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Wrexham Foyer

wrexham foyer

Denbighshire,

In this document the expression ‘we’ refers to, ClwydAlyn Housing Limited, Tir Tai Limited, PenArian Limited and Tai Elwy Limited, that provides housing and related services across North Wales. Each entity is the controller of its own personal data although data may be processed by other Group members on its behalf This privacy notice sets out how ClwydAlyn collects and uses information about you. Please read this privacy notice carefully to understand how we will use your personal information. If you have any questions or queries in relation to this privacy notice, you can contact our Data Protection Officer at: datacontroller@clwydalyn.co.uk 72 Ffordd William Morgan, St Asaph Business Park, St Asaph, Denbighshire, LL17 0JD 0800 1835757 (freephone from a landline) or 01745 536800 This privacy notice explains: What information we may collect about you How we use your information Contacting you Sharing your information Our legal basis for collecting, holding and using your information Security and storage of your information Your rights 1.What information we may collect about you The information we collect about you depends on why we are dealing with you. For example, if you make a housing application or become one of our tenants, we will need more information from you than if you are merely making an enquiry. We may collect the information about you in the following circumstances: If you call our Contact Centre When you call our contact centre we collect Calling Line Identification (CLI) information. We use this information to help improve its efficiency and effectiveness. We record calls for training and monitoring purposes. Additionally, our call handlers will make a record of your call in order to manage your query. We may need to share information with other organisations within or outside ClwydAlyn in order to respond to your call, for example so that we can organise maintenance or repairs or other support. We will usually tell you if it is necessary for us to pass information on to other organisations. If you email us Any email sent to us, including any attachments, may be monitored and used by us for reasons of security and for monitoring compliance with office policy. Email monitoring or blocking software may also be used. Please be aware that you have a responsibility to ensure that any email you send to us is within the bounds of the law. If you make a complaint to us When we receive a complaint from a person we make up a file containing the details of the complaint. This normally contains the identity of the complainant and any other individuals involved in the complaint. We will only use the personal information we collect to process the complaint and to check on the level of service we provide. If a complainant doesn’t want information identifying him or her to be disclosed to any person that the complaint is about, we will try to respect that. However, it may not be possible to handle a complaint on an anonymous basis. Similarly, where enquiries are submitted to us we will only use the information supplied to us to deal with the enquiry and any subsequent issues and to check on the level of service we provide. If you use our services We hold the details of the people who request and use our services so that we can provide these services and for other closely related purposes. For example, we use information about our service users to develop and improve our services and to make sure we are delivering services to different groups fairly. If you apply for housing or become a tenant, there is certain information that we require in order to process your application and manage your tenancy. If you do not provide us with this information, we will not be able to progress your application. When you visit our websites We automatically collect certain information when you visit one of our websites. Please see Use of Cookies below for more information about this. When you use our customer portal, you are able to view information held in our housing management system, including personal details, account statements, tenancy information, repair history and pay your rent / service charges. Please note that we use a third party provider, Verseone to support our customer portal. Information we receive from others We work closely with other organisations, such as local councils, police forces, voluntary sector organisations, other housing providers and our contractors, and we may receive information about you from them. If you visit our premises We may ask you to sign in and out if you visit staff or residents at our premises. Access is controlled for the purposes of building and occupant security. Access is recorded to assist with fire and other evacuation procedures. Furthermore, your image may be captured on CCTV to monitor and collect visual images for the purpose of security and the prevention and detection of crime. If you use our Wi-Fi or computer to access our IT systems, access and activity may be monitored to prevent misuse of Group property, according to our IS Corporate policies. Job applicants When individuals apply to work for us, we will only use the information they supply to us to process their application and to monitor recruitment statistics. Where we want to disclose information to a third party, for example where we want to take up a reference or obtain a ‘disclosure’ from the Criminal Records Bureau we will not do so without informing them beforehand unless the disclosure is required by law. Personal information about unsuccessful candidates will be held for 12 months after the recruitment exercise has been completed; it will then be destroyed or deleted. We retain de-personalised statistical information about applicants to help inform our recruitment activities, but no individuals are identifiable from that data. Once a person has taken up employment with us, we will compile a file relating to their employment. The information contained in this will be kept secure and will only be used for purposes directly relevant to that person’s employment. Once their employment with us has ended, we will retain the file in accordance with the requirements of our retention schedule and then delete it. If you are a member of one of our Boards, Committees or Panels We may ask for personal details for managing and statistical purposes. 2.How we use your information We process your personal information primarily in connection with managing our housing services. If you are a tenant, this includes managing your tenancy and dealing with any applications, queries or complaints that you make. Examples of how we use your information include: to confirm your identity to assess your suitability to access any of our services to manage your tenancy, care or support to ensure our properties are appropriately maintained and in accordance with legal obligations, such as periodic gas safety checks to notify you about important changes to our services to let you know about other relevant services, both ours and those of other parties whose products and services we have agreed should be made available to you (see the section below on 'Contacting you' for more information about this) to update and correct our records to carry out statistical and market analyses, including benchmarking exercises, to enable us to understand you better and improve our services, and in accordance with our operating Regulations to develop, test and improve our systems to ensure that content of our website is presented in the most effective manner for you and for your computer to administer our website and for internal operations, including troubleshooting, data analysis, testing, research, statistical and survey purposes to comply with other legal obligations, such as Health and Safety laws or safeguarding vulnerable people We may combine information we receive from other sources with information you give to us for the purposes set out above (depending on the types of information we receive). 3.Contacting you We will use your contact information to send you important information via letters, emails, text messages, or otherwise to telephone you. We may record telephone calls for security and training purposes. We may use the information we hold about you in order to provide you with information about our services which we feel may interest you. You can opt out of receiving marketing communications at any time, although please note that we will continue to send you important messages about your tenancy. If you have changed your mind about being contacted for marketing purposes, please contact our Customer Services Team on 0800 1835757 (freephone from a landline) or 01745 536800 to update your preferences. 4.Sharing your information We do not sell your information to any third party, but in certain limited circumstances we may disclose your personal information to: any member of our group, which means our subsidiaries, our ultimate holding company and its subsidiaries, as defined in section 736 of the UK Companies Act 1985; and/or other third parties in the following circumstances: if we are under a duty to disclose or share your personal data in order to comply with any legal obligation; in order to enforce or apply our terms and conditions and other agreements; to protect the rights, property, or safety of ClwydAlyn, our customers, or others; to investigate or prevent a crime. This includes exchanging information with other companies and organisations for the purposes of fraud protection and credit risk reduction; to obtain any professional advice; and/or with your consent. 5.Our legal basis for collecting, holding and using your information Data protection law sets out various lawful legal bases (or ‘conditions’) which allow us to collect, hold and use your personal information: Where you have entered into a contract or contracts with us, we may need to use your information to provide you with our services. An example of this is where you have a tenancy with us. Where we are under a legal obligation which requires us to process your personal information. For example, notifications of Health and Safety incidents. We will sometimes use your personal information based upon your consent. We will always tell you where this is the case and ask you to agree before we process your information. An example of using your personal information with your consent is publishing your image as part of a photograph on our website. Finally, sometimes it is necessary to process your personal information for the purposes of our own legitimate interests. We will only do so where these interests are not overridden by the interests and fundamental rights or the freedoms of the individuals concerned. An example of this is when we may contact you about your experience of contacting our Customer Services Team or a recent repair to your property. Data protection law recognises certain "special categories" of personal information, which is information revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, genetic information, biometric information for uniquely identifying a person, information concerning health, and information concerning a person's sex life or sexual orientation. Information about criminal offences and records is placed in a similar category. These special categories of personal information are considered particularly sensitive and so we will only collect and use this information where you have given us your explicit consent or where we consider it necessary to do so. 6.Security and storage of your personal information The information about you that we collect may be transferred to, and stored at, a destination outside the European Economic Area (EEA). It may also be processed by staff operating outside the EEA who work for one of our suppliers. We will take all steps reasonably necessary to ensure that your data is treated securely and in accordance with this privacy policy. We will generally keep personal information about you no longer than is needed for as per our Retention Policy. 7.Your rights You have the right to request from us access to your own personal information. This is sometimes known as a 'subject access request'. You also have the right to ask us not to process your personal data for direct marketing purposes. We will tell you if we intend to use your data for this purpose or if we intend to disclose your information to any third party for this purpose. You can exercise your right to prevent such processing by checking certain boxes on the forms we use to collect your data or by contacting our Customer Services Team on 0800 1835757 (freephone from a landline) or 01745 536800. From 25 May 2018, you will have additional rights to request from us: That any inaccurate information we hold about you is corrected That your information is deleted That we stop using your personal information for certain purposes That your information is provided to you in a portable format That decisions about you are not made by wholly automated means Many of the rights listed above are limited to certain defined circumstances and we may not be able to comply with your request. We will tell you if this is the case. If you choose to make a request to us, we will aim to respond to you within one month. We will not charge a fee for dealing with your request.

Courses matching " Data analysis"

Show all 1099

Introduction to DAX for Power BI

By Nexus Human

Duration 2 Days 12 CPD hours This course is intended for This course is intended for business users who have been using Power BI to build analytic solutions and are ready to take advantage of the power and flexibility that DAX provides. Learning DAX is a very common 'next step' for experienced Power BI users. Overview At course completion, you should be able to describe DAX syntax, data types, and errors use DAX to create calculated columns, measures, and tables explain how DAX calculations are evaluated, along with the differences between row context and filter context configure and use Time Intelligence to perform common time-based calculations, for example to-date calculations, year-over-year analysis, moving averages, etc. create calculated columns and measures that use data from multiple tables in the data model write measures that handle error conditions gracefully use DAX to enhance the Power BI user experience use DAX Studio to connect to a Power BI data model and execute simple queries Welcome to Introduction to DAX for Power BI. This two-day instructor-led course is intended for business users who have been using Power BI and want to use DAX to create custom calculations in their data models. In this class, you will be introduced to using Data Analysis Expressions (DAX), which is the expression language that is used to create custom calculations in the Power BI Data model. The course covers some of the theoretical underpinnings of the data model and the DAX language, but the emphasis is on using DAX to solve common business problems. You will learn how to write your own calculated columns, measures, and tables, how to visualize the way Power BI computes DAX calculations, and how to troubleshoot custom code. MODULE 1: GETTING STARTED WITH DAX INTRODUCTION TODAX CREATING OBJECTS WITHDAX CONTEXT AND RULES OF EVALUATION VARIABLES,COMMENTS,AND TESTING MODULE 2: PERFORMING BASIC CALCULATIONS GETTING STARTED IMPLICIT MEASURES ADDING QUICK MEASURES WORKING WITH DAX DATA TYPES . DOING BASIC MATH USING LOGIC IN YOUR CALCULATIONS USING THE IF() FUNCTION NESTED IF() USING THE SWITCH() FUNCTION ADVANCED SWITCH() LOGICAL OPERATORS & FUNCTIONS: ||, OR(), &&, AND(), NOT() AGGREGATING AND SUMMARIZING DATA THE SUM() FUNCTION MODULE 3: WORKING WITH CONTEXT IN THE DATA MODEL CONTEXT DEFINED DATA MODELING BASICS INTRODUCTION TO DIMENSIONAL MODELING RELATIONSHIPS AND THEIR EFFECT ON THE EVALUATION CONTEXT GETTING DATA FROM OTHER TABLES USING RELATED() AND RELATEDTABLE LOOKING UP DATA WITHOUT USING RELATIONSHIPS MODIFYING THE CONTEXT USING CALCULATE() MODULE 4: PERFORMING MORE ADVANCED CALCULATIONS THE DAX ITERATOR FUNCTIONS USING TABLE MANIPULATION FUNCTIONS MODULE 5: WORKING WITH TIME PERFORMING DATE CALCULATIONS WORKING WITH DATE TABLES GENERATING A DATE TABLE WITH THE CALENDAR() FUNCTION DEFINING CUSTOM OPERATING PERIODS YTD, QTD, AND MTD CALCULATIONS CUSTOM TO-DATE CALCULATIONS FINDING YEAR-OVER-YEAR CHANGE FINDING MOVING AVERAGES MODULE 6: ENHANCING THE USER EXPERIENCE CONTROLLING VISIBILITYOF YOUR MEASURES USING WHAT-IF PARAMETERS ADDING BANDING USING DAX TO PROVIDE ROW-LEVEL SECURITY

Introduction to DAX for Power BI
Delivered Online
£900

PL-300T00 Microsoft Power BI Data Analyst

By Nexus Human

Duration 3 Days 18 CPD hours This course is intended for The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises. This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Prerequisites Understanding core data concepts. Knowledge of working with relational data in the cloud. Knowledge of working with non-relational data in the cloud. Knowledge of data analysis and visualization concepts. DP-900T00 Microsoft Azure Data Fundamentals is recommended 1 - Discover data analysis Overview of data analysis Roles in data Tasks of a data analyst 2 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 3 - Get data in Power BI Get data from files Get data from relational data sources Create dynamic reports with parameters Get data from a NoSQL database Get data from online services Select a storage mode Get data from Azure Analysis Services Fix performance issues Resolve data import errors 4 - Clean, transform, and load data in Power BI Shape the initial data Simplify the data structure Evaluate and change column data types Combine multiple tables into a single table Profile data in Power BI Use Advanced Editor to modify M code 5 - Design a semantic model in Power BI Work with tables Create a date table Work with dimensions Define data granularity Work with relationships and cardinality Resolve modeling challenges 6 - Add measures to Power BI Desktop models Create simple measures Create compound measures Create quick measures Compare calculated columns with measures 7 - Add calculated tables and columns to Power BI Desktop models Create calculated columns Learn about row context Choose a technique to add a column 8 - Use DAX time intelligence functions in Power BI Desktop models Use DAX time intelligence functions Additional time intelligence calculations 9 - Optimize a model for performance in Power BI Review performance of measures, relationships, and visuals Use variables to improve performance and troubleshooting Reduce cardinality Optimize DirectQuery models with table level storage Create and manage aggregations 10 - Design Power BI reports Design the analytical report layout Design visually appealing reports Report objects Select report visuals Select report visuals to suit the report layout Format and configure visualizations Work with key performance indicators 11 - Configure Power BI report filters Apply filters to the report structure Apply filters with slicers Design reports with advanced filtering techniques Consumption-time filtering Select report filter techniques Case study - Configure report filters based on feedback 12 - Enhance Power BI report designs for the user experience Design reports to show details Design reports to highlight values Design reports that behave like apps Work with bookmarks Design reports for navigation Work with visual headers Design reports with built-in assistance Tune report performance Optimize reports for mobile use 13 - Perform analytics in Power BI Explore statistical summary Identify outliers with Power BI visuals Group and bin data for analysis Apply clustering techniques Conduct time series analysis Use the Analyze feature Create what-if parameters Use specialized visuals 14 - Create and manage workspaces in Power BI Distribute a report or dashboard Monitor usage and performance Recommend a development life cycle strategy Troubleshoot data by viewing its lineage Configure data protection 15 - Manage semantic models in Power BI Use a Power BI gateway to connect to on-premises data sources Configure a semantic model scheduled refresh Configure incremental refresh settings Manage and promote semantic models Troubleshoot service connectivity Boost performance with query caching (Premium) 16 - Create dashboards in Power BI Configure data alerts Explore data by asking questions Review Quick insights Add a dashboard theme Pin a live report page to a dashboard Configure a real-time dashboard Set mobile view 17 - Implement row-level security Configure row-level security with the static method Configure row-level security with the dynamic method Additional course details: Nexus Humans PL-300T00: Microsoft Power BI Data Analyst 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 PL-300T00: Microsoft Power BI Data Analyst 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.

PL-300T00 Microsoft Power BI Data Analyst
Delivered Online + more
£1,785

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4.3(5)

By Bayfield Training

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Real Estate Financial Modelling School
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£4,600

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4.3(5)

By Bayfield Training

The Real Estate Analyst course has been taught non-stop to global real estate firms over the last 25 years, and is without doubt the core financial modelling training in your career portfolio. Whether you have an upcoming financial modelling test for a new job or an APC exam, the Real Estate Analyst course is the choice for you.

Real Estate Analyst (Investment Cash Flow Modelling in Excel)
Delivered in person or Online + more
£1,750

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4.6(12)

By PCWorkshops

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Excel Course for Data Analysis, 1-Day
Delivered Online & In-Person in London
FREE

Python Data Analytics Course

4.6(12)

By PCWorkshops

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£185

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4.3(5)

By Bayfield Training

The Real Estate Investor course primarily focuses on financial modelling and commercial considerations in the real estate industry across various sectors, geographies, and project types.

Real Estate Investor (Advanced Development Cash Flow Modelling in Excel)
Delivered in person or Online + more
£2,000

How to make AI work for you - Braintree

5.0(1)

By Let’s Do Business Group

Join us this November for a FREE in-person workshop in Braintree, which introduces SMEs to a variety of AI tools useful for improving business processes!

How to make AI work for you - Braintree
Delivered In-Person in Essex
FREE

Python Boot Camp, 12-weeks

4.6(12)

By PCWorkshops

Python Data Analytics boot camp. 12 1 day lessons, learn Python Basics through to machine learning and front-ends. With practical project to give you full confidence and credibility.

Python Boot Camp, 12-weeks
Delivered In-Person in London + more
£1,800

Data Analysis

By Step Into Learning

Data analysis translates numbers and data into information that can be used to solve problems or track business performance. Data analysis produces graphs, charts, tables and reports. Data analysis is in high demand across all sectors, such as finance, consulting, manufacturing, pharmaceuticals, government and education. The ability to pay attention to detail, communicate well and be highly organised are essential skills for data analysts. They not only need to understand the data but be able to provide insight and analysis through clear visual, written and verbal communication. This course provides the knowledge and skills to help you hone your data analysis skills.

Data Analysis
Delivered In-Person in Launceston or UK WideFlexible Dates
£150