104 Programming courses in Esher

Java JUnit Course Duration: 1 Day Who would find this course useful? This is useful if you have some Java coding skills already. Location: Attend from your internet connection. Download: Java JDK and Eclipse. Learn the basic principles of Unit Testing, using Java JUnit in this excellent, practical, interactive Java Webinar. In software testing, is the execution of tests and the comparison of actual outcomes with predicted outcomes. Test automation is the use of software to control these execution of tests. JUnit is a framenwork facilitating unit testing for the Java programming language. This 1 day course explains the use of JUnit for unit testing a Java project. By completing this tutorial you will gain sufficient knowledge in using JUnit testing framework from where you can take yourself to next levels. Java JUnit Course Description JUnit 1-Day Course Outline: Online, Instructor-Led, Practical, Personalised Overview: Different types of testing Principles of unit testing JUnit Environment Setup JUnit Test Framework JUnit Basic Usage JUnit API Writing a Tests Using Assertion Execution Procedure Executing Tests Suite Test Ignore Test Time Test Exceptions Test Parameterized Test Plug with Ant Plug with Eclipse JUnit Extensions What is included PCWorkshops Course Certificate on completion Java Course Notes Java Code Examples Practical Java Course exercises, Java Course Revision work After the course: 1-Hour personalised online revision session Book the Java JUnit Course Powered by Eventbrite About us Our experienced trainers are award winners. More about us FAQ's Client Comments

Java Front-ends for desktop and mobile With Java FX Programming Java Front-ends for desktop and mobile With Java FX In this course we create attractive, functional Front-ends using JavaFX. Prerequisites: Delegates already have basic Java Skills. Duration: 2 consecutive days, the first date shows as the booking date Where: Online with Gotomeeting.com Download: Download Java JDK and Eclipse IDE. London classroom: on request locations, bring you own device Location: Online Interactive Instructor-led Webinar. Our Style: This is a very practical course giving you hands-on practice. Included: Course exercises, notes, examples, computers, evaluations Certification: PCWorkshops JavaFX Qualification Java Intermediate and Front-end Course Description Database Concepts Revision: DataBase SQL, database principles and JDBC GUI's with Java FX Building Java FX GUI's Course Contents: GUI's with JavaFX Building Java GUI's. Create a front-end form interface for an application. Working with nodes, labels, inputboxes, prgress bars, etc. Formatting your front-end. Import a Java package to interact with the front-end. Interact with a database via the front-end. Practical Examine the Java SE event model. What is an event. What is event handling. Develop event handlers. Develop Lambda-style event handlers. Practical Create a quotation app. Create a movie booking app. How to create your installer and upload your app Webservices Java Web services What are Web Services? Why Java Web Services? Web Services - Characteristics Web Services - Architecture Web Services - Examples and exercises What is included PCWorkshops Course Certificate on completion Java Course Notes Java Code Examples Practical Java Course exercises, Java Course Revision work After the course: 1-Hour personalised online revision session Book the Java Intermediate and Front-end Course Powered by Eventbrite About us Our experienced trainers are award winners. More about us FAQ's Client Comments

For pupils aged 14+ | Delivered in UK Schools by Real World App and Games Developers Our new Getting Started with Website Design and Development Workshop is a great way to introduce your pupils to coding. We’ll focus on HTML, CSS and JavaScript throughout a full-day workshop. At the end of the day, they will have a working website, along with notes and support so they are equipped to design an online portfolio for their work, or other project.

This one-day workshop is ideal for those looking to work with existing databases as well as creating a new Access database. You will learn effective ways to enter and extract data and convert data into a well-presented format for reports. This course will help participants: Plan and create a database Sort and filter records Use field data types Work with tables Create and manage a query Create and work with forms, and use the form wizard View, create and print reports 1 Access introduced Planning a database Creating a blank database Opening an existing database Security warnings The navigation pane Previewing database components Closing an Access database 2 Tables introduced Viewing and navigating table data Navigating using keyboard shortcuts Editing table data Adding records to tables Selecting and deleting records Finding and replacing data Filtering tables Summing table data 3 Queries introduced Opening a query in datasheet view Opening a query in design view Adding fields to a query Sorting query results Modifying datasheet view Saving and closing queries 4 Forms introduced Working with form data Sorting records Filtering records Working in design and layout views Changing object attributes 5 Reports introduced Opening and viewing reports Viewing a report in design view Previewing and printing report data Creating reports with auto report Creating reports with the report wizard Changing field attributes 6 Creating a new database Creating database tables Creating table fields Selecting field data types 7 Table relationships Introducing relationships Establishing table relationships The one-to-many relationship type Establishing referential integrity 8 Creating queries Streamline query criteria using wildcards Creating summary queries Creating queries based on criteria Running date queries Formatting field properties Building queries from multiple tables Summing in queries 9 Creating forms Creating a new form Inserting form fields Working with the property sheet The command button wizard The command button wizard Programming without typing Creating forms with embedded sub forms Creating forms with the sub form wizard Creating forms with the form wizard 10 Creating reports What are report bands? Managing report controls Basing reports on multiple tables Basing reports on queries Sorting and grouping records

For pupils aged 9 - 16 | Delivered in UK Schools by Real World App and Games Developers Our micro:bit Workshop teaches your class about the micro:bit, making some apps and games with them during the workshop (we bring our own micro:bits too if your school doesn't yet have any!). We’ll introduce them to MakeCode, the coding language that the micro:bit uses, and teach them the fundamentals of coding before we work on some really fun projects! For older students, we can even use Python with the micro:bit!

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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

Many organisations find that project teams struggle to create and maintain effective plans. Estimates are often overly optimistic and risks go unmanaged until the inevitable happens. Resource managers also find it hard to forecast the likely loading on their departments and requests for support are not provided in a consistent format. This programme has been developed to address these needs in a very practical, hands-on format. Case study work can be based on simulations or on the organisation's current projects for maximum benefit to participants. The aim of this training is to develop and enhance participants' planning and risk management skills in order to maximise the success of project work undertaken by the organisation. The principal training objectives for this programme are to: Provide a structured, integrated approach to planning and risk management Demonstrate practical tools and techniques for each stage of planning Show how to organise and involve relevant people in the planning process Explain how to use the plan for forecasting and pro-active project control Identify ways to improve planning, both individually and corporately The course will emphasise the importance of participative planning techniques that improve the quality of plans whilst reducing overall time and cost of planning. The course will encourage discussion of internal procedures and practices and may be customised to include them if required. DAY ONE 1 Introduction (Course sponsor) Why this programme has been developed Review of participants' needs and objectives 2 Projects and planning Why plan? The benefits of good planning / penalties of poor planning Planning in the project lifecycle; the need for a 'living' plan The interaction between target setting and the planning process Team exercise: planning the project 3 Planning the plan Defining the application and structure of the plan Impact of planning decisions during the project lifecycle Using available time to create an effective plan 4 Defining deliverables Assessing the context; reviewing the goals and stakeholders Developing the scope and defining deliverables; scope mapping Understanding customer priorities; delivering value for money Case study: defining the project deliverables 5 Creating the work breakdown Building the work breakdown structure Detailing the tasks and sub-tasks; structured brainstorming Defining task ownership; the task responsibility matrix 6 Creating and using a logical network Developing the logical network; task boarding Determining the critical path and calculating float Accelerating the plan; concurrent programming and risk Individual and group exercises DAY TWO 7 Developing resource schedules Deriving the Gantt chart from the network Developing the detailed resource schedules Calculating the expenditure profile ('S' curve) 8 Estimating task durations and costs Understanding estimates: effort, availability and duration Estimating tools and techniques Application of estimating techniques during the project lifecycle 9 Case study Developing the project plan Refining the project plan Team presentations and discussion 10 Managing risks and refining the plan Awareness of contractual issues associated with risk Identifying and evaluating risks; deciding ownership Managing risks: determining levels of provision and contingency Controlling risks: maintaining an up-to date risk register 11 Planning for pro-active control The earned value analysis (EVA) concept and its predictive value Deriving the measures needed for cost and delivery performance Practical issues associated with implementing EVA 12 Using and maintaining the plan Tracking progress and updating the plan Publishing and controlling the plan 13 Course review and transfer planning (Course sponsor present) Identify ways of implementing the techniques learnt Sponsor-led review and discussion of proposals Conclusion

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.

Code the Hangman Game in a few hours, in our Taster Java Hangman Code course Basics made simple! Learn plenty in one day and apply techniques to a game by coding The Hangman Game. Get to know what is Java coding. Will you enjoy a coding career? Or for coders, simply fast-track crossing over to Java.