178 Microsoft courses in Chigwell

The main subject areas of the course are: Good practice in asbestos removal or remediation Asbestos Removal Control Plans Air sampling for asbestos Enclosures, clearance air monitoring and reporting

We have expanded our asbestos awareness courses to specifically cover the awareness of asbestos in soils, made-ground and construction and demolition materials. Essential for geotechnical engineers, plant operators, civil engineering contractors and ground workers. The content of this course is designed to provide anyone whose work could foreseeably expose them to asbestos with sufficient knowledge to avoid putting themselves or others at risk, in line with regulatory requirements laid out in Control of Asbestos Regulations 2012, and specifically for those working on land with potential asbestos-contamination.

Dashboards will summarize and present the key indications of large data in an attractive visual display, hightlighting the most important trends so the most imporatnf aspects of data could could be seen in a snap second by glancing at attractive, colourful charts. PowerPivot helps analyze the data and brings new capabilities to business users to analyse, explore and gain new insight into business and marketing data. Power Pivot help analyze and understand the growing quantities of data that are created on a daily basis.

A series of hourly small group sessions where we look at different aspects of Excel Duration: 1 hr sessions Alternatively, we can do you one-to-one sessions, either via virtual classroom or in person at our training course. These are £30 per hour, or £125 for 5-hour blocks.

Data Visualization Courses London. In this Power BI Course, you will learn how to translate data trends, summaries, statistics and insights from your data into powerful and inspirational visualizations This course is ideal for managers and data analysts who need to make business decisions based on data.

ADO.NET training course description This ADO.net training course is designed to enable developers to use the toolset provided with.NET for data access including ADO.net objects, data controls, designers and interoperability with earlier ADO objects. The course is applicable for those using C# or VB.NET with ADO.NET What will you learn Retrieve and manipulate data using Microsoft's ADO.NET library. Work with the ADO.NET object model. Update data, including handling stored procedures, parameters, and return value. Search, sort and filter data. Leverage the power of XML. ADO.NET training course details Who will benefit: Programmers working with ADO.Net. Prerequisites: Effective programming with VB.NET or Concise introduction to C# Duration 2 days ADO.NET training course contents Introducing ADO.Net Traditional Data Access Architecture. ADO.Net Disconnected Data Access Architecture. Different components of ADO.Net. A review of basic SQL queries SQL SELECT Statement. SQL INSERT Statement. SQL UPDATE Statement. SQL DELETE Statement. Common data access tasks with ADO.Net Accessing Data using ADO.Net. Defining the connection string. Defining a Connection. Defining the command or command string. Defining the Data Adapter. Creating and filling the DataSet. A Demonstration Application The Interface. Loading the table. Filling the controls on the Form. Navigating through the records. Updating Data Steps for updating the table. Building the Application. Loading the table and displaying data in the form's controls. Initialising Commands. Adding Parameters to the commands. The ToggleControls() method of our application. Editing (or Updating) Records. Event Handler for the Save Button. Event Handler for the Cancel Button. Inserting Records. Deleting a Record. Using Stored Procedures Sample Stored Procedures. UPDATE Stored Procedure. INSERT Stored Procedure. DELETE Stored Procedure. SELECT Stored Procedure. Using Stored Procedures with ADO.Net.

In the past, popular thought treated artificial intelligence (AI) as if it were the domain of science fiction or some far-flung future. In the last few years, however, AI has been given new life. The business world has especially given it renewed interest. However, AI is not just another technology or process for the business to consider - it is a truly disruptive force.

Management of Value (MoV®) Practitioner: In-House Training This interactive MoV® Practitioner course provides a modular and case-study-driven approach to learning Management of Value (MoV). The core knowledge is structured and comprehensive; and well-rounded modules cover the methodology and various techniques. A case study is used to help appreciate the relevance of MoV in its practical application. What you will Learn The MoV Practitioner Course prepares you for the MoV Practitioner exam. Individuals certified at the MoV Practitioner level will be able to: Apply Management of Value (MoV) principles, processes and techniques, and advocate the benefits of this application appropriately to the senior Management. Develop a plan of MoV activities for the whole lifecycle of small and large projects and programs. Plan an MoV study, tailoring it to particular projects or programs and developing practical study or workshop handbooks as required. Understand and articulate value in relation to organizational objectives. Prioritize value drivers using function analysis and use these to demonstrate how value might be improved. Quantify monetary and non-monetary value using the Value Index, Value Metrics and the Value for Money ratio. Describe and comment on the application of various techniques relevant to MoV. Monitor improvements in value realized throughout a project lifecycle and capture learning which can be transferred to future projects. Offer suggestions and guidance about embedding MoV into an organization, including policy issues, undertake a health check, assess maturity and competence, and provide guidance on typical roles and responsibilities. Understand and articulate the use of MoV within other Best Management Practice methods and its contributions to them Benefits of Taking This Course Upon successful completion of this course, you will be able to: Organise and contribute constructively to a Management of Value (MoV) Study Demonstrate a knowledge of MoV principles, processes, approach, and environment Analyse a company, programme or project to establish its organisational value includes identification and weighting of Value Drivers Pass the AXELOS Practitioner Examination Function Analysis Customer FAST Diagram Value Tree Development Weighting Attributes Paired Comparisons Developing a Value Profile Developing a Value Index Value for Money Ratio Stimulating Innovation Value Engineering Option Evaluation and Selection Evaluation Matrix Value and Value for Money Timing and Planning Teams and Stakeholders MoV in the Organization Integrating with Best Management Practice Relationship between Process and Approach

Management of Value (MoV®) Practitioner This interactive MoV® Practitioner course provides a modular and case-study-driven approach to learning Management of Value (MoV). The core knowledge is structured and comprehensive; and well-rounded modules cover the methodology and various techniques. A case study is used to help appreciate the relevance of MoV in its practical application. What you will Learn The MoV Practitioner Course prepares you for the MoV Practitioner exam. Individuals certified at the MoV Practitioner level will be able to: Apply Management of Value (MoV) principles, processes and techniques, and advocate the benefits of this application appropriately to the senior Management. Develop a plan of MoV activities for the whole lifecycle of small and large projects and programs. Plan an MoV study, tailoring it to particular projects or programs and developing practical study or workshop handbooks as required. Understand and articulate value in relation to organizational objectives. Prioritize value drivers using function analysis and use these to demonstrate how value might be improved. Quantify monetary and non-monetary value using the Value Index, Value Metrics and the Value for Money ratio. Describe and comment on the application of various techniques relevant to MoV. Monitor improvements in value realized throughout a project lifecycle and capture learning which can be transferred to future projects. Offer suggestions and guidance about embedding MoV into an organization, including policy issues, undertake a health check, assess maturity and competence, and provide guidance on typical roles and responsibilities. Understand and articulate the use of MoV within other Best Management Practice methods and its contributions to them Benefits of Taking This Course Upon successful completion of this course, you will be able to: Organise and contribute constructively to a Management of Value (MoV) Study Demonstrate a knowledge of MoV principles, processes, approach, and environment Analyse a company, programme or project to establish its organisational value includes identification and weighting of Value Drivers Pass the AXELOS Practitioner Examination Function Analysis Customer FAST Diagram Value Tree Development Weighting Attributes Paired Comparisons Developing a Value Profile Developing a Value Index Value for Money Ratio Stimulating Innovation Value Engineering Option Evaluation and Selection Evaluation Matrix Value and Value for Money Timing and Planning Teams and Stakeholders MoV in the Organization Integrating with Best Management Practice Relationship between Process and Approach

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