550 Machine Learning (ML) courses in Sheffield delivered Online

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Description Fundamentals of Artificial Intelligence diploma  Artificial intelligence is widely popular and fascinates most people, especially when compared to technology-related topics. The reason behind it may be that it often goes and wanders beyond what we can imagine. We live in a world where we constantly hold smartphones capable of performing tasks we could never have even thought of just ten years ago. We use technological innovations every day, like voice commands, facial recognition, and other tools that can isolate portraits or take group photos. These are things we never imagined were possible, but we have grown used to them today. We have experienced the wonders of AI, and every new aspect awes us. Although technology has become a part of our daily lives, most do not know how it works. Looking at how amazing the effects of AI are, there is no doubt that the way it works will awe us just as much. Narrow AI is more common, which is AI meant to be used powerfully in one case, like AI for facial recognition or detection of spam. AI systems can be used to sort out vast piles of data like recommendation systems and search engines. They can also provide insights into the data. With this kind of narrow AI, it is expected that it can only perform what it is designed to do. A program meant to detect spam or recognize facial features cannot also be expected to play chess, compose songs, and record shows to watch in the future. The Fundamentals of Artificial Intelligence diploma course aims to remove AI's mystery so that the learners can develop a better in-depth understanding of the technology. The Fundamentals of Artificial Intelligence diploma course consists of an introduction that includes all the basic concepts in AI that will enable you to see what things are possible and what are not within the technology. It will also help you understand the effects of AI on our daily lives. After completing the Fundamentals of Artificial Intelligence diploma course, you will be able to define AI, discuss it, evaluate AI claims, explain the technologies that underpin AI, such as neural networks and machine learning, and understand the main implications of AI. The Fundamentals of Artificial Intelligence diploma course will also discuss AI's concerns and issues like biases, ethics, and jobs. You will also get expert advice regarding learning about AI and beginning a profession in AI-related fields. The fundamentals of Artificial Intelligence diploma does not demand that you have any expertise in computer science or programming. It is simply meant to introduce to you the essentials and basics in the field, regardless of whether you possess a technical background. We aim to encourage as many people as possible from all backgrounds to learn about artificial intelligence, what it is, what it can or cannot do, and how one can start creating methods of AI. The course is flexible and can be studied and completed at whatever pace you are comfortable with. What you will learn   1: An introduction to AI and data  2: Algorithms and Hardware  3: Uses of AI in computer applications and common processes  4: Using AI for medical needs  5: AI helping improve human interactions  6: Data analysis for AI  7: Machine learning and deep learning in AI  8: AI in hardware applications  9: AI as a nonstarter  10: AI in outer space  Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

Description Robotics Fundamentals Diploma Introducing the Robotics Fundamentals Diploma, an innovative online course tailored for those keen on learning the nuances of modern robotics. This programme is an unparalleled journey into the captivating world of machines, sensors, and algorithms that are shaping the future. Begin with a comprehensive introduction to robotics, setting a solid foundation for your studies. Grasping the basics is paramount, and this diploma ensures learners obtain a deep understanding of these core principles. Next, the course navigates the broader expanse of robotics fundamentals. Here, individuals grasp the intricacies that lie at the heart of these machines. Every robot, from the simplest to the most complex, relies on sensors and actuators. Delving into this topic, this diploma teaches students about their pivotal role in robotics. From sensing external stimuli to initiating precise movements, these components are the nerve centres of any robotic system. The beauty of a robot lies in its movements. Thus, the segments on mechanisms and kinematics elucidate the physical aspects that contribute to their agile motion. Pair this with a detailed analysis of the dynamics and control of robots, and one gets a holistic view of how these machines function and interact with their surroundings. But, how do robots determine their course of action? That's where the module on path planning and navigation comes into play. It allows learners to comprehend how robots chart their routes and avoid obstacles, ensuring smooth and efficient operations. Manipulation and grasping are fundamental robotic tasks, especially in industrial settings. This diploma elaborates on the strategies and techniques robots use to handle objects, ensuring they can efficiently interact with the physical world around them. As we delve further into the modern realm of robotics, the role of computer vision becomes unmistakably evident. This course unravels its significance, showcasing how robots perceive and interpret visual information, ensuring accurate responses to their environment. In today's age, no study of robotics is complete without addressing artificial intelligence and machine learning. These are the cognitive components that arm robots with 'thinking' capabilities. This module of the Robotics Fundamentals Diploma delves deep into the integration of these technologies in robotics, offering insights into how machines learn, adapt, and make decisions. Lastly, as with any forward-looking course, the programme concludes with a session on emerging trends and applications of robotics. From healthcare to space exploration, learners are acquainted with the innovative ways robots are being employed to redefine the boundaries of possibility. In summary, the Robotics Fundamentals Diploma offers a comprehensive online learning experience. Whether you're a budding engineer, a tech enthusiast, or simply someone curious about the robotic world, this course promises to equip you with the knowledge and skills necessary to navigate this ever-evolving landscape. Sign up today and embark on an enlightening journey into the realm of robotics. What you will learn 1:Introduction to Robotics 2:Robotics Fundamentals 3:Sensors and Actuators in Robotics 4:Mechanisms and Kinematics 5:Dynamics and Control of Robots 6:Path Planning and Navigation 7:Manipulation and Grasping 8:Computer Vision in Robotics 9:Artificial Intelligence and Machine Learning in Robotics 10:Emerging Trends and Applications of Robotics Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

Learn the Microservices overall Architecture, Building Blocks, Key Advantages, Challenges and Industry Case Studies

24 Hours Left! Don't Let Winter Sale Slip Away - Enrol Now! With over 100,000 civil engineers in the UK, the demand for data-savvy professionals is high. According to a recent study, 72% of UK civil engineering firms are investing in data analytics to enhance decision-making processes, with data engineering experiencing a 40% year-on-year growth. This surge outpaces other tech sectors, highlighting the critical role of data engineers in big data and advanced analytics. This Data Engineering bundle empowers you to capitalise on this growing trend, equipping you with the proficiency to extract valuable insights from vast datasets, optimise project planning, and enhance overall efficiency. Embark on a transformative journey with our Data Engineering Bundle, thoroughly crafted to bridge the skill gap in one of the UK's fastest-growing job markets. Our bundle offers a comprehensive exploration into the world of data, equipping you with the analytical prowess to harness, process, and visualise data effectively. From mastering SQL programming to delving into the complexities of machine learning with R, this bundle is your gateway to becoming a data engineering maestro. In today's data-driven landscape, possessing a robust set of analytical skills is no longer a luxury but a necessity. With an emphasis on Data engineering, our courses are designed to foster a deep understanding of data analytics, visualisation, and mining, ensuring you can convert raw data into strategic insights that propel business decisions. Seize the opportunity to be at the helm of innovation and become the architect of tomorrow's data landscape with our Data Engineering Bundle. Join us now! Courses are Included in This Data Engineering Bundle: Course 01: Introduction to Data Analysis Course 02: Data Science & Machine Learning with R Course 03: Data Analytics with Tableau Course 04: SQL Programming Masterclass Course 05: Excel Pivot table for Data analytics Course 06: Data analytics with Excel Course 07: Python for Data Analysis Course 08: Basic Google Data Studio Course 09: Business Intelligence and Data Mining Masterclass Course 10: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query Course 11: JavaScript Functions for Data Analyst Course 12: GDPR Data Protection Level 5 Course 13: GDPR Training Course 14: Learn Programming with Python Course 15: Data Center Training Essentials: General Introduction Course 16: Quick Data Science Approach from Scratch Course 17: Statistics & Probability for Data Science & Machine Learning Course 18: Master JavaScript with Data Visualization Course 19: Excel Data Tools and Data Management Course 20: Cloud Computing Essentials for Data Analysis Learning Outcomes of Data Engineering Bundle: Gain proficiency in SQL for complex database management and analytics tasks. Master R for data science and machine learning applications in various industries. Develop advanced Excel skills, including data analytics and pivot table expertise. Acquire hands-on experience with Tableau for effective data visualisation. Learn Python programming essentials for data analysis and engineering solutions. Understand Google Data Studio to create dynamic reports and dashboards. Why Choose Our Data Engineering Course? FREE Data Engineering certificate accredited Get a free student ID card with Data Engineering Training Get instant access to this Data Engineering course. Learn Data Engineering from anywhere in the world The Data Engineering is affordable and simple to understand The Data Engineering is an entirely online, interactive lesson with voiceover audio Lifetime access to the Data Engineering course materials The Data Engineering comes with 24/7 tutor support Start your learning journey straightaway with our Data Engineering Bundle! This Data Engineering bundle will equip you with the skills and knowledge to become a data-savvy civil engineer. You will learn how to collect, analyze, and interpret data to improve infrastructure projects and processes. This Data Engineering bundle includes courses on data analysis, data science, machine learning, SQL programming, Excel pivot tables, Excel data analytics, Python for data analysis, Google Data Studio, business intelligence, data mining, GDPR data protection, JavaScript functions for data analysts, and Python programming. Assessment Process of Data Engineering Once you have completed all the courses in the Data Engineering bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 200 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data Engineering bundle is suitable for everyone. Also, our Data Engineering Bundle is perfect for: Aspiring data engineers Business intelligence analysts Data-driven marketers IT professionals Statistics enthusiasts Career changers Requirements You will not need any prior background or expertise in the Data Engineering Bundle. Career path This Data Engineering bundle will allow you to kickstart or take your career to the next stage in the related sector such as: Data Analyst BI Developer ML Engineer Data Scientist Database Administrator Data Strategist Certificates CPD Accredited Digital Certificate Digital certificate - Included CPD Accredited Hard Copy Certificate Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP for each certificate as an international delivery charge.

Elasticsearch and Elastic Stack are important tools for managing massive data. You need to know the problems it solves and how it works to design the best systems and be the most valuable engineer you can be. Explore Elasticsearch 8 and learn to manage operations on your Elastic Stack with this comprehensive course. This course covers it all, from installation to operations.

Register on the Machine Learning in Flutter 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 a digital certificate as a proof of your course completion. The Machine Learning in Flutter course 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 Machine Learning in Flutter Course 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 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 After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. 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 Machine Learning in Flutter course, 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 Unit 01: Introduction Module 01: Course Curriculum 00:02:00 Unit 02: Image Picker and Camera Libraries Module 01: Image Picker Library for Flutter App Development 00:13:00 Module 02: Flutter Image Picker Application Testing 00:01:00 Module 03: Camera Package Setup for Flutter 00:04:00 Module 04: Flutter Camera Package Code 00:08:00 Unit 03: Firebase ML Kit Module 01: Firebase ML kit section Introduction 00:01:00 Module 02: Firebase ML Kit introduction 00:02:00 Unit 04: Image Labeling using ML Kit Module 01: Flutter Image Labeling Section Introduction 00:02:00 Module 02: Importing Starter code for image labeling 00:03:00 Module 03: Image labeling starter code explanation 00:06:00 Module 04: Creating firebase project for image labeling 00:06:00 Module 05: Adding Firebase ML Vision library in Flutter Application 00:10:00 Module 06: Testing Firebase Image labeling application 00:01:00 Module 07: Importing Image Labeling live feed application starter code 00:03:00 Module 08: Flutter Camera Package Code 00:06:00 Module 09: Flutter Image Labeling live feed application code 00:08:00 Module 10: Flutter Image labeling live feed application testing 00:01:00 Unit 05: Section Barcode Scanning Module 01: Flutter Barcode Scanning Section Introduction 00:02:00 Module 02: Importing Starter code for Flutter Barcode Scanning 00:03:00 Module 03: Flutter Barcode Scanning code 00:11:00 Module 04: Flutter Barcode Scanning Application Testing 00:01:00 Module 05: Flutter Barcode Scanning Live Feed Application code 00:08:00 Module 06: Flutter Barcode Scanning Live feed Application Testing 00:01:00 Unit 06: Section Text Recognition Module 01: Flutter Text Recognition Section Introduction 00:01:00 Module 02: Importing Starter code for Flutter Text Recognition 00:03:00 Module 03: Writing Flutter Text Recognition Code 00:09:00 Module 04: Testing Flutter Text Recognition Application 00:01:00 Unit 07: Section Face Detection Module 01: Flutter Face Detection Section Introduction 00:02:00 Module 02: Flutter Face Detection Application Flow 00:01:00 Module 03: Flutter Face Detection code 00:06:00 Module 04: Flutter drawing rectangles around detected faces 00:05:00 Unit 08: Pretrained Tensorflow lite models Module 01: Pretrained Tensorflow lite models Section Introduction 00:02:00 Unit 09: Section Image Classification Module 01: Flutter Image classification Section introduction 00:02:00 Module 02: Importing Starter code for Flutter Image classification application 00:03:00 Module 03: Starter code explanation for Flutter Image classification 00:06:00 Module 04: Writing flutter image classification code 00:13:00 Module 05: Testing flutter image classification application 00:02:00 Module 06: Importing Flutter live feed Image classification application starter code 00:03:00 Module 07: Starter code explanation of Flutter Live feed Image classification application 00:05:00 Module 08: Writing Flutter Image classification code 00:11:00 Module 09: Testing live feed image classification flutter application 00:01:00 Unit 10: Section object detection Module 01: Flutter Object detection section introduction 00:02:00 Module 02: Importing Application code object detection flutter 00:05:00 Module 03: Flutter Object detection code 00:13:00 Module 04: Flutter Drawing Rectangles around detected objects 00:04:00 Module 05: Importing the code for live feed object detection flutter application 00:02:00 Module 06: Testing object detection live feed flutter application 00:01:00 Module 07: Flutter Live feed object detection application code 00:10:00 Unit 11: Section human pose estimation Module 01: Flutter Pose estimation section introduction 00:02:00 Module 02: Importing Flutter Pose estimation Application code 00:04:00 Module 03: Flutter Pose estimation code 00:10:00 Module 04: Importing pose estimation live feed flutter application code 00:02:00 Module 05: Flutter Live feed pose estimation application demo 00:09:00 Module 06: Using PoseNet model for Flutter Live feed pose estimation application 00:08:00 Unit 12: Image segmentation section Module 01: Flutter Image Segmentation Section Introduction 00:02:00 Module 02: Importing Flutter Image Segmentation Application code 00:03:00 Module 03: Flutter using DeepLab model for image segmentation 00:09:00 Unit 13: Section Training Image Classification Models Module 01: Section Introduction 00:02:00 Module 02: Machine Learning and Image classification 00:02:00 Unit 14: Dog Breed Classification Module 01: Flutter getting the dataset for model training 00:05:00 Module 02: Flutter Training the model 00:06:00 Module 03: Flutter Dog Breed Classification Application 00:18:00 Module 04: Flutter Live feed dog breed classification application 00:03:00 Module 05: Testing live feed dog breed classification application 00:01:00 Unit 15: Fruits Recognition using Transfer Learning Module 01: Transfer learning introduction 00:02:00 Module 02: Flutter getting the dataset for model training 00:05:00 Module 03: Flutter Training fruit recognition model 00:09:00 Module 04: Flutter Testing Live feed fruits recognition application 00:01:00 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.

Description Register on the Machine Learning Model Using AWS SageMaker Canvas 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 a certificate as proof of your course completion. The Machine Learning Model Using AWS SageMaker Canvas course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablets, 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 This Course Receive a digital 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) Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment You need to attend an assessment right after the completion of this course to evaluate your progression. For passing the assessment, you need to score at least 60%. After submitting your assessment, you will get feedback from our experts immediately. Who Is This Course For The course is ideal for those who already work in this sector or are aspiring professionals. 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.   Course Content Introduction To Machine Learning What is Machine Learning? 00:04:00 Introduction To AWS What is Amazon Web Services (AWS)? 00:01:00 Signing into AWS Console 00:02:00 Introduction To SageMaker What is SageMaker, and how it is used for Machine Learning? 00:03:00 What is SageMaker Canvas? 00:03:00 Setup SageMaker Domain and User Setup 00:04:00 Setup Data in S3 Buckets for use in SageMaker 00:03:00 SageMaker Canvas Interface Walkthrough Navigating in SageMaker Canvas 00:02:00 Project 01: Banknote Authentication Adding Training Data 00:03:00 Building and Using Model for Prediction 00:03:00 Predict Single & Batch Dataset 00:07:00 Validating Accuracy of Batch Predictions 00:02:00 Project 02: Spam SMS Detection Adding Train & Test Data 00:01:00 Building and Using Model for Prediction 00:03:00 Predicting Data and Validating Accuracy 00:02:00 Project 03: Customer Churn Prediction Adding Data 00:02:00 Building Model 00:03:00 Performing & Validating Predictions 00:04:00 Project 04: Wine Quality Prediction Adding & Joining Datasets 00:04:00 Building Model 00:03:00 Predicting Test Data 00:02:00 Assignment White Wine Quality Prediction 00:02:00 Other Important Features In SageMaker Canvas Versioning 00:04:00 Congratulations & Next Steps Getting Datasets for Practice 00:04:00 Getting Help on SageMaker Canvas 00:04:00 Congratulations & Thankyou 00:01:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 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.

Register on the Spatial Data Visualization and Machine Learning in Python 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 Spatial Data Visualization and Machine Learning in Python 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 Spatial Data Visualization and Machine Learning in Python 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 Spatial Data Visualization and Machine Learning in Python, 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 00:14:00 Section 02: Setup and Installations Python Installation 00:03:00 Installing Bokeh 00:04:00 Section 03: Data Preparation Data Preparation 00:24:00 Section 04: Data Visualization Creating a Bar Chart 00:18:00 Creating a Line Chart 00:12:00 Creating a Doughnut Chart 00:22:00 Creating a Magnitude Plot 00:31:00 Creating a Geo Map Plot 00:20:00 Section 05: Machine Learning Data Pre-processing 00:21:00 Building a Predictive Model 00:21:00 Building a Prediction Dataset 00:07:00 Section 06: Building the Dashboard Adding predicted data to our plots - Part 1 00:13:00 Adding predicted data to our plots - Part 2 00:14:00 Adding predicted data to our plots - Part 3 00:15:00 Adding the Grid Plot 00:08:00 Section 07: Creating the Dashboard Server Installing Visual Studio Code 00:01:00 Creating the Project and Virtual Environment 00:08:00 Building and Running the Server 00:12:00 Section 08: Project Source Code Project Source Code 00:00:00 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.

48-Hour Knowledge Knockdown! Prices Reduced Like Never Before! Have you ever looked at a map and wondered how it was created? Have you ever wanted to gain the skills to analyse spatial data? Look no further than our Spatial Analysis in ArcGIS bundle. With our QLS-endorsed Spatial Analysis in ArcGIS course, you'll gain a deep understanding of geographic information systems and how to utilise ArcGIS software for spatial data analysis. Plus, receive a free QLS hardcopy certificate upon completion, an essential addition to your credentials. But the learning doesn't stop there. Our bundle includes ten more relevant courses, all CPD-QS accredited. From ArcGIS for Hydrology to Web Scraping and Mapping Dam Levels in Python and Leaflet, you'll gain a comprehensive skill set in the field of spatial analysis. Don't just take our word for it. Our courses have been meticulously designed by experienced people to provide you with a theoretical understanding of the subject matter. And with our user-friendly platform, you can learn at your own pace and convenience. Unlock the power of spatial analysis with our bundle today. Enrol now and start your journey towards becoming a skilled spatial analyst. This Spatial Analysis in ArcGIS Bundle Package includes: Course 01: Award in Spatial Analysis in ArcGIS at QLS Level 2 10 Premium Additional CPD QS Accredited Courses - Course 01: ArcGIS for Hydrology Course 02: Remote Sensing in ArcGIS Course 03: QGIS Cartography Course 04: Business Intelligence and Data Mining Diploma Course 05: Python Data Science Course 06: Spatial Data Visualization and Machine Learning in Python Level 4 Course 07: Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4 Course 08: Learn to Use Python for Spatial Analysis in ArcGIS Course 09: Maps in R Shiny and Leaflet Course 10: The Basics of ArcGIS for Hydrology Why Prefer This Spatial Analysis in ArcGIS Bundle? You will receive a completely free certificate from the Quality Licence Scheme Option to purchase 10 additional certificates accredited by CPD Get a free Student ID Card - (£10 postal charges will be applicable for international delivery) Free assessments and immediate success results 24/7 Tutor Support After taking this Spatial Analysis in ArcGIS bundle courses, you will be able to learn: Develop a comprehensive understanding of spatial analysis and its applications in the industry. Gain practical experience using ArcGIS software for spatial data analysis and hydrology. Learn to use remote sensing techniques in ArcGIS for data collection and analysis. Master the art of cartography using QGIS software. Gain expertise in business intelligence, data mining, and data science using Python. Explore spatial data visualisation and machine learning using Python. Learn how to use R Shiny and Leaflet for creating interactive maps. ***Curriculum breakdown of Spatial Analysis in ArcGIS*** Module 01: Point Density Analysis Module 02: Raster Calculator and Vector Isolation Module 03: Raster to Topography Module 04: Raster Reclassification Module 05: Raster Overlay Module 06: Slope Analysis and Hydrology tools Module 07: Introduction to TIFF Files Module 08: Introduction to 3D Surfaces Module 09: Satellite Images and TIN Surfaces Module 10: Exercise How is the Spatial Analysis in ArcGIS Bundle Assessment Process? You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you successfully pass the exams CPD 160 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Professionals looking to expand their skill set in the field of spatial analysis. Graduates seeking to enhance their employability in the GIS industry. Individuals seeking to understand spatial data analysis for research purposes. Students pursuing a degree in GIS or a related field. Career path This bundle will be beneficial for anyone looking to pursue a career as: GIS Analyst: £22,000 - £35,000 per annum. GIS Developer: £30,000 - £50,000 per annum. Spatial Data Scientist: £30,000 - £70,000 per annum. Data Analyst: £25,000 - £40,000 per annum. Business Intelligence Analyst: £35,000 - £60,000 per annum. Hydrologist: £25,000 - £40,000 per annum. Certificates Award in Spatial Analysis in ArcGIS at QLS Level 2 Hard copy certificate - Included After successfully completing the course, you can order an original hardcopy Certificate of Achievement endorsed by the Quality Licence Scheme. This certificate will be delivered to your home, free of charge. To obtain the additional Quality Licence Scheme Endorsed Certificate, you will need to pay the corresponding fee based on the level of the courses: Level 1: £59 Level 2: £79 Level 3: £89 Level 4: £99 Level 5: £119 Level 6: £129 Level 7: £139 CPD QS Accredited Certificate Digital certificate - £10 Upon successfully completing the Bundle, you will need to place an order to receive a PDF Certificate for each course within the bundle. These certificates serve as proof of your newly acquired skills, accredited by CPD QS and will cost you £10 for each course. Also, the certificates are recognised throughout the UK and internationally. CPD QS Accredited Certificate Hard copy certificate - £29 International students are subject to a £10 delivery fee for their orders, based on their location.