377 Data Management courses

Come along to this free virtual masterclass to learn about Data Trust Scales and how they can be used to get stakeholders to care about the quality of their data.

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is any IT, facilities or data centre professional who works in and around the data centre and has the responsibility to achieve and improve efficiency and environmental sustainability, whilst maintaining the availability and manageability of the data centre. Overview After completion of the course the participant will be able to: Understand the impact of data centres on the environment Describe the various environmental/energy management standards Understand the purpose and goals of the legally binding international treaties on climate change Implement various sustainable performance metrics and how to use them in the data centre environment Manage data centre environmental sustainability using international standards Set up the measurement, monitoring and reporting of energy usage Use power efficiency indicators in a variety of data centre designs Use best practices for energy savings in the electrical infrastructure and in the mechanical (cooling) infrastructure Use best practices for energy savings for the ICT equipment and data storage Understand the importance of water management and waste management Understand the different ways to use sustainable energy in the data centre Get practical tips and innovative ideas to make a data centre more sustainable The CDESS© course is aimed at providing knowledge of the standards and guidelines related to environmental sustainability, and how to move your data centre (existing or new) to a more environmentally sustainable design and operations. Impact of Data Centres on the Environment Predictions in 2010 Current situation Outlook and commitments What is Environmental Sustainability The importance of sustainability Senior management commitment Environmental sustainability framework Sustainability policies Performance standards and metrics Information policies Transparency Awareness Service charging models Environmental Management Environmental sustainability framework (ISO 14001) Standards and guidelines ? ISO 50001 / ISO 30134 Measurement and categories Baselining Trend analysis Reporting Power Effiðciency Indicators Various eðfficiency indicators Power Usage Effectiveness (PUE) PUE measurement levels Factors affecting PUE Measurement points and intervals PUE in mixed source environments Measuring PUE in a mixed-use building PUE reporting Impact of PUE after optimising IT load Electrical Energy Savings (Electrical) Identifying the starting point for saving energy Sizing of power DC power Generators UPS systems Power Factor (PF) Energy savings on lighting Electrical Energy Savings (Mechanical) Energy savings on the cooling infrastructure Temperature and humidity setpoints Various energy eðcient cooling technologies Energy savings on the airflow Liquid cooling Energy reusage PUE, ERE/ERF and Control Volume Electrical Energy Savings (ICT) Procurement IT equipment energy eðfficiency ITEEsv, SMPE, SMPO IT equipment utilisation Server virtualisation Open compute project Electrical Energy Savings (Data Storage) Data management Data storage management Data storage equipment effiðciency Water Management Water Usage Effectiveness (WUE) Improving WUE Water usage at the power generation source Energy Water Intensity Factor (EWIF) Waste Management Waste management policies Life-cycle assessment (Cradle to the grave) 3 R?s for waste management Reduce Reuse Second-hand market Recycle Sustainable Energy Usage Sustainable energy sources Power purchase agreements Energy attribute certificates Renewable Energy Factor (REF) Matching renewable energy supply and demand Sustainable energy storage Carbon trading Automated Environmental Management Systems Use of AI and machine learning Load migration Data Centre Infrastructure Management (DCIM) solutions

Duration 5 Days 30 CPD hours Overview Mining data Manipulating data Visualizing and reporting data Applying basic statistical methods Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. CompTIA Data+ gives you the confidence to bring data analysis to life. As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive priorities and lead business decision-making. 1 - Identifying Basic Concepts of Data Schemas Identify Relational and Non-Relational Databases Understand the Way We Use Tables, Primary Keys, and Normalization 2 - Understanding Different Data Systems Describe Types of Data Processing and Storage Systems Explain How Data Changes 3 - Understanding Types and Characteristics of Data Understand Types of Data Break Down the Field Data Types 4 - Comparing and Contrasting Different Data Structures, Formats, and Markup Languages Differentiate between Structured Data and Unstructured Data Recognize Different File Formats Understand the Different Code Languages Used for Data 5 - Explaining Data Integration and Collection Methods Understand the Processes of Extracting, Transforming, and Loading Data Explain API/Web Scraping and Other Collection Methods Collect and Use Public and Publicly-Available Data Use and Collect Survey Data 6 - Identifying Common Reasons for Cleansing and Profiling Data Learn to Profile Data Address Redundant, Duplicated, and Unnecessary Data Work with Missing Value Address Invalid Data Convert Data to Meet Specifications 7 - Executing Different Data Manipulation Techniques Manipulate Field Data and Create Variables Transpose and Append Data Query Data 8 - Explaining Common Techniques for Data Manipulation and Optimization Use Functions to Manipulate Data Use Common Techniques for Query Optimization 9 - Applying Descriptive Statistical Methods Use Measures of Central Tendency Use Measures of Dispersion Use Frequency and Percentages 10 - Describing Key Analysis Techniques Get Started with Analysis Recognize Types of Analysis 11 - Understanding the Use of Different Statistical Methods Understand the Importance of Statistical Tests Break Down the Hypothesis Test Understand Tests and Methods to Determine Relationships Between Variables 12 - Using the Appropriate Type of Visualization Use Basic Visuals Build Advanced Visuals Build Maps with Geographical Data Use Visuals to Tell a Story 13 - Expressing Business Requirements in a Report Format Consider Audience Needs When Developing a Report Describe Data Source Considerations For Reporting Describe Considerations for Delivering Reports and Dashboards Develop Reports or Dashboards Understand Ways to Sort and Filter Data 14 - Designing Components for Reports and Dashboards Design Elements for Reports and Dashboards Utilize Standard Elements Creating a Narrative and Other Written Elements Understand Deployment Considerations 15 - Understand Deployment Considerations Understand How Updates and Timing Affect Reporting Differentiate Between Types of Reports 16 - Summarizing the Importance of Data Governance Define Data Governance Understand Access Requirements and Policies Understand Security Requirements Understand Entity Relationship Requirements 17 - Applying Quality Control to Data Describe Characteristics, Rules, and Metrics of Data Quality Identify Reasons to Quality Check Data and Methods of Data Validation 18 - Explaining Master Data Management Concepts Explain the Basics of Master Data Management Describe Master Data Management Processes Additional course details: Nexus Humans CompTIA Data Plus (DA0-001) 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 CompTIA Data Plus (DA0-001) 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.

Duration 1 Days 6 CPD hours This course is intended for The primary audience for this course is data professionals who are familiar with data modeling, extraction, and analytics. It is designed for professionals who are interested in gaining knowledge about Lakehouse architecture, the Microsoft Fabric platform, and how to enable end-to-end analytics using these technologies. Job role: Data Analyst, Data Engineer, Data Scientist Overview Describe end-to-end analytics in Microsoft Fabric Describe core features and capabilities of lakehouses in Microsoft Fabric Create a lakehouse Ingest data into files and tables in a lakehouse Query lakehouse tables with SQL Configure Spark in a Microsoft Fabric workspace Identify suitable scenarios for Spark notebooks and Spark jobs Use Spark dataframes to analyze and transform data Use Spark SQL to query data in tables and views Visualize data in a Spark notebook Understand Delta Lake and delta tables in Microsoft Fabric Create and manage delta tables using Spark Use Spark to query and transform data in delta tables Use delta tables with Spark structured streaming Describe Dataflow (Gen2) capabilities in Microsoft Fabric Create Dataflow (Gen2) solutions to ingest and transform data Include a Dataflow (Gen2) in a pipeline This course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept. This course will explore the powerful capabilities of Apache Spark for distributed data processing and the essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables. This course will also explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines. This course includes a combination of lectures and hands-on exercises that will prepare you to work with lakehouses in Microsoft Fabric. Introduction to end-to-end analytics using Microsoft Fabric Explore end-to-end analytics with Microsoft Fabric Data teams and Microsoft Fabric Enable and use Microsoft Fabric Knowledge Check Get started with lakehouses in Microsoft Fabric Explore the Microsoft Fabric Lakehouse Work with Microsoft Fabric Lakehouses Exercise - Create and ingest data with a Microsoft Fabric Lakehouse Use Apache Spark in Microsoft Fabric Prepare to use Apache Spark Run Spark code Work with data in a Spark dataframe Work with data using Spark SQL Visualize data in a Spark notebook Exercise - Analyze data with Apache Spark Work with Delta Lake Tables in Microsoft Fabric Understand Delta Lake Create delta tables Work with delta tables in Spark Use delta tables with streaming data Exercise - Use delta tables in Apache Spark Ingest Data with DataFlows Gen2 in Microsoft Fabric Understand Dataflows (Gen2) in Microsoft Fabric Explore Dataflows (Gen2) in Microsoft Fabric Integrate Dataflows (Gen2) and Pipelines in Microsoft Fabric Exercise - Create and use a Dataflow (Gen2) in Microsoft Fabric

Duration 5 Days 30 CPD hours This course is intended for This course is designed for individuals who have basic computer user skills and who are interested in obtaining a job as an entry-level IT technician. This course is also designed for students who are seeking the CompTIA A+ certification and who want to prepare for the CompTIA A+ Core 1 220-1101 Certification Exam and the CompTIA A+ Core 2 220-1102 Certification Exam. Overview On course completion, participants will be able to: Support operating systems. Install and configure PC system unit components and peripheral devices. Install, configure, and troubleshoot display and multimedia devices. Install, configure, and troubleshoot storage devices. Install, configure, and troubleshoot internal system components. Install, configure, and maintain operating systems. Maintain and troubleshoot Microsoft Windows. Explain network infrastructure concepts. Configure and troubleshoot network connections. Manage users, workstations, and shared resources. Implement client virtualization and cloud computing. Implement physical security. Secure workstations and data. Troubleshoot workstation security issues. Support and troubleshoot laptops. Support and troubleshoot mobile devices. Install, configure, and troubleshoot print devices. Implement operational procedures. CompTIA A+ certified professionals are proven problem solvers. They support today's core technologies from security to cloud to data management and more. CompTIA A+ is the industry standard for launching IT careers into today's digital world. It is the only industry recognized credential with performance-based items to prove pros can think on their feet to perform critical IT support tasks in the moment. It is trusted by employers around the world to identify the go-to person in end point management and technical support roles. CompTIA A+ is regularly re-invented by IT experts to ensure that it validates core skills and abilities demanded in the workplace. 1 - Installing Motherboards and Connectors Explain Cable Types and Connectors Install and Configure Motherboards Explain Legacy Cable Types 2 - Installing System Devices Install and Configure Power Supplies and Cooling Select and Install Storage Devices Install and Configure System Memory Install and Configure CPUs 3 - Troubleshooting PC Hardware Apply Troubleshooting Methodology Configure BIOS/UEFI Troubleshoot Power and Disk Issues Troubleshoot System and Display Issues 4 - Comparing Local Networking Hardware Compare Network Types Compare Networking Hardware Explain Network Cable Types Compare Wireless Networking Types 5 - Configuring Network Addressing and Internet Connections Compare Internet Connection Types Use Basic TCP/IP Concepts Compare Protocols and Ports Compare Network Configuration Concepts 6 - Supporting Network Services Summarize Services Provided by Networked Hosts Compare Internet and Embedded Appliances Troubleshoot Networks 7 - Summarizing Virtualization and Cloud Concepts Summarize Client-Side Virtualization Summarize Cloud Concepts 8 - Supporting Mobile Devices Set Up Mobile Devices and Peripherals Configure Mobile Device Apps Install and Configure Laptop Hardware Troubleshoot Mobile Device Issues 9 - Supporting Print Devices Deploy Printer and Multifunction Devices Replace Print Device Consumables Troubleshoot Print Device Issues 10 - Configuring Windows Configure Windows User Settings Configure Windows System Settings 11 - Managing Windows Use Management Consoles Use Performance and Troubleshooting Tools Use Command-line Tools 12 - Identifying OS Types and Features Explain OS Types Compare Windows Editions 13 - Supporting Windows Perform OS Installations and Upgrades Install and Configure Applications Troubleshoot Windows OS Problems 14 - Managing Windows Networking Manage Windows Networking Troubleshoot Windows Networking Configure Windows Security Settings Manage Windows Shares 15 - Managing Linux and macOS Identify Features of Linux Identify Features of macOS 16 - Configuring SOHO Network Security Explain Attacks, Threats, and Vulnerabilities Compare Wireless Security Protocols Configure SOHO Router Security Summarize Security Measures 17 - Managing Security Settings Configure Workstation Security Configure Browser Security Troubleshoot Workstation Security Issues 18 - Supporting Mobile Software Configure Mobile OS Security Troubleshoot Mobile OS and App Software Troubleshoot Mobile OS and App Security 19 - Using Support and Scripting Tools Use Remote Access Technologies Implement Backup and Recovery Explain Data Handling Best Practices Identify Basics of Scripting 20 - Implementing Operational Procedures Implement Best Practice Documentation Use Proper Communication Techniques Use Common Safety and Environmental Procedures

Enhance your knowledge of exploration and production in oil & gas with EnergyEdge's course. Ideal for new engineers and non-technical professionals.

A day of Data Governance, support, networking, and answering your questions. Join me for my 1 Day Data Governance Mastermind where you get allocated time to get specific advice on your current Data Governance challenges and get the chance to network with others in similar situations.

The 'Information Governance and Data Management Training' is a comprehensive program that equips participants with the knowledge and skills needed to effectively manage and protect information in today's data-driven world. The course covers essential topics such as data protection, records management, information security, cybersecurity, and compliance. It also delves into critical areas like privacy, confidentiality, and freedom of information (FOI), as well as data governance, risk management, and ethics. Through practical examples and real-world scenarios, learners will gain a deep understanding of information governance practices and their application in various industries.   Learning Outcomes of Information Governance and Data Management Training: Upon completion of this course, participants will be able to: Understand the fundamental concepts and principles of information governance. Comprehend the legal and regulatory frameworks surrounding data protection and privacy. Master records management techniques for effective data organization and retrieval. Implement robust information security and cybersecurity measures. Navigate privacy, confidentiality, and freedom of information (FOI) requirements. Develop and maintain a data governance framework. Identify, assess, and mitigate information-related risks. Uphold information ethics and compliance standards.   Why buy this Information Governance and Data Management Training? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home   Certification After studying the course materials of the Information Governance and Data Management Training there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60.   Who is this Information Governance and Data Management Training course for? This Information Governance and Data Management Training does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Data Managers and Analysts: Enhance their skills in data management and protection. Compliance Officers: Learn about data compliance and auditing. Privacy and Security Professionals: Gain a holistic view of information security. Legal and Compliance Teams: Understand the legal aspects of data protection. Business Managers: Develop expertise in managing corporate data assets.   Prerequisites This Information Governance and Data Management Training was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.   Career path Data Protection Officer: £40,000 - £80,000 per year. Information Security Analyst: £30,000 - £60,000 per year. Compliance Manager: £40,000 - £90,000 per year. Records Manager: £30,000 - £60,000 per year. Data Governance Specialist: £40,000 - £80,000 per year. Privacy Consultant: £40,000 - £80,000 per year. Legal Counsel (Data Protection): £50,000 - £100,000+ per year. Course Curriculum Module 01: Introduction to Information Governance Introduction to Information Governance 00:05:00 Module 02: Data Protection and Privacy Data Protection and Privacy 00:06:00 Module 03: Records Management Records Management 00:07:00 Module 04: Information Security Information Security 00:06:00 Module 05: Cybersecurity Cybersecurity 00:06:00 Module 06: Privacy, Confidentiality and Freedom of Information (FOI) Privacy, Confidentiality and Freedom of Information (FOI) 00:05:00 Module 07: Data Governance Data Governance 00:06:00 Module 08: Information Risk Management Information Risk Management 00:06:00 Module 09: Information Ethics Information Ethics 00:06:00 Module 10: Compliance and Auditing Compliance and Auditing 00:05:00 Module 11: Information Governance in Practice Information Governance in Practice 00:04:00

About this Virtual Instructor Led Training (VILT) The energy industry has started its journey to be more data centric by embracing the industry 4.0 concept. As a result, data management - which was considered until recently as a back-office service to support geoscience, reservoir management, engineering, production and maintenance - is now given the spotlight! To become an active stakeholder in this important transition in E&P data management, it is necessary to understand the new technical opportunities offered by the Cloud, Artificial Intelligence and how data governance can pave the way towards more reliable and resilient processes within E&P domain. Several key questions that need to be addressed: Why place more focus on data assets? Is data management just about serving geoscientists or engineers with fresh data? What is the value of data management in the E&P sector for decision making? How to convince the data consumers that the data we provide is reliable? Is the data architecture of my organization appropriate and sustainable? The purpose of this 5 half-day Virtual Instructor Led Training (VILT) course is to present the data challenges facing the energy organizations today and see how they practically solve them. The backbone of this course is based on the DAMA Book of Knowledge for Data Management. The main data management activities are described in sequence with a particular focus on recent technological developments. Training Objectives Upon completion of this VILT course, the participants will be able to: Understand why the data asset is now considered as a main asset by energy organizations Appreciate the importance of data governance and become an active stakeholder of it Understand the architecture and implementation of data structure in their professional environment Get familiarized with the more important data management activities such as data security and data quality Integrate their subsurface and surface engineering skills with the data managements concepts This VILT course is unique on several points: All notions are explained by some short presentations. For each of them, a set of video, exercises, quizzes will be provided to help develop an engaging experience between the trainer and the participants A pre-course questionnaire to help the trainer focus on the participants' needs and learning objectives A detailed reference manual A lexicon of terms for data-management Limited class size to encourage the interactivity Target Audience This VILT course is intended for: Junior/new data managers Geoscientists Reservoir engineers Producers Maintenance specialists Construction specialists Human resources Legal Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-days consisting 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your expert course leader is a geologist by education who has dedicated his career to subsurface data management services. In 2016, he initiated a tech startup dedicated to Data Management using Artificial Intelligence (AI) tools. He is heavily involved in developing business plans, pricing strategies, partnerships, marketing and SEO, and is the co-author of several Machine Learning publications. He also delivers training on Data Management and Data Science to students and professionals. Based in France, he was formerly Vice President, Sales & Marketing at CGG where he was in charge of the Data Management Services strategy, Sales Manager at Spie O&G Services where he initiated the Geoscience technical assistance activities and Product Manager of interactive seismic inversion software design and marketing at Paradigm.       POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

Register on the Data Management Specialist 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 proof of your course completion. The Data Management Specialist 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 Data Management Specialist 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 Data Management Specialist, 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 Data Management Specialist Module 01: Introduction 00:03:00 Module 02: Project Files 00:00:00 Module 03: Data Validation Rules to Prevent Bad Data Entry 00:09:00 Module 04: Drop Down Lists for Easy Data Entry 00:06:00 Module 05: Custom Validation Messages and Alerts 00:06:00 Module 06: Splitting Data into Different Columns by Delimiter 00:04:00 Module 07: Splitting Data of a Fixed Width 00:03:00 Module 08: Easily Remove Duplicate Rows from a List 00:04:00 Module 09: The Incredible Flash Fill Tool 00:08:00 Module 10: Goal Seek - How to Reach the Result You Want 00:06:00 Module 11: Data Table - Test Multiple Values Impact on a Formula Result 00:07:00 Module 12: The New Rich Data Types in Excel 00:06:00 Assignment Assignment - Data Management Specialist 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.