88 Courses in London

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

Java CrossOver Course for Coders 1-Day, 11am - 6pm Online, Instructor-led, Interactive, Practical Java Basics to coders who are converting to Java from a different coding language. You do not need much time to learn the syntax of Java, because you have done similar work in other programming languages Hands-on, Practical Course, Instructor-led Course. Online with Gotomeeting.com 1 day, from 11am - 6pm. In classroom at on request only. Locations Java CrossOver Course description Overview of Java: This course covers Java Object-Oriented Programming (OOP) principles. Java Data Types and using Variables in Java: Here we learn to code using data types and variables of different data types: Primitives; Characters; Boolean; Variables and variable scope; String class; Type conversion and casting. Java Operators and Expressions: What are operators and how to use them; Arithmetic operators; Relational operators; Assignment operator; Logical operators; Increment and decrement operators. Decision Making: The Java Syntax for the If-statement; If,else; If,else if,else; Nested if; Switch Statements; Using Loops: For loops, while loops, do while, Enhanced for loop; Nesting loops; break, continue; The return statement. Arrays: Working with arrays, 2-d arrays, iterating arrays. Using the for-each loop with Arrays Lists: Working with lists. Lists vs Arrays. Files,streams with Java: Open, Read and Write to CSV Files, txt files and bin files. Exception Handling: Fundamentals of exception handling; Exception types; Using try and catch; Multiple catch clauses; Nested try statements; Throw and throws; The finally blocks Introduction to Classes and Objects: Creating a Class; Creating an Object; Using an Object; Adding Instance variables; Controlling accessibility; Naming conventions for class members. Class Constructors; Parameterized Constructors; Inheritance. Abstraction. Interfaces and implementing interfaces. Override. Polymorphism. The dot operator, this keyword, the static keywords, the super keyword. Using Methods: Introduction of methods; Creating a Method in class; Calling a Method; Returning value from a Method; Adding a Method that takes parameters; More in Methods and Classes: Overloading methods; Overloading Constructors; Using objects as parameters; Returning objects; Recursion; Access control : private, public and protected; The final keyword. 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 CrossOver Course About us Our experienced trainers are award winners. More about us FAQ's Client Comments

Who would find this course useful? This course excellent for beginners who would like to enter the programmer world via C#. Or for individuals have a particular need for C# Level: A good start for beginners through to intermediate with OOP. Practical confidence will be achieved with a very practical approach to the training. This is normally online, but onsite and classroom courses are also available on request

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

Workplace Mediation

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

Basic Python syntax and principles of Object Orientated Programming. Most attendees are in-work IT Professional. Private individuals are also very welcome. Evening courses also running. Our Style: Hands-on, Practical Location: Online, Instructor-led Download: anaconda.com Duration: 6 weeks, 1 evening per week, 6pm - 8pm Times: arrange a time for your time zone

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