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Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember! The assessment for the Qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the Qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills 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. UNIT1- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. 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.

Duration 1 Days 6 CPD hours For the better part of every day, we are communicating to and with others. Whether it?s the speech you deliver in the boardroom, the level of attention you give your spouse when they are talking to you, or the look you give the cat, it all means something. This workshop will help participants understand the different methods of communication and how to make the most of each of them. 1 - Getting Started Icebreaker Housekeeping Items The Parking Lot Workshop Objectives 2 - The Big Picture What is Communication? How Do We Communicate? Other Factors in Communication 3 - Understanding Communication Barriers An Overview of Common Barriers Language Barriers Cultural Barriers Differences in Time and Place 4 - Paraverbal Communication Skills The Power of Pitch The Truth about Tone The Strength of Speed 5 - Non-Verbal Communication Understanding the Mehrabian Study All About Body Language Interpreting Gestures 6 - Speaking Like a STAR S = Situation T = Task A = Action R = Result Summary 7 - Listening Skills Seven Ways to Listen Better Today Understanding Active Listening Sending Good Signals to Others 8 - Asking Good Questions Open Questions Closed Questions Probing Questions 9 - Appreciative Inquiry The Purpose of AI The Four Stages Examples and Case Studies 10 - Mastering the Art of Conversation Level One: Discussing General Topics Level Two: Sharing Ideas and Perspectives Level Three: Sharing Personal Experiences Our Top Networking Tips 11 - Advanced Communication Skills Understanding Precipitating Factors Establishing Common Ground Using ?I? Messages 12 - Wrapping Up Words from the Wise Review of Parking Lot Lessons Learned Completion of Action Plans and Evaluations Additional course details: Nexus Humans Communication Strategies 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 Communication Strategies 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.

Online CIMA courses delivered by Eagle Education.

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***24 Hour Limited Time Flash Sale*** Level 7 in Strategic Learning & Development Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Are you a professional feeling stuck in your career, struggling to keep up with the ever-changing demands of the industry? Or perhaps you're a beginner, unsure of where to start or how to break into your desired field. Whichever stage you're in, our exclusive Level 7 in Strategic Learning & Development Bundle provides unique insights and tools that can help you achieve your goals. Designed to cater to the needs of both seasoned professionals and aspiring newcomers, our Level 7 in Strategic Learning & Development bundle is a comprehensive program that will equip you with the essential skills and knowledge you need to succeed. Whether you're looking to advance in your current role or embark on a new career journey, this bundle has everything you need to take your professional life to the next level. But that's not all. When you enrol in Level 7 in Strategic Learning & Development Online Training, you'll receive 30 CPD-Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free. 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HR Manager Team Leader People Operations Specialist Leadership Coach Consultant Certificates Award in Organisation & People Management at QLS Level 2 Hard copy certificate - Included CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate - £29

Tableau is an intuitive and simple tool to learn. This Tableau training course is a jumpstart to getting report writers and analysts who are self-taught or have no previous knowledge to being productive. It covers everything from connecting to data, through to creating interactive dashboards with a range of visualisations in three days. Having a quick turnaround from starting to use Tableau, to getting real, actionable insights means that you get a swift return on your investment. At the end of this course, you will be able to communicate insights more effectively, enabling your organisation to make better decisions, quickly. This accelerated approach is key to getting engagement from within your organisation so everyone can immediately see and feel the impact of the data and insights you create. Our Tableau Desktop Fast Track course combines all of our Foundation (Fundamentals) and Analyst (Intermediate) content into a 3 day live online course with added access to online bonus content of 3 additional modules. Gathering Requirements, Bring Your Own Data and Engaging Users. What do you get? This course is delivered live virtually and has all material provided through our online portal, together with email support and live coaching sessions. The full program includes all of the following elements: 3 days of live and interactive instructor-led sessions delivered by an expert Tableau Trainer 6 weeks access to our live coaching program delivered by expert Tableau coaches 50+ practical exercises to practice what you learn 12 months access to video’s that walk you through the theory and exercise solutions Practical advice, tools and resources for using Tableau in the real world The three additional online modules provide:Clarity on the approach to gathering dashboard requirements in a way that can be translated into dashboard designs.An agile and iterative development process that delivers products that meet user needs more quickly and effectively.An understanding of how end users will interact with dashboards to ensure that designers deliver actionable results. THE SYLLABUS PHASE 1: DESIGN MODULE 1: UNDERSTAND TABLEAU What is possible How does Tableau deal with data Know your way around Review of Type Conversions How do we format charts Dashboard basics – My first Dashboard MODULE 2: TRANSFORM DATA Connecting to and setting up data in Tableau Modifying data attributes How Do I Structure my Data – Groups & Hierarchies, Visual Groups How Tableau Deals with Dates – Using Discrete and Continuous Dates, Custom Dates How do I create calculated fields and why? – Creating Calculated Fields, Types of calculated fields, Row Level v Aggregations, Aggregating dimensions in calculations, Changing the Level of Detail (LOD) of calculations – What, Why, How MODULE 3: GATHER REQUIREMENTS(ONLINE CONTENT ONLY) Brainstorm and assess possible priorities Pitfalls to avoid Gather requirements PHASE 2: DEVELOP MODULE 4: CREATE CHARTS Charts that Compare Multiple Measures – Measure Names and Measure Values, Shared Axis Charts, Dual Axis Charts, Scatter Plots Showing progress over time Creating Tables – Creating Tables, Highlight Tables, Heat Maps Showing Relational & Proportional Data – Pie Charts, Donut Charts, Tree Maps Making things dynamic with parameters MODULE 5: COMBINE DATA Relationships Joining Tables – Join Types, Joining tables within the same database, cross database joins, join calculations Blending – How to create a blend with common fields, Custom defined Field relationships and mismatched element names, Calculated fields in blended data sources Unions – Manual Unions and mismatched columns, Wildcard unions Data Extracts – Creating & Editing Data extracts MODULE 6: ANALYSE INFORMATION Table Calculations Sets, Reference Lines, Trends and Forecasting Answering spatial questions – Mapping, Creating a choropleth (filled) map, Using your own images for spatial analysis, Mapping with spatial files Advanced charts Bar in Bar charts Bullet graphs Creating Bins and Histograms Creating a Box & Whisker plot Viz in Tooltips PHASE 3: DESIGN MODULE 7: BUILD DASHBOARDS Using the Dashboard Interface Device layouts Dashboard Actions – Set actions, Parameter actions Viz in Tooltips for Dashboards Dashboard containers – Horizontal & Vertical containers, Hidden containers Navigate between dashboards Telling data driven stories MODULE 8: BRING YOUR OWN DATA Design Best Practices & Resources Wireframe templates Questions Process Start building and testing MODULE 9: EMPOWER STAKEHOLDERS What is Tableau Server Publishing & permissions How can your users engage with content The Tableau ecosystem Review your progress Your next steps HOW MUCH OF YOUR TIME WILL THIS TAKE? Delegates are also provided 6 weeks access to our Tableau Coaching. We run Live Q&A sessions from 4pm-5pm on a Monday (Connecting to Data and Calculated Fields), 2pm-3pm Friday (Creating Charts) & 4pm-5pm Friday (Dashboard Design). The coaching helps delegates to transition from the theory of using Tableau to its practical use. We’d be expecting them to apply the exercises you’ll be doing during the course, onto your own data after the course. In our experience, this is the best way to increase both understanding and long term memory retention. The live coaching also acts as a troubleshooting platform for any practical issues that delegates need to overcome in the real world. Delegates also have 12 months access to all of the training material covered in the course in the form of an online portal (this includes theory videos, exercise solution videos, exercise materials and even quizzes). We have a growing LinkedIn community that delegates are encouraged to join and participate in. We regularly post useful blog posts and additional training that will enhance the Tableau journey and understanding. We help teams using Tableau to transform in the following ways : From a disjointed understanding of Tableau – To being familiar with Tableau terminology and capability From ad-hoc data uploads and error prone calculations – To reusable data connections and robust metrics From disjointed stakeholder questions – To clear and concise requirements that lead to decision making From being unsure how difficult Tableau will be to learn – To being able to develop standard charts and tables in Tableau with dynamic reporting capabilities From manually combining data for each analytical task – To dynamically combining data from multiple tables for analysis From being unsure how to answer analytical questions and what options there are – To being equipped with multiple actionable, dynamic, analytical use cases From not knowing Why, When and How to create Dashboards or Story’s – To being able to combine analysis to answer complex questions and tell data driven stories From using demo data theory – To Delivering value [Answering questions] on their own data From spending lots of time answering colleagues ad-hoc (data) questions – To empowering stakeholders in answering ad-hoc queries and reducing the time to analyse and steer the business

Course Objectives At the end of this course you will be able to: Modify the PowerPoint environment Using Master View in order to customise a design template Add and customize SmartArt graphics Add animations and change its effect options Add action buttons to control the flow of the presentation Use various options to customise slide shows Use different PowerPoint file types to distribute presentations ' 1 year email support service Take a closer look at the consistent excellent feedback from our growing corporate clients visiting our site ms-officetraining co uk Customer Feedback Very clearly explained Good pace. Lucy Tailor - ACER ' With more than 20 years experience, we deliver courses on all levels of the Desktop version of Microsoft Office and Office 365; ranging from Beginner, Intermediate, Advanced to the VBA level. Our trainers are Microsoft certified professionals with a proven track record with several years experience in delivering public, one to one, tailored and bespoke courses. Tailored in company training courses: You can choose to run the course exactly as they are outlined by us or we can customise it so that it meets your specific needs. A tailored or bespoke course will follow the standard outline but may be adapted to your specific organisational needs. Customising the PowerPoint Environment Customise the User Interface Set PowerPoint Options Customising Design Templates Modify Slide Masters and Slide Layouts Add Headers and Footers Modify the Notes Master and the Handout Master Adding SmartArt to a Presentation Create SmartArt Modify SmartArt Working with Media Add Audio to a Presentation Add Video to a Presentation Working with Animations Entrance, Emphasis and Exit Animations Animate Charts by Category and Series Customise Animations and Transitions Collaborating on a Presentation Review a Presentation Store and Share Presentations on the Web Customising a Slide Show Annotate a Presentation Set Up a Slide Show Create a Custom Slide Show Add Hyperlinks Add Action Buttons Record a Presentation Securing and Distributing a Presentation Secure a Presentation Create a Video or a CD Distribute the Presentation in different File Formats Who is this course for? Who is this course for? This course is designed for delegates who want to gain the skills necessary to work with design templates, various types of diagrams, special effects, custom slide shows, collaboration functionality, and advanced presentation delivery. Requirements Requirements Preferably, delegates should have attended the Powerpoint Introduction course. Career path Career path Microsoft Office know-how can instantly increase your job prospects as well as your salary. 80 percent of job openings require spreadsheet and word-processing software skills

Course Objectives At the end of this course you will be able to: Identify and work with basic Word 2013 tools and features Edit text in a Word document Modify the appearance of text in a Word document Organise data in tables and lists Insert special characters and graphical objects Control the appearance of pages in a Word document Proof a document Customise the Word environment '1 year email support service Take a look at the consistent excellent feedback from our corporate clients visiting our site ms-officetraining co uk Customer Feedback Good pace, questions encoraged, trainer ensured everyone was kept at same level. Jenny Price - ACER ' With more than 20 years experience, we deliver courses on all levels of the Desktop version of Microsoft Office and Office 365; ranging from Beginner, Intermediate, Advanced to the VBA level. Our trainers are Microsoft certified professionals with a proven track record with several years experience in delivering public, one to one, tailored and bespoke courses. Tailored in company training courses: You can choose to run the course exactly as they are outlined by us or we can customise it so that it meets your specific needs. A tailored or bespoke course will follow the standard outline but may be adapted to your specific organisational needs. Getting Started with Word Identify the Components of the Word Interface Create a Word Document Help Editing a Document Navigate and Select Text Modify Text Find and Replace Text Formatting Text and Paragraphs Apply Character Formatting Align Text Using Tabs Display Text as List Items Control Paragraph Layout Apply Borders and Shading Apply Styles Manage Formatting Adding Tables Insert a Table Modify a Table Format a Table Convert Text to a Table Managing Lists Sort a List Renumber a List Customise a List Inserting Graphic Objects Insert Symbols and Special Characters Add Images to a Document Page Setup Apply a Page Border and Color Add a Watermark Add Headers and Footers Control Page Layout Proofing a Document Check Spelling and Grammar Other Proofing Tools Check Accessibility Customising the Word Environment Customise the Word Interface Additional Save Options Who is this course for? Who is this course for? This course is intended for delegates who want to learn the fundamentals skills of working with Microsoft Word Requirements Requirements General knowledge of the Windows OS Career path Career path Microsoft Office know-how can instantly increase your job prospects as well as your salary. 80 percent of job openings require spreadsheet and word-processing software skills

The main subject areas of the course are: Role of the analyst Stage one Stage two Stage three Stage four Certificates and reporting results DCU clearance testing Quality control