76 Data Management courses delivered Live Online

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

Take things a step further and improve your knowledge of some of the more niche Excel techniques to help manage your data

Duration 4 Days 24 CPD hours This course is intended for This course is for consultants, project team members, and administrators who want to learn how to implement data provisioning and data transformation for their SAP HANA project. In this course, students will learn the essential techniques and tools of data provisioning and data transformation for SAP HANA. This course will help students identify the most effective data provisioning solutions for their SAP HANA project. Course Outline Trigger-based replication with SAP Landscape Transformation ETL based data provisioning using SAP Data Services Connecting SAP HANA to data sources using SAP HANA Smart Data Access Real-time data loading using Smart Data Streaming ETL based loading using Smart Data Integration and Smart Data Quality SAP HANA Direct Extractor Connection Fundamentals of SAP Replication Server Additional course details: Nexus Humans HA350 SAP HANA - Data Management 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 HA350 SAP HANA - Data Management 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.

A practical approach to Data Governance, giving you the information you need to design and implement successfully a Data Governance Framework that is right for your organisation.

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.

WCNA training course description Wireshark is a free network protocol analyser. This hands-on course provides a comprehensive tour of using Wireshark to troubleshoot networks. The course concentrates on the information needed in order to pass the WCNA exam. Students will gain the most from this course only if they already have a sound knowledge of the TCP/IP protocols. What will you learn Analyse packets and protocols in detail. Troubleshoot networks using Wireshark. Find performance problems using Wireshark. Perform network forensics. WCNA training course details Who will benefit: Technical staff looking after networks. Prerequisites: TCP/IP Foundation for engineers Duration 5 days WCNA training course contents What is Wireshark? Network analysis, troubleshooting, network traffic flows. Hands on Download/install Wireshark. Wireshark introduction Capturing packets, libpcap, winpcap, airpcap. Dissectors and plugins. The menus. Right click. Hands on Using Wireshark. Capturing traffic Wireshark and switches and routers. Remote traffic capture. Hands on Capturing packets. Capture filters Applying, identifiers, qualifiers, protocols, addresses, byte values. File sets, ring buffers. Hands on Capture filters. Preferences Configuration folders. Global and personal configurations. Capture preferences, name resolution, protocol settings. Colouring traffic. Profiles. Hands on Customising Wireshark. Time Packet time, timestamps, packet arrival times, delays, traffic rates, packets sizes, overall bytes. Hands on Measuring high latency. Trace file statistics Protocols and applications, conversations, packet lengths, destinations, protocol usages, strams, flows. Hands on Wireshark statistics. Display filters Applying, clearing, expressions, right click, conversations, endpoints, protocols, combining filters, specific bytes, regex filters. Hands on Display traffic. Streams Traffic reassembly, UDP and TCP conversations, SSL. Hands on Recreating streams. Saving Filtered, marked and ranges. Hands on Export. TCP/IP Analysis The expert system. DNS, ARP, IPv4, IPv6, ICMP, UDP, TCP. Hands on Analysing traffic. IO rates and trends Basic graphs, Advanced IO graphs. Round Trip Time, throughput rates. Hands on Graphs. Application analysis DHCP, HTTP, FTP, SMTP. Hands on Analysing application traffic. WiFi Signal strength and interference, monitor mode and promiscuous mode. Data, management and control frames. Hands on WLAN traffic. VoIP Call flows, Jitter, packet loss. RTP, SIP. Hands on Playing back calls. Performance problems Baselining. High latency, arrival times, delta times. Hands on Identifying poor performance. Network forensics Host vs network forensics, unusual traffic patterns, detecting scans and sweeps, suspect traffic. Hands on Signatures. Command line tools Tshark, capinfos, editcap, mergecap, text2pcap, dumpcap. Hands on Command tools.

Duration 5 Days 30 CPD hours This course is intended for Microsoft Dynamics 365 Finance and Operations Apps Developers Overview By the end of this course, you will learn to develop fully realized solutions by using standardized application coding patterns. In this course, you will learn the tasks needed to fulfill the role of developer in Dynamics 365 Finance and Operations Apps. The Dynamics 365 for Finance and Operations (FO) developer is a key technical resource that implements and extends the application to meet the requirements of the business. Module 1: Overview & Architecturen Explore the ecosystem and main components Explore the technical architecture Explore design and deployment considerations Module 2: Developer Tools Manage implementations by using Lifecycle Services Manage source code by using version control Customize by using Visual Studio Module 3: Solution Design Implement application lifecycle management Module 4: AOT Elements Build extended data types and enumerations Build tables Build forms and optimize form performance Create classes Create other user interface elements Module 5: Code Development & Testing Explore the test framework and use tools Get started with development using X++ Develop object-oriented code Use RSAT tool Module 6: Data Migration Prepare data for migration Module 7: Frameworks Introduction Explore extensions and the extension framework Extend elements SysOperationSandbox framework Summary Module 8: Integration Identify data integration patterns and scenarios Implement data integration concepts and solutions Implement the data management package API Data integrations Integrate with Microsoft Azure Connecting to Power Platform services Consume business events Integrate Finance and Operations apps with Microsoft Dataverse Module 9: Reporting Explore the reporting tools Build reports Build workspaces Manage data sources with external data stores Module 10: Security & Performance Work with performance and monitoring tools Implement role-based security Apply basic performance optimization techniques Additional course details: Nexus Humans MB-500T00 Dynamics 365 - Finance and Operations Apps Developer 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 MB-500T00 Dynamics 365 - Finance and Operations Apps Developer 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 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. Overview Install and configure mobile devices Compare and contrast networking hardware Configure internet connections and wireless networking Troubleshoot hardware and networks Install motherboards, RAM, storage devices, CPUs and add-on cards Deploy and configure connected devices Summarize cloud-computing concepts and virtualization 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. Prerequisites While there are no prerequisites for this course, please ensure you have the right level of experience to be successful in this training. Lesson 1: Installing Motherboards and Connectors Topic 1A: Explain Cable Types and Connectors Topic 1B: Install and Configure Motherboards Topic 1C: Explain Legacy Cable Types Lesson 2: Installing System Devices Topic 2A: Install and Configure Power Supplies and Cooling Topic 2B: Select and Install Storage Devices Topic 2C: Install and Configure System Memory Topic 2D: Install and Configure CPUs Lesson 3: Troubleshooting PC Hardware Topic 3A: Apply Troubleshooting Methodology Topic 3B: Configure BIOS/UEFI Topic 3C: Troubleshoot Power and Disk Issues Topic 3D: Troubleshoot System and Display Issues Lesson 4: Comparing Local Networking Hardware Topic 4A: Compare Network Types Topic 4B: Compare Networking Hardware Topic 4C: Explain Network Cable Types Topic 4D: Compare Wireless Networking Types Lesson 5: Configuring Network Addressing and Internet Connections Topic 5A: Compare Internet Connection Types Topic 5B: Use Basic TCP/IP Concepts Topic 5C: Compare Protocols and Ports Topic 5D: Compare Network Configuration Concepts Lesson 6: Supporting Network Services Topic 6A: Summarize Services Provided by Networked Hosts Topic 6B: Compare Internet and Embedded Appliances Topic 6C: Troubleshoot Networks Lesson 7: Summarizing Virtualization and Cloud Concepts Topic 7A: Summarize Client-Side Virtualization Topic 7B: Summarize Cloud Concepts Lesson 8: Supporting Mobile Devices Topic 8A: Set Up Mobile Devices and Peripherals Topic 8B: Configure Mobile Device Apps Topic 8C: Install and Configure Laptop Hardware Topic 8D: Troubleshoot Mobile Device Issues Lesson 9: Supporting Print Devices Topic 9A: Deploy Printer and Multifunction Devices Topic 9B: Replace Print Device Consumables Topic 9C: Troubleshoot Print Device Issues

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 2 220-1102 Certification Exam. Overview Identify, install and configure Windows Operating System features Perform OS installations and upgrades Identify features and tools of macOS Identify features and tools of Linux OS Summarize security measures and protocols Configure SOHO network security Manage security settings Troubleshoot Windows OS problems Explain change-management best practices Implement workstation backup and recover methods Identify the basics of scripting 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. This course follows after the A+ Part 1 course and prepares you for the A+ Core 2 exam 220-1101. Prerequisites While there are no prerequisites for this course, please ensure you have the right level of experience to be successful in this training. Lesson 1: Configuring Windows Topic 1A: Configure Windows User Settings Topic 1B: Configure Windows System Settings Lesson 2: Managing Windows Topic 2A: Use Management Consoles Topic 2B: Use Performance and Troubleshooting Tools Topic 2C: Use Command-line Tools Lesson 3: Identifying OS Types and Features Topic 3A: Explain OS Types Topic 3B: Compare Windows Editions Lesson 4: Supporting Windows Topic 4A: Perform OS Installations and Upgrades Topic 4B: Install and Configure Application Topic 4C: Troubleshoot Windows OS Problems Lesson 5: Managing Windows Networking Topic 5A: Manage Windows Networking Topic 5B: Troubleshoot Windows Networking Topic 5C: Configure Windows Security Settings Topic 5D: Manage Windows Shares Lesson 6: Managing Linux and macOS Topic 6A: Identify Features of Linux Topic 6B: Identify Features of macOS Lesson 7: Configuring SOHO Network Security Topic 7A: Explain Attacks, Threats, and Vulnerabilities Topic 7B: Compare Wireless Security Protocols Topic 7C: Configure SOHO Router Security Topic 7D: Summarize Security Measures Lesson 8: Managing Security Settings Topic 8A: Configure Workstation Security Topic 8B: Configure Browser Security Topic 8C: Troubleshoot Workstation Security Issues Lesson 9: Supporting Mobile Software Topic 9A: Configure Mobile OS Security Topic 9B: Troubleshoot Mobile OS and App Software Topic 9C: Troubleshoot Mobile OS and App Security Lesson 10: Using Support and Scripting Tools Topic 10A: Use Remote Access Technologies Topic 10B: Implement Backup and Recovery Topic 10C: Explain Data Handling Best Practices Topic 10D: Identify Basics of Scripting Lesson 11: Implementing Operational Procedures Topic 11A: Implement Best Practice Documentation Topic 11B: Use Proper Communication Techniques Topic 11C: Use Common Safety and Environmental Procedures

How to handle Subject Access Requests and other Data Subject Rights.