46 Educators providing Courses

This course covers the essential Excel data skills. Our course is interactive, instructor-led. This Excel Data course is on offered on intermediate level of Excel and concentrates on the Data Analytical capabilities of Excel. These concepts are daily used by data analysts and is a basic essential skill for data professionals. By the end, you'll be able to use Excel for analytics, data summaries, trends and statistics. You will create Excel data analytical spreadsheets and samples that you can use as examples at work.

Duration 1 Days 6 CPD hours This course is intended for To ensure success, students should have completed Excel Essentials and Excel Functions Including Pivot Tables and Lookups or have the equivalent knowledge and experience. Overview Upon successful completion of this course, students will be able to enhance productivity and efficiency by streamlining workflow, collaborate with others, and audit and analyse data. This course is designed for students desiring to gain skills necessary to create macros, collaborate with others, audit and analyse data, incorporate multiple data sources, and import data. Working with Multiple Worksheets and Workbooks Working with Named Ranges Link Cells Across Worksheets and Workbooks Use 3D References to Calculate Across Worksheets Consolidate Data Use Formula Auditing and Error Checking Reveal Formulas Trace Cell Precedents and Dependents Locate Errors in Formulas Watch and Evaluate Formulas Reviewing and Protecting Workbooks Control Data Entry via Data Validation Protect Workbook Access Protect Worksheets and Cell Content Add and Edit Comments Prepare a Workbook for Distribution Modify Excel's Default Settings Using Macros to Automate Workbook Functionality Create Macros via Recording Run Macros via Buttons and Shortcuts Assign Macros to the Quick Access Toolbar and Ribbon Assign Macros to Objects View Macro Code Forecasting and Analysis Data Use Conditional Formatting to Highlight, Sort and Filter Key Data Advanced Conditional Formatting using Formulas Create Sparklines to Visualise Data Add Trendlines to Charts to Visualise and Forecast Trends Use Data Tables and Scenarios to Project Potential Outcomes Use Goal Seek to Calculate Outcomes Forecast Data Trends Using Solver

Peer Supervision for Clinical Hypnotherapists: Peer supervision for clinical hypnotherapists fosters professional growth through enhanced reflective practice, continuous learning, emotional support, feedback and validation, ethical guidance, networking, and professional accountability. - **Enhanced Reflective Practice**: Facilitates self-reflection, helping hypnotherapists identify strengths, weaknesses, and areas for improvement through peer discussions. - **Continuous Learning**: Expands knowledge by sharing innovative techniques, research findings, and emerging trends, promoting ongoing professional development. - **Emotional Support**: Provides a supportive space for therapists to share experiences and receive emotional support, addressing the emotional demands of the profession. - **Feedback and Validation**: Offers constructive criticism and fresh perspectives, aiding in skill refinement and improved clinical practice. - **Ethical Guidance**: Allows discussion of ethical dilemmas and collaborative solutions, ensuring adherence to professional standards. - **Networking and Collaboration**: Builds professional networks, leading to collaboration, referrals, and partnerships. - **Professional Accountability**: Encourages high standards and self-reflection through peer discussions, enhancing practice quality.

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.

Official BRCGS Product Safety Management course: Validation & Verification Delivered online (Zoom) by a live BRCGS Approved Training Partner. Exam and Certificate fee included in the price.

Duration 3 Days 18 CPD hours This course is intended for This course is ideal for Professionals preparing to become CRISC certified. Risk practitioners Students or recent graduates Overview At course completions, students will understand the essential concepts in the 4 ISACA CRISC domains: Governance IT Risk Assessment Risk Response and Reporting Information Technology and Security This 3 Day CRISC course is geared towards preparing students to pass the ISACA Certified in Risk and Information Systems Control examination. The course covers all four of the CRISC domains, and each section corresponds directly to the CRISC job practice. CRISC validates your experience in building a well-defined, agile risk-management program, based on best practices to identify, analyze, evaluate, assess, prioritize and respond to risks. This enhances benefits realization and delivers optimal value to stakeholders. GOVERNANCE - a. Organizational Governance Organizational Strategy, Goals, and Objectives Organizational Structure, Roles, and Responsibilities Organizational Culture Policies and Standards Business Processes Organizational Assets GOVERNANCE - b. Risk Governance Enterprise Risk Management and Risk Management Framework Three Lines of Defense Risk Profile Risk Appetite and Risk Tolerance Legal, Regulatory, and Contractual Requirements Professional Ethics of Risk Management IT RISK ASSESSMENT - a. IT Risk Identification Risk Events (e.g., contributing conditions, loss result) Threat Modelling and Threat Landscape Vulnerability and Control Deficiency Analysis (e.g., root cause analysis) Risk Scenario Development IT RISK ASSESSMENT - b. IT Risk Analysis and Evaluation Risk Assessment Concepts, Standards, and Frameworks Risk Register Risk Analysis Methodologies Business Impact Analysis Inherent and Residual Risk RISK RESPONSE AND REPORTING - a. Risk Response Risk Treatment / Risk Response Options Risk and Control Ownership Third-Party Risk Management Issue, Finding, and Exception Management Management of Emerging Risk RISK RESPONSE AND REPORTING - b. Control Design and Implementation Control Types, Standards, and Frameworks Control Design, Selection, and Analysis Control Implementation Control Testing and Effectiveness Evaluation RISK RESPONSE AND REPORTING - c. Risk Monitoring and Reporting Risk Treatment Plans Data Collection, Aggregation, Analysis, and Validation Risk and Control Monitoring Techniques Risk and Control Reporting Techniques (heatmap, scorecards, dashboards) Key Performance Indicators Key Risk Indicators (KRIs) Key Control Indicators (KCIs) INFORMATION TECHNOLOGY AND SECURITY - a. Information Technology Principles Enterprise Architecture IT Operations Management (e.g., change management, IT assets, problems, incidents) Project Management Disaster Recovery Management (DRM) Data Lifecycle Management System Development Life Cycle (SDLC) Emerging Technologies INFORMATION TECHNOLOGY AND SECURITY - b. Information Security Principles Information Security Concepts, Frameworks, and Standards Information Security Awareness Training Business Continuity Management Data Privacy and Data Protection Principles

Course Information Join our comprehensive three-day training programme tailored for individuals seeking a foundational grasp of computerised system validation. This course equips participants with essential knowledge to effectively validate systems within their respective organisations for utilisation in GxP (GLP, GCP, GMP, GDP, and GPvP) environments. Attendees will also gain proficiency in auditing validated computerised systems, ensuring compliance with pertinent GxP regulations. Commencing with an overview of regulatory prerequisites and the system life cycle, the course transitions into practical aspects, centered around validating computerised systems and conducting subsequent audits. Engage in a dynamic blend of presentations, interactive discussions, and hands-on practical workshops throughout the course. This course will provide delegates with an understanding of the computerised system validation process, including: Definition of end user requirements Risk management, including supplier assessment and techniques for audit planning Validation planning and reporting Linking system development with good business practices Formal testing and qualification Understanding of data integrity and security issues How to assess system validation documentation to verify compliance. Is this course for you? IT professionals new to implementing computerised systems into regulated environments Quality professionals who monitor or audit computerised systems System owners, end users, tester and project staff. Tutors Tutors will be comprised of (click the photos for biographies): Nichola Stevens Director and Principal Consultant, Nuncius Compliance Solutions Ltd Barry McManus Consultancy Partner, Empowerment Quality Engineering Ltd Programme Please note timings may be subject to alteration. Day 1 09:00 Welcome, Introduction and Course Objectives 09:45 Why Validate? Regulations and Guidance on Computerised System Validation Overview of the regulations and guidance applicable to CSV and their key expectations. 10:30 Break 10:45 The System Lifecycle The concept of the SLC and the key outputs from it. 12:00 Lunch 12:45 The Validation Process The approach to validation for different system types and a look at some of the key deliverables. 14:00 Project Introduction 14:15 Exercise 1 - User Requirements Capturing, agreeing and documenting the user requirements for a system. 15:15 Break 15:30 Exercise 1 - Feedback 16:00 Risk Management Risk management and its impact on validation. Identifying the deliverables required. Then group discussion on risk assessment for three systems. 17:00 Questions and Answers Answers to any outstanding questions from Day 1. 17:15 Close of Day Day 2 09:00 Supplier Assessment The different approaches to supplier assessment and the things to be considered when assessing a supplier. 10:15 Exercise 2 - Supplier Assessment Planning a vendor audit with a focus on the key validation deliverables. 11:00 Break 11:15 Exercise 2 - Feedback 11:45 Test Overview and Test Planning The different test phases, the purpose of each test phase and things to be considered when planning and reporting testing. 12:45 Lunch 13:30 Test Overview and Test Planning Continued. 14:15 Test Script Design, Execution and Review What a good test script looks like and the key things to consider when creating, executing and reviewing a test script. 15:30 Break 15:45 Exercise 3 - Creating a Test Script Create a test script based on user requirements created on Day 1. 17:15 Close of Day Day 3 09:00 Exercise 3 Feedback 09:30 Infrastructure Configuration and Qualification 10:30 Break 10:45 Validation Reporting Overview of the Validation Report and what should be included in it. 11:15 Maintaining the Validated State The procedures and records needed to ensure the system remains fit for purpose. 12:30 Lunch 13:15 Change Control Key concepts related to making changes to validated systems. 14:00 Data Integrity and Security How can we assure the integrity and security of our data. 15:15 Break 15:30 Course Objectives Summary and Panel Discussion A round up of key learning from the course. 17:00 Close of Course Extra Information Face-to-face course Course Material Course material will be available in PDF format for delegates attending this course. The advantages of this include: Ability for delegates to keep material on a mobile device Ability to review material at any time pre and post course Environmental benefits – less paper being used per course. The material will be emailed in advance of the course and RQA will not be providing any printed copies of the course notes during the training itself. Delegates wishing to have a hard copy of the notes should print these in advance to bring with them. Alternatively delegates are welcome to bring along their own portable devices to view the material during the training sessions. Remote course Course Material This course will be run completely online. You will receive an email with a link to our online system, which will house your licensed course materials and access to the remote event. Please note this course will run in UK timezone. The advantages of this include: Ability for delegates to keep material on a mobile device Ability to review material at any time pre and post course Environmental benefits – less paper being used per course Access to an online course group to enhance networking. You will need a stable internet connection, a microphone and a webcam. CPD Points 19 Points Development Level Develop

Essential to validation is the provision of documented evidence verifying that manufacturing processes will consistently result in products meeting predetermined quality standards. This module describes the purpose, content and use of validation master plans, project validation plans, and other documentation for validation projects in the medicines and healthcare products industries. It describes the activities of a typical validation team as they carry out a project for a pharmaceutical company.

Take our part-time online “Conversion Course into Pharmaceutical Manufacturing“ NO Previous Industry Experience or Science Qualifications Required

Validation of equipment, services, systems and processes is vitally important in the medicines and healthcare products industries. Regulatory authorities require documented evidence that manufacturing processes will consistently result in products meeting predetermined quality standards. This module provides an introduction to validation and to the regulations and guidance that apply to it. It describes the activities of a typical validation team as they carry out a project for a pharmaceutical company.