10938 Courses delivered Online

Getting Started The Level 7 Diploma in Data Science empowers learners to formulate research hypotheses, effectively organize, analyze, and visualize data, unveiling innovative solutions that can challenge conventional business assumptions. It aims to support organizations and their managers in critical decision-making by applying various data science techniques and models. The Qualifi Level 7 Diploma in Data Science offers learners the opportunity to: Obtain a globally recognized qualification from a prestigious awarding organization. Access an up-to-date curriculum aligned with the latest developments in the contemporary business landscape. Acquire new skills and knowledge directly applicable to data science and analytics. Benefit from assessments that are evaluated and moderated by respected academic and industry professionals with hands-on experience in data science and analytics. Progress along a pathway toward pursuing a Master's degree or higher qualifications. Key Benefits Attain comprehensive mathematical and statistical expertise for advanced data analysis. Master programming in R, Python, and SQL for proficient data analysis. Develop strong data management skills, including data evaluation, structuring, and cleaning. Learn effective data visualization techniques and tools. Gain a deep understanding of classical data analytics, covering statistical inference, predictive modelling, time series analysis, and data reduction. Apply common machine learning techniques to solve business and other real-world problems. Grasp essential concepts from contemporary business themes. Apply data science and analytics effectively within business and organizational contexts. Key Highlights 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 QUALIFI-approved 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 Progress along a pathway to gain a Master's degree or beyond. 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 Possess a minimum of a Level 6 qualification in a related sector. Hold a Bachelor's degree. Demonstrate at least three years of relevant work experience showcasing current and pertinent industry knowledge. Individuals with substantial practical experience but lacking formal qualifications may also be considered in exceptional cases. Their eligibility will be determined through an interview process, where they must demonstrate their capacity to meet the program's demands Progression Upon completing the QUALIFI Level 7 Diploma in Data Science, learners have several promising progression pathways: QUALIFI Level 7 and/or 8 Diploma: Graduates can advance their education and expertise by enrolling in a QUALIFI Level 7 and/or Level 8 Diploma, which offers higher-level qualifications in their chosen field. Direct Employment in an Associated Profession: Learners can enter the workforce directly, securing employment in professions related to data science, analytics, and other relevant areas, applying their newly acquired skills and knowledge. Pursue a Master's Degree Dissertation: Graduates also have the option to undertake an appropriate dissertation-only program for a Master's Degree at one of QUALIFI's university partnerships. This pathway allows them to specialize further and advance their academic qualifications. 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. To know about the Qualification Structure, please get in touch with us at: admission@sbusinesslondon.ac.uk 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 3 Days 18 CPD hours This course is intended for This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. Launch into the Universe of Natural Language Processing The journey begins: Unravel the layers of NLP Navigating through the history of NLP Merging paths: Text Analytics and NLP Decoding language: Word Sense Disambiguation and Sentence Boundary Detection First steps towards an NLP Project Unleashing the Power of Feature Extraction Dive into the vast ocean of Data Types Purification process: Cleaning Text Data Excavating knowledge: Extracting features from Texts Drawing connections: Finding Text Similarity through Feature Extraction Engineer Your Text Classifier The new era of Machine Learning and Supervised Learning Architecting a Text Classifier Constructing efficient workflows: Building Pipelines for NLP Projects Ensuring continuity: Saving and Loading Models Master the Art of Web Scraping and API Usage Stepping into the digital world: Introduction to Web Scraping and APIs The great heist: Collecting Data by Scraping Web Pages Navigating through the maze of Semi-Structured Data Unearth Hidden Themes with Topic Modeling Embark on the path of Topic Discovery Decoding algorithms: Understanding Topic-Modeling Algorithms Dialing the right numbers: Key Input Parameters for LSA Topic Modeling Tackling complexity with Hierarchical Dirichlet Process (HDP) Delving Deep into Vector Representations The Geometry of Language: Introduction to Vectors in NLP Text Manipulation: Generation and Summarization Playing the creator: Generating Text with Markov Chains Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank Peering into the future: Recent Developments in Text Generation and Summarization Solving real-world problems: Addressing Challenges in Extractive Summarization Riding the Wave of Sentiment Analysis Unveiling emotions: Introduction to Sentiment Analysis Tools Demystifying the Textblob library Preparing the canvas: Understanding Data for Sentiment Analysis Training your own emotion detectors: Building Sentiment Models Optional: Capstone Project Apply the skills learned throughout the course. Define the problem and gather the data. Conduct exploratory data analysis for text data. Carry out preprocessing and feature extraction. Select and train a model. ? Evaluate the model and interpret the results. Bonus Chapter: Generative AI and NLP Introduction to Generative AI and its role in NLP. Overview of Generative Pretrained Transformer (GPT) models. Using GPT models for text generation and completion. Applying GPT models for improving autocomplete features. Use cases of GPT in question answering systems and chatbots. Bonus Chapter: Advanced Applications of NLP with GPT Fine-tuning GPT models for specific NLP tasks. Using GPT for sentiment analysis and text classification. Role of GPT in Named Entity Recognition (NER). Application of GPT in developing advanced chatbots. Ethics and limitations of GPT and generative AI technologies.

Strategies for Differentiation and Effective Classroom Management (30 Hours)

Tips and Tricks for Teaching Listening and Reading Skills (25 Hours)

Course Overview Microsoft Excel has brought a revolutionary change in the field of data management. It is one of the key skills that every employer looks for in a potential employee. The 50 MS Excel Tips to Upgrade your Excel Skill to the Next Level course is designed to equip you with adequate expertise in Excel. This course is a golden opportunity to add a highly beneficial skill to your resume and impress your employers. In this 50 MS Excel Tips to Upgrade your Excel Skill to the Next Level course, you will receive a wide range of valuable tips to elevate your MS Excel skills. The course will show you the process of adding a link in the formula bar and adding multiple columns and rows within a blink. You will become skilled in quick calculations in the status bar. From the informative modules, you will identify the shortcut keys and learn to navigate between worksheets. The lessons will introduce you to the method of ZIP code format. You will understand how to move cell directions and convert numbers to text.  This 50 MS Excel Tips to Upgrade your Excel Skill to the Next Level course is packed with valuable information about MS Excel. So enroll in the course and become a proficient MS Excel user. Learning Outcomes Learn how to navigate between worksheets using shortcut keys Understand the process of creating a custom autofill list and importing data from webpages Build the skills to hide workbook elements Enrich your understanding of advanced transpose Grasp the techniques of moving cell directions and deleting data Know how to convert text to numbers Who is this course for? This 50 MS Excel Tips to Upgrade your Excel Skill to the Next Level course is for those who want to improve their Excel skills. Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path  The 50 MS Excel Tips to Upgrade your Excel Skill to next Level course is a useful qualification to possess and would be beneficial for any related profession or industry such as: Administrative Assistant Data Analyst Accountants Financial Analyst Retail Store Manager Project Manager Business Analyst Unit 01: Introduction Welcome 00:02:00 Unit 02: Excel Productivity Tips -Part 1 Camera Tool 00:05:00 Add Line Break in Formula Bar 00:03:00 Advanced Copy-Paste using Office Clipboard 00:03:00 Navigation between Worksheets using Shortcut Keys 00:01:00 Flash Fill 00:02:00 Add Multiple Rows and Columns Quickly 00:02:00 Delete Blank Rows 00:03:00 Multi Level Row and Column Sorting 00:04:00 Add Sparklines 00:03:00 Paste Special - Transpose 00:03:00 Unit 03: Excel Productivity Tips - Part 2 Snap to Grid 00:03:00 Create Custom Auto fill List 00:06:00 Absolute Cell Reference 00:03:00 Import Data from Web page 00:04:00 Move Cell Direction 00:03:00 Delete Data using Mouse 00:02:00 Status Bar Quick Calculations 00:03:00 Link Text Boxes to Cell 00:04:00 Phone Number and ZIP Code Format 00:04:00 Speaking Cell 00:05:00 Unit 04: Excel Productivity Tips - Part 3 Invisible Text 00:03:00 Worksheet Grouping 00:04:00 Advanced Transpose 00:04:00 XLStart Folder 00:03:00 Use Slicers 00:05:00 Convert Text to Numbers 00:03:00 Hiding Workbook Elements 00:02:00 Useful Shortcut Keys 00:03:00 Sort data from Left to Right 00:03:00 Advanced Filter (Complex) 00:11:00 Unit 05: Excel Productivity Tips - Part 4 Email as PDF 00:02:00 Synchronous Scrolling 00:03:00 Quick Analysis of data within Excel 00:02:00 Fill blank cells with Value 00:03:00 Hidden Chart Source Data 00:03:00 Two more Shortcuts 00:03:00 Add Blank Rows 00:03:00 Custom views in Excel 00:06:00 EMBED Feature 00:04:00 Adding Country code in Mobile Numbers 00:04:00 Unit 05: Excel Productivity Tips - Part 5 Plot an Average Line to a Chart 00:04:00 3D Referencing 00:04:00 Extract Unique Values 00:03:00 Excel Array Formula 00:04:00 Forecast Sheet 00:04:00 Add Spin Controls in Excel 00:05:00 Move Data using Mouse 00:01:00 Add new entry in Auto Correct to use across Office Applications 00:05:00 Find Differences between Two Lists 00:02:00 Find formulas Quickly 00:02:00 Unit: 06 Wrap Up Thank You 00:01:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Design meetings that get people participating

Language Proficiency Assessment and Action Plan (One Hour – One-to-One Class)

Overview This comprehensive course on Programming AutoCAD to Excel using VB.NET will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Programming AutoCAD to Excel using VB.NET 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? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Programming AutoCAD to Excel using VB.NET. It is available to all students, of all academic backgrounds. Requirements Our Programming AutoCAD to Excel using VB.NET 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 7 sections • 102 lectures • 09:34:00 total length •Introduction: 00:04:00 •Who is this course for?: 00:02:00 •What will you learn from this course?: 00:05:00 •Tools needed: 00:01:00 •Course Prerequisites: 00:04:00 •Section Overview - Export AutoCAD Objects to Excel: 00:02:00 •Exporting Lines to Excel - Overview: 00:02:00 •Creating the VB.NET-Excel Project: 00:06:00 •Design of User Interface to Export Lines: 00:10:00 •Creating the Common Utility Class: 00:19:00 •Creating the ExportLines Method: 00:12:00 •Running and Testing ExportLines Method: 00:06:00 •Exporting MTexts to Excel - Overview: 00:02:00 •Creating the ExportMTexts Method: 00:11:00 •Export Polylines to Excel - Overview: 00:01:00 •Creating the ExportPolylines Method: 00:12:00 •Running and Testing ExportPoylines Method: 00:12:00 •Export Blocks (Without Attributes) to Excel - Overview: 00:01:00 •Creating the ExportBlocks Method: 00:12:00 •Creating Export Blocks UI and Running the Code: 00:06:00 •Exporting Blocks (With Attributes) to Excel - Overview: 00:02:00 •Creating the User Interface for exporting Blocks to Excel: 00:05:00 •Creation of BlocksForm UI: 00:04:00 •Coding the BlocksForm Load Event: 00:08:00 •Testing the BlocksForm UI: 00:03:00 •Coding the BlocksForm to populate the Listboxes: 00:15:00 •Coding the BlocksForm Export Button: 00:04:00 •Coding the ExportBlocksWithAttributes Method: 00:21:00 •Running and Testing ExportBlocksWithAttributes Method: 00:02:00 •Section Overview - Import Excel File into AutoCAD: 00:01:00 •Importing Lines from Excel File into AutoCAD - Overview: 00:01:00 •Creating ImportExcelUtil Class: 00:02:00 •Creating the ImportLines Method: 00:19:00 •Creating the UI for the ImportLines Method: 00:02:00 •Coding the ImportLines UI code behind.: 00:07:00 •Running and Testing ImportLines Method: 00:08:00 •Importing MTexts into AutoCAD - Overview: 00:01:00 •Creating the ImportMTexts Method: 00:11:00 •Creating ImportMTexts User Interface: 00:02:00 •Running and Testing ImportMTexts Method: 00:02:00 •Importing Polylines from Excel File into AutoCAD - Overview: 00:01:00 •Creating the ImportPolylines Method: 00:14:00 •Creating ImportPolylines User Interface: 00:02:00 •Running and Testing ImportPolylines Method: 00:03:00 •Running and Testing ImportPolylines (from a File) Method: 00:02:00 •Importing Blocks (without Attributes) from Excel File into AutoCAD - Overview: 00:01:00 •Creating the ImportBlocks Method: 00:09:00 •Creating the ImportBlocks User Interface: 00:02:00 •Running and Testing ImportBlocks Method: 00:03:00 •Importing Blocks (with Attirubtes) from Excel File into AutoCAD - Overview: 00:02:00 •Creating the ImportBlocksWithAttributes Method: 00:25:00 •Creating the UI for ImportBlocksWithAttributes Method: 00:04:00 •Running and Testing ImportBlocksWithAttributes Method: 00:03:00 •Exporting Lines to a File - Overview: 00:02:00 •Creating the ExportToFile Utility Class: 00:04:00 •Creating ExportLinesToFile Method: 00:14:00 •Creating the UI for ExportLinesToFile Method: 00:08:00 •Running and Testing ExportLinesToFile Method: 00:02:00 •Exporting MTexts to File - Overview: 00:01:00 •Creating the MTextToFile Method: 00:06:00 •Creating the UI for the ExportMTextToFile Method: 00:01:00 •Running and Testing ExportMTextToFile Method.: 00:08:00 •Exporting Polylines to File - Overview: 00:02:00 •Creating ExportPolylinesToFile Method: 00:11:00 •Exporting Polylines to File - User Interface: 00:01:00 •Running and Testing ExportPolylinesToFile Method: 00:02:00 •Exporting Blocks (without Attributes) to File - Overview: 00:02:00 •Creating the ExportBlocksToFile Method: 00:10:00 •Creating ExportBlocksToFile User Interface: 00:02:00 •Running and Testing ExportBlocksToFile Method: 00:02:00 •Exporting Blocks (With Attributes) to a File - Overview: 00:02:00 •Creating the EXportBlocksWithAttributesToFile Method: 00:19:00 •Creating the UI for ExportBlocksWithAttributesToFile Method: 00:06:00 •Coding the BlocksForm for ExportBlocksWithAttributeToFile Method: 00:04:00 •Running and Testing ExportBlocksWithAttributesToFile Method: 00:03:00 •Importing Text File into AutoCAD - Overview: 00:01:00 •Importing Lines from a Text File into AutoCAD - Overview: 00:02:00 •Creating the ImportFileUtil Class: 00:01:00 •Creating the ImportLinesMethod: 00:17:00 •Creation of ImportLines User Interface: 00:03:00 •Coding the ImportLines UI button: 00:05:00 •Running and Testing the ImportLines Method: 00:04:00 •Importing MTexts from Text File into AutoCAD - Overview: 00:02:00 •Creating the ImportMTexts Method: 00:09:00 •Creating the TextStyle Manipulation Code: 00:02:00 •Creating the UI for the ImportMTexts Method: 00:01:00 •Running and Testing the ImportMTexts Method: 00:04:00 •Importing Polylines from a Text File into AutoCAD - Overview: 00:02:00 •Creating the ImportPolylines Method: 00:18:00 •Creating the ImportPolylines UI: 00:02:00 •Running and Testing ImportPolylines (from a File) Method: 00:02:00 •Importing BLocks (without Attributes) from a Text File into AutoCAD - Overview: 00:02:00 •Creating the ImportBlocks (without Attributes) Method: 00:15:00 •Creating the ImportBlocks UI: 00:05:00 •Running and Testing ImportBlocks (without Attributes) Method: 00:04:00 •Importing Blocks (with Attributes) from a Text File into AutoCAD - Overview: 00:02:00 •Creating the ImportBlocksWithAttributes from a File Method: 00:24:00 •Creating the ImportBlocksWithAttributes (from a File) UI (Part 1): 00:06:00 •Creating the ImportBlocksWithAttributes (from a File) UI (Part 2): 00:04:00 •Running and Testing ImportBlocksWithAttributes (from a File) Method: 00:03:00 •Conclusion: 00:01:00 •Assignment - Programming AutoCAD to Excel using VB.NET: 00:00:00

Who is this course for? The Diploma in Visual Effects for Film and Television Animation is tailored for individuals aspiring to work in the Visual Effects, TV, Film, and 3D animation industry. Gain essential skills necessary for a successful career in these fields. Click here for more info: Website Duration: 120 hours of 1-on-1 Training. When can I book: 9 am - 4 pm (Choose your preferred day and time once a week). Monday to Saturday: 9 am - 7 pm (Flexible timing with advance booking).  Course Overview for a 120-Hour Diploma Program in Game Design and Development Term 1: Introduction to Game Design and 3D Modeling (40 hours) Module 1: Introduction to Game Design (1 hour) Understanding the game development industry and current trends Exploring game mechanics and fundamental design principles Introduction to the game engines and tools utilized in the program Module 2: 3D Modeling with 3ds Max (25 hours) Familiarization with 3ds Max and its user interface Mastering basic modeling techniques like box modeling and extrusion Advanced modeling skills including subdivision and topology Texturing and shading techniques tailored for game development Module 3: Character Design and Animation (10 hours) Introduction to character design and its developmental process Creating and rigging characters specifically for games Keyframe animation techniques for character movement Term 2: Game Development and Unity 3D (40 hours) Module 4: Unity 3D Basics (20 hours) Navigating Unity 3D and understanding its interface Grasping fundamental game development concepts within Unity Creating game objects, writing scripts, and designing scenes Introduction to scripting using C# Module 5: Advanced Game Development with Unity 3D (10 hours) Constructing game mechanics including UI, scoring, and game states Working with physics and collision systems in Unity Crafting intricate game environments and level designs Module 6: Game Assets with Photoshop (10 hours) Exploring Photoshop tools and features for game asset creation Crafting game elements such as textures, sprites, and icons Optimizing assets for seamless integration into game development Term 3: Advanced Game Design and Portfolio Development (40 hours) Module 7: Advanced Game Design (20 hours) Delving into advanced game design concepts like balancing and difficulty curves Understanding player psychology and methods for engaging audiences Implementing game analytics and user testing for refinement Module 8: Portfolio Development (24 hours) Building a comprehensive portfolio showcasing acquired skills Effective presentation techniques for showcasing work Establishing a professional online presence and networking strategies Final Project: Creating and presenting a collection of best works in collaboration with tutors and fellow students Please note: Any missed sessions or absence without a 48-hour notice will result in session loss and a full class fee charge due to the personalized one-to-one nature of the sessions. Students can request pauses or extended breaks by providing written notice via email. What can you do after this course: Software Proficiency: Master industry-standard design tools for architectural and interior projects. Design Expertise: Develop a deep understanding of design principles and spatial concepts. Visualization Skills: Acquire advanced 2D/3D rendering and virtual reality skills for realistic design representation. Communication and Collaboration: Enhance communication skills and learn to collaborate effectively in design teams. Problem-Solving: Develop creative problem-solving abilities for real-world design challenges. Jobs and Career Opportunities: Architectural Visualizer Interior Designer CAD Technician Virtual Reality Developer 3D Modeler Project Coordinator Freelance Designer Visualization Consultant Students can pursue these roles, applying their expertise in architectural and interior design across various professional opportunities. Course Expectations: Maintain a dedicated notebook to compile your study notes. Schedule makeup sessions for any missed coursework, subject to available time slots. Keep meticulous notes and maintain a design folder to track your progress and nurture creative ideas. Allocate specific time for independent practice and project work. Attain certification from the esteemed professional design team. Post-Course Proficiencies: Upon successful course completion, you will achieve the following: Develop confidence in your software proficiency and a solid grasp of underlying principles. Demonstrate the ability to produce top-tier visuals for architectural and interior design projects. Feel well-prepared to pursue positions, armed with the assurance of your software expertise. Continued Support: We are pleased to offer lifetime, complimentary email and phone support to promptly assist you with any inquiries or challenges that may arise. Software Accessibility: Access to the required software is available through either downloading it from the developer's website or acquiring it at favorable student rates. It is important to note that student software should be exclusively utilized for non-commercial projects. Payment Options: To accommodate your preferences, we provide a range of payment options, including internet bank transfers, credit cards, debit cards, and PayPal. Moreover, we offer installment plans tailored to the needs of our students. Course Type: Certification. Course Level: Basic to Advanced. Time: 09:00 or 4 pm (You can choose your own day and time once a week) (Monday to Friday, 09 am to 7 pm, you can choose anytime by advance booking. Weekends can only be 3 to 4 hrs due to heavy demand on those days). Tutor: Industry Experts. Total Hours: 120 Price for Companies: £3500.00 (With VAT = £4200) For Companies. Price for Students: £3000.00 (With VAT = £3600) For Students.

Course Objectives At the end of this course you will be able to: Work with advanced lookup and reference functions Create macros to automate common tasks Use advanced techniques to analyse data Create PivotTables and PivotCharts Work with data validation tools Import and export data ' Customer Feedback Best Training Ever! Just finished a bespoke 1-1 training course in Excel Advanced, Macros & VBA. Pedro is an excellent trainer, imparting his skills and knowledge in the best way - appropriately to audience skills, knowledge and ability. Pedro is always approachable, encouraging and supportive, giving delegates the optimum learning environment. I would not hesitate to recommend Pedro as a trainer, whatever your level of ability. Amanda Morris - Treasury & Systems Accountant at Reall - Real Equity for All The course was very interesting and engaging and will definitely be put to use. The trainer was very helpful and charismatic. Marving Lopez - AM Best Europe Pedro was excellent. Very knowledgeable, clear and great rapport with class. Darren Barkey - Direct Wines Great content and learnt a lot. Really enjoyable :) Kristie-Lee Ryan - Stirling Ackroyd 1 year email support service Take a closer look at the consistent excellent feedback visiting our site ms-officetraining co uk 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 classrom, one to one, tailored and bespoke courses. Tailored In Company training: 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. Please visit our site (ms-officetraining co uk) to get a feel of the excellent feedback our courses have had and look at other courses you might be interested in. Advanced Functions COUNT, COUNTA, COUNTIF, COUNTBLANK, SUMIF, SUBTOTAL IF, OR, AND, IFERROR VLOOKUP to lookup Exact Values and Approximate values MATCH, INDIRECT, ROW/COLUMN, INDEX, OFFSET Analysing Data PMT function to calculate a monthly payment of a loan What If Analysis using Goal Seek Use scenarios to consider many different variables Using Solver Add-in to optimize variables PivotTables Create a PivotTable to analyse worksheet data Add or remove fields in a PivotTable Change the data source for a PivotTable Working with external data sources Using different Statistical Functions Calculate a Running Total, % of Grant Total, Difference From… Using the Slicer and Timeline to filter the PivotTable Using Filters in a PivotTable Group by Date, Auto Group by ranges of values, Custom Group Create a PivotChart The GETPIVOTDATA function Formula auditing Precedents and dependents Error checking Watch a formula and its result by using the Watch Window Evaluate a nested formula one step at a time Data Validation Number Validation Data List Validation Message Prompts and Alerts Conditional Data Validation Data Validation Errors Consolidation Consolidate data by position Consolidate data by category Use a formula to consolidate data Outline (group) data in a worksheet Create an outline of rows Create an outline of columns Copy outlined data Hide or remove an outline Connect external data to your workbook Using the Power Query Editor to import data From Text and CSV, From Access, From Web, From another Workbook Using the Power Query Editor to; Transform your data by Selecting which fields to import, by Splitting Columns, Changing Data Type and more. Deleting Applied Steps Refreshing your data Working with Form Controls; Buttons, Option Buttons and Scroll Bars Introduction to Macros Change Macro Security settings How to Record a macro Some Macro Examples Delete a macro Edit the macro to view the VBA code Copy part of a macro to create another macro Assign a macro to a button Who is this course for? Who is this course for? This course is intended to end users who want to develop their skills so they can use advanced techniques to analyse extensive and complex datasets in Excel and to automate simple tasks with the use of Macros. Requirements Requirements Preferably, delegates should have attended the Excel Intermediate course. Career path Career path Excel 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 Certificates Certificates Certificate of completion Digital certificate - Included