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Duration 2 Days 12 CPD hours This course is intended for This course is intended for individuals who want to gain an indepth knowledge of formatting documents using Word. Overview Upon successful completion of this course, students will be able to create and modify documents by using Microsoft Office Word 2016/365/2019. In this course, students will create, edit, and enhance technical documents using Microsoft Office Word 2016/365/2019. Formatting Text and Paragraphs Apply Character Formatting Control Paragraph Layout Aligh Text Using Tabs Display Text in Bulleted or Numbered Lists Working More Efficiently Make Repetitive Edits Apply Repetitive Formatting Use Styles to Streamline Repetitive Formatting Tasks Customize the Word Environment Managing Lists Sort a List Format a List Adding Tables Insert a Table Modify a Table Format a Table Inserting Graphic Objects Insert Symbols and Special Characters Add Images to a Document Controlling Page Appearance Add Headers and Footers Control Page Layout Add a Watermark Preparing to Publish Check Spelling, Grammar, and Readability Previw and Print Documents Use Research Tools Customizing Formats Using Styles and Themes Create and Modify Text Styles Cerate Custom List or Table Styles Apply Document Themes Inserting Content Using Quick Parts Insert Building Blocks Create and Modify building Blocks Insert Fields Using Quick Parts Using Templates to Automate Document Formatting Create a Document Using a Template Create and Modify a Template Manage Templates with the Template Organizer Controlling the Flow of a Document Control Paragrpah Flow Insert Section Breaks Insert Columns Managing Long Documents Insert Blank and Cover Pages Insert an Index Insert a Table of Contents Insert an Anchillary Table Manage Outlines Create a Master Document Manipulating Images Integrate Pictures and Text Adjust Image Appearance Adding Document References and Links Add Captions Add Cross-References Add Bookmarks Add Hyperlinks Insert Footnotes and Endnotes Add Citations and a Bibilography Additional course details: Nexus Humans Formatting Technical Documents Using Microsoft for Office 365 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 Formatting Technical Documents Using Microsoft for Office 365 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.

Overview This comprehensive course on The Complete Microsoft Outlook Masterclass will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This The Complete Microsoft Outlook Masterclass comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this The Complete Microsoft Outlook Masterclass. It is available to all students, of all academic backgrounds. Requirements Our The Complete Microsoft Outlook Masterclass is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more!   Course Curriculum 16 sections • 74 lectures • 04:03:00 total length •You Can Master Microsoft Outlook Promo: 00:02:00 •You Can Ask Me Anytime: 00:01:00 •Your Facebook Support Group: 00:01:00 •Quick Win -How To Send an Email in Outlook: 00:01:00 •Quick Win - How To Print an Email in Outlook: 00:01:00 •Another Quick Win - You Can Work Offline with Outlook: 00:01:00 •Outlook Environment: 00:03:00 •Outlook Opening: 00:02:00 •Outlook Interface Options: 00:04:00 •Sending and Receiving Email in Outlook: 00:03:00 •Sending and Receiving Email in Outlook with Attachments: 00:02:00 •Account Settings in Outlook: 00:06:00 •Automatic Replies in Outlook: 00:04:00 •Mail Box Settings in Outlook: 00:02:00 •Rules and Alerts Settings in Outlook: 00:04:00 •Exporting and Importing Rules and Alerts in Outlook: 00:01:00 •Opening Options in File Outlook: 00:04:00 •Quick Win -How to Create Folder in Outlook: 00:01:00 •Quick Win -How to Change Outlook Style: 00:01:00 •Quick Win - How To Use Quick Access Toolbar: 00:01:00 •New Email Options in Outlook: 00:03:00 •Basic Text in New Email: 00:07:00 •Name, Include and Tags in New Email: 00:03:00 •Inserting Table Into New Email: 00:10:00 •Inserting Images Into New Email: 00:10:00 •Inserting Shapes Into New Email: 00:06:00 •Inserting SmartArt Into New Email: 00:04:00 •Inserting New Chart Into New Email: 00:05:00 •Taking Screenshot Into New Email: 00:02:00 •Links, Text and Symbol: 00:03:00 •Themes, Show Fields, Encrypt, Tracking and More Options in New Email: 00:03:00 •Formatting Text in New Emails: 00:03:00 •Reviewing Menu in New Email: 00:03:00 •New Appointment at Home Menu: 00:06:00 •New Meeting at Home Menu: 00:01:00 •New Contact in Home Menu: 00:05:00 •Create New Task: 00:03:00 •Other New Item in Home: 00:02:00 •Email Deletion in Outlook: 00:02:00 •Responding to An Email in Outlook: 00:02:00 •Quick Steps, Tag and Other Functions: 00:03:00 •Complete Guide of Send and Receive: 00:03:00 •Complete Folder Guide: 00:05:00 •View and Help in Outlook: 00:04:00 •Options Intro: 00:03:00 •General Options in Outlook: 00:05:00 •Mail Options in Outlook: 00:06:00 •Calendar Options in Outlook: 00:03:00 •Contact Options in Outlook: 00:01:00 •Task Options in Outlook: 00:01:00 •Search Options in Outlook: 00:02:00 •Language Options in Outlook: 00:02:00 •Ease of Access Options in Outlook: 00:02:00 •Advanced Option in Outlook: 00:04:00 •Ribbon and Quick Access Toolbar Customization: 00:02:00 •Quick Win - Create Unknown Password: 00:01:00 •Security Is Everything: 00:01:00 •Quick Win - Insecurity Is Coming from You and Others: 00:01:00 •Understand Security Type or Category: 00:02:00 •Life Savers - You Should Know These: 00:04:00 •Have Proper Password - Start Securing You Now: 00:03:00 •Don't Use the Same Password Anymore: 00:02:00 •Should You Use Longer Password or Complicated!: 00:03:00 •Last-Pass & Authy Mobile App: 00:02:00 •The Best and Only Solution to Make and Keep Password Un-Crack-Able: 00:08:00 •Last-pass Setup and Configure: 00:10:00 •Last-Pass Options Part 1: 00:03:00 •Last-Pass Options Part 2: 00:04:00 •Last-Pass Option Part 3: 00:04:00 •2FA Makes You Even Stronger in Password: 00:05:00 •Security Is Everything, Keep Secured Your Devices: 00:07:00 •Security on Your Data and Privacy: 00:08:00 •Congratulation: 00:01:00 •Assignment -The Complete Microsoft Outlook Masterclass: 00:00:00

Data dashboards provide key information to stakeholders so that they can make informed decisions. While there are plenty of software solutions for building these essential data products, there is much less guidance on how to design dashboards to meet the diverse needs of users.  This course is for anyone who is building or implementing dashboards, and wants to know more about design principles and best practice. You could be using business intelligence software (such as Power BI or Tableau), or implementing bespoke solutions.  The course will give your team the ability to evaluate user needs and levels of understanding, make informed decisions about chart selections, and make effective use of interactivity dynamic data.  We’ll work with you before the course to ensure that we understand your organisation and what you’re hoping to achieve.  Sample learning content  Session 1: Data with a purpose Understanding the different types of dashboard. Information overload and other common dashboard pitfalls. Assessing user needs and levels of data fluency. Session 2: Planning a dashboard Assessing diverse user needs and levels of data fluency. Taking a User Experience (UX) approach to design and navigation. Applying an interative and collaborative approach to onboarding. Session 3: Graphs, charts and dials  Understanding how graphical perception informs chart choices. Making intelligent design choices to help users explore. Design principles for layout and navigation. Session 4: Using interactivity  Making effective use of filters to slice and dice data sets. Using layers of information to enable drilldown data exploration. Complenting dashboards with automated alerts and queries. Delivery We deliver our courses over Zoom, to maximise flexibility. The training can be delivered in a single day, or across multiple sessions. All of our courses are live and interactive – every session includes a mix of formal tuition and hands-on exercises. To ensure this is possible, the number of attendees is capped at 16 people.  Tutor Alan Rutter is the founder of Fire Plus Algebra. He is a specialist in communicating complex subjects through data visualisation, writing and design. He teaches for General Assembly and runs in-house training for public sector clients including the Home Office, the Department of Transport, the Biotechnology and Biological Sciences Research Council, the Health Foundation, and numerous local government and emergency services teams. He previously worked with Guardian Masterclasses on curating and delivering new course strands, including developing and teaching their B2B data visualisation courses. He oversaw the iPad edition launches of Wired, GQ, Vanity Fair and Vogue in the UK, and has worked with Condé Nast International as product owner on a bespoke digital asset management system for their 11 global markets. Testimonial “Alan was great to work with, he took us through the concepts behind data visualisation which means our team is now equipped for the future. He has a wide range of experience across the topic that is delivered in a clear, concise and friendly manner. We look forward to working with Alan again in the future.” John Masterson | Chief Product Officer | ImproveWell

Data has become the most important resource for every organisation – but the insights gained from data analysis will only ever be truly valuable if they can be clearly expressed to other people.  This course is for anybody who works with data, and needs to communicate the meaning that's in the numbers to colleagues, customers, bosses or external stakeholders.  It will give you or your team the confidence and skills to translate raw data into compelling visual stories for your key audiences. The principles and skills covered apply to the simplest PowerPoint chart, to more complex interactive visualisations.  We’ll work with you before the course to ensure that we understand your organisation and what you’re hoping to achieve.  Sample learning content Session 1: What makes a great data-driven story The key elements of a successful infographic or presentation. Industry best practice, and discussion of good (and bad) examples. A simple framework for identifying the Audience, Story and Action. Session 2: Data in context How to balance function and aesthetic appeal. Identifying the right graph, chart, infographic or other visual. Framing the data and providing contextual information. Session 3: Designing for the human brain Using colours to add emphasis and meaning. Design and layout principles, and creating hierarchies of information. The principle of ‘self-sufficiency’, and removing clutter. Session 4: Navigation and narrative Tailoring visualisations for different types of communications. Structuring presentations and longer reports. Thinking in layers to create interactive dashboards. Delivery We deliver our courses over Zoom, to maximise flexibility. The training can be delivered in a single day, or across multiple sessions. All of our courses are live and interactive – every session includes a mix of formal tuition and hands-on exercises. To ensure this is possible, the number of attendees is capped at 16 people.  Tutor Alan Rutter is the founder of Fire Plus Algebra. He is a specialist in communicating complex subjects through data visualisation, writing and design. He teaches for General Assembly and runs in-house training for public sector clients including the Home Office, the Department of Transport, the Biotechnology and Biological Sciences Research Council, the Health Foundation, and numerous local government and emergency services teams. He previously worked with Guardian Masterclasses on curating and delivering new course strands, including developing and teaching their B2B data visualisation courses. He oversaw the iPad edition launches of Wired, GQ, Vanity Fair and Vogue in the UK, and has worked with Condé Nast International as product owner on a bespoke digital asset management system for their 11 global markets.
 Testimonial “I was familiar with Alan’s work as a Guardian Masterclass instructor on data visualisation and digital journalism, which made it easy for me to recommend him for onsite training at the Liverpool School of Tropical Medicine. We had a large group of people interested in honing their abilities to depict their research and stories in engaging ways. Alan’s course provided great insight about common communication pitfalls and how to avoid them, how to become better communicators by understanding the audience diversity, and it showcased some great online tools for creating infographics. This should be mandatory training for all students, academics, report writers and those involved with conveying research to the media as it will help increase the clarity and accessibility of our own research stories.”
 Dr Lee Haines | Liverpool School of Tropical Medicine

Today, every individual and organisation is a publisher. You want everyone in your organisation to be a potential ambassador. And every employee has something to gain from raising their profile and showcasing their expertise. An effective content strategy allows you to deliver compelling stories to your audience in the most seamless way possible to make an emotional connection. This requires a mix of passion for the subject matter, a deep relationship with your audience, robust production processes, and the right tools.  With a background in journalism and technology, we’ve worked on many projects that combine the two – including overseeing the iPad edition launches for Condé Nast in the UK, product ownership of a Digital Asset Manager for Condé Nast International, and developing and delivering content training for telco VEON.  Publishers and brands we’ve worked with include WIRED, Time Out, GQ, Vanity Fair and Vogue – as well as solo entrepreneurs and startups who are trying to cut through the noise and get their message heard.  In this course we'll cover the key elements of an effective content strategy: how to plan across multiple platforms, and how to implement your blueprint without exhausting yourself or your team. Sample learning content  Session 1: Planning a content strategy Mapping and understanding your audiences. Defining your content objectives, for you or your organisation. Common pitfalls with poorly targeted content. Session 2: A content creation framework Finding ideas to generate a consistent stream of content. Idenitfying angles that will help you stand out from the crowd. Using different formats across multiple channels. Session 3: Keeping it going Simple processes to help hit deadlines and publish regularly. Balancing content creation and content creation. Creating a mix of evergreen and timely content. Session 4: Measurement and iteration Useful (and useless) metrics for content producers. Handling comments and joining the conversation. Iterating your content strategy based on feedback. Delivery We deliver our courses over Zoom, to maximise flexibility. The training can be delivered in a single day, or across multiple sessions. All of our courses are live and interactive – every session includes a mix of formal tuition and hands-on exercises. 
To ensure this is possible, the number of attendees is capped at 16 people.  Tutor Alan Rutter is the founder of Fire Plus Algebra. He is a specialist in communicating complex subjects through data visualisation, writing and design. He teaches for General Assembly and runs in-house training for public sector clients including the Home Office, the Department of Transport, the Biotechnology and Biological Sciences Research Council, the Health Foundation, and numerous local government and emergency services teams. He previously worked with Guardian Masterclasses on curating and delivering new course strands, including developing and teaching their B2B data visualisation courses. He oversaw the iPad edition launches of Wired, GQ, Vanity Fair and Vogue in the UK, and has worked with Condé Nast International as product owner on a bespoke digital asset management system for their 11 global markets. Testimonial “The EMpower Network commissioned the content creation workshop to understand how to communicate effectively with a wide range of stakeholders. In light of covid-19, it’s more important than ever to communicate clearly especially as we’ve moved to remote meetings. The workshop was very insightful and Alan was a very engaging speaker making sure all attendees contributed and worked through real-life examples. Attendees praised the usefulness of the workshop and especially liked the content generation framework with one saying 'It has changed the way I think about communicating and given me a toolkit that I will use in both my work and personal projects'.” Shade Nathaniel-Ayodele | EMpower Network, Southwark Council 

Why Learn 3ds Max Basic to Advanced Training Course? Learn 3ds max design and animation with our comprehensive 3ds Max Basic to Advanced Training Course. Whether you're a beginner or an experienced user, this course is thoughtfully designed to elevate your skills. Course Link Duration: 40 hrs Method: 1-on-1, Personalized attention & Tailored content. Schedule: 1-on-1 training with flexible scheduling. Book a convenient hour, Mon to Sat, from 9 am to 7 pm. Course Details: Course Duration: 40 hours Course Syllabus: Part 1: Introduction to 3ds Max and Vray Familiarization with the 3ds Max Interface Configuring an efficient workspace in 3ds Max Seamless navigation within 3ds Max and Vray Understanding the power of Vray and its interface Part 2: 3D Modeling Precision crafting of fundamental shapes Mastering modifiers for advanced modeling Creating intricate 3D models using diverse techniques Learning the art of polygonal modeling Shaping both organic and inorganic models flawlessly Part 3: Texturing Applying and refining textures with expertise Grasping the essentials of UVW mapping Harnessing material editor to perfection Customizing materials with Vray materials Part 4: Lighting Discovering the magic of illumination Differentiating various light types Comprehending the subtleties of light properties Setting up captivating scenes with Vray lights Part 5: Animation Embarking on an animation adventure Expertly setting up keyframes and animation curves Infusing life into objects in a mesmerizing 3D space Elevating animations with Vray's prowess Part 6: Advanced Rendering with Vray Entering the realm of rendering excellence Mastering Vray Global Illumination for realism Optimizing visuals with Vray Physical Cameras Illuminating scenes with Vray HDRI Lighting Employing Vray Proxies and Render Elements for finesse Streamlining rendering workflow with Vray's techniques Part 7: Projects Showcasing skills through hands-on projects Crafting a captivating yet simple interior scene Designing an alluring exterior scene Taking on the challenge of a complex scene with multiple elements Course Requirements: A computer with 3ds Max and Vray installed (trial versions are available on Autodesk and Chaos Group websites) Basic knowledge of computer operations Enthusiasm for 3D modeling and animation Course Objectives: Upon completing the course, you will have mastered 3ds Max and Vray, enabling you to create photorealistic 3D scenes. The skills acquired will open doors to opportunities in the 3D modeling and animation industry, while also serving as a foundation for further honing your expertise. Course Overview: Photoshop Post-Production Delve into the world of Photoshop post-production through our comprehensive course. Learn essential photo editing techniques, including color correction, retouching, and compositing. Unleash your artistic potential by creating mesmerizing visual effects and stylizing your photos. Course Syllabus: Part 1: Introduction to Photoshop Post-Production Navigating the Photoshop Interface with ease Mastering the art of Layers and Layer Masks Embracing the power of Selections Understanding the basics of Color Correction Part 2: Retouching Techniques Unraveling common Retouching Tools and Techniques Removing blemishes, wrinkles, and unwanted elements Achieving remarkable results with Dodging and Burning Part 3: Compositing Embracing the art of Compositing Working seamlessly with Multiple Images Blending images flawlessly using Layer Masks Part 4: Visual Effects and Stylizing Techniques Crafting Special Effects with Layer Styles and Blending Modes Enhancing images with Filters Achieving mesmerizing effects with Color Grading and Adjustment Layers Part 5: Projects Applying your knowledge to hands-on projects Perfectly Retouching a portrait Creating an alluring composite image Fashioning a stylized masterpiece Course Requirements: A computer with Photoshop installed (trial version available on Adobe website) Basic knowledge of computer operations Passion for photo editing and manipulation

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.

Description: This Microsoft Office 2007 Excel Advanced - Complete Video Course builds on knowledge gained in the Introduction and Intermediate courses. In Advanced Microsoft Office Excel 2007, you will explore the many data analysis tools available in Excel, such as formula auditing, goal seek, Scenario Manager and subtotals. Additionally, during this course you will use advanced functions, learn how to apply conditional formatting, filter and manage your data lists, create and manipulate PivotTables and PivotCharts and record basic macros. You will also learn to use key advanced financial, logical, text, statistical and math, and lookup functions, audit formulas for errors, analyze data using subtotals, goal seek and the scenario manager, use custom and conditional formatting, manage data with tables, filtering and sorting, create, edit and format PivotTables and PivotCharts, import and export date to and from a workbook, create and use macros. So, by taking this course you will have a complete understanding of the higher functions of Excel. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Microsoft Office 2007 Excel Advanced - Complete Video Course is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Microsoft Office 2007 Excel Advanced - Complete Video Course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Advanced Functions Logical Functions FREE 00:08:00 Math and Statistical Functions 00:06:00 Financial Functions 00:03:00 Displaying and Printing Formulas 00:02:00 Lookups and Data Tables Using Lookup Functions 00:03:00 Using MATCH and INDEX 00:01:00 Creating Data Tables 00:03:00 Advanced List Management Validating Cell Entries 00:01:00 Exploring Database Functions 00:01:00 PivotTables and PivotCharts Working with PivotTables 00:04:00 Rearranging PivotTables 00:02:00 Formatting PivotTables 00:02:00 PivotCharts 00:01:00 Exporting and Importing Exporting and Importing Text Files 00:07:00 Exporting and Importing XML Data 00:02:00 Querying External Databases 00:03:00 Analytical Options Goal Seek and Solver 00:05:00 The Analysis ToolPak 00:01:00 Scenarios 00:02:00 Views 00:01:00 Macros and Custom Functions Running and Recording a Macro 00:02:00 Working with VBA Code 00:01:00 Creating Functions 00:05:00 Conditional Formatting and SmartArt Conditional Formatting with Graphics 00:03:00 SmartArt Graphics 00:02:00 Mock Exam Mock Exam- Microsoft Office 2007 Excel Advanced - Complete Video Course 00:20:00 Final Exam Final Exam- Microsoft Office 2007 Excel Advanced - Complete Video Course 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this

Inspiring, interactive and unique 4-hour CPD certified training on Communication and Co-production with Parents/Carers