519 Courses

Microsoft Excel® in Depth: In-House Training The goal of this course is to provide a deeper understanding of Excel and its intricacies and a new ability to use it efficiently producing the best solutions for your projects. This practical course provides a solid background of the features of Excel and a deeper understanding of its features, benefits and uses. This is not a beginner's course in Excel. You will learn some advanced features such as Pivot Tables, Charting, Tables, Sorting, Filtering and Functions. The goal of this course is to provide a deeper understanding of Excel and its intricacies and a new ability to use it efficiently producing the best solutions for your projects. What you Will Learn You'll learn how to: Use functions like IF, AVERAGE, SUMIF, SUMIFS, SUMPRODUCT, INDEX, MATCH, CHOOSE, DATE, and many more Create meaningful charts Use pivot tables Use Conditional Formatting, Data Validation Take advantage of using Named ranges, do sorting, filtering, tables Getting Started The building blocks of Excel, built-in functions, will be examined The basics of formatting your data will be examined Shortcuts and data manipulation will be explored Built-in features like those mentioned in the 'What you will learn' section above will be explored in detail Excel Functions - VLOOKUP, IF, INDEX, MATCH, CHOOSE, SUMIF, SUMIFS, SUMPRODUCT, DATE, so many more Using Named ranges, Data Validation, Sorting, and Filtering Learn the Name manager; Learn the difference between local and global names; Ensure correct access to linked workbooks; Ensure data accuracy; Learn how to use cascading data validation (for example, once a user chooses 'cars', another cell allows only Ford, Toyota, etc.); Sorting by more than 3 fields; Filtering by font, pattern, or value; See your data based on things like dates in the 3rd quarter, or fields where quantity x price is greater than some fixed value Conditional formatting and data formatting Make relevant data stand out Isolate highs and lows Make error cells invisible Learn about Data bars, Icon sets, and Color scales Highlight differences between worksheets Learn all the codes in the Format/Number list Using cell Styles Learn all about alignment, protection, borders, colors and more Pivot Tables Learn how to summarize large amounts of data with a few clicks Learn various ways of presenting the data Learn the various pivot table tools Learn how to customize and format a pivot table to suit your needs Learn how to group data Learn how to use the various options to present your data Charts Learn how to create a chart with one keystroke! Learn the 11 types of built-in charts Learn how to create a chart with one keystroke! Learn how to customize the charts to make the information tell the right story Learn how to use the design, layout, and formatting available to charts in Excel 2007 Learn embedded charts versus chart sheets Learn how to use modify all the pieces of a chart Array formulas Learn how to use the most powerful formulas in Excel Learn how to combine many formulas into one compact array-formula Learn the real power of these formulas and why regular formulas can't do the job Learn how to use built-in array formulas, like TREND or TRANSPOSE

This course is filled with hands-on and real-time examples to help you understand the concepts and implement them on the go. 75% of the IT industry is now heading toward this API for automating services. Learn everything you need to know about REST API automation, even if you have never worked before in this domain.

Web development training course description This three-day course helps build a foundation in the development of Web applications. This is not a HTML course but covers the technologies needed to develop web applications. Technologies covered include: ASP.NET, XML, AJAX and HTTP error codes. What will you learn Program Web applications. Work with data and services. Troubleshoot and debug Web applications. Work with client side scripting. Configure and deploy web applications. Web development training course details Who will benefit: Anyone looking for an introduction to web development. Prerequisites: None. Duration 3 days Web development training course contents Programming web applications Customise the layout and appearance of a web page CSS; tables; embedding images; page layout for navigation. Understand ASP.NET intrinsic objects Request; Server; Application; Session; Response; HttpContext. Understand state information in web applications Understand how state is stored based on application design and hardware; understand different types such as session state, view state, control state and application state. Understand events and control page flow Application and page life cycle events; page events; control events; application events; session events; cross-page posting; Response.Redirect; Server.Transfer; IsPostBack; setting AutoEventWireup. Understand controls Understanding various types of controls, including user, server, web and validation controls; know which is the appropriate type of control for a scenario. Understand configuration files Understanding the usage of web.config and machine.config, and the settings that can be made. Working with data and services Read and write XML data Understanding XML, XML validation Does not include: Web services; XPath syntax; XmlDocument; XPathNavigator; XPathNodeIterator; XPathDocument; XmlReader; XmlWriter; XmlDataDocument; XmlNamespaceManager. Distinguish between DataSet & DataReader objects The ability to choose the proper data object to use based on application requirements/design. Call a service from a web page Creating a basic WCF service or web service so that it can be consumed; App_WebReferences; configuration. Understand DataSource controls LinqDataSource: ObjectDataSource; XmlDataSource; SqlDataSource. Bind controls to data by using data binding syntax Ensure that data is updated and displayed in data-aware controls. Manage data connections and databases Database connections; connection objects; connection pools; transaction objects. Troubleshooting and debugging web applications Debug a web application Use in conjunction with custom error pages to display appropriate error information to the appropriate user; implement tracing of a web application, Trace.axd, Trace=True on @Page directive. Handle web application errors HTTP error codes. Working with client-side scripting Understand client-side scripting Purpose of client-side scripting; various client-side scripting languages. LE/370 and Intrinsic Functions. Understand AJAX concepts ASP.NET AJAX implementation; working with client-side libraries, EnablePartialRendering, Triggers, ChildrenAsTriggers, Scripts, Services, UpdateProgress, Timer, ScriptManagerProxy, extender controls. Configuring and deploying web applications Configure authentication and authorisation Forms authentication, Windows authentication; authorisation; file authorisation; impersonation Does not include: Windows Cardspace authentication, Passport (Windows Live ID) authentication, Custom authentication. Configure projects, solutions and reference assemblies Local assemblies; shared assemblies (GAC); web application projects; solutions; configuration files; AppSettings. Publish web applications Choosing the appropriate method to deploy an application based on existing or intended environment; updatable vs. not updateable; MSI deployment; Internet Information Server (IIS) installation and configuration. Understand application pools Purpose of application pools; effect of application pools on web applications.

Before equipment can be used routinely in production, it must first be commissioned and, if necessary, undergo Installation Qualification (IQ). This module describes commissioning and IQ requirements and procedures in the medicines and healthcare products industries. It follows the activities of a typical validation team as they carry out a project for a pharmaceutical company.

Having undergone Installation Qualification, before equipment can be used routinely in production, it needs to undergo Operational Qualification (OQ) and Performance Qualification (PQ). This module describes OQ and PQ requirements and procedures in the medicines and healthcare products industries. It follows the activities of a typical validation team as they carry out a project for a pharmaceutical company.

This highly interactive program focuses on building the business focus on value to be achieved from initiatives. The practices in this program apply equally to projects and programs. Participants will gain insight into the capabilities needed to develop the culture, processes, and tools behind validation, what true initiatives' success looks like, which can be closely linked to achieving value. They will learn and experiment with a variety of value definition and management techniques. Working in small groups, they will collaborate with others to brainstorm, share experiences, and apply concepts to the ongoing value confirmation goal. Participants will also discover the importance of designing metrics around value and addressing blind spots that could happen when the focus is on the wrong metrics and how that could lead to the wrong behaviors being practiced. Participants will also gain insights into key skills for leading and working in the future. Hands-on experimentation activities enhance the theoretical learning, grounding it in real life and giving opportunities to practice creativity in capturing value.

Business Intelligence Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

Business Intelligence: In-House Training Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

This is a post-graduate course composed of a TCM and Acupuncture Theory Foundation Module (9 lecture days) and a Special Orthopaedic Acupuncture Module (8 lecture days) with additional 4 clinical practice days and a re- validation day. The TCM and Acupuncture Theory foundation Module leads to a Foundation Diploma in TCM and Acupuncture Level-1. The Orthopaedic Acupuncture module is designed in such a way that it can either be completed as a whole, or each of the 8 lectures can be taken as a CPD unit for therapist with special interests in the specific areas of the body. The course is specifically designed as an advanced, intensive course for acupuncturists, physiotherapists, osteopaths, chiropractors and other physical therapists who wish to broaden their knowledge and further their skills. The emphasis of the course falls on the practical application of acupuncture as a treatment for a variety of MSK conditions.

Course Information Join our comprehensive course, meticulously designed to equip individuals implementing Good Clinical Laboratory Practice (GCLP) within laboratories handling samples from clinical trials. Delve into the current regulatory landscape governing laboratory work supporting clinical trials, referencing key guidelines such as the ICH Guideline for Good Clinical Practice, the Clinical EU Trials Directive, relevant regulations, and leveraging insights from the RQA guidance document on GCLP. Is this course for you? This course is tailored for laboratory managers, analysts, investigators, trial coordinators, monitors, and auditors operating in diverse settings such as pharmaceutical company laboratories, central laboratories, contract research organisations, hospital laboratories, clinics, and investigator sites. This course will give you: Guidance on effectively interpreting and applying GCLP within the broader framework of Good Clinical Practice (GCP) Insight into the seamless integration of GCLP within clinical programmes (GCP) Practical strategies for implementing GCLP in the nuanced environment of clinical research laboratories The chance to update your knowledge with the latest interpretations and guidance on clinical laboratories by the UK Medicines and Healthcare Products Regulatory Agency (MHRA) Access to a seasoned panel of speakers with extensive expertise A unique opportunity to deepen your understanding of GCLP's application across diverse scenarios. Engage in: Lively discussions to foster ideas Problem-solving sessions targeting specific challenges Detailed exploration of specific aspects within the realms of GCP and GCLP. Tutors Tutors will be comprised of (click the photos for biographies): Vanessa Grant -, - Louise Handy Director, Handy Consulting Ltd Tim Stiles Consultant, Qualogy Ltd Programme Please note timings may be subject to alteration. Day 1 08:50 Registration 09:00 Welcome and Introduction 09:20 Good Clinical Practice and the Requirements of Good Clinical Laboratory Practice A review of Good Clinical Practice and its requirements for the laboratory analysis of samples from a trial. The thought processes behind the development of Good Clinical Laboratory Practice, its objective, scope, interpretation and application are explained. 10:00 Safety and Ethical Consideration Informed consent, confidentiality, expedited reporting, blinding and unblinding and serious breaches of the GCP are discussed. 10:40 Break 10:55 Organisation and Personnel Responsibilities within GCP and the Laboratory The responsibilities of key functions that should exist within a clinical laboratory including personnel records of training and competence are discussed. 11:30 Staff Training and Training Records Personnel records of training and competency assessments are discussed. 11:45 Laboratory Facilities, Equipment and Materials Suitable facility design, organisation and operation will be discussed. The calibration, validation and maintenance of equipment used in the conduct of sample analysis are examined, as are the suitability of materials and the identification and labelling of reagents and solutions. 12:30 Lunch 13:15 Workshop 1 - Facilities, Equipment and Responsibilities Some practical problems with regard to the facilities, equipment and responsibilities are explored. 13:45 Workshop 1 - Feedback 14:15 Computer Systems Validation Systems, including computerised systems, used in the analysis, collection and reporting of results should be appropriately tested, operated and controlled. What this means in practice is discussed. 14:45 Trial Protocols, Analytical Plans During this session we examine the purpose, content, control and change of these important documents. 15:30 Break 15:45 Workshop 2 - SOPs, Clinical Protocols, Analytical Plans and Validation The practicalities of managing and documenting the planning phase of analytical work on a trial are explored along with computerised system validation. 16:30 Workshop 2 - Feedback 17:00 Close of Day Day 2 09:00 Conduct of the Work and Quality Control Many of the issues that surround the conduct of sample collection, shipment, storage, analysis and management of Analytical Methods are discussed. This includes the quality control of the assay that may be employed and Quality Control checks. 10:00 Deviation Management The expectations around deviations and CAPA are discussed. 10:15 Workshop 3 - Conduct of the Work and Quality Control Practical work conduct and quality control issues are explored. 10:45 Break 11:00 Workshop 3 - Feedback 11:30 Source Data, Data Integrity, Records and Reports The creation and subsequent management of source data and records, data integrity, are discussed, together with the process of reporting analytical results. 12:10 Workshop 4 - Data, Records and Reports Practical problems with data, records and reports are investigated. 12:45 Lunch 13:30 Workshop 4 - Feedback 14:00 Quality Audit The requirements for and purpose of quality audits are discussed. The difference between quality audit and quality control are explained along with the role of the quality audit staff and their interaction with the analytical project managers, laboratory management and study staff. 14:40 Risk Management How should we assess risk and how can we use the process to assist in evaluation of audit findings. 15:15 Break 15:30 Regulatory Inspection The conduct of regulatory inspections and current expectations of the inspectors. Preparation for inspections and conduct during them will be discussed. 16:00 Panel Session This panel session will address any outstanding issues raised by the delegates. 16:15 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 14 Points Development Level Develop