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851 Simulation courses

Conflict Management 1 Day Training in Wokingham

By Mangates

Conflict Management 1 Day Training in Wokingham

Conflict Management 1 Day Training in Wokingham
Delivered In-Person + more
£595 to £795

Conflict Management 1 Day Training in London

By Mangates

Conflict Management 1 Day Training in London

Conflict Management 1 Day Training in London
Delivered In-Person + more
£595 to £795

Conflict Management 1 Day Training in Leicester

By Mangates

Conflict Management 1 Day Training in Leicester

Conflict Management 1 Day Training in Leicester
Delivered In-Person + more
£595 to £795

Conflict Management 1 Day Training in Inverness

By Mangates

Conflict Management 1 Day Training in Inverness

Conflict Management 1 Day Training in Inverness
Delivered In-Person + more
£595 to £795

Conflict Management 1 Day Training in Harrogate

By Mangates

Conflict Management 1 Day Training in Harrogate

Conflict Management 1 Day Training in Harrogate
Delivered In-Person + more
£595 to £795

Conflict Management 1 Day Training in Edinburgh

By Mangates

Conflict Management 1 Day Training in Edinburgh

Conflict Management 1 Day Training in Edinburgh
Delivered In-Person + more
£595 to £795

Conflict Management 1 Day Training in Corby

By Mangates

Conflict Management 1 Day Training in Corby

Conflict Management 1 Day Training in Corby
Delivered In-Person + more
£595 to £795

Conflict Management 1 Day Training in Chichester

By Mangates

Conflict Management 1 Day Training in Chichester

Conflict Management 1 Day Training in Chichester
Delivered In-Person + more
£595 to £795

Introduction to R Programming

By Nexus Human

Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently

Introduction to R Programming
Delivered OnlineFlexible Dates
Price on Enquiry

3D Humanoid Characters in Unity

4.7(160)

By Janets

Description Register on the 3D Humanoid Characters in Unity today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a certificate as proof of your course completion. The 3D Humanoid Characters in Unity course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablets, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With This Course Receive a digital certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment You need to attend an assessment right after the completion of this course to evaluate your progression. For passing the assessment, you need to score at least 60%. After submitting your assessment, you will get feedback from our experts immediately. Who Is This Course For The course is ideal for those who already work in this sector or are aspiring professionals. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.   Course Content Module 01: Introduction Welcome 00:01:00 Module 02: Creating and Rigging Characters Using Autodesk's Character Generator 00:09:00 Creating characters with Adobe Fuse 00:08:00 Auto-rigging with Adobe Mixamo 00:03:00 Applying animation to rigged characters in Mixamo 00:03:00 Importing an Autodesk character into Adobe Mixamo 00:02:00 Selecting and animating a fantasy character within Mixamo 00:04:00 Exploring commercial rigged and animated characters 00:03:00 Module 03: Setting the Scene Using Unity Hub to install the Unity Editor 00:06:00 Configuring Unity's user interface 00:04:00 Importing and setting up an architectural model 00:07:00 Importing selected standard assets 00:05:00 Rendering lightmap data for static objects 00:05:00 Module 04: Character Materials, Textures and Normal Maps Configuring packages 00:03:00 Creating Cinemachine virtual cameras 00:08:00 Combining texture maps in Photoshop 00:09:00 Shaders and render modes for eyes and eyelashes 00:05:00 Configuring hair material and texture maps 00:05:00 Combining textures with alpha channel using Gimp 00:05:00 Module 05: Third-Person Character Control Exploring an avatar's bones and muscles 00:05:00 Referencing a controller in the animator component 00:07:00 Controlling the character with scripts and components 00:07:00 Altering code to make the character walk by default 00:06:00 Altering the script to walk and not run diagonally 00:05:00 Module 06: Configuring Characters and Cameras Set up Cinemachine FreeLook camera 00:03:00 Fine-tune free look rigs 00:07:00 Replacing animations in controller 00:07:00 Integrating a death animation into controller 00:07:00 Scripting death by falling 00:05:00 Walking upstairs using colliders from hidden ramps 00:05:00 Module 07: Making Characters Easily Interchangeable Bringing in a new character 00:04:00 Designing a third person player game object 00:06:00 Connecting FreeLook camera to third person player 00:03:00 Swapping out characters within the third person player 00:03:00 Using legacy characters 00:06:00 Using high quality commercial characters 00:07:00 Making character prefabs and overrides 00:06:00 Module 08: Refining Look with Cinemachine Extensions Using the Cinemachine collider extension 00:06:00 Setting up post-processing and anti-aliasing 00:04:00 Configuring post-processing effects 00:06:00 Module 09: Animating Stationary Characters Commercial animated stationary characters 00:07:00 Custom animated stationary characters 00:06:00 Providing seating for an animated character 00:04:00 Cropping an animation on humanoid rig 00:06:00 Module 10: Making Non-Player Characters Artificially Intelligent Bring in a new character to be driven by Ai 00:04:00 Configuring components on Ai character 00:04:00 Building and refining the nav mesh 00:05:00 Getting agents to climb stairs 00:03:00 Creating off-mesh links 00:03:00 Making nav mesh obstacles 00:06:00 Implementing high-cost areas for the Ai 00:06:00 Abstracting NPC for use with other skins & avatars 00:06:00 Module 11: Converting the Simulation into a Game Outlining the goal of the game 00:03:00 Getting the NPC to chase the Player 00:03:00 Getting a hold of the Player's Animator through code 00:08:00 Logging NPC's collision with Player to console 00:06:00 Stopping the NPC and killing the Player 00:07:00 Offsetting the death animation 00:03:00 Allowing NPC to take leap with off-mesh link 00:07:00 Module 12: Building a User Interface Adding user interface with canvases and buttons 00:09:00 Toggling defeat canvas on when NPC collides with Player 00:04:00 Differentiating between victory and defeat in code 00:09:00 Refining the NavMesh for fluid Ai movement 00:03:00 Building a GameManager class and game object 00:08:00 Connecting Restart buttons to setting bool Property true 00:05:00 Module 13: Playing with Game Controllers Connecting controller and testing in game 00:01:00 Mapping the Fire2 axis to run 00:07:00 Mapping the Fire1 axis to crouch 00:05:00 Mapping analogue stick to Cinemachine FreeLook camera 00:05:00 Fine tuning how analog game stick controls camera 00:05:00 Module 14: Conclusion Building and playing standalone game 00:05:00 Bonus 00:01:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

3D Humanoid Characters in Unity
Delivered Online On Demand6 hours 14 minutes
£25