Key Objectives for the Training provision Effective listening to a client's needs and requirements during various stages of the sales process. Engage in meaningful communication with clients, learn to identify challenges and opportunities that relate to the prospects. Overcome the identified challenge. Build long term rapport and establish trust with the prospect throughout the sales process, Ensure continued customer satisfaction that can turn into repeat business. Be able to build rapport with customers or clients. Know the right questions to ask to fully understand the customer or client’s needs without putting on any pressure. Be able to check you have the right information from the customer or client. Be able to match products and services to the customer or client using the information you have gathered. Be able to influence effectively. Know how to stand out from your competitors. Stage 1 – Research the Company’s ‘Value Propositions’ and USP Analysis Conducting 30 min confidential interviews with a cross-section of the eligible Attendees & the Stakeholders, in order to gain an objective understanding of the various scenarios and clients that the Participants work with. the Company’s ‘Value Propositions’ Unique Selling Points The Customers’ journey(s) The Competition’s offers for analysis and comparisons. From these findings, a carefully calibrated bespoke Programme will be designed and delivered. Stage 2 - Design the Bespoke 2 x day Course nd Stage 3 - Delivery of the Course Programme This Programme can be delivered in 2 x consecutive days, or split between 2 – 3 weeks, to make it more ‘work-friendly’ – if required. It is very practical and commercially focussed in approach, with lots of interactive exercises designed to draw out the learning applications via the debriefings. The ‘Real Play’ scenarios on day 2 will be based on specific case studies drawn from the Research findings so that they are authentic to optimise the learning. Individual Action Plans will be captured at the end of each day to be debriefed by the Participants’ respective Line Managers. Template Programme Day One – Foundation – Strategic Approach Section One – The Principles of Consultative Selling Defining ‘Consultative Selling’ The Company’s ‘Unique Selling Points’ & Value Proposition The Consultative Selling model – the five stages Avoiding appearing ‘pushy’, ‘pressurising’ or ‘talking through the sale’ Section Two –Strategy & Preparation ‘Buy-Class’ Matrix Strategic plan Template – matching services/products to identified needs & opportunities. Preparing a range of objectives Constants and variables – USP’s Researching key Client/Decision Makers’ priorities, profile & background (LinkedIn etc.) Preparing for potential & likely Objections Section Three – Email etiquette & ‘influencing’ email correspondence. Email etiquette A.B.S.U.R.D model Clarity and tone – discovery of clients’ needs & motivational factors. Techniques to influence and ‘nudge’. Ensuring the data and content have a ‘gentle’ motivational & appealing message. Top Tips Day Two – Practical Application Section Four – Rapport Building & Effective Communication skills ‘Behaviour Labelling’ techniques – setting a positive tone. Asking Open Questions – gaining a full understanding of the clients’ priorities & expectations. EQ - Inviting opinions; perspectives; experiences – winning confidence. Active Listening – focus and commitment to understand. ‘Reading the room’ – adapting to responses and reactions. Maintaining focus on relevant topics that the Client cares about; carefully consider the opportunities to influence. But NO PRESSURE! Building a ‘bond of trust’ with commitments and authentic, shared values. Section Five – Explaining the Benefits – aligned to the Customers’ Priorities Understanding ‘Why do People Buy?’ Research data analysis. Open questions that lead to understanding the key issues and Clients’ priorities. Avoiding the danger of ‘pressurising’ the Client. Responding to objections effectively, with confidence and sensitivity. Explaining the benefits that are aligned to the Clients’ stated requirements. Making the Data ‘sing’ – memorable takeaways for the Client. Augmented benefits – Brand confidence; Case studies; Warranty; Service; Range; Flexibility etc. in alignment with their stated preferences/requirements Differentials compared to Competitors Section Six – Winning Commitment Inviting commitment – with confidence Consultative Selling Closing techniques (e.g. Alternative Close/Assumptive Close et al) Avoiding ‘talking through the sale’ – knowing when to ‘Shut UP!’ Confirming agreement – ensuring Clients’ motivation for repeat business Section Seven – Practical Application ‘Real Play’ From the Research findings, carefully devised scenarios can be generated to provide the most valuable learning opportunities to underpin all the skills & techniques covered in the Programme. Potential Real Play scenarios: A well-established customer has indicated that they are soon to be opening up additional new offices – this presents an opportunity to arrange for the Company to support them with their upcoming needs. After some very positive feedback and with the upcoming contract renewal imminent – how can the Company give the Customer more high-quality support in other areas of their business? A Competitor has been to see the client and they have prompted some concerns about ‘value for money’ & ‘quality of service’. How Real Play works… The group is split the group into 2 sub-groups, one with our Professional Actor (option available); the other with the Trainer or a willing Participant. Each group has a brief and has to instruct their Trainer/Actor/Participant on how to approach the scenario supplied. The Actor and Trainer (or willing Participant) perform the role play(s) as instructed by their respective teams; however, during the action they can be paused for further recommendations or direction. The outcome is the responsibility of the team(s) – not the performers. Debrief the full Programme Individual Action Plans - to be followed through. ‘Best Practices’ for application into the business Options for Exercises within the Programme Sample Exercise – Red & White There is a specific time managed agenda and itinerary, which puts the group under pressure. The key challenge is for the sub-groups to maximise the commercial value from the task, however there is always a great danger that the individuals attempt to gain financial progress at the expense of the other group! Debriefing points: Persuasive communication and influence across barriers Gaining buy-in when others are sceptical Strategic planning accounting for others’ behaviours Sample Exercise – Communication Challenge Each Participant has different pieces of information, but are not allowed to share it visually. They are only allowed to communicate to work out the solution hidden among the large amount of data. Debrief: Structured approach Maintaining focus through distractions/interference Active Listening Controlled communication Sample Exercise – Persuasive emails Sample emails are shared to be critiqued and improved upon to be debriefed: Tone & impact Making the Data ‘sing’ Influential & motivational language Customer centric message. Sample Exercise –Juggling Each Participant has to pass the ‘Customers’ (Juggling balls) carefully through the system with all the other Participants to reach a profitable conclusion Debrief: EQ to read the room and effectively communicate, when the pressure is on Customer focus and adapting to challenges Devising a plan that wins buy-in Overcoming competing ideas to get to ‘best practice’ Consistent commitment, communication and motivational drivers that influenced performance. Sample Exercise –Critical Path The group are provided with 30 x discs and some ‘post-it’ notes. (no pens or pencils are allowed) Their brief is to create a grid shape with the 30 x discs, which will act as ‘stepping stones’ for the ‘Critical Path’ But they have to follow the correct order through the grid from the start to finish, which they will have to work out through ‘trial & error’ All of the team must pass through the ‘Critical Path’ worked out on the grid, observing the constraints, within the time limit. No talking is permitted once they start using the materials Debrief: - Clear communication focussing on the ‘client’s journey’ Planning for challenges Identifying risks and mitigating them Role allocations & support Quality control and disciplines Sample Exercise –Back to Back Each Participant is positioned back-to-back with a partner. They have to work out precisely what the ‘statement’ given to the other person is without looking around. Each person has a different brief. Debrief: - Asking Open Questions Active Listening Accuracy in identifying the objective.
Are you looking to enter the dynamic world of real estate? Our course is designed to equip you with the knowledge and tools you need to communicate effectively with real estate professionals and develop key skills in real estate investment strategy and analytics. At the end of the course, you'll be able to read and interpret real estate market reports, and have a firm grasp of how iconic buildings, cities, and companies fit into the overall picture of the real estate sector. On this course, you will… Become familiar with the players, structure, general terminology and overall needs of Real Estate. Learn what is Real Estate and why it is different from other asset classes Get to grips with the overall size and structure of the UK Real Estate Market Learn and analyse the links between the different parts of the property market Understand who works in the Real Estate Market, their qualifications and their job descriptions Recognise how and when to use basic real estate concepts: Rent, Value, Yield, Risk and Return, etc… Learn how to read a real estate market report Understand how current affairs, politics and economics affects Real Estate Investment Use household names and iconic companies, cities and buildings to help consolidate your appreciation of this exciting sector Who will benefit from this course: Graduates or undergraduates studying economics, finance. Professionals working in Marketing or Accounting teams within Real Estate firms. APC students. Anyone interested in Real Estate. School leavers/A-Level Students looking to gain an understanding of Real Estate. Non cognate students who wish to transfer into Real Estate/Finance careers. Course Outline Module 1: What is and why buy Real Estate? The property Market The Size and Structure of the UK property market The impact of Real Estate in the Economy Module 2: The Real Estate Market System The Space Market The Asset Market The Development Market Module 3: How to value Real Estate An Introduction to Financial Mathematics The difference between Price, Value and Worth Property Yield Conventional Valuation Methods Module 4: How to read a Real Estate Market Report Property Market Indicators: Stock Indicators Property Market Indicators: Investment Indicators Module 5: Who works in Real Estate? The build Environment by Cobalt Recruitment Rea; Estate Agents Examples of Real Estate Market Agents CVs Real Estate Network
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.
Duration 4 Days 24 CPD hours This course is intended for Successful students have experience and knowledge in IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platforms, and governance. Students also have experience designing and architecting solutions. Before attending this course, students must have previous experience deploying or administering Azure resources and strong conceptual knowledge of: Azure compute technologies such as VMs, containers and serverless solutions Azure virtual networking to include load balancers Azure Storage technologies (unstructured and databases) General application design concepts such as messaging and high availability This course teaches Azure Solution Architects how to design infrastructure solutions. Course topics cover governance, compute, application architecture, storage, data integration, authentication, networks, business continuity, and migrations. The course combines lecture with case studies to demonstrate basic architect design principles. Prerequisites Before attending this course, students must have previous experience deploying or administering Azure resources and conceptual knowledge of: Azure Active Directory Azure compute technologies such as VMs, containers and serverless solutions Azure virtual networking to include load balancers Azure Storage technologies (unstructured and databases) General application design concepts such as messaging and high availability AZ-104T00 - Microsoft Azure Administrator 1 - Design governance Design for governance Design for management groups Design for subscriptions Design for resource groups Design for resource tags Design for Azure Policy Design for role-based access control (RBAC) Design for Azure landing zones 2 - Design an Azure compute solution Choose an Azure compute service Design for Azure Virtual Machines solutions Design for Azure Batch solutions Design for Azure App Service solutions Design for Azure Container Instances solutions Design for Azure Kubernetes Service solutions Design for Azure Functions solutions Design for Azure Logic Apps solutions 3 - Design a data storage solution for non-relational data Design for data storage Design for Azure storage accounts Design for data redundancy Design for Azure Blob Storage Design for Azure Files Design for Azure managed disks Design for storage security 4 - Design a data storage solution for relational data Design for Azure SQL Database Design for Azure SQL Managed Instance Design for SQL Server on Azure Virtual Machines Recommend a solution for database scalability Recommend a solution for database availability Design security for data at rest, data in motion, and data in use Design for Azure SQL Edge Design for Azure Cosmos DB and Table Storage 5 - Design data integration Design a data integration solution with Azure Data Factory Design a data integration solution with Azure Data Lake Design a data integration and analytic solution with Azure Databricks Design a data integration and analytic solution with Azure Synapse Analytics Design strategies for hot, warm, and cold data paths Design an Azure Stream Analytics solution for data analysis 6 - Design an application architecture Describe message and event scenarios Design a messaging solution Design an Azure Event Hubs messaging solution Design an event-driven solution Design a caching solution Design API integration Design an automated app deployment solution Design an app configuration management solution 7 - Design authentication and authorization solutions Design for identity and access management (IAM) Design for Microsoft Entra ID Design for Microsoft Entra business-to-business (B2B) Design for Azure Active Directory B2C (business-to-customer) Design for conditional access Design for identity protection Design for access reviews Design service principals for applications Design managed identities Design for Azure Key Vault 8 - Design a solution to log and monitor Azure resources Design for Azure Monitor data sources Design for Azure Monitor Logs (Log Analytics) workspaces Design for Azure Workbooks and Azure insights Design for Azure Data Explorer 9 - Design network solutions Recommend a network architecture solution based on workload requirements Design patterns for Azure network connectivity services Design outbound connectivity and routing Design for on-premises connectivity to Azure Virtual Network Choose an application delivery service Design for application delivery services Design for application protection services 10 - Design a solution for backup and disaster recovery Design for backup and recovery Design for Azure Backup Design for Azure blob backup and recovery Design for Azure files backup and recovery Design for Azure virtual machine backup and recovery Design for Azure SQL backup and recovery Design for Azure Site Recovery 11 - Design migrations Evaluate migration with the Cloud Adoption Framework Describe the Azure migration framework Assess your on-premises workloads Select a migration tool Migrate your structured data in databases Select an online storage migration tool for unstructured data Migrate offline data 12 - Introduction to the Microsoft Azure Well-Architected Framework Azure Well-Architected Framework pillars Cost optimization Operational excellence Performance efficiency Reliability Security 13 - Microsoft Azure Well-Architected Framework - Cost Optimization Develop cost-management discipline Design with a cost-efficiency mindset Design for usage optimization Design for rate optimization Monitor and optimize over time 14 - Microsoft Azure Well-Architected Framework - Operational excellence Embrace DevOps culture Establish development standards Evolve operations with observability Deploy with confidence Automate for efficiency Adopt safe deployment practices 15 - Microsoft Azure Well-Architected Framework - Performance efficiency Negotiate realistic performance targets Design to meet capacity requirements Achieve and sustain performance Improve efficiency through optimization 16 - Microsoft Azure Well-Architected Framework - Reliability Design for business requirements Design for resilience Design for recovery Design for operations Keep it simple 17 - Microsoft Azure Well-Architected Framework - Security Plan your security readiness Design to protect confidentiality Design to protect integrity Design to protect availability Sustain and evolve your security posture 18 - Getting started with the Microsoft Cloud Adoption Framework for Azure Customer narrative Common blockers 19 - Prepare for successful cloud adoption with a well-defined strategy Customer narrative Capture strategic motivation Define objectives and key results Evaluate financial considerations Understand technical considerations Create a business case 20 - Prepare for cloud adoption with a data-driven plan Customer narrative 21 - Choose the best Azure landing zone to support your requirements for cloud operations Customer narrative Common operating models Design areas for Azure landing zones Design principles for Azure landing zones Journey to the target architecture Choose an Azure landing zone option Deploy the Azure landing zone accelerator Enhance your landing zone 22 - Migrate to Azure through repeatable processes and common tools Customer narrative Migration process Migration tools Common tech platforms 23 - Address tangible risks with the Govern methodology of the Cloud Adoption Framework for Azure Customer narrative Govern methodology Corporate policies Governance disciplines Deploy a cloud governance foundation The Cost Management discipline 24 - Ensure stable operations and optimization across all supported workloads deployed to the cloud Establish business commitments Deploy an operations baseline Protect and recover Enhance an operations baseline Manage platform and workload specialization 25 - Innovate applications by using Azure cloud technologies Follow the innovation lifecycle Azure technologies for the build process Infuse your applications with AI Azure technologies for measuring business impact Azure technologies for the learn process 26 - Prepare for cloud security by using the Microsoft Cloud Adoption Framework for Azure Customer narrative Methodology Security roles and responsibilities Simplify compliance and security Simplify security implementation Security tools and policies Additional course details: Nexus Humans AZ-305T00: Designing Microsoft Azure Infrastructure Solutions 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 AZ-305T00: Designing Microsoft Azure Infrastructure Solutions 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.
The comprehensive Clinical Data Analysis with SAS has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Clinical Data Analysis with SAS today, and learn from the very best the industry has to offer! This best selling Clinical Data Analysis with SAS has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Clinical Data Analysis with SAS is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Clinical Data Analysis with SAS is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Clinical Data Analysis with SAS is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Clinical Data Analysis with SAS , you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Clinical Data Analysis with SAS will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Clinical Data Analysis with SAS to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.
Unveil the power of data through our captivating Basic Data Analysis course, where curiosity meets capability. Embark on a journey of discovery, exploring the intricacies of data and information analysis. Dive deep into various data analysis methods and tools, from exploratory data analysis to qualitative data analysis. Let us ignite your passion for deciphering insights hidden within data. In this course, you'll master the fundamentals of data analysis, gaining invaluable skills applicable across diverse fields. Explore modules covering the principles of process management and strategies for driving improvement through data-driven insights. From understanding variation to presenting performance data effectively, each module equips you with practical knowledge essential for success in data analysis jobs. So, if you are looking for data analysis courses, you've landed on the right page. Learning Outcomes: Acquire proficiency in using data analysis tools such as Pareto charts, histograms, and control charts. Develop the ability to interpret performance data and identify patterns through exploratory data analysis. Gain a comprehensive understanding of variation and strategies to manage it effectively. Apply data-driven approaches to drive continuous improvement and enhance decision-making processes. Demonstrate proficiency in structuring performance measurement systems to optimize organizational outcomes. Why buy this Basic Data Analysis Course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Certification After studying the course materials of the Basic Data Analysis there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Basic Data Analysis course for? Individuals eager to enter the field of data analysis. Professionals seeking to enhance their data analysis skills. Students interested in exploring the principles of process management. Anyone curious about leveraging data for informed decision-making. Individuals aiming to pursue data analysis jobs in various industries. Prerequisites This Basic Data Analysis does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Basic Data Analysis was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Analyst: £25,000 - £40,000 Per Annum Business Analyst: £30,000 - £45,000 Per Annum Financial Analyst: £30,000 - £50,000 Per Annum Market Research Analyst: £25,000 - £35,000 Per Annum Operations Analyst: £25,000 - £40,000 Per Annum Quality Assurance Analyst: £25,000 - £35,000 Per Annum Course Curriculum Basic Data Analysis Module 01: Introduction 00:02:00 Module 02: Agenda and Principles of Process Management 00:06:00 Module 03: The Voice of the Process 00:05:00 Module 04: Working as One Team for Improvement 00:04:00 Module 05: Exercise: The Voice of the Customer 00:03:00 Module 06: Tools for Data Analysis 00:07:00 Module 07: The Pareto Chart 00:03:00 Module 08: The Histogram 00:03:00 Module 09: The Run Chart 00:04:00 Module 10: Exercise: Presenting Performance Data 00:05:00 Module 11: Understanding Variation 00:06:00 Module 12: The Control Chart 00:06:00 Module 13: Control Chart Example 00:04:00 Module 14: Control Chart Special Cases 00:06:00 Module 15: Interpreting the Control Chart 00:10:00 Module 16: Control Chart Exercise 00:07:00 Module 17: Strategies to Deal with Variation 00:06:00 Module 18: Using Data to Drive Improvement 00:14:00 Module 19: A Structure for Performance Measurement 00:06:00 Module 20: Data Analysis Exercise 00:06:00 Module 21: Course Project 00:03:00 Module 22: Test your Understanding 00:17:00 Assignment Assignment - Diploma in Data Analysis Fundamentals 00:00:00
Our data analysis course offers comprehensive training in various data analysis tools like histograms, run charts and many other charts. Under expert guidance, you will be able to extract valuable insights from raw data, make informed decisions and solve complex problems. This Course At A Glance Accredited by CPD UK Endorsed by Quality Licence Scheme Learn about data analysis tools such as Tableau Public, SAS, Excel, RapidMiner and several alike Understand the meaning of the Pareto Chart, its analysis, and its applications Learn everything about Histogram, its uses, and applications Understand the importance of the Control chart, its examples, exceptional cases, and its interpretation Get to know about data variation and strategies to deal with variation Learn how to work in unison and present the quality data to the clients successfully Learn how to use data at various stages of business and what data tactics to use to drive business performance Have a thorough understanding of the principles and process of data management Data Analysis Course Overview This comprehensive online course is apt for those who want to become an expert in data analysis, understand data and data science, and learn analytics tools and techniques. You will learn about process management principles, tools for data analysis, the Pareto Chart, Histogram, and much more. By the end of the course, you will have a solid understanding of data management, data presentation, run chart, variation, control chart, strategies to deal with variation, and interpreting the control chart. Who should take this course? The data analysis course is designed for those who want to understand nuances of lists, sets, dictionaries, working, loading etc. It is ideal for anyone who wants to pursue their career in data analytics or anyone who wants to understand the principles of process management, tools of data analysis or different types of data charts such as Pareto chart, Histogram, and the Run chart. Entry Requirement There are no academic entry requirements for this Data Analysis course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This Data Analysis Course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Course Curriculum Data Analysis 101 Welcome Agenda and Principles of Process Management The Voice of the Process Working as One Team for Improvement Exercise: The Voice of the Customer Tools for Data Analysis The Pareto Chart The Histogram The Run Chart Exercise: Presenting Performance Data Understanding Variation The Control Chart Control Chart Example Control Chart Special Cases Interpreting the Control Chart Control Chart Exercise Strategies to Deal with Variation Using Data to Drive Improvement A Structure for Performance Measurement Data Analysis Exercise Course Project Test your Understanding Assessment Assessment - Data Analysis Recognised Accreditation CPD Certification Service This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Quality Licence Scheme Endorsed The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. Certificate of Achievement Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org