34556 Courses

Learn about basic Alias interface and various tools and surface creation ways! If you are new to Alias, this course is the best choice for you. Course Description We have released some lessons as a short Autodesk Alias tutorial so car design lovers can follow and learn Alias easily. Thanks to Mohammad, our mentor for providing tutorials. For more professional Alias modelling courses please visit MS3D Academy. Here's why you'll succeed Start with Zero KnowledgeThis course is good for beginners who want to start from zero. Full explanations will help you to understand Alias interface as well. Gold StartLearning Alias interface and useful tools will help you to understand basics of car 3D modeling better and get ready for full car courses. Experienced InstructorsAll lessons include step-by-step instructions by a highly talented instructor with extensive knowledge about Alias modelling. Course Lessons Start Start from here! Download Autodesk Alias Basic Tutorials Alias Basics 1 Alias Basics 2 Review The Course Alias Basics 3 Alias Basics 4 Alias Basics 5 The End! Upload Your First Alias Model Review The Course Next Step? Ready to help you anytime About this course Free 12 lessons 2 hours of video content FAQ What is Autodesk Alias? Autodesk Alias is the most professional software being used at automotive industries and design studios. The power of analyzing surfaces, high quality surfaces, nice flows and pro connections and other features have turned Alias into a very useful and professional software. Alias supports all formats of 3D files as inputs and export many useful formats which made Alias a compatible software. Alias focuses on automotive design as Autodesk introduce and promote it as the only professional 3D surface designer. How can I download and install Alias? You can download Autodesk Alias Surface 2021 from MS3D.net website. Autodesk Alias Surface and Autodesk Alias Auto Studio from 2020 to 2022 are what you have to download and install. Autodesk offers a FREE 30 days trial version to students. You can register at Autodesk website and download it. Although you may purchase the full version which is unlimited.] You can also use the cracked version if you just want to learn Alias at home. We do not guarantee the license whereas many websites offer that. How long do I get access to my courses? You will access the contents immediately after you purchased a course. You’ll have lifetime access to the course and all its contents, so you can watch them whenever you like. Most of the videos we provide are downloadable so you may download them and watch later. Can I register for a course if I am working full time? Yes, of course! All of our courses are pre-recorded. You can work on your own pace and will support your step-by-step to makes sure you make most benefit out of your investment. Most of our course contents are downloadable so even if you didn't have access to internet, you can still watch the contents. What is the language of the courses? The Language of the recorded videos is English. It is a very easy listening speaking with very responsive reactions along the video. For some students, is is very important to completely understand what the mentor is saying. So we respectfully inform you that the speaking is very understandable in all of the videos so even students who are not very proficient in English can use these videos. Many students with a low level of English knowledge were certified (from other courses) with satisfaction. What's Next? After you learned about Basics of Autodesk Alias, you can go one step forward and join our 3D Car Modeling courses provided by MS3D Academy to start your professional Alias car modeling career. We support you until the end!

Celebrating Connection and Community This week, we’re bringing together two powerful themes—Connection and Community—to spotlight what makes our workplace not just a place to grow, but a place to belong. As part of Learning at Work Week, we're celebrating Connection—how learning brings us together, sparks new ideas, and strengthens our ability to collaborate and grow. At the same time, during Mental Health Awareness Week, we’re focusing on Community—recognizing that the support we offer each other plays a vital role in our wellbeing. This special session, Understanding Burnout and Avoiding Stress, will explore how we can recognize early signs of burnout, manage stress effectively, and support both ourselves and our colleagues. Both themes remind us that we thrive when we learn together, support one another, and create a culture where everyone feels seen, heard, and valued. Whether it's through a shared learning moment or a simple check-in, every connection builds a stronger, healthier community. Session Details: Date: Friday 16th May Time: 10am-11am Location: Virtual All employees are encouraged to attend and take this opportunity to reflect, reconnect, and invest in their wellbeing.

Mercer’s Financial Education Clinic – Helping You Plan for the Future We are excited to invite you to Mercer’s Financial Education Clinic, a group session designed to help you take control of your financial future. This session will provide expert guidance on key financial topics, equipping you with the knowledge to make informed decisions about your finances. What Will Be Covered? During this session, we will explore: Financial challenges that women may face throughout their lives Pension gaps and the financial impact of career breaks or part-time work Broader financial disparities experienced by women How we can all build awareness and contribute to financial equity Although this session is titled Female Finance, it is open to all employees and aims to raise awareness and understanding of these important financial topics. This interactive session will provide the opportunity to ask questions and gain insights into how to navigate and support financial well-being across different life circumstances. We encourage all employees to attend and take advantage of this valuable financial education opportunity. Session Details: Date: 15th July 2025 Time: 11:00 a.m. – 12:00 p.m. Location: Virtual

Carrying out manufacturing activities on multiple products with different specifications consecutively.

Getting Started The programme's primary objective is to deliver practical and realistic solutions to business-related strategic challenges backed by appropriate references to theoretical and conceptual analysis. Students showcase their understanding and findings by producing a Consultancy Project Report. Globalisation means that effective and fair management of people is more vital than ever. In a turbulent, rapidly changing business environment, the demand for HR professionals who can strategically manage and develop staff potential - whilst overcoming issues such as redundancy, flexible working and the recent challenges of furloughed staff and social distancing - has never been more fundamental to business success. The programme meets the career enhancement needs of human resource (HR) managers, advisers, and administrators. The Advanced Entry route programme is available to students that already hold relevant experience and a recognised Postgraduate Diploma (PgD) in Human Resource Management or an equivalent qualification. The Consultancy Project Report is delivered and assessed by our academic team based in the UK, utilising our virtual learning platform and with direct support from allocated supervisors. The Advanced Entry route programme typically takes 6-9 months to complete. Throughout the programme, students receive guidance from their dedicated supervisor, ensuring they make the most of their learning experience. The MA in Human Resource Management (Advanced Entry), delivered by the London Graduate School and awarded by the University of Buckingham. School of Business and Technology London partners with LGS to promote this programme. Upon completing the programme, students are awarded an MA in Human Resource Management from the University of Buckingham. Additionally, students can attend the graduation ceremony held in the UK, celebrating their achievements. About Awarding Body Buckingham is unique. It is the only independent University in the UK with a Royal Charter and probably the smallest, with around 2,700 students (approx 1,600 on campus). The University campus is well known for being one of the most attractive locations in the region. The Great Ouse River, home to much wildlife, winds through the heart of campus. Each student mixes with over 100 other different nationalities, so being at Buckingham is just like being in a mini global village. These contacts, acquaintances and friendships carry on long after life at Buckingham is over. Ranked Top 10 for Student Satisfaction Ranked Top 10 for Graduate Prospect Recognised by World Education Services (WES) OTHM Qualifications are approved and regulated by Ofqual (Office of Qualifications and Examinations Regulation) and recognised by Qualifications Wales. OTHM qualifications have achieved a reputation for maintaining significant skills in various job roles and industries like Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. OTHM serves the progression option with several UK universities that acknowledges the ability of learners after studying Level 3-7 qualifications to be considered for advanced entry into corresponding degree year/top-up and Master's/top-up programmes. Regulated by ofqual.gov.uk Recognised by World Education Services (WES) Assessment Assignments and Projects only No Examinations Entry Requirements A relevant and recognised postgraduate diploma or equivalent, such as the OTHM Level 7 Diploma in Human Resource Management. Along with the application, students must provide the certificate and transcript as proof of this qualification. A Bachelor's degree or an equivalent higher qualification. A copy of a valid photo ID for identification purposes. A well-written Statement of Purpose should outline the student's motivations, career goals, and reasons for pursuing the MA in Human Resource Management. An updated Curriculum Vitae (CV) that highlights at least two years of work experience at the graduate level in either a managerial or professional capacity. By submitting these necessary documents, applicants can take the initial step towards joining the MA in Human Resource Management programme and furthering their expertise in the field of HR. English Requirements A pass in English at the A level. Completion of a Bachelor's degree programme taught and assessed in English. An overall score of 6.5 or higher in the International English Language Testing System (IELTS), with a minimum score of 6.0 in each component. A Test of English as a Foreign Language (TOEFL) score of 72 or higher, with a minimum of 18 in reading, 17 in listening, 20 in speaking, and 17 in writing. In addition to the above requirements, all applicants will be required to participate in a live virtual interview with a staff member from the London Graduate School. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. Structure MA in Human Resource Management (Advanced Entry) Programme structure Research Methods Consultancy Project Report Delivery Methods The MA in Human Resource Management (Advanced Entry), delivered by the London Graduate School and awarded by the University of Buckingham through distance learning. You will receive excellent support from academic team of London Graduate School, including your programme manager and your supervisor who will be with you every step of the way. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Joe Griffin reviews past theories and new research findings (which add further evidence for his own theory) as he tells the riveting story of how he solved the mystery of our dreams… Why does Nature select certain experiences to be the subject of our dreams? Why do they feel so meaningful to us? And what purpose do they serve? Fascinating - makes a lot of sense!SUPPORT WORKER Why take this course The renowned Irish psychologist Joe Griffin’s illuminating lecture answers these questions and many more as he takes us through the story of how he solved the mystery of why we dream – and discovered at the same time the significance of dreaming for our mental health. In the 20 years since Griffin first published his hypothesis, every new piece of dream and sleep research has substantiated it – none has contradicted it. In this talk, he examines the evidence and explains why other dream theories fail to come up with satisfactory answers. (His own 12 year research project was prompted by the realisation that the discovery of the REM state in 1953 meant Freudian and Jungian dream theories were ‘dead in the water’.) Whilst describing his own experiments and the key ‘light bulb’ moments which finally helped him solve this age-old mystery, he takes us on a fasincating exploration of the significance of various scientific findings in the field – some previously overlooked – before demonstrating how his expectation fulfilment theory of dreams succinctly pulls them together into a powerful explanation that makes absolute evolutionary and common sense. Nature, as ever, has been clever and economical. I appreciated how such a complex theory was expressed in a way that anyone could relate to and understand. Many ThanksNIKI What you will learn The auto-symbolic process Why all dreams have to be metaphorical to prevent false memories building up Metaphorical pattern-matching Why we evolved to suppress emotions Why dreaming was Nature’s way of conserving energy Why dreaming evolved to maintain the integrity of mammalian instincts The connection between unfulfilled emotional expectations and nightmares Dream predictions Why all mammals dream and more… Who is this course suitable for? If you deal professionally with members of the public in difficult, stressful circumstances, this course – presented without jargon – is for you If you counsel or treat angry people, this training is for you If anger is affecting you personally – or you would simply like to deepen your understanding of anger and its effects – this course will be of benefit to you too The many insights and practical applications that have stemmed from Griffin’s highly original work intro why we dream have huge significance for us all – and they have been quietly revolutionising the successful treatment of mental health and behavioural problems for years through the human givens approach to psychology, psychotherapy and education, co-founded by Joe Griffin and Ivan Tyrrell.

The core principles gained from this course will help delegates have a better understanding of how to manage the relationships between sales and marketing stakeholders on the demand side and the manufacturing and other operational stakeholders on the supply side. PARTICIPANTS WILL LEARN HOW TO: • Take a different perspective on traditional data such as sales history and forecasts, as well as time-phased inventory projections and production capacity. • Recognise how their forecasts impact manufacturing schedules and inventory levels. • Assess whether they are producing enough products to meet sales demand. • Recognise how production is tied to finance and see the financial impact of production decisions, so appropriate adjustments may be then undertaken. COURSE TOPICS INCLUDE: What is S&OP? – Introduction – Definition and benefits S&OP processes – What information is required? – The stages of the S&OP process (including inputs & outputs) The integration of S&OP into a business – Critical success factors for an effective implementation – Typical roles and responsibility matrix

Machine literacy in data wisdom is a fleetly expanding discipline and now is the crucial element. This groundbreaking field equips computers and systems with the capacity to learn from data and ameliorate their performance over time without unequivocal programming. Statistical ways are employed to train algorithms to produce groups or prognostications and to find significant findings in data mining systems. immaculately, the conclusions made from these perceptivity impact crucial growth pointers in operations and companies. What's Machine Learning? . Machine learning classes in pune The machine literacy term was chased by Arthur Samuel in 1959. It's the discipline solely concentrated on studying and erecting tools and ways that can let machines learn. These styles use data to enhance the computer performance of a particular set of tasks. Machine literacy algorithms induce prognostications or possibilities and produce a model grounded on data samples, also called training data. There's a need for machine literacy as these algorithms are applied in a broad range of operations, for illustration, computer vision, dispatch filtering, speech recognition, husbandry, and drugs, where it's a challenge to produce traditional algorithms that can negotiate the needed tasks. orders in Machine Learning Being such a vast and complicated field, machine literacy is divided into three different orders machine literacy orders Supervised literacy – In this system, the algorithm is trained using data that has been labeled and in which the target variable or asked result is known. Once trained, the algorithm may make prognostications grounded on unidentified information by learning how to associate input variables with the willed affair. Unsupervised literacy – In this case, the algorithm is trained on unlabeled data, and its thing is to discover structures or patterns within the data without having a specific target variable in mind. Common unsupervised literacy tasks include dimensionality reduction and clustering. underpinning literacy – An algorithm is trained via relations with the terrain in this type of literacy. The algorithm learns how to operate in order to maximize a price signal or negotiate a particular ideal. Through prices or penalties, it receives feedback that helps it upgrade its decision-making process. Artificial Intelligence and Machine Learning Artificial intelligence( AI) is divided into several subfields, and machine literacy( ML) is one of them. In order to produce intelligent machines that can pretend mortal intelligence, a variety of methodologies, approaches, and technologies are used. This notion is known as artificial intelligence( AI). The development of ways and models that allow computers to acquire knowledge from data and make recommendations or judgments without unequivocal programming is the focus of machine literacy( ML). Some academics were interested in the idea of having machines learn from data in the early stages of AI as an academic field. They tried to approach the issue using colorful emblematic ways and neural networks. They were primarily perceptrons, along with other models that were ultimately discovered to be reimaginings of the generalized direct models of statistics. For this case, you aim to make a system secerning cows and tykes. With the AI approach, you'll use ways to make a system that can understand the images with the help of specific features and rules you define. Machine literacy models will bear training using a particular dataset of pre-defined images. You need to give numerous farmlands of cows and tykes with corresponding markers. Why is Machine Learning Important? Machine literacy is an abecedarian subfield of artificial intelligence that focuses on assaying and interpreting patterns and structures in data. It enables logic, literacy, and decision-making outside of mortal commerce. The significance of machine literacy is expanding due to the extensively more expansive and more varied data sets, the availability and affordability of computational power, and the availability of high-speed internet. It facilitates the creation of new products and provides companies with a picture of trends in consumer geste and commercial functional patterns. Machine literacy is a high element of the business operations of numerous top enterprises, like Facebook, Google, and Uber. Prophetic Analytics Machine learning course in pune Machine literacy makes prophetic analytics possible by using data to read unborn results. It's salutary in the fields of finance, healthcare, marketing, and logistics. Associations may prognosticate customer growth, spot possible troubles, streamline operations, and take visionary action to ameliorate results using prophetic models. Personalization and recommendation systems Machine literacy makes recommendation systems and substantiated gests possible, impacting every aspect of our diurnal lives. Platforms like Netflix, Amazon, and Spotify use machine literacy algorithms to comprehend stoner preferences and offer substantiated recommendations. Personalization boosts stoner pleasure and engagement while promoting business expansion. Image and speech recognition Algorithms for machine literacy are particularly good at jobs like speech and picture recognition. Deep literacy, a branch of ML, has converted computer vision and natural language processing. It makes it possible for machines to comprehend, dissect, and produce visual and audio input. This technology is helpful for driverless vehicles, surveillance, medical imaging, and availability tools, among other effects. Machine learning training in pune

REFERENCE CODE 610/0134/X COURSE LEVEL NVQ Level 3 THIS COURSE IS AVAILABLE IN Course Overview Who is this qualification for? This qualification is aimed at those who are involved in either site carpentry including first and second fixing, those who are involved in shopfitting site work or those who carry out shopfitting bench work. The qualification is at level 3 although there may be some units at different levels. Level 3 qualifications are primarily aimed at those who are fully trained and experienced in a wide range of work activities, It is not expected that candidates working in this industry all do the same activities or use the same equipment and machinery so the qualification has been developed to make it as widely available as possible. All work completed must be carried out in accordance with Building Regulations and Industry recognised safe working practices, including the disposal of waste. The qualification is structured to ensure that there is a high degree of flexibility within the pathways and units available and will allow employees from companies of all sizes and specialisms equal opportunity to complete. The qualification consists of 3 pathways. What is required from candidates? Qualifications are also required to indicate the number of hours of teaching someone would normally need to receive in order to achieve the qualification. These are referred to as Guided Learning Hours (GLH). The GLH for this qualification is 404. Pathway 1 Site Joinery, Pathway mandatory units Level Credits Installing bespoke first fixing components in the workplace Installing bespoke second fixing components in the workplace Setting up and using transportable cutting and shaping machines in the workplace Erecting roof structure carcassing components in the workplace Confirming work activities and resources for an occupational work area in the workplace Developing and maintaining good occupational working relationships in the workplace Confirming the occupational method of work in the workplace Conforming to general health, safety and welfare in the workplace Pathway 1 Site joinery – Optional units minimum of 1 unit must be achieved Erecting structural carcassing components in the workplace Maintaining non-structural and structural components in the workplace Pathway 2-Shopfitting site work-Pathway mandatory units Marking out from setting out details for routine shopfitting products in the Summary of the: GQA LEVEL 3 NVQ DIPLOMA IN WOOD OCCUPATIONS (CONSTRUCTION) Installing shopfitting frames and finishings in the workplace Installing shopfitting fitments in the workplace Installing shopfronts and finishings in the workplace Setting up and using transportable cutting and shaping machines in the workplace Confirming work activities and resources for an occupational work area in the workplace Developing and maintaining good occupational working relationships in the workplace Confirming the occupational method of work in the workplace Conforming to general health, safety and welfare in the workplace Pathway 3 – Shopfitting-Bench Work – Pathway mandatory units Producing setting out details for routine shopfitting products in the workplace Marking out from setting out details for routine shopfitting products in the workplace Manufacturing routine shopfitting products in the workplace Confirming work activities and resources for an occupational work area in the workplace Developing and maintaining good occupational working relationships in the workplace Confirming the occupational method of work in the workplace Manufacturing bespoke shopfitting products in the workplace Setting up and using fixed machinery in the workplace Conforming to general health, safety and welfare in the workplace Pathway 3 – Shopfitting – Bench work – Pathway optional units a minimum of 1 unit must be achieved Producing CAD setting out details in the workplace Producing wood and wood-based products using computer numerically controlled/numerically controlled (CNC/NC) machinery in the workplace Producing setting out details for bespoke shopfitting products in the workplace Assessment Guidance: Evidence should show that you can complete all of the learning outcomes for each unit being taken. Types of evidence: Evidence of performance and knowledge is required. Evidence of performance should be demonstrated by activities and outcomes, and should be generated in the workplace only, unless indicated under potential sources of evidence (see below). Evidence of knowledge can be demonstrated though performance or by responding to questions. Quantity of evidence: Evidence should show that you can meet the requirements of the units in a way that demonstrates that the standards can be achieved consistently over an appropriate period of time. Potential sources of evidence: The main source of evidence for each unit will be observation of the candidate’s performance and knowledge demonstrated during the completion of the unit. This can be supplemented by the following types of physical or documentary evidence: Accident book/reporting systems Photo/video evidence Safety records Work diaries Training records Timesheets Audio records Telephone Logs Job specifications and documentation Meeting records Delivery Records Records of toolbox talks Witness testimonies Equipment Correspondence with customers Prepared materials and sites Notes and memos Completed work Please Note that photocopied or downloaded documents such as manufacturers or industry guidance, H&S policies, Risk Assessments etc, are not normally acceptable evidence for GQA qualifications unless accompanied by a record of a professional discussion or Assessor statement confirming candidate knowledge of the subject. If you are in any doubt about the validity of evidence, contact Oscar Onsite Academy

This course is very much a discussion, so be prepared to present and critically analyse your own and class mates work. You will also need to bring a few examples of work you have done in the past. Learning and applying best practice visualisation principles will improve effective discussions amongst decision makers throughout your organisation. As a result more end-users of your dashboards will be able to make better decisions, more quickly. This 2 Day training course is aimed at analysts with good working knowledge of BI tools (we use Tableau to present, but attendees can use their own software such as Power BI or Qlik Sense). It is a great preparation for taking advanced certifications, such as Tableau Certified Professional. Contact us to discuss the Visual Analytics Best Practice course Email us if you are interested in an on-site course, or would be interested in different dates and locations This Tableau Desktop training intermediate course is designed for the professional who has a solid foundation with Tableau and is looking to take it to the next level. Attendees should have a good understanding of the fundamental concepts of building Tableau worksheets and dashboards typically achieved from having attended our Tableau Desktop Foundation Course. At the end of this course you will be able to communicate insights more effectively, enabling your organisation to make better decisions, quickly. The Tableau Desktop Analyst training course is aimed at people who are used to working with MS Excel or other Business Intelligence tools and who have preferably been using Tableau already for basic reporting. The course includes the following topics: WHAT IS VISUAL ANALYSIS? Visual Analytics Visual Analytics Process Advantages of Visual Analysis Exercise: Interpreting Visualisations HOW DO WE PROCESS VISUAL INFORMATION? Memory and Processing Types Exercise: Identifying Types of Processing Cognitive Load Exercise: Analysing Cognitive Load Focus and Guide the Viewer Remove Visual Distractions Organise Information into Chunks Design for Proximity Exercise: Reducing Cognitive Load SENSORY MEMORY Pre-attentive Attributes Quantitatively-Perceived Attributes Categorically-Perceived Attributes Exercise: Analysing Pre-attentive Attributes Form & Attributes Exercise: Using Form Effectively Colour & Attributes Exercise: Using Colour Effectively Position & Attributes Exercise: Using Position Effectively ENSURING VISUAL INTEGRITY Informing without Misleading Gestalt Principles Visual Area Axis & Scale Colour Detail Exercise: Informing without Misleading CHOOSING THE RIGHT VISUALISATION Comparing and Ranking Categories Comparing Measures Comparing Parts to Whole Viewing Data Over Time Charts Types for Mapping Viewing Correlation Viewing Distributions Viewing Specific Values DASHBOARDS AND STORIES Exercise: Picking the Chart Type Exercise: Brainstorming Visual Best Practice Development Process for Dashboards and Stories Plan the Visualisation Create the Visualisation Test the Visualisation Exercise: Designing Dashboards and Stories This training course includes over 20 hands-on exercises to help participants “learn by doing” and to assist group discussions around real-life use cases. Each attendee receives an extensive training manual which covers the theory, practical applications and use cases, exercises and solutions together with a USB with all the materials required for the training. The course starts at 09:30 on the first day and ends at 17:00. On the second day the course starts at 09:00 and ends at 17:00. Students must bring their own laptop with an active version of Tableau Desktop 10.5 (or later) pre-installed. What People Are Saying About This Course "Steve was willing to address questions arising from his content in a full and understandable way"Lisa L. "Really enjoyed the course and feel the subject and the way it was taught was very close to my needs"James G. "The course tutor Steve was incredibly helpful and taught the information very well while making the two days very enjoyable."Bradd P. "The host and his courses will give you the tools and confidence that you need to be comfortable with Tableau."Jack S. "Steve was fantastic with his knowledge and knowhow about the product. Where possible he made sure you could put demonstrations in to working practice, to give the audience a clear understanding."Tim H. "This was a very interesting and helpful course, which will definitely help me produce smarter, cleaner visualisations that will deliver more data-driven insights within our business."Richard A. "Steve is very open to questions and will go out of his way to answer any query. Thank you"Wasif N. "Steve was willing to address questions arising from his content in a full and understandable way"Lisa L. "Really enjoyed the course and feel the subject and the way it was taught was very close to my needs"James G.