74 Courses in London delivered Live Online

Why 3ds max and V-Ray Training Course? This course is ideal for 3D artists and professionals in various industries seeking advanced rendering skills. If you work with 3ds Max and want to master superior photorealistic rendering using V-Ray, this course is tailored for you. V-Ray, a third-party engine compatible with 3ds Max,  Click here for more info: Website Duration: 10 hours. Approach: Personalized 1-on-1 Sessions and Flexible Learning. Scheduling Flexibility: Mon to Sat between 9 am and 7 pm. Choose your own day and time. 10-hour Vray for 3ds Max Training Course Outline: Module 1: Introduction to Vray for 3ds Max (2 hours) What is Vray and its integration with 3ds Max? Installation and setup of Vray for 3ds Max Understanding Vray interface and workflow Overview of Vray materials Module 2: Lighting with Vray (2 hours) Various lighting techniques in Vray Types of Vray lights and their configurations Creating and managing Vray sun and sky Vray dome lighting and IES light usage Efficient lighting workflows in Vray Module 3: Vray Camera (2 hours) Understanding Vray camera settings Controlling exposure with Vray camera Working with Vray depth of field Creating Vray camera animations Utilizing Vray frame buffer Module 4: Vray Materials (2 hours) Understanding Vray material properties Creating realistic materials using Vray Building and storing custom Vray material libraries Implementing Vray material overrides Module 5: Vray Rendering and Post Production (2 hours) Overview of Vray rendering settings Rendering images and animations with Vray Post-production techniques in Photoshop Understanding and utilizing Vray frame buffer Compositing Vray render elements in Photoshop Working with Vray denoiser Modeling Techniques: Edit Poly Modeling Extrude, Chamfer, Cut, and Slices Symmetry Mirror Modeling Designing furniture and basic architectural models Lines, Shapes, and Plan Import from AutoCAD/Vectorworks Modifiers: Compound objects (Connect, Scatter, Pro Boolean, Loft, Terrain) Bend and Taper Basic Lights: Omni Light, Spot Light, Direct Light Camera Control: Free Camera, Target Camera Texturing and Rendering: Diffuse and Bump Mapping Environment and Background Images Advanced Rendering Techniques (Interior and Exterior Scenes) Vray Specifics: VRay Lights (Plane, Dome, Sphere, Sun, Shadow) VRay Camera Settings (Focal Length, Film Speed, Shutter Speed) VRay Materials (Diffuse Color, Reflection, Refraction, Blurry Reflections) Upon completing the 10-hour Vray for 3ds Max Training Course, participants will: Master Vray Integration: Understand setup, interface, and tools for effective usage. Excel in Vray Lighting Techniques: Learn diverse Vray lighting methods, enhancing scene realism. Vray Camera Control: Manipulate camera settings, exposure, and create dynamic animations. Vray Material Skills: Create realistic materials, manage libraries, and override material properties. Perfect Rendering and Post-Production: Optimize rendering, produce high-quality images, and enhance results in post-production. Advanced 3D Modeling Expertise: Develop complex shapes, utilize modifiers, and import plans effectively. Recommended Resources: "V-Ray My Way: A Practical Designer's Guide to Creating Realistic Imagery Using V-Ray & 3ds Max" by Lee Wylde "3ds Max Modeling for Games: Insider's Guide to Game Character, Vehicle, and Environment Modeling" by Andrew Gahan "Photoshop for 3D Artists, Volume 1" by 3DTotal Publishing Job Opportunities: Students can pursue careers as: 3D Visualization Artists: Creating realistic visuals for architecture, products, and entertainment. Game Designers: Developing game environments and assets for interactive experiences. Architectural Visualizers: Producing high-quality architectural renders for firms and clients. Product Designers: Crafting detailed product visualizations for marketing and prototyping. Freelance 3D Artists: Offering services on platforms like Upwork, catering to diverse client needs. Opportunities exist in architecture, gaming, animation, advertising, and freelancing. A strong portfolio and networking enhance job prospects. Skills Acquired: Vray Advanced Lighting: HDRI, Global Illumination Mastery. Vray Material Expertise: Shaders, Textures, Realistic Material Replication. Scene Optimization: Large-scale Scene Handling, Speed Optimization. Post-Production Skills: Vray and Photoshop Enhancement, Atmosphere Addition. Career Opportunities: Architectural Visualization Specialist Product Design Visualizer 3D Visualization Artist Freelance Rendering Expert In-House Rendering Consultant Learn the advanced Vray rendering skills, 1-on-1 training courses, boost your career prospects in architectural visualization, product design, and animation industries.  Download 3ds max. Autodesk Download a free 30 day trial of 3ds Max, 3D modelling and rendering software for design visualisation, games and animation to create with full artistic Download Vray V-Ray for 3ds max is an integral rendering software for SketchUp, enabling designers to experience their designs in real-time. Say Goodbye to Group Courses: Welcome to our Personalized Learning Experience! Why Choose Us? Our Course Benefits Include: ​ One-on-One Training: Experience personalized coaching from practicing architects and designers tailored exclusively for you. 1-on-1, Face to Face at (SW96DE) or Live online. Open: Monday to Saturday 9 am to 7 pm. Customized Tutorials: Take home bespoke video tutorials designed to enhance your learning journey. Comprehensive Resources: Receive a digital reference book for thorough revision, ensuring you grasp every concept. Free Ongoing Support: Enjoy continuous after-course support via phone or email, guaranteeing your success even after the class ends. Flexible Syllabus: We adapt syllabus and projects to match your needs, ensuring you learn precisely what matters most to you. Official Certificate: Certificate upon course completion. Why Us? Supported Individual Learning: Our courses, ranging from 10 hours to 120 hrs Diploma training Courses, offer unwavering support at every step. With personalized homework assignments and free after-course assistance, we pave the way to mastering software with unparalleled guidance. Personalized Attention, Not Crowded Classrooms: Bid farewell to crowded classrooms. Experience the intimacy of one-on-one learning. This ensures you receive the undivided attention you deserve, fostering a confident and comfortable learning environment. Financial Flexibility: Embarking on your educational journey shouldn't be a financial burden. We offer a variety of payment plans tailored to your needs. Discover the options available to you and start your learning adventure today. Expert Instructors, Real-world Insight: Our instructors are experts meticulously chosen for their extensive industry knowledge and passion for teaching. They are dedicated to imparting invaluable skills to anyone eager to learn.

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization including: Business Analysts, Data Analysts, Reporting and BI professionals Analytics professionals and Data Scientists who would like to learn Python Overview This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions. Outcome: After attending this course, delegates will: Be able to write effective Python code Know how to access their data from a variety of sources using Python Know how to identify and fix data quality using Python Know how to manipulate data to create analysis ready data Know how to analyze and visualize data to drive data driven decisioning across your organization Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. From business questions to data analytics, and beyond For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able: to describe and understand the general analytics process. to describe and understand the different types of analytics can be used to derive data driven solutions to business to apply that knowledge to their business context Basic Python Programming Conventions This section will cover the basics of writing R programs. Topics covered will include: What is Python? Using Anaconda Writing Python programs Expressions and objects Functions and arguments Basic Python programming conventions Data Structures in Python This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include: Vectors Arrays and matrices Factors Lists Data frames Loading .csv files into Python Connecting to External Data This section will look at loading data from other sources into Python. Topics covered will include: Loading .csv files into a pandas data frame Connecting to and loading data from a database into a panda data frame Data Manipulation in Python This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include: Filtering data Deriving new fields Aggregating data Joining data sources Connecting to external data sources Descriptive Analytics and Basic Reporting in Python This section will explain how Python can be used to perform basic descriptive. Topics covered will include: Summary statistics Grouped summary statistics Using descriptive analytics to assess data quality Using descriptive analytics to created business report Using descriptive analytics to conduct exploratory analysis Statistical Analysis in Python This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include: Significance tests Correlation Linear regressions Using statistical output to create better business decisions. Data Visualisation in Python This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include: Creating different chart types such as bar charts, box plots, histograms and line plots Formatting charts Best Practices Hints and Tips This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.

You deserve a space to rest and recharge This 3-month supported journey combines live Yoga Nidra meditation sessions, weekly check-ins, and gentle self-care practices designed to nourish your mind, body, and soul. I believe that Yoga Nidra is one of the best meditations for neurodivergent parents. When you're navigating your own unique experiences such as sensory sensitivities, the demands of parenting, and adapting to everyday situations you can end up feeling drained and overwhelmed. Yoga Nidra is a deeply restorative meditation that help you release mental, emotional, and physical stress and tension that you are carrying. It is said that 30 minutes of Yoga Nidra meditation is equivalent to 2-4 hours of sleep! A 3 month programme to reduce overwhelm and increase your energy I believe that Yoga Nidra is one of the best meditations for neurodivergent parents. When you're navigating your own unique experiences such as sensory sensitivities, the demands of parenting, and adapting to everyday situations you can end up feeling drained and overwhelmed. Yoga Nidra is a deeply restorative meditation that help you release mental, emotional, and physical stress and tension that you are carrying. It is said that 30 minutes of Yoga Nidra meditation is equivalent to 2-4 hours of sleep! Yoga Nidra or ‘yogic sleep’ is a form of guided meditation practiced lying down. It is a deeply restorative practice that can help you relax, recharge your energy, and improve your sleep. The practice guides you through specific techniques to help you feel rested and refreshed. Meditation can help with parenting too! Yoga Nidra meditation helps you feel more relaxed and provides a quiet space for you to simply be. That means you can feel more patient, as you won't be carrying as much stress, while going through the ups and downs of parenthood. And create a calmer mental space which will allow you to look after your own needs and continue supporting your whole family. With refreshed energy! That's why I created this Deep Rest programme to help you balance your energy! What's Included? X3 Live Yoga Nidra Sessions 1 monthly online meditation and reflection call via GoogleMeet Audio Meditation: Allowing you to continue with your rest practice between our live sessions Private Telegram Support: Weekly check-ins via messages and/or voice notes Weekly Reflection Prompts: Deepen your experience and track your emotional wellbeing Bonus Lifetime access to my Self-Care Bundle (people usually pay £97 for this): Gentle mindfulness, yoga, and journaling practices that you can return to anytime. This is for you if... You’re a neurodivergent parent or caregiver who feels exhausted by stress and the demands of parenting/caregiving. You’re looking for a for a private meditation experience. You’re ready to explore the transformative practice of Yoga Nidra. This is not for you if: You prefer a group setting. You’re looking for a single session, rather than a sustained, supportive journey of self-care. You’re not able to dedicate time to a deep, personal Yoga Nidra experience paired with ongoing support for lasting impact. Are you ready to increase your energy and create a calmer mind? *Available for wherever you are in the world, except the USA and Canada, due to my insurance.

'Motorcycle Skills - Improve your Riding in Eight Weeks' is an online distance learning e-course which will help motorcyclists improve their riding skills. It's suitable for intermediate and advanced riders.

Course Overview This comprehensive Data Analytics course provides an in-depth exploration of data analysis, covering the essential principles and techniques used to extract valuable insights from data. Learners will engage with core concepts, such as data mining, statistical analysis, and visualisation, enabling them to make informed decisions and drive business outcomes. By the end of the course, participants will have the skills to analyse and interpret data, apply analytical tools effectively, and present their findings clearly. This course equips learners with the necessary tools to understand and leverage data in various professional settings, adding significant value to their career prospects. Course Description The Data Analytics course covers a wide range of topics, including the fundamentals of data analysis, statistical methods, and various data visualisation techniques. Learners will explore essential tools such as Excel and specialised software, while gaining a deep understanding of how to collect, store, and process data effectively. Emphasis is placed on developing the analytical mindset required to interpret data accurately and draw actionable insights. This course is designed to ensure learners can confidently navigate the world of data analytics and apply their knowledge in diverse industries, enhancing their problem-solving and decision-making abilities. Course Modules Module 01: Introduction to the World of Data Module 02: Basics of Data Analytics Module 03: Statistics for Data Analytics Module 04: Actions Taken in the Data Analysis Process Module 05: Gathering the Right Information Module 06: Storing Data Module 07: Data Mining Module 08: Excel for Data Analytics Module 09: Tools for Data Analytics Module 10: Data-Analytic Thinking Module 11: Data Visualisation That Clearly Describes Insights Module 12: Data Visualisation Tools (See full curriculum) Who is this course for? Individuals seeking to enhance their analytical skills for data-driven decision-making. Professionals aiming to transition into data analytics or enhance their data-related roles. Beginners with an interest in understanding data and its applications across industries. Business professionals seeking to leverage data for strategic growth. Career Path Data Analyst Business Intelligence Analyst Data Scientist Market Research Analyst Operations Analyst Financial Analyst Business Analyst Data Visualisation Specialist

Create Animations Using Flourish Studio Course Overview "Create Animations Using Flourish Studio" is designed to teach learners how to create dynamic, engaging animations using Flourish Studio, a powerful visualisation tool. This course covers everything from understanding the interface to building complex, interactive visualisations that can bring data to life. Through step-by-step instructions, learners will develop the skills necessary to enhance presentations, reports, and projects with professional-quality animations. By the end of the course, participants will be able to confidently use Flourish Studio to create visually compelling animations that are tailored to their specific data and narrative needs. This course is suitable for those looking to boost their visual communication skills and make an impact in data presentation. Course Description This course delves into the various capabilities of Flourish Studio, focusing on both its basic and advanced features. Learners will start by exploring the interface and learning how to work with different templates. The course then covers key areas such as importing and managing data, creating animations, and customising visualisations from scratch. In addition to mastering specific templates, participants will also learn how to craft a compelling data story and explore Flourish's other unique features. By the end of the course, learners will have the knowledge and skills to create engaging animations that effectively communicate data insights. Resources and tips for continued development will also be provided, ensuring that learners can keep building on their newfound expertise. Create Animations Using Flourish Studio Curriculum Module 01: Introduction to Flourish Studio Module 02: Getting Started with Flourish Module 03: Adding and Managing Data in Flourish Templates Module 04: Creating Visualisations in Flourish Studio from Scratch Module 05: More Visualisation Templates in Flourish Studio Module 06: Creating a Story and Other Options Module 07: Other Exciting and Important Features Module 08: Data Visualisation Tips & Resources Module 09: Congratulations (See full curriculum) Who is this course for? Individuals seeking to enhance their data presentation skills. Professionals aiming to improve their visual communication abilities. Beginners with an interest in data visualisation or animation. Anyone involved in creating impactful presentations or reports. Career Path Data Visualisation Specialist Marketing Analyst Data Storyteller Presentation Designer Business Intelligence Analyst Marketing Manager Data Analyst

SQL for Data Science, Data Analytics and Data Visualization Course Overview: This course offers a comprehensive introduction to SQL, designed for those looking to enhance their skills in data science, data analytics, and data visualisation. Learners will develop the ability to work with SQL databases, efficiently query and manage data, and apply these techniques for data analysis in both SQL Server and Azure Data Studio. By mastering SQL statements, aggregation, filtering, and advanced commands, learners will be equipped with the technical skills required to manage large datasets and extract meaningful insights. The course provides a solid foundation in data structures, user management, and working with multiple tables, culminating in the ability to perform complex data analysis and visualisation tasks. Course Description: This course covers a broad range of topics essential for anyone working with data in a professional capacity. From setting up SQL servers to mastering database management tools like SQL Server Management Studio (SSMS) and SQL Azure Data Studio, the course provides a thorough grounding in SQL. Learners will gain expertise in data structure statements, filtering data, and applying aggregate functions, as well as building complex SQL queries for data analysis. The course also includes instruction on SQL user management, group by statements, and JOINs for multi-table analysis. Key topics such as SQL constraints, views, stored procedures, and database backup and restore are also explored. The course incorporates SQL visualisation tools in Azure Data Studio, empowering learners to visualise data effectively. By the end of the course, learners will be proficient in SQL queries, data manipulation, and using Azure for data analysis. SQL for Data Science, Data Analytics and Data Visualization Curriculum: Module 01: Getting Started Module 02: SQL Server Setting Up Module 03: SQL Azure Data Studio Module 04: SQL Database Basic SSMS Module 05: SQL Statements for DATA Module 06: SQL Data Structure Statements Module 07: SQL User Management Module 08: SQL Statement Basic Module 09: Filtering Data Rows Module 10: Aggregate Functions Module 11: SQL Query Statements Module 12: SQL Group By Statement Module 13: JOINS for Multiple Table Data Analysis Module 14: SQL Constraints Module 15: Views Module 16: Advanced SQL Commands Module 17: SQL Stored Procedures Module 18: Azure Data Studio Visualisation Module 19: Azure Studio SQL for Data Analysis Module 20: Import & Export Data Module 21: Backup and Restore Database (See full curriculum) Who is this course for? Individuals seeking to enhance their data management and analysis skills. Professionals aiming to progress in data science, data analytics, or database administration. Beginners with an interest in data analysis and SQL databases. Anyone looking to gain expertise in SQL for Azure and SQL Server environments. Career Path: Data Analyst Data Scientist Database Administrator SQL Developer Business Intelligence Analyst Data Visualisation Specialist

Course Overview This "Microsoft Power BI - Master Power BI in 90 Minutes!" course offers a concise yet comprehensive introduction to Power BI, empowering learners to quickly create and manage data dashboards. The course is designed for both newcomers and those looking to enhance their skills, covering essential topics to help users understand and utilise Power BI for data analysis and reporting. Upon completion, learners will gain the ability to design dynamic dashboards, manipulate data, and visualise trends, providing valuable insights for decision-making in various business environments. Course Description This course takes learners through Power BI’s core functionalities, starting with an introduction to the platform before advancing to building basic and sophisticated dashboards. Learners will explore key aspects such as data import, filtering, and the creation of interactive visuals. By working with live data, participants will develop an understanding of how to generate real-time reports, enhancing their ability to analyse data and derive insights. The course offers both beginner and advanced concepts, ensuring that all participants can apply what they’ve learned to real-world data scenarios. Upon completing the course, learners will feel confident in their ability to utilise Power BI to its full potential in any business context. Course Modules Module 01: Power BI - Introduction Module 02: Your First Power BI Dashboard Module 03: Your Advanced Power BI Dashboard with Real Live Data Module 04: Course Bonuses (See full curriculum) Who is this course for? Individuals seeking to enhance their data analysis skills. Professionals aiming to improve data visualisation and reporting capabilities. Beginners with an interest in business intelligence or data management. Anyone looking to gain insights into data-driven decision-making. Career Path Business Intelligence Analyst Data Analyst Data Visualisation Specialist Marketing Data Analyst Financial Analyst

Introduction to Coding With HTML, CSS, & Javascript Course Overview "Introduction to Coding With HTML, CSS, & JavaScript" is a comprehensive course designed to equip learners with the foundational knowledge of web development. The course covers the essential programming languages – HTML, CSS, and JavaScript – focusing on creating interactive and responsive websites. Learners will gain proficiency in designing websites from scratch, using HTML for structure, CSS for styling, and JavaScript for adding dynamic features. By the end of the course, learners will have a well-rounded understanding of how to create websites that are functional, visually appealing, and user-friendly, preparing them for real-world web development tasks. Course Description This course takes learners through a structured journey in web development, starting with the basics and gradually advancing to more complex topics. The modules cover HTML from beginner to expert levels, CSS fundamentals to advanced styling techniques, and an in-depth exploration of JavaScript. The course includes practical projects that reinforce key concepts, such as building a website using HTML and CSS and incorporating JavaScript to enhance interactivity. Learners will also explore essential programming topics like functions, conditional statements, data visualisation, and client-side validation. By completing this course, learners will develop a solid foundation in web development, enabling them to create fully functional websites. Introduction to Coding With HTML, CSS, & Javascript Curriculum Module 01: Getting Started Module 02: Setting up Development Environment Module 03: HTML Fundamentals Module 04: HTML Intermediate Module 05: HTML Advanced Module 06: HTML Expert Module 07: HTML Website Project Module 08: CSS Fundamentals Module 09: CSS Intermediate Module 10: CSS Advanced Module 11: CSS Expert Module 12: CSS Website Project Module 13: JavaScript Getting Started Module 14: JavaScript Fundamentals Module 15: Strings Module 16: Operators Module 17: Conditional Statements Module 18: Control Flow Statements Module 19: Functions Module 20: Data Visualisation (Google Charts) Module 21: Error Handling Module 22: Client-side Validations Module 23: Publish Your Website for Live (See full curriculum) Who is this course for? Individuals seeking to build a career in web development. Professionals aiming to expand their technical skills in web programming. Beginners with an interest in learning web development. Anyone looking to design and develop their own websites. Career Path Front-end Developer Web Developer UI/UX Designer Web Development Specialist Digital Marketing Specialist Freelance Web Developer Web Designer

Excel Data Analysis Course Overview The Excel Data Analysis course is designed to equip learners with the essential skills needed to analyse and interpret data using Microsoft Excel. This course covers a range of tools and techniques that are vital for processing, summarising, and visualising data. Learners will explore functions, pivot tables, charts, and data manipulation strategies that will enable them to work efficiently with data sets. By the end of the course, learners will be able to transform raw data into meaningful insights, making it an invaluable skill for professionals across various industries. Whether you're looking to improve your data skills or progress in your career, this course offers the foundational knowledge required for data analysis in Excel. Course Description This course delves into the core aspects of Excel Data Analysis, starting with basic functions and advancing to complex data manipulation techniques. Learners will explore how to create and manage pivot tables, perform data filtering, and apply functions such as VLOOKUP and INDEX MATCH. Visualisation tools like charts and graphs will be covered, enabling learners to present their findings in a clear and impactful way. Additionally, learners will be introduced to data modelling, conditional formatting, and advanced formula techniques that will enhance their data analysis capabilities. The course is structured to provide a comprehensive understanding of Excel’s data analysis features, building competency for a wide range of practical applications in both personal and professional settings. Excel Data Analysis Curriculum Module 01: Introduction to Excel for Data Analysis Module 02: Using Excel Functions for Data Manipulation Module 03: Working with Pivot Tables and Pivot Charts Module 04: Data Visualisation: Creating Charts and Graphs Module 05: Advanced Excel Functions for Complex Data Analysis Module 06: Data Filtering and Sorting Techniques Module 07: Conditional Formatting for Data Insights Module 08: Introduction to Data Modelling and Forecasting Module 09: Data Analysis Best Practices and Case Studies (See full curriculum) Who is this course for? Individuals seeking to enhance their data analysis skills. Professionals aiming to advance in data-centric roles. Beginners with an interest in data analysis and Excel. Anyone looking to improve their Excel knowledge for career development. Career Path Data Analyst Business Analyst Financial Analyst Marketing Analyst Operations Manager Administrative Assistant Project Manager Research and Development Analyst