"*" indicates required fields 1Details2Knowledge3Skills4Behaviours5Qualifications, Prior Learning & Experience Welcome to the Corndel Data Professional - Google Tools - Level 3 Skills Radar. This skills radar is a self assessment tool that is used to confirm your eligibility for this apprenticeship, and to help us to understand your current level of knowledge, skills and behaviours against those of this programme. If you hold qualifications, or have prior learning or experience related to this programme we will contact you to discuss this further, as you may not be eligible for government funding. Unique IDThis field is hidden when viewing the formDate of completion DD slash MM slash YYYY Your detailsName* First Last Aptem email address* Enter Email Confirm Email Employer*Job title*Your data will be processed by Corndel in accordance with their Privacy Policy.Privacy policy* Please tick here to confirm your consent* The statements below cover the knowledge that you will learn and develop on this programme. Using the 1-10 guidance below, please assess your current level of knowledge and experience in relation to the level of this programme. 1-2: I have no prior learning or experience and cannot demonstrate this. 3-4: I have some prior learning or experience and demonstrate this inconsistently. 5-6: I have moderate prior learning or experience and demonstrate this occasionally. 7-8: I have good, or very good prior learning or experience and demonstrate this often. 9: I have extensive prior learning or experience and demonstrate this to an exemplary standard. 10: I am an expert and have nothing further to learn. Knowledge - Part 1:*12345678910Data architecture - the framework against which data is stored and structured including on premises and cloud.Different types of existing data. Common sources of data - internal, external, open data sets, public and private.Data formats and their importance for analysis Management and presentation tools to visualise and review the characteristics of data Communication tools and technologies for collaborative working.How to collate and format data in line with industry standards.How to access and extract data from a range of already identified sources.How to filter details, focusing on information relevant to the data project.The range of common data quality issues that can arise e.g. misclassification, duplicate entries, spelling errors, obsolete data, compliance issues and interpretation/translation of meaning.Different methods of validating data and the importance of taking corrective action.Basic statistical methods and simple data modelling to extract relevant data and normalise unstructured data.Algorithms, and how they work using a step-by-step solution to a problem, or rules to follow to solve the problem and the potential to use automation.Knowledge - Part 2:*12345678910Legal and regulatory requirements e.g. Data Protection, Data Security, Intellectual Property Rights (IPR), Data sharing, marketing consent, personal data definition - and the ethical use of data.The role of data in the context of the digital world including the use of eternal trusted open data sets, how data underpins every digital interaction and connectedness across the digital landscape including applications, devices, IoT, customer centricity.The value of data to the business and how to undertake blending of data from multiple sources.Different learning techniques and the breadth and sources of knowledge.Range of roles within an organisation, including: customer, manager, client, peer, technical and non-technical.Communicating the results through basic narrative.Communication methods, formats and techniques, including: written, verbal, non-verbal, presentation, email, conversation, audience and active listening.The significance of customer issues, problems, business value, brand awareness, cultural awareness/ diversity, accessibility, internal/ external audience, level of technical knowledge and profile in a business context. The statements below cover the skills that you will learn and develop on this programme. Using the 1-10 guidance below, please assess your current level of skills and experience in relation to the level of this programme. 1-2: I have no prior learning or experience and cannot demonstrate this. 3-4: I have some prior learning or experience and demonstrate this inconsistently. 5-6: I have moderate prior learning or experience and demonstrate this occasionally. 7-8: I have good, or very good prior learning or experience and demonstrate this often. 9: I have extensive prior learning or experience and demonstrate this to an exemplary standard. 10: I am an expert and have nothing further to learn. Skills - Part 1:*12345678910Store, manage and distribute in compliance with data security standards and legislation.Source and migrate data from already identified different sources.Collect, format and save datasets.Blend data sets from multiple sources and present in format appropriate to the task.Manipulate and link different data sets as required.Use tools and techniques to identify trends and patterns in data.Apply basic statistical methods and algorithms to identify trends and patterns in data.Apply cross checking techniques for identifying faults and data results for data project requirements.Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.Audit data results.Prioritise within the context of a project.Skills - Part 2:*12345678910Summarise and explain gathered data.Demonstrate the different ways of communicating meaning from data in line with audience requirements.Explain data and results to different audiences in a way that aids understanding.Produce clear and consistent technical documentation using standard organisational templates.Keep up to date with developments in technologies, trends and innovation using a range of sources.Review own development needs.Operate as part of a multi-functional team. The statements below cover the behaviours that you will learn and develop on this programme. Using the 1-10 guidance below, please assess your current level against the behaviours, in relation to the level of this programme. 1-2: I have no prior learning or experience and cannot demonstrate this. 3-4: I have some prior learning or experience and demonstrate this inconsistently. 5-6: I have moderate prior learning or experience and demonstrate this occasionally. 7-8: I have good, or very good prior learning or experience and demonstrate this often. 9: I have extensive prior learning or experience and demonstrate this to an exemplary standard. 10: I am an expert and have nothing further to learn. Behaviours:*12345678910Manage own time to meet deadlines and manage stakeholder expectations.Work independently and take responsibility.Use own initiative.A thorough and organised approach.Work with a range of internal and external customers.Value difference and be sensitive to the needs of others. Have you previously achieved a qualification equivalent to a level 3 (e.g. advanced apprenticeship) or above?* Yes No Please list all relevant qualifications*Click on the (+) to add further qualificationsTitleLevel Add RemoveOther work experience Tick here if you have any other work experience that may be relevant to this apprenticeship that could affect your eligibility. Please provide details:*SignatureThis field is hidden when viewing the formDate DD slash MM slash YYYY
