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Welcome to DataComms Training's Privacy Policy. This policy outlines how we collect, use, disclose, and protect your personal information when you interact with our website and services. By using our website and services, you consent to the practices described in this policy. SCOPE Last Updated: 08 August 2023 This privacy notice applies to any Datacomms Training website, application, service, or tool (collectively "Services") where this privacy notice is referenced, regardless of how you access or use them, including through mobile devices. It also applies to any other communication we may have with you. We do not knowingly attempt to solicit or receive information from children. PERSONAL INFORMATION WE COLLECT WHAT INFORMATION WE COLLECT If you are a training participant, your employer (or other third party paying for training) supplies us with your business contact information: Name, email address, physical address and phone number. Some employers also provide additional identifying information such as an employee ID number. We do not ask for nor do we process sensitive personal information. If you are purchasing training for yourself or interacting with our Services without being a training participant, we collect the contact information you provide. In interacting with our Services, we collect IP address and data associated with cookies. We will also generate information about your use of the services, including creating a record of your training. We do not consider personal information to include information that has been anonymized or aggregated so that it can no longer be used to identify a specific natural person, whether in combination with other information or otherwise. PERSONAL INFORMATION YOU GIVE US WHEN YOU USE OUR SERVICES OR REGISTER FOR AN ACCOUNT WITH US Identifying information such as your name, addresses, telephone number(s) or email address(es) when you register for an account with us Other content that you generate, or that is connected to your account (such as course attendance, course progress, and user preferences) Postage, billing and other information used to purchase or send course materials, invoices, and other information. You may also provide us other information through a web form, by updating or adding information to your account, through your participation in community discussions, member-to-member communications, chats, dispute resolution, or when you otherwise communicate with us regarding our Services Additional information we are required or authorized by applicable national laws to collect and process in order to authenticate or identify you or to verify the information we have collected PERSONAL INFORMATION WE COLLECT AUTOMATICALLY WHEN YOU USE OUR SERVICES OR REGISTER FOR AN ACCOUNT WITH US We collect information about your interaction with our Services. This is information we receive from devices (including mobile devices) you use when you access our Services. This information could include the following: Device ID or unique identifier, device type, and unique device token Computer and connection information such as statistics on your page views, traffic to and from the sites, referral URL, ad data and your IP address. PERSONAL INFORMATION WE COLLECT USING COOKIES AND SIMILAR TECHNOLOGIES We use cookies, web beacons, unique identifiers, and similar technologies to collect information about the pages you view, the links you click, and other actions you take when using our Services, within our website, advertising or email content PERSONAL INFORMATION COLLECTED FROM OTHER SOURCES As described above, we collect contact information from employers and other third parties who make purchases on your behalf. We may supplement the personal information we collect directly with information collected from third parties and add it to your account information. For example, we collect and use demographic and other information that is publicly available in an applicable jurisdiction. Social Media: We allow you to share information with social media sites, or use social media sites to create your account or to connect your account with the respective social media site. Those social media sites may give us automatic access to certain personal information retained by them about you (e.g., content viewed by you, content liked by you, and information about the advertisements you have been shown or have clicked on, etc.). You control the personal information you allow us to have access to through the privacy settings on the applicable social media site and the permissions you give us when you grant us access to the personal information retained by the respective social media site about you. By associating an account managed by a social media site with your account and authorizing us to have access to this information, you agree that we can collect, use and retain the information provided by these social media sites in accordance with this privacy notice. We may also use plug-ins or other technologies from various social media sites. If you click on a link provided via a social media plug in, you are voluntarily establishing a connection with that respective social media site. WHEN INFORMATION IS COLLECTED We collect information when you register for and use the Services. We also collect personal information from you and any devices (including mobile devices) you use when you: use our Services, register for an account with us, provide us information on a web form, update or add information to your account, provide us information at a tradeshow or other event, or when you otherwise correspond with us. We also collect information when orders are placed from the party making the order. This information is typically provided by an employer, but may be provided directly by you or another third party purchasing services on your behalf. YOUR CHOICES ABOUT HOW WE USE YOUR PERSONAL INFORMATION We endeavor to provide you with choices about how we use your personal information to communicate with you, to send you marketing information, and how we provide you with individualized Services and relevant information. There are some instances, however, where the processing of your information may be limited or determined by others. If your data was provided to us by your employer (or other party paying for our Services on your behalf), we will process the data based on the legitimate interests of your employer in having us provide Services to you in the context of that relationship. We may also process your personal information with regard to our legitimate interest in compliance and maintaining business records. You have a right to object to the processing of your personal information in these circumstances by contacting us at info@dct-training.com . BASIS FOR PROCESSING PERSONAL DATA Applicable law in certain countries provides, and this Privacy Statement sets forth, the legal basis upon which we rely in order to process personal data. Legitimate interests: We may rely on our legitimate interests to process your personal data, provided that our interests are not overridden by your interests, fundamental rights, or freedoms. In particular, we may process your personal data in reliance on a legitimate interest in the effective and lawful operation of this Site and our businesses, as well as the effective delivery of information and services to you. We may have other legitimate interests and, if so, we will make clear what those interests are at the relevant point in time. Performance of a contract: Datacomms Training delivers business and IT training to end user students on the basis of a contract with our customers. These contracts provide for the use of personal data of end user students, such as name, email address, and job title, as necessary to effectuate training delivery. Compliance with legal obligations: We may process your personal data if necessary. CONTACT US If you have a question or a complaint about this privacy notice, our global privacy standards, or our information handling practices, you can reach the Datacomms Training Privacy Office in writing at: Datacomms Training , 450 Bath Road, Heathrow, London, UB7 0EB. You can also email our Datacomms Training Privacy Team at info@dct-training.com Consumers may also reach us by phone at (+44) (0) 208 8970346 . We do not discriminate against any consumer based on the exercise of their consumer rights. Call (+44) (0) 208 8970346 Email info@dct-training.com Follow

DCT Cloud Computing Essentials provides insight into how cloud computing enables individuals and organizations to leverage the cost benefits of transitioning from on-premises equipment to cloud solutions, particularly with faster and more reliable internet. This course is ideal for those planning to migrate to the cloud and helps users understand the fundamental concepts of cloud computing related to computing and storage. DCT Data Science Associate What this course is all about. Duration 40 Hours (5 Days) Description The Data Science Associate course is a practical, hands-on course designed to introduce participants to the fundamentals of data science, from data collection and cleaning to analysis, visualization, and basic machine learning. Over 40 hours, participants will learn how to work with real-world datasets using Python, explore data trends, build simple predictive models, and understand how data science integrates with cloud and data engineering workflows. This workshop is ideal for students, cloud professionals, database developers, and administrators looking to expand their skills into the growing field of data science. Audience Profile: Aspiring data engineers Cloud professionals expanding into analytics Database developers and administrators Students beginning their data science journey Prerequisites: Basic programming (Python preferred) Understanding of databases and SQL Familiarity with cloud or Linux environment is a plus Course Objectives By the end of this course, participants will be able to: Understand the data science lifecycle and key roles. Prepare, clean, and explore datasets effectively. Apply exploratory data analysis (EDA) techniques using Python. Build and evaluate basic machine learning models. Use visualization tools to communicate findings. Integrate cloud-based data tools for scalable analysis. Understand the link between data engineering and data science workflows. Course Outline Module 1: Introduction to Data Science and the Data Ecosystem What is Data Science? Data Science vs. Data Engineering vs. Machine Learning The Data Science Lifecycle Key tools and technologies (Python, Jupyter, Pandas, scikit-learn) Overview of roles in data teams Setting up the data science environment Lab Exercises Setting up Jupyter or VS Code notebooks Exploring a sample dataset (CSV) Simple data queries and transformations Module 2: Data Acquisition, Cleaning, and Preparation Types and sources of data (databases, APIs, files, cloud storage) Loading data with Pandas and SQL Data wrangling: handling missing data, duplicates, and outliers Data types and conversions Feature extraction and normalization Intro to ETL and integration with data engineering workflows Lab Exercises Loading data from CSV and SQL databases Cleaning and transforming a messy dataset Writing and executing data cleaning scripts in Python Module 3: Exploratory Data Analysis and Visualization Descriptive statistics and data summaries Correlation, covariance, and feature relationships Visualizing data using Matplotlib and Seaborn Identifying patterns and trends Introduction to hypothesis testing Lab Exercises Plotting and summarizing dataset features Detecting correlations and relationships visually Building a small exploratory data analysis report Module 4: Introduction to Machine Learning Machine learning fundamentals Supervised vs. Unsupervised Learning Model training, validation, and evaluation Classification and regression algorithms Model performance metrics (accuracy, precision, recall, RMSE) Introduction to scikit-learn Lab Exercises Building a regression and classification model Evaluating model accuracy Feature scaling and model tuning basics Module 5: Cloud Data Science and Capstone Project Cloud data science overview (AWS, Azure, GCP) Managed services: SageMaker, Vertex AI, Azure ML Using cloud storage and data warehouses (BigQuery, Redshift, Synapse) Integrating notebooks with cloud platforms Real-world workflow: from data ingestion to insight Capstone Lab (Comprehensive Project) Acquire, clean, and analyze a real dataset Perform EDA and build a predictive model Visualize and present results in a Jupyter notebook Discuss deployment and next steps Tools and Technologies Programming: Python 3.x Libraries: Pandas, NumPy, Matplotlib, Seaborn, scikit-learn Environment: JupyterLab or VS Code Databases: SQLite / PostgreSQL Visualization: Matplotlib, Seaborn, or Plotly Register Now Fill out your contact details below so that we can get in touch with you regarding your Registration Register here

Experience a whole new way to learn. With more than 10 certifiable courses enough to upscale your professional career. 你需要知道什么 数字徽章 获得任何所需课程的高级认证。看一看。 Dacomms Training has partnered with Credly to provide a convenient way for you to showcase your professional accomplishments. Upon course completion, you will now receive a ‘digital badge’ to recognise your achievements. A digital badge is easily shared online, data rich and verified. It is the ideal way to showcase your achievement. The badges help support both individuals and businesses by having an easily identifiable way to recognise talent and reward accomplishments. They offer significant value to professionals by creating a strong visual tool that can help enhance employee recognition as well as strengthen job profiles for those seeking new career opportunities. On successful completion of a Datacomms Training Course and receiving the official certification, individuals will automatically be issued their unique digital badge. The badges are securely stored together and managed by the individual via their user account. From here, the badges can be easily shared via social media and can also be downloaded to verify knowledge, skills and certifications gained, it, therefore, adds valuable credibility to individuals’ professional profiles. 使用 Credly 徽章的好处。 Here are some of the benefits of using Credly digital badges: Recognition: Digital badges can be used to recognize and celebrate learning achievements. This can be a great way to motivate learners and encourage them to continue learning. Verification: Digital badges can be verified to ensure that they are authentic and that the learner has met the requirements for earning the badge. This can be helpful for employers and other organizations that are looking to assess a learner's skills and knowledge. Portability: Digital badges are portable and can be easily shared with others. This makes them a great way to showcase your skills and knowledge to potential employers or clients. Personalization: Digital badges can be personalized to reflect the learner's individual achievements. This can make them more meaningful and motivating for the learner. Overall, Credly digital badges are a valuable tool for recognizing, verifying, and showcasing learning achievements. They can be used by individuals, organizations, and employers to help learners track their progress, build skills, and advance their careers. 基础设施培训 数据中心培训 数据中心培训

DCT Cloud Computing Essentials provides insight into how cloud computing enables individuals and organizations to leverage the cost benefits of transitioning from on-premises equipment to cloud solutions, particularly with faster and more reliable internet. This course is ideal for those planning to migrate to the cloud and helps users understand the fundamental concepts of cloud computing related to computing and storage. DCT Cloud Fundamentals What this course is all about. Course Overview This 3-day hands-on workshop introduces participants to the foundational concepts of cloud computing — including cloud models, deployment architectures, and essential services. Learners will explore real-world use cases, perform guided labs using open-source or free-tier tools, and build confidence in navigating cloud environments. Target Audience IT professionals new to cloud technologies System administrators and developers transitioning to cloud environments Students or tech enthusiasts with general IT knowledge Learning Objectives By the end of the workshop, participants will be able to: Understand core cloud computing concepts and terminology Differentiate between IaaS, PaaS, and SaaS Identify and explain public, private, and hybrid cloud models Use a cloud platform to deploy and manage basic workloads Understand cloud networking, storage, and security fundamentals Estimate and optimize cloud costs Topics Day 1: Introduction to Cloud Concepts and Architecture Module 1: Cloud Fundamentals What is Cloud Computing? Key characteristics (on-demand, elasticity, scalability, pay-as-you-go) The evolution of cloud computing Benefits and challenges Common use cases Module 2: Cloud Service Models Infrastructure as a Service (IaaS) Platform as a Service (PaaS) Software as a Service (SaaS) When to use each model Hands-on Lab 1 (2 hours): Deploying a Virtual Machine using a free-tier or open cloud (e.g., AWS Free Tier, Azure Free, or OpenStack demo) Exploring instance types, regions, and availability zones Module 3: Cloud Deployment Models Public, Private, Hybrid, and Multi-cloud Cloud providers overview: AWS, Azure, Google Cloud, OpenStack Comparing deployment strategies Day 2: Core Cloud Services and Infrastructure Module 4: Cloud Compute, Storage, and Networking Virtual Machines and Containers Object, Block, and File Storage Cloud Networking Basics (VPCs, subnets, routing, security groups) Hands-on Lab 2: Create a virtual network and connect two VMs Configure firewall rules and test connectivity Upload and retrieve files using an object storage bucket Module 5: Cloud Security and Compliance Shared Responsibility Model Identity and Access Management (IAM) Encryption basics (data at rest, in transit) Security best practices Group Activity Design a secure cloud environment for a small business scenario Day 3: Cloud Automation, Management, and Cost Optimization Module 6: Cloud Management and Monitoring Cloud dashboards and CLI tools Resource tagging and organization Monitoring and logging basics Introduction to Infrastructure as Code (IaC) Hands-on Lab 3: Automate VM creation with a simple Terraform or cloud CLI script Monitor instance performance and resource usage Module 7: Cloud Economics and Cost Optimization Pricing models (on-demand, reserved, spot) Estimating cloud costs Cost optimization strategies Tools for budgeting and billing alerts Module 8: Emerging Cloud Trends & Wrap-up Serverless computing overview Containers and Kubernetes basics Edge and hybrid cloud trends Review and final Q&A Register Now Fill out your contact details below so that we can get in touch with you regarding your Registration Register here

Experience a whole new way to learn. With more than 10 certifiable courses enough to upscale your professional career. Experience a whole new way to learn. With more than 10 certifiable courses enough to upscale your professional career. Learn Infrastructure Training today. #data center #Data center training #DCT #datacomms #datacomms training Infrastructure Training Apply Today This is a Paragraph. Click on "Edit Text" or double click on the text box to start editing the content. info@mysite.com 123-456-7890