138 Data Processing courses in Nottingham delivered Online

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Architects and operators who build and manage data analytics pipelines Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a batch data analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Introduction to Amazon EMR Using Amazon EMR in analytics solutions Amazon EMR cluster architecture Interactive Demo 1: Launching an Amazon EMR cluster Cost management strategies Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage Storage optimization with Amazon EMR Data ingestion techniques Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR Apache Spark on Amazon EMR use cases Why Apache Spark on Amazon EMR Spark concepts Interactive Demo 2: Connect to an EMR cluster and perform Scala commands using the Spark shell Transformation, processing, and analytics Using notebooks with Amazon EMR Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive Using Amazon EMR with Hive to process batch data Transformation, processing, and analytics Practice Lab 2: Batch data processing using Amazon EMR with Hive Introduction to Apache HBase on Amazon EMR Module 5: Serverless Data Processing Serverless data processing, transformation, and analytics Using AWS Glue with Amazon EMR workloads Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions Module 6: Security and Monitoring of Amazon EMR Clusters Securing EMR clusters Interactive Demo 3: Client-side encryption with EMRFS Monitoring and troubleshooting Amazon EMR clusters Demo: Reviewing Apache Spark cluster history Module 7: Designing Batch Data Analytics Solutions Batch data analytics use cases Activity: Designing a batch data analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures

Duration 4 Days 24 CPD hours This course is intended for This class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.

Duration 2 Days 12 CPD hours This course is intended for This training is ideally suited for data analysts, IT professionals, and software developers who seek to augment their data processing and analytics capabilities. It will also benefit system administrators and data engineers who wish to harness Elastic Stack's functionalities for efficient system logging, monitoring, and robust data visualization. With a focus on practical application, this course is perfect for those aspiring to solve complex data challenges in real-time environments across diverse industry verticals. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll explore: New features and updates introduced in Elastic Stack 7.0 Fundamentals of Elastic Stack including Elasticsearch, Logstash, and Kibana Useful tips for using Elastic Cloud and deploying Elastic Stack in production environments How to install and configure an Elasticsearch architecture How to solve the full-text search problem with Elasticsearch Powerful analytics capabilities through aggregations using Elasticsearch How to build a data pipeline to transfer data from a variety of sources into Elasticsearch for analysis How to create interactive dashboards for effective storytelling with your data using Kibana How to secure, monitor and use Elastic Stack's alerting and reporting capabilities The Elastic Stack is a powerful combination of tools for techniques such as distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and capabilities that will enable you to find unique insights into analytics using these techniques. Geared for experienced data analysts, IT professionals, and software developers who seek to augment their data processing and analytics capabilities, Working with Elasticsearch will explore how to use Elastic Stack and Elasticsearch efficiently to build powerful real-time data processing applications. Throughout the two-day hands-on course, you?ll explore the power of this robust toolset that enables advanced distributed search, analytics, logging, and visualization of data, enabled by new features in Elastic Stack 7.0. You?ll delve into the core functionalities of Elastic Stack, understanding the role of each component in constructing potent real-time data processing applications. You?ll gain proficiency in Elasticsearch for distributed searching and analytics, Logstash for logging, and Kibana for compelling data visualization. You?ll also explore the art of crafting custom plugins using Kibana and Beats, and familiarize yourself with Elastic X-Pack, a vital extension for effective security and monitoring. The course also covers essentials like Elasticsearch architecture, solving full-text search problems, data pipeline building, and creating interactive Kibana dashboards. Learn how to deploy Elastic Stack in production environments and explore the powerful analytics capabilities offered through Elasticsearch aggregations. The course will also touch upon securing, monitoring, and utilizing Elastic Stack's alerting and reporting capabilities. Hands-on labs, captivating demonstrations, and interactive group activities enrich your learning journey throughout the course. Introducing Elastic Stack What is Elasticsearch, and why use it? Exploring the components of the Elastic Stack Use cases of Elastic Stack Downloading and installing Getting Started with Elasticsearch Using the Kibana Console UI Core concepts of Elasticsearch CRUD operations Creating indexes and taking control of mapping REST API overview Searching - What is Relevant The basics of text analysis Searching from structured data Searching from the full text Writing compound queries Modeling relationships Analytics with Elasticsearch The basics of aggregations Preparing data for analysis Metric aggregations Bucket aggregations Pipeline aggregations Substantial Lab and Case Study Analyzing Log Data Log analysis challenges Using Logstash The Logstash architecture Overview of Logstash plugins Ingest node Visualizing Data with Kibana Downloading and installing Kibana Preparing data Kibana UI Timelion Using plugins

Delve into the intricacies of data protection with this General Data Protection Regulation (GDPR) course. By the end of this comprehensive programme, you will master essential concepts and practices vital for safeguarding data in compliance with GDPR. You will gain a good understanding of personal and sensitive data, decipher GDPR obligations, and grasp the nuances of obtaining valid consent. You'll explore GDPR data processing principles and dive into the rights of individuals, including 'subject access requests' and the right to erasure. Finally, you'll learn to differentiate between PECR and GDPR, identify organisational obligations, and comprehend the repercussions of data breaches.

General Data Protection Regulation Training Course Overview Are you looking to begin your General Data Protection Regulation or GDPR career or want to develop more advanced skills in General Data Protection Regulation or GDPR? Then this general data protection regulation online training course will set you up with a solid foundation to become a confident data controller or data protection officer and help you to develop your expertise in General Data Protection Regulation or GDPR. This general data protection regulation online training course is accredited by the CPD UK & IPHM. CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Whether you are self-taught and you want to fill in the gaps for better efficiency and productivity, this general data protection regulation online training course will set you up with a solid foundation to become a confident data controller or data protection officer and develop more advanced skills. Gain the essential skills and knowledge you need to propel your career forward as a data controller or data protection officer. The general data protection regulation online training course will set you up with the appropriate skills and experience needed for the job and is ideal for both beginners and those currently working as a data controller or data protection officer. This comprehensive general data protection regulation online training course is the perfect way to kickstart your career in the field of General Data Protection Regulation or GDPR. This general data protection regulation online training course will give you a competitive advantage in your career, making you stand out from all other applicants and employees. If you're interested in working as a data controller or data protection officer or want to learn more skills on General Data Protection Regulation or GDPR but unsure of where to start, then this general data protection regulation online training course will set you up with a solid foundation to become a confident data controller or data protection officer and develop more advanced skills. As one of the leading course providers and most renowned e-learning specialists online, we're dedicated to giving you the best educational experience possible. This general data protection regulation online training course is crafted by industry expert, to enable you to learn quickly and efficiently, and at your own pace and convenience. Who should take this course? This comprehensive general data protection regulation online training course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of General Data Protection Regulation or GDPR. Entry Requirement There are no academic entry requirements for this general data protection regulation online training course, and it is open to students of all academic backgrounds. As long as you are aged seventeen or over and have a basic grasp of English, numeracy and ICT, you will be eligible to enrol. Method of Assessment On successful completion of the course, you will be required to sit an online multiple-choice assessment. The assessment will be evaluated automatically and the results will be given to you immediately. Career path This general data protection regulation online training course opens a brand new door for you to enter the relevant job market and also provides you with the chance to accumulate in-depth knowledge at the side of needed skills to become flourishing in no time. You will also be able to add your new skills to your CV, enhance your career and become more competitive in your chosen industry. Course Curriculum Introduction Trainer Introduction and Course Outline Why Data Protection. What Exactly is Why Deal with Data Protection Anyway. How is the Protection of Data Guaranteed. The Five Basic Principles of Data Protection Introduction Principle 1: Prohibition of Data Processing and Exceptions to Consent Principle 2: Purpose of Data Collection Principle 3: Data Collection Limits Principle 4: Data Security Principle 5: Transparency Summary The Foundations of Data Processing Introduction Data Processing with Consent Data Processing without Consent Rights of Data Subjects Rights of Data Subjects Responsibility of Data Controller or Processor Introduction Maintaining a Record of Processing Activities Technical and Organizational Measures (TOM) Data Processing Data Breaches Summary The Data Protection Officer The Data Protection Officer Summary Summary Recognised Accreditation CPD Certification Service This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Quality Licence Scheme Endorsed The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees.     Certificate of Achievement Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

Duration 1 Days 6 CPD hours This course is intended for This course is intended for the following participants:Cloud professionals interested in taking the Data Engineer certification exam.Data engineering professionals interested in taking the Data Engineer certification exam. Overview This course teaches participants the following skills: Position the Professional Data Engineer Certification Provide information, tips, and advice on taking the exam Review the sample case studies Review each section of the exam covering highest-level concepts sufficient to build confidence in what is known by the candidate and indicate skill gaps/areas of study if not known by the candidate Connect candidates to appropriate target learning This course will help prospective candidates plan their preparation for the Professional Data Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, quizzes, and discussions, candidates will familiarize themselves with the domain covered by the examination, to help them devise a preparation strategy. Rehearse useful skills including exam question reasoning and case comprehension. Tips and review of topics from the Data Engineering curriculum. Understanding the Professional Data Engineer Certification Position the Professional Data Engineer certification among the offerings Distinguish between Associate and Professional Provide guidance between Professional Data Engineer and Associate Cloud Engineer Describe how the exam is administered and the exam rules Provide general advice about taking the exam Sample Case Studies for the Professional Data Engineer Exam Flowlogistic MJTelco Designing and Building (Review and preparation tips) Designing data processing systems Designing flexible data representations Designing data pipelines Designing data processing infrastructure Build and maintain data structures and databases Building and maintaining flexible data representations Building and maintaining pipelines Building and maintaining processing infrastructure Analyzing and Modeling (Review and preparation tips) Analyze data and enable machine learning Analyzing data Machine learning Machine learning model deployment Model business processes for analysis and optimization Mapping business requirements to data representations Optimizing data representations, data infrastructure performance and cost Reliability, Policy, and Security (Review and preparation tips) Design for reliability Performing quality control Assessing, troubleshooting, and improving data representation and data processing infrastructure Recovering data Visualize data and advocate policy Building (or selecting) data visualization and reporting tools Advocating policies and publishing data and reports Design for security and compliance Designing secure data infrastructure and processes Designing for legal compliance Resources and next steps Resources for learning more about designing data processing systems, data structures, and databases Resources for learning more about data analysis, machine learning, business process analysis, and optimization Resources for learning more about data visualization and policy Resources for learning more about reliability design Resources for learning more about business process analysis and optimization Resources for learning more about reliability, policies, security, and compliance Additional course details: Nexus Humans Preparing for the Professional Data Engineer Examination 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 Preparing for the Professional Data Engineer Examination 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.

Level 3 QLS Endorsed Course with Certificate | CPD Accredited | 120 CPD Points | Lifetime Access

Description Geospatial Mapping Diploma Introducing the Geospatial Mapping Diploma, a premium online course tailored for those eager to gain a deep understanding of the intricacies of geospatial science and its applications. As the world grows more interconnected and dependent on accurate geospatial data, the value of possessing the right knowledge and skills in this field becomes paramount. The Geospatial Mapping Diploma is meticulously designed to guide learners through a comprehensive exploration of the geospatial realm. From grasping the foundational concepts of geospatial science to delving into the latest trends and innovations, the course ensures a thorough, well-rounded experience. To begin with, learners are welcomed with an 'Introduction to Geospatial Science'. This module lays the groundwork, setting the stage for what promises to be an exciting educational journey. As participants progress, they'll be introduced to the core aspects of 'Geospatial Data Collection and Sources', helping them understand where and how geospatial data originates. No geospatial course would be complete without a thorough explanation of Geographic Information Systems (GIS). Hence, the 'Geographic Information Systems (GIS) Basics' module equips learners with the essential tools and knowledge required to navigate and utilise GIS platforms effectively. One of the most captivating sections of the Geospatial Mapping Diploma revolves around 'Remote Sensing Techniques'. Here, learners are shown the art and science of obtaining information about objects or areas from a distance, typically from aircraft or satellites. The course doesn't stop there. 'Digital Elevation Models and Terrain Analysis' provide insights into the world of topography and the significance of understanding terrain in geospatial analyses. This is closely followed by a module dedicated to 'Geospatial Data Processing and Analysis', ensuring learners are well-versed in handling, processing, and drawing meaningful conclusions from geospatial data. As we move into an era where the internet governs much of our activities, the importance of 'Web GIS and Geospatial Cloud Platforms' cannot be overstated. This module showcases how geospatial technologies have evolved to fit into our web-driven world, providing tools and platforms that are accessible and user-friendly. One of the standout features of the Geospatial Mapping Diploma is its emphasis on practical applications. This is evident in the modules 'Geospatial Technologies in Urban Planning' and 'Environmental and Conservation Applications'. Here, students can see the real-world implications and uses of their knowledge, from city planning to environmental conservation efforts. Finally, to ensure that learners are not just rooted in the present, the course concludes with 'Future Trends and Innovations in Geospatial Science'. This module paints a picture of what the future might hold, ensuring that graduates of the Geospatial Mapping Diploma are not only well-equipped for today but are also prepared for the advancements of tomorrow. In conclusion, the Geospatial Mapping Diploma offers an unparalleled online learning experience. Designed for both beginners and those with some prior knowledge, this course ensures a comprehensive grasp of geospatial science and its vast applications. Equip yourself with the skills and knowledge the future demands and embark on a journey of geospatial discovery today. What you will learn 1:Introduction to Geospatial Science 2:Geospatial Data Collection and Sources 3:Geographic Information Systems (GIS) Basics 4:Remote Sensing Techniques 5:Digital Elevation Models and Terrain Analysis 6:Geospatial Data Processing and Analysis 7:Web GIS and Geospatial Cloud Platforms 8:Geospatial Technologies in Urban Planning 9:Environmental and Conservation Applications 10:Future Trends and Innovations in Geospatial Science 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.

GDPR : GDPR Training Online Do you worry about how your business will comply with the General Data Protection Regulation (GDPR)? If so, you should take our GDPR course. The GDPR training will provide you with all the knowledge and abilities required to comprehend the GDPR field. Our GDPR training delves deep into the nuances of the GDPR to ensure that you comprehend and are able to implement its rules in practical situations. This GDPR course covers the law's obligations, the GDPR application framework, and data subjects' rights. Also, this GDPR instructs on how to communicate with the Supervisory Authorities, enforce the GDPR, and receive fines. This GDPR training also covers special data processing activities and the actual application of GDPR requirements. So, what are you waiting for? The best approach to make sure the organization is GDPR compliant is through our GDPR course. Main Course: GDPR Training Course Free Courses: Course 01: Level 5 Diploma in Cyber Security Course 02: Security Management Diploma Others Benefits of GDPR Training Course Free 03 PDF Certificate Expert Tutor Support Lifetime Access Unlimited Retake Exam [ Note: Free PDF certificate as soon as completing the GDPR Training course ] GDPR: GDPR Training Course Curriculum of GDPR Training Course Industry Experts Designed this GDPR Training course into 09 detailed modules. Module 1: Introduction and Checklist Module 2: Scope of Application of the GDPR Module 3: Organisational Requirements Module 4: Material Requirements Module 5: Rights of Data Subjects Module 6: Interaction with the Supervisory Authorities Module 7: Enforcement and Fines Under the GDPR Module 8: Special Data Processing Activities Module 9: Practical Implementation of the Requirements Under the GDPR Assessment Method of GDPR After completing each module of the GDPR Training Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification of GDPR After completing the MCQ/Assignment assessment for this GDPR Training course, you will be entitled to a Certificate of Completion from Training Tale which is completely free to download. Who is this course for? GDPR : GDPR Training Everyone Requirements GDPR : GDPR Training There are no specific requirements for this GDPR Training course because it does not require any advanced knowledge or skills. Career path GDPR : GDPR Training

The General Data Protection Regulation (GDPR) is a complex piece of legislation that can be difficult to understand. This GDPR bundle course will provide you with the scientific information you need to understand GDPR and its implications for your organization. Learning Outcomes of GDPR Bundle: Understand the key concepts of the GDPR Apply the GDPR to your organization's data processing practices Comply with the GDPR requirements Identify the lawful bases for processing personal data Understand the rights of data subjects Respond to data breaches Understand the responsibilities and obligations of data controllers and processors This GDPR Bundle Consists of the following Premium courses: Course 01: GDPR Course 02: Paralegal Law and Skills Course 03: Compliance Training Course 04: Cyber Security Incident Handling and Incident Response Course 05: Anti Money Laundering (AML) Regulation for AML Officers Course 06: Risk Management Course 07: CompTIA Networking Course 08: Decision Making Course 09: IT for Dummies Course 10: Leadership & Management Diploma Course 11: Time Management Sign up for this course today and start learning about the GDPR! Any business with customers in the EU must comply with GDPR. This GDPR bundle course will cover the key concepts of the GDPR, such as data protection principles, data subject rights, and lawful bases for processing personal data. You will also learn how to apply the GDPR to your organization's data processing practices and how to comply with its requirements. By the end of this GDPR bundle course, you will have the scientific information you need to comply with the GDPR and protect the personal data of your customers and employees. Key Features of This GDPR Course: This GDPR bundle is CPD QS Accredited Learn from anywhere in the world Lifetime access GDPR is entirely online 24/7 Learner support Course Curriculum of GDPR Bundle: Course 01: GDPR GDPR Basics GDPR Explained Lawful Basis for Preparation Rights and Breaches Responsibilities and Obligations =========>>>>> And 10 More Courses <<<<<========= How will I get my GDPR Certificate? After successfully completing the GDPR bundle course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously it was £10 * 11 = £110) Hard Copy Certificate: Free (For The Title Course) P.S. The delivery charge inside the U.K. is £3.99 and international students have to pay £9.99. Enrol in this GDPR bundle course today and start your journey to a successful career! CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This GDPR Bundle Course is for: Data protection officers Compliance officers IT professionals Legal professionals Business owners Anyone who processes personal data Requirements No requirements to enrol on this GDPR bundle course. Career path Having this GDPR bundle course, will increase the value of your CV and open you up to multiple job sectors: Data protection officer: £40,000-£60,000 Compliance officer: £30,000-£50,000 Privacy Officer: £30,000-£50,000 Information security manager: £40,000-£60,000 Cybersecurity specialist: £50,000-£70,000 Data scientist: £40,000-£60,000 Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - £9.99 You will get the Hard Copy certificate for the title course (GDPR) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and international students must pay a £9.99 shipping cost