123 Software Development courses in Warlingham

The fundamental tool to identify waste, create effective process flow, reduce process cycle times, and implement process improvement.

Python Basics: Course Description Excellent for beginners, practical, in small groups of max 4 people, 1 Day Online Instructor-led. You could contact us for your prefereed date. Session 1: Python Data Types and Variables: Primitive types; Characters & Strings; Boolean; Working with variables and its scope; Conversion and casting types in Python. Operators and Expressions: Introduction of operators; Arithmetic operators; Relational operators; Assignment operator; Logical operators; Increment and decrement operators.. Exercise: Calculate Movie Tickets for a Party, Are there enough seats in the cinema? Decision Making & Loops If statement; If - else statement; If- elif - else statement; Nested if - else; Exercise: Calculate the travel fee to deliver goods The while, For loop Jump statements: break, continue; Nesting loops. Exercise: Enter a password, if incorrect 3 times, you are blocked. Session 2: Data Structures Lists. Tuples. Exercise: Hangman Game Exercise: Get a word for the game from a Json File, store the high score in a Dictionary file Session 3: Files and exceptions Exception Handling, Exception types; Using try and Except. Files, streams: Open, Traverse, Read and Create Files: Csv, txt and Json Files. API: Connecting to API’s. Session 4: OOP Creating and using custom Functions. Using parameters and return values. Creating a Class; Creating an Object; Using an Object; Adding Instance variables; Class Constructors; Parameterized Constructors. Inheritance. Override. Session 5: Pandas Dataframe Basics Getting data into a dataframe: Dict to Dataframe, Dataframe to Dict. Excel To Dict, Dict to Excel , working with Excel data, multiple Excel sheets. Getting information about the dataframe, Filter, sort and query a Dataframes, Slicing Dataframes, Duplicate values,Working with null-values, Sampling. Exercise: Query the top 1000 grossing movies of the last century Session 6: Built in Functions: String, Math, Random Python built-in functions: Strings functions. Maths functions. Random Functions. Exercise: Find information in prose, to get the sentiment of the prose. Exercise: Get a word for the game from a txt File Exercise: Win the lottery Included: PCWorkshops's Python Programming Basics Certification Course notes, exercises and code examples Revision session after the course Refund Policy No Refunds

Film and VFX face to face training customised and bespoke. One to One Online or Face to Face

This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds

Excel Advanced Course, 1-Day. Who should attend: Excel Advanced is for Excel Experts: Your work daily with Excel and your work revolves around spreadsheets and Excel databases. Course Details: Location: Instructor-led, Online. Our Style: Hands-on, Practical Course. Group Size: Max 4 people per group. Qualification: PCWorkshops Excel Advanced Certification Hours: 1 Day, 10am-5pm Delivery Style: 1-1, because we understand that individuals have varying skill levels and varying applications. Excel Advanced Course Description General Editing Standard Formatting Rules Input Validate rules Using Formulas in Conditional Formatting Group and Outline Filter and Sorting Excel Tables and Advanced Filter Working with Excel tables Copy specific datasets from sheets, workbooks or external data Consilidate Goal seek, consolidate and scenarios Using Form Templates Creating Templates Advanced Excel Lookup Functions VLookup Function Hlookup Function Using the Index Function, Using the Match Function, Index and Match Together Using the Indirect Function Excel Advanced Functions Using Error Functions, Logical Functions, Array Functions, Rounding Functions Advanced Excel Pivot Table Tools Importing Pivot Table Data, Calculated Fields in Pivot Tables, Showing Pivot Data as a Percentage, Creating Custom Pivot Tables Styles Pivot Charts Excel Macros Creating, amending and deleting macros Running macros Macro menus, toolbars and shortcuts Alternative Excel Courses Inlcuded with the Excel Advanced Course PCWorkshops Excel Advanced Certificate on completion Excel Advanced Notes Excel Code Examples Practical Excel Advanced exercises Personalised attention in a 1-1 session About us Our experienced trainers are award winners. FAQ's Client Comments

Unity 3d face to face training customised and bespoke.

https://www.transmedia.co.uk/course/ai-image-generation-using-firefly

Python Course, code the Hangman. Basic Python Course covers in one hour the coding of an interesting app. Any one very welcome. Our Style: Hands-on, Practical Location: Online, Instructor-led Download: anaconda.com Duration: 1 Hour Times: arrange a time for your time zone

Why Choose Vray for Maya Essentials Course?  Learn V-Ray's power for stunning 3D visualizations. In design and architecture, it's essential for effective idea communication, offering an intuitive interface and efficient rendering, ensuring faster images and animations. Click here for more info: Website Duration: 10 hours Training Approach: 1-To-1 Sessions. Schedule: Customize your schedule by pre-booking a convenient hour of your choice, available Mon to Sat between 9 am and 7 pm. Module 1: Introduction to Vray for Maya (2 hours) Understand the significance of Vray and its integration with Maya. Installation and setup of Vray for Maya. Familiarize with the Vray interface, workflow, and materials overview. Module 2: Lighting with Vray (2 hours) Explore various lighting techniques in Vray. Understand different Vray lights and their settings. Master the creation and control of Vray sun, sky, dome lighting, and IES lights. Learn efficient lighting workflows with Vray. Module 3: Vray Camera (2 hours) Grasp Vray camera settings and exposure control. Work with Vray depth of field and create camera animations. Understand Vray frame buffer functionalities. Module 4: Vray Materials (2 hours) Explore Vray materials, realistic material creation, and custom material libraries. Utilize Vray material overrides for enhanced customization. Module 5: Vray Rendering and Post Production (2 hours) Dive into Vray rendering settings and techniques for both images and animations. Enhance post-production skills using Photoshop and Vray frame buffer. Learn the art of compositing Vray render elements and utilizing Vray denoiser. Additional Topics Covered: Global Illumination in VRay: Exploring techniques such as Irradiance Map, Light Cache, Quasi-Monte Carlo/Brute Force, and Environmental Lighting. Image Sampling: Understanding Fixed, Adaptive QMC, and Adaptive Subdivisions for optimal rendering quality. VRay Lights: Mastering Plane Light, Dome Light, Sphere Light, VRay Sun, VRay Shadow, Image-Based Lighting HDRI, and Object-Based Lighting. VRay Camera: Manipulating Focal Length, Film Speed, and Shutter Speed for precise camera control. VRay Materials: Customizing Diffuse Color, Reflection, Refraction, and Blurry Reflections for lifelike material creation. Rendering Test Scenes: Practical application by rendering interior and exterior scenes for a hands-on learning experience. V-Ray-Maya Trial  https://www.chaos.com Master Vray for Maya to create high-quality renders. Apply various lighting techniques for realistic and visually appealing scenes. Control Vray camera settings and create dynamic shots. Create and customize realistic Vray materials for 3D scenes. Optimize rendering settings for high-quality output. Enhance renders with post-production techniques in Photoshop. Establish an efficient workflow with Vray in Maya. Gain hands-on experience and access valuable resources for further practice. Vray Proficiency: Master Vray tools, interface, and workflows in Maya for advanced 3D visualization. Advanced Lighting Skills: Expertise in diverse lighting techniques, including Vray sun, sky, and IES lights. Camera Control: Proficient manipulation of Vray camera settings, exposure, and animations. Material Customization: Create and customize realistic materials, utilizing custom libraries and overrides. Rendering Excellence: Skills in rendering images and animations, post-production, and compositing techniques. Global Illumination Mastery: Understand advanced global illumination methods for realistic scene lighting. Potential Jobs: 3D Lighting Artist: Specialize in illuminating scenes for films, games, or animations. 3D Visualization Specialist: Create realistic architectural or product visualizations. 3D Rendering Specialist: Focus on rendering high-quality images and animations. 3D Animator: Animate scenes within the context of realistic lighting. 3D Modeler: Develop detailed 3D models, ensuring realistic rendering. Visualization Consultant: Provide expert advice on visualization techniques. Freelance Vray Artist: Work independently on diverse projects, rendering scenes with exceptional realism. Expert Guidance: Receive guidance from certified tutors and industry professionals, benefitting from their deep expertise and practical insights. They will share valuable tips and techniques to enhance your rendering skills. Flexible Learning: Choose between in-person or live online sessions, tailored to your preference and location. Schedule training at your convenience, available Monday to Sunday, 9 am to 8 pm. Lifetime Assistance: Access lifetime email support, ensuring continuous guidance even after course completion. Our dedicated team is committed to addressing your queries and helping you overcome challenges. Unlock Your Potential: Enroll in our V-Ray for Maya Training Course to harness the power of this industry-leading rendering engine. Elevate your visual effects and animation skills, unleashing your creativity with stunning and lifelike renders.

Python Machine Learning algorithms can derive trends (learn) from data and make predictions on data by extrapolating on existing trends. Companies can take advantage of this to gain insights and ultimately improve business. Using Python Machine Learning scikit-learn, practice how to use Python Machine Learning algorithms to perform predictions on data. Learn the below listed algorithms, a small collection of available Python Machine Learning algorithms.