1945 RES courses in London

2 day Leadership workshop * Pre workshop Leadership diagnostic analyses your current leadership behaviour and impact on business results * Workshop format includes Diagnostic report debrief & planning for change, Leadership Style, Creating and communicating Vision, Goal setting and commitment to achievement, Coaching & Developing Staff, Performance Management, Rewards and Recognition, Teamwork and Motivation, via simulations, discussion and your current real-world issues. *Leadership diagnostic re-measure after 6 months to quantify improvement, change etc.

Being a Mentor in the Early Years

A powerful program for teams to participate in together in order to: Develop high-performance teamwork Work together to achieve team goals Assume responsibility and accountability Handle challenges through team communication Create mutual trust, support, and collaboration

dvanced Course This MS Project Advanced course is an intensive, hands-on, one-day training course, concentrating on complex calendars, complex costs, multiple baselines, multiple projects and other advanced MS Project features. This is a one day course, one a one-to-one basis, attending to individual questions and issues. Group bookings could be requested

Java Bootcamp Course Summary. Learn all about Java Programming program thoroughly. From scratch to job-ready. 1 lesson per week for 12 weeks. Many Practical exercises. Practical project. Personalised, Max 4 people per course. PCWorkshops Certificate, Oracle Certification is assessment based Course Details How does it work Java bootcamp Structure: 1 weekly lesson for 12 weeks Plus practical: +-15 hours per week. Plus 1-1 Mentoring: additional between sessions Plus Practical Project: Upload and showcase your project Plus Practical Java Exercises: Java practical exercises per session Duration: 12 Weeks, one session per week Where: Online or Classroom Study level: From beginner to job-ready. Java Bootcamp Certification: PCWorkshops Java certificate Java Oracle certificate: OCP Where is the Java Bootcamp? Online: Instructor-led. Classroom: Request per email Materials Video Tutorials: Short and easy Java Coding Examples: All lessons are illustrated with code examples Java Manuals and Notes: In-depth reference materials Exercises: Weekly practical exercises Personalised 1-1 Mentoring 1-1 Mentoring: Arranged additionally Personalised: Dedicated expert Java mentor per student Success Guarantee: Ask your Java questions and work at your pace Practical Exercises Learn by doing: Excellent way to learn Java and re-inforce weekly lesson content Gain practical expertees: You will become fluent at coding Java with practice Practical Project Weekly exercises amalgamate into a great practical project Show case your project on Github Projects: Student may choose from a few given options, prioritise frontend, backend or full stack for their projects. Project requirements for Certification: To receive the PCWorkshops Programmer Java Certificate students need to work on a project and complete practicals. Uploading any one project of you choice, is necessary for the certificate. We evaluate practicals during the course of the bootcamp. Exclusion from projects: If you would like to be excluded from the project, then you mention that on the registration form. You may be excluded from the project, but this will not qualify you for any discount. In-work professionals: Some students attend because their employers want them to attend to upgrade their skills and they sometime apply to be excused from the projects, because they have limited time and they work already where they are involved in their professional projects. Previous project topics include: Movie theatre ticket sales Student Management System Hotel Booking System Bank Management Project E-commerce Product Sales Services quotation system Quiz app Food Ordering System Media Player Application Tic-Tac-Toe Game Part Time One full day per week: Fridays or Saturdays Learn and earn: Keep your job, earn your salary, get qualified in Java, then change Learn Java in your own time: Practice in your own time 1-1 Mentoring: Schedule this according to your own diary Payment Options Follow the booking link Arrange for installments Weekly Java bootcamp topics and other details Weekly Java lesson topic descriptions Overview of Java Fundamentals: Java Data Types, Variables: Primitive types; Characters; Boolean; Working with variables and its scope; Type conversion and casting; The String Class: Using the String class and String methods. Scanner Class: Getting user input. Java Operators and Expressions: Introduction of operators; Arithmetic operators; Relational operators; Assignment operator; Logical operators; Increment and decrement operators. Decision Making: If statement; If - else statement; If- else if - else statement; Nested if - else; Switch Statements Using Loops: The while, do-while and the for loop; Enhanced for loop; Jump statements : break, continue; The return statement; Nesting loops. Using Methods Introduction of methods; Calling a Method. Introduction to Classes and Objects: Creating a Class; Declaring Member Variables; Creating an Object; Using an Object; Adding Instance variables; Encapsulation, getters and setters; Controlling accessibility; private, public and protected; Class Constructors; Parameterized Constructors; Inheritance. Override. Polymorphism. Abstraction. Interfaces and implementing interfaces. The dot operator, this keyword, the static keywords, the super keyword. Access modifiers: Learn Java Nested Classes, Inner Class Classes, Local Classes, Anonymous Classes, Lambda Expressions, Method References, When to Use: Nested Classes, Local Classes, Anonymous Classes, and Lambda Expressions, Enum Types Nested and inner classes; A stack class. Handling Exceptions Differentiate among checked exceptions, unchecked exceptions, and Errors Create a try-catch block and determine how exceptions alter normal program flow Describe the advantages of Exception handling Create and invoke a method that throws an exception Recognize common exception classes (such as NullPointerException, , ArithmeticException, ArrayIndexOutOfBoundsException, ClassCastException) Use try-catch and throw statements Use catch, multi-catch, and finally clauses Create custom exceptions and Auto-closeable resources Use Autoclose resources with a try-with-resources statement Test invariants by using assertions Java I/O Fundamentals Read and write data from the console Use BufferedReader, BufferedWriter, File, FileReader, FileWriter, FileInputStream, FileOutputStream, ObjectOutputStream, ObjectInputStream, and PrintWriter in the java.io package. Json Files Learn Java Arrays: Working with arrays, 2-d arrays, iterating arrays.Using the for-each loop with Java Arrays The Collection Interface This enables you to work with groups of objects; it is at the top of the collections hierarchy. The List Interface This extends Collection and an instance of List stores an ordered collection of elements. The Set This extends Collection to handle sets, which must contain unique elements. The SortedSet This extends Set to handle sorted sets. The Map This maps unique keys to values. Collections Streams and Filters Use java.util.Comparator and java.lang.Comparable interfaces Collections Streams and Filters Iterate using forEach methods of Streams and List Describe Stream interface and Stream pipeline Filter a collection by using lambda expressions Use method references with Streams Lambda Built-in Functional Interfaces Use the built-in interfaces included in the java.util.function package such as Predicate, Consumer, Function, and Supplier Develop code that uses primitive versions of functional interfaces Develop code that uses binary versions of functional interfaces Develop code that uses the UnaryOperator interface Java Stream API Develop code to extract data from an object using peek() and map() methods including primitive versions of the map() method Search for data by using search methods of the Stream classes including findFirst, findAny, anyMatch, allMatch, noneMatch Develop code that uses the Optional class Develop code that uses Stream data methods and calculation methods Sort a collection using Stream API Save results to a collection using the collect method and group/partition data using the Collectors class Use flatMap() methods in the Stream API Application Programming Interface (API) An Application Programming Interface (API) contains software building tools that facilitate interaction between systems. An API may be for a database system, operating system, computer hardware or a web-based system. Java File I/O (NIO.2) Use Path interface to operate on file and directory paths Use Files class to check, read, delete, copy, move, manage metadata of a file or directory Use Stream API with NIO.2 Working with Selected classes from the Java API Manipulate data using the StringBuilder class String methods Create and manipulate Strings Random Functions Math Class Use Date/Time API Create and manage date-based and time-based events including a combination of date and time into a single object using LocalDate, LocalTime, LocalDateTime, Instant, Period, and Duration Work with dates and times across timezones and manage changes resulting from daylight savings including Format date and times values Define and create and manage date-based and time-based events using Instant, Period, Duration, and TemporalUnit Localization Read and set the locale by using the Locale object Create and read a Properties file Build a resource bundle for each locale and load a resource bundle in an application Refer to the SQL 1-Day Course Relational Database Concepts: SQL Language Essentials: The SQL Select Statement SQL Conditions and the Where Clause: Greater and Less than, =, Not, Between, AND, OR, Like, Wildcards The SQL Order By Clause SQL Arithmetic Operations, Expression Queries SQL Column Aliases Limit/Top, Distinct Working with Null Values SQL Summarizing and Grouping Data: Aggregate Functions (Sum, Avg, Count, Max, Min) The Group By Clause The Having Clause Querying Multiple Tables: Joining Tables, Inner Joins, Outer Joins, Self Joins, Full Joins, Cross Joins Alternative Join Syntax Additional SQL Features: Combining Queries The Union, Intersect and Minus Operators Basic Subqueries SQL Queries, DML, DDL commands, stored procedures. Introduction to Big Data, NoSQL databases and Hadoop. JDBC JDBC stands for Java Database Connectivity. JDBC is a Java API to connect and execute the query with the database. It is a part of JavaSE (Java Standard Edition). JDBC API uses JDBC drivers to connect with the database Connecting to databases and embedding SQL Queries to interact with database while coding, Defining the layout of the Java JDBC API, Connecting to a database by using a JDBC driver, Submitting queries and get results from the database, Specifying JDBC driver information externally, Create database, drop database using JDBC Create Table, Drop Table using JDBC Insert Records, Udate Records, Delete Records using JDBC Select records using JDBC : Multithreading Life Cycle of a Thread Thread Priorities Create a Thread by Implementing a Runnable Interface Create a Thread by Extending a Thread Class Thread Methods Major Java Multithreading Concepts While doing Multithreading programming in Java, you would need to have the following concepts very handy − What is thread synchronization? Handling interthread communication Handling thread deadlock Major thread operations Processes and Threads, Thread Objects Defining and Starting a Thread, Pausing Execution with Sleep Interrupts, Joins The SimpleThreads Example Synchronization, Thread Interference, Memory Consistency Errors, Synchronized Methods Intrinsic Locks and Synchronization, Atomic Access, Liveness, Deadlock, Starvation and Livelock Executors, Executor Interfaces, Thread Pools, Fork/Join, Concurrent Collections Guarded Blocks, Immutable Objects A Synchronized Class Example A Strategy for Defining Immutable Objects, High Level Concurrency Objects, Lock Objects Overview: Different types of testing Principles of unit testing using JUnit 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 JUnit Plug with Eclipse JUnit Extensions Why Choose Spring as Your Java Framework? Inversion of Control and Dependency Injection with Spring Constructor Dependency Injection in Spring What is a Spring Bean? Spring Bean Scopes Spring Bean Annotations Spring @Autowired Annotation Wiring in Spring: @Autowired, @Resource and @Inject Spring @Qualifier Annotation @Component vs @Repository and @Service in Spring Properties with Spring Create a small JAVA Sprin Boot web app Introduction to JPA with Spring Transactions with Spring and JPA Spring JDBC Spring Persistence Tutorial Create a Login System using CRUD operations Getting Started with JavaFX What Is JavaFX What is JavaFX? JavaFX is a software platform for creating and delivering desktop applications, as well as rich Internet applications (RIAs). JavaFX is intended to replace Swing as the standard GUI library for Java SE. Get Acquainted with JavaFX Architecture Deployment JavaFX Guide Graphics Getting Started with JavaFX 3D Graphics Use the Image Ops API Work with Canvas JavaFx User Interface Components Work with JavaFx UI Controls Create Charts Add Text in JavaFx Add HTML Content Work with Layouts Skin Applications with CSS within JavaFx Build UI with FXML Handle Events JavaFX Scene Builder 2 JavaFX Scene Builder Overview. JavaFX Scene Builder is a visual layout tool that lets users quickly design JavaFX application user interfaces, without coding. Users can drag and drop UI components with Scene Builder. Get Started with JavaFx Scene Builder Working with Scene Builder Design UI with Scene Builder Use JavaFx Scene Builder with Java IDEs Install Scene Builder Book the Java Coding Bootcamp Book the Java Boot Camp Powered by Eventbrite About us Our experienced trainers are award winners. More about us FAQ's Client Comments

A thorough Introduction to Android Studio, packed with essential and interesting features of this package to help you create Android Apps. Online Instructor-led. Classroom on-request. Practical, Hands-on. From basics to efficient.

Learn to code Python, from scratch to job-ready. With this excellent Python Programming course London you will achieve job-ready coding expertees. How does it work? Online, Instructor-led lessons: 1 full day lesson per week, for 12 weeks Plus Self-study Materials and a Structured Self-Study Program Plus 1-1 mentoring Scheduled in addition Plus Live Online Practical Project to showcase your expertees Part Time Part Time 1 full day per week, online instructor-led. Self study, in your own time. 1-1 mentoring, schedule your preferred time. Earn and Learn, stay employed, work, earn your salary until you qualify, then change. 1-1 Mentoring 1-1 Mentoring Additional, between weekly sessions. Work at your pace, 1-1 sessions can cover extra work and/or help you catch up. Gain confidence, because we revise & validate your practicals. Be re-assured, get immediate answers to your questions. Self-Study Self-Study Learn by doing, the best way to re-inforce learning, is by trying on your own. Practical, most of the self-study work is practical exercises. Gain experience, this aspect of the course gives you experience employesr are seeking. Practical Project Practical Project Live online, upload your project. Showcase, your expertees are testified online. Become known, your project will put you in contact with the coding community. Materials Materials Video Tutorials, Short and easy. Python Coding Examples, Plenty thereof. Manuals and Notes Reference materials. Exercises, Practical work with every class. Payments Payments Best deal: → £2100 up front. Installments: Contact us to arrange. Our Style Our Style Personalised, 1-1 Mentoring & Small Groups, Max 4. Practical, Hand-on. Online Instructor-Led. Weekly topics and other details Weekly Python lesson topic descriptions Overview of Python Fundamentals: Python Data Types, Variables: Primitive types; Characters; Boolean; Working with variables and its scope; Type conversion and casting; Strings String Functions, Strings vs numbers vs dates. Getting user input. Python Operators and Expressions: Introduction of operators; Arithmetic operators; Relational operators; Assignment operator; Logical operators; Increment and decrement operators. Decision Making: If statement; If - else statement; If- else if - else statement; Nested if - else; Switch Statements Using Loops: The while, do-while and the for loop; Enhanced for loop; Jump statements : break, continue; The return statement; Nesting loops. OOP Principals Using Methods: Learn Python method basics. Defining Methods, Parameters, Returning values, Overloading methods, Calling methods. Encapsulation. Classes and Objects Inheritance, Override, Constructors, Parametised Constructors, the self keyword, Inner classes Lists. Tuples. Sets, Dictionary. Json Files. Using Built-in modules and functions for strings, maths and dates. Exception Handling, Files, Streams. Database concepts, Relational Database Data Types, Columns, Tables Relationships SQL statements DDL SQL Statements: Create and drop a databases Create,aleter and drop alter tables Select queries: where-clauses, wildcards, order by, joins, aggregates, having, DML Queries: Insert, Update and deleting records Connect to a from Python to a SQLite3 database, Data Driven Python Project: DDL Queries: Create a table, alter tables, drop a table Creating a log of transactions, using the above DML Queries: insert, delete, update records Creating a log-in facility to register, delete and maintain users Create a Search facility using select queries Query a database with wildcard parameters and display results Numpy Arrays The Python NumPy Module: Working with arrays, create data using arrays. Array manipulation and array-wise math functions. String functions on arrays. Numpy Built-In Functions : Math, arithmetic and statistical functions. Numpy Calculations Pandas Series Data Cleaning Python Pandas Dataframes and data importing Python Dataframes Data Series. Date/ Time Functionality. Time series. Creating Dataframes, Indexing. Dict to Dataframe, Dataframe to Dict. Csv to Dataframe, Dataframe to csv. Excel to Dataframe, Dataframe to Excel. Data Cleaning and preparation Finding, replacing and filtering missing data. Remove Duplicates. Replacing values. Renaming Axis Indexes. Pandas Data Wrangling Discretization and Binning. Random Sampling. Transforing data using function and mapping, Hierarchical Indexing, Reorder, Sorting, Stastitics, Dataframe Joins, Merging, Concatenation, Overlap. Reshaping and pivoting. Query a Pandas Dataframe Data Analysis: Sorting. Analysing and finding data using filter, slicing and dataframe queries. Finding data by Iteration. Find statistics: Functions, Aggregate functions. Unique values. String objects, Regex. Chart Types: Bar, Column, Line, Scatter, Pie, Area, Histogram, Funnel Charts Formatting: Changing gridlines lines, axes, scales, markers, colours, Chart Elements: legends, titles, plot seizes, exporting. 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 Algorithms: Apriori, Euclat Ensemble Methods Algorithms: Stacking, bagging, boosting. Random Forest Random Forest, Gradient Boosting Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. Python Tkinter Front-end Basics Getting Started with HTML Getting Started with CSS Getting Started with Php Getting Started with JavaScripts Book the Python Boot Camp About us Our experienced trainers are award winners. More about us FAQ's Client Comments

This MS Access Advanced Course mostly covers creating advanced MS Access reports, forms, and macros. Create and amend Advanced Forms and Advanced Reports. Macro buttons. This assists you to build user-friendly forms to facilitate effective navigation, effective data capture and effective viewing and querying data This course will help you to structure MS Access tables, import, and manage your data effectively.

Database Design and Data Normalization Course Summary Relational Databases & Data Normalisation Overview Training Courses London. Learn how to decide which tables and columns are required for a database, plan relationships, how to decide on data types and how to relate tables. Database Design and Data Normalization Course Description Session 1: Introduction to Relational Databases The Database Approach Database Management Systems The function of a Database Management System The Processing Architecture The Schema Architecture The Storage Architecture An overview of Database System Development An overview of general database principles Session 2: Conceptual Data Models Overview of Entity Models Entities and how to identify them Attributes and how to identify them Relationships and their qualities Building an Entity Relationship Diagram Resolving many-to-many relationships Sub-type and Super-type Relationships Arc Relationships Recursive Relationships Constraints and Assumptions Normalization to the First Normal Form (1NF) Normalization to the Second Normal Form (2NF) Normalization to the Third Normal Form (3NF) Exercises: Analyzing a specification Creating an Entity Relationship Diagram from it Session 3: The Relational Model Relational Structure Relational Terminology Domains A Relational schema Candidate keys and Primary Keys Foreign Keys Key Constraints Attribute Constraints Implementing Sub-type/Super-type Relationships Views Denormalization using Pre-joined Tables Denormalization using Derived Data An Introduction to Structured Query Language (SQL) Simple Queries Simple Updates of the Data Included in the Database Design and Data Normalization Courses: Database Design and Data Normalization Course Certificate on completion Database Design and Data Normalization Course Manual Practical Database Design and Data Normalization Course exercises, Database Course Homework / Database Course Revision work After the course, 1 free session for questions online Database Course via Gotomeeting.com. Max group size, online and in classroom, on this Database Course is 4.

C++ Bootcamp is for coding beginners: You want all the basic stuff, all the advanced stuff and practical experience and get a fantastic job in C++