14:00 •Creating a Doughnut Chart: 00:19:00 •Creating a Multi-Bar Bar Chart: 00:12:00 •Creating a Multi-Bar Bar Chart: 00:12:00 •Resource: 00:00:00
Experience the future of geographical analysis with our Machine Learning for Predictive Maps in Python and Leaflet course. Master the unique blend of programming, machine learning, and geographic information systems, all while honing your ability to predict and visualise spatial data in a powerful and effective way. This course offers you an unparalleled understanding of modern map creation, combined with the magic of prediction using machine learning models. Starting from the ground up, you'll be introduced to all the necessary setups and installations. After that, you will be diving into the depth of Django server-side code and front-end application code writing. The heart of the course lies in learning how to automate the machine learning pipeline, leading you to easily create predictive models. Improve your maps with Leaflet programming, making your predictions accurate and also visually striking. By the end of this course, you will be armed with experience furnished by our comprehensive project source code and assignments, empowering you to drive data-driven decisions and insightful spatial analysis. Join us and map your way to success! Sign up today. Learning Outcomes:Upon completion of the Machine Learning course, you will be able to: Understand how to set up and install relevant software and libraries.Master Django server-side and application front-end code writing.Gain proficiency in the concepts and implementation of Machine Learning.Learn to automate Machine Learning pipelines for efficient workflows.Acquire skills in Leaflet programming for enhanced map visuals.Handle project source code effectively for real-world projects.Apply knowledge practically via assignments and gain experience. Who is this course for?This Machine Learning course is ideal for: Aspiring Data Scientists keen on harnessing geographical data.GIS professionals aiming to integrate Machine Learning into their skill set.Software Developers interested in creating geographically-focused applications.Analysts keen on enhancing their data visualisation skills with mapping. CertificationAfter studying the course materials of the Machine Learning for Predictive Maps in Python and Leaflet course, 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 have a range of certification options to choose from. You can claim a CPD Accredited PDF Certificate for £4.99, a CPD Accredited Hardcopy Certificate at £8.00, or you may choose to receive a PDF Transcript for £4.99 or a Hardcopy Transcript for £9.99. Select according to your needs, and we assure timely delivery of your chosen certificate. RequirementsThis professionally designed Machine Learning for Predictive Maps in Python and Leaflet course does not require you to have any prior qualifications or experience. It is open to everyone. You will be able to access the course from anywhere at any time. Just enrol and start learning! Career Path:Our Machine Learning course will help you to pursue a range of career paths, such as: Junior Data Analyst: £25,000 - £35,000 annually.Data Scientist: £40,000 - £60,000 annually.GIS Analyst: £30,000 - £45,000 annually.Geospatial Software Developer: £35,000 - £55,000 annually.Machine Learning Engineer: £50,000 - £80,000 annually.Lead Data Scientist (GIS speciality): £70,000 - £100,000+ annually. Course Curriculum Section 01: Introduction Introduction 00:10:00 Section 02: Setup and Installations Python Installation 00:04:00 Creating a Python Virtual Environment 00:07:00 Installing Django 00:09:00 Installing Visual Studio Code IDE 00:06:00 Installing PostgreSQL Database Server Part 1 00:03:00 Installing PostgreSQL Database Server Part 2 00:09:00 Section 03: Writing the Django Server-Side Code Adding the settings.py Code 00:07:00 Creating a Django Model 00:10:00 Adding the admin.py Code 00:21:00 Section 04: Writing the Application Front-end Code Creating Template Files 00:10:00 Creating Django Views 00:10:00 Creating URL Patterns for the REST API 00:09:00 Adding the index.html code 00:04:00 Adding the layout.html code 00:19:00 Creating our First Map 00:10:00 Adding Markers 00:16:00 Section 05: Machine Learning Installing Jupyter Notebook 00:07:00 Data Pre-processing 00:31:00 Model Selection 00:20:00 Model Evaluation and Building a Prediction Dataset 00:11:00 Section 06: Automating the Machine Learning Pipeline Creating a Django Model 00:04:00 Embedding the Machine Learning Pipeline in the Application 00:42:00 Creating a URL Endpoint for our Prediction Dataset 00:06:00 Section 07: Leaflet Programming Creating Multiple Basemaps 00:09:00 Creating the Marker Layer Group 00:10:00 Creating the Point Layer Group 00:12:00 Creating the Predicted Point Layer Group 00:07:00 Creating the Predicted High Risk Point Layer Group 00:12:00 Creating the Legend 00:09:00 Creating the Prediction Score Legend 00:15:00 Section 08: Project Source Code Resource 00:00:00 Assignment Assignment - Machine Learning for Predictive Maps in Python and Leaflet 00:00:00
Overview This comprehensive course on English as a Foreign Language will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This English as a Foreign Language 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 English as a Foreign Language. It is available to all students, of all academic backgrounds. Requirements Our English as a Foreign Language 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 7 sections • 32 lectures • 04:49:00 total length •Introduction: 00:04:00 •How to Improve Vocabulary: 00:20:00 •Phrasal Verbs Lecture: 00:09:00 •Phrasal Verbs: 00:36:00 •Reading Tips: 00:04:00 •Reading Practice Example: 00:11:00 •Reading Practice - Learning Pronunciation: 00:03:00 •How to Improve Listening Skills: 00:14:00 •Novak Djokovic Interview: 00:12:00 •MLK Speech: 00:08:00 •George Foreman Interview: 00:11:00 •Michael Jordan Speech: 00:09:00 •Dolph Lundgren Speech: 00:06:00 •Roger Federer Interview: 00:07:00 •Neil Degrasse Tyson Interview: 00:08:00 •Kobe Bryant Interview: 00:08:00 •Lisa Kudrow Interview: 00:07:00 •Courteney Cox Interview: 00:06:00 •Yvonne Orji Interview: 00:07:00 •David Schwimmer Interview: 00:07:00 •Listening Practice: 00:07:00 •Listening Tips: 00:05:00 •How to speak fluently in English: 00:03:00 •How to improve speaking skills: 00:10:00 •Speaking Practice: 00:07:00 •Speaking Tips: 00:08:00 •How to improve writing skills: 00:10:00 •Writing Practice: 00:05:00 •Writing Tips: 00:04:00 •How to maintain the advanced level: 00:10:00 •Final Lecture: 00:23:00 •Assignment - English as a Foreign Language: 00:00:00
Overview This comprehensive course on Reach Advanced Level in English as a Foreign Language will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Reach Advanced Level in English as a Foreign Language 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 Reach Advanced Level in English as a Foreign Language. It is available to all students, of all academic backgrounds. Requirements Our Reach Advanced Level in English as a Foreign Language 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 7 sections • 32 lectures • 04:49:00 total length •Introduction: 00:04:00 •How to Improve Vocabulary: 00:20:00 •Phrasal Verbs Lecture: 00:09:00 •Phrasal Verbs: 00:36:00 •Reading Tips: 00:04:00 •Reading Practice Example: 00:11:00 •Reading Practice - Learning Pronunciation: 00:03:00 •How to Improve Listening Skills: 00:14:00 •Novak Djokovic Interview: 00:12:00 •MLK Speech: 00:08:00 •George Foreman Interview: 00:11:00 •Michael Jordan Speech: 00:09:00 •Dolph Lundgren Speech: 00:06:00 •Roger Federer Interview: 00:07:00 •Neil Degrasse Tyson Interview: 00:08:00 •Kobe Bryant Interview: 00:08:00 •Lisa Kudrow Interview: 00:07:00 •Courteney Cox Interview: 00:06:00 •Yvonne Orji Interview: 00:07:00 •David Schwimmer Interview: 00:07:00 •Listening Practice: 00:07:00 •Listening Tips: 00:05:00 •How to speak fluently in English: 00:03:00 •How to improve speaking skills: 00:10:00 •Speaking Practice: 00:07:00 •Speaking Tips: 00:08:00 •How to improve writing skills: 00:10:00 •Writing Practice: 00:05:00 •Writing Tips: 00:04:00 •How to maintain the advanced level: 00:10:00 •Final Lecture: 00:23:00 •Assignment - Reach Advanced Level in English as a Foreign Language: 00:00:00