88 DJ courses in Bath delivered On Demand

Register on the Reach Advanced Level in English as a Foreign Language today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Reach Advanced Level in English as a Foreign Language is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Reach Advanced Level in English as a Foreign Language Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Reach Advanced Level in English as a Foreign Language, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.  Course Content Section 01: Introduction Introduction 00:04:00 Section 02: Reading 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 Section 03: Listening 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 Section 04: Speaking 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 Section 05: Writing How to improve writing skills 00:10:00 Writing Practice 00:05:00 Writing Tips 00:04:00 Section 06: Final Section How to maintain the advanced level 00:10:00 Final Lecture 00:23:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Learn to make interactive apps using Swift 4.2 and Xcode 10 and have your own applications in the App Store in just 10 days

Course Overview Learn how to manipulate huge amounts of online data and effectively transfer it for personal projects by taking this course on Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4. Using expert guidance and clear instructions, this intuitive coaching will allow you to create an end-to-end GIS (Geographic Information System) application for practical uses and impressive projects.  This comprehensive Python tutorial provides the ideal way to learn how to make the most of these data retrieval and utilisation functions. By making use of Django and ETL techniques, your ability to work with information systems will improve considerably and allow your projects to stand out in the crowd. On completion of the training, you will be able to perform complex data transfers with professional routines, regardless of the complexity of the task and the size of the records.  This best selling Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4 is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4 will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

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