73 Logic courses in London

GLA Tutors is your trusted partner in preparing children for the SATs and Eleven Plus exams.  We understand the importance of these exams in shaping a child's academic future, and we are here to provide comprehensive and effective tutoring to ensure their success. Our dedicated team of tutors is well-versed in the style and content of both the SATs and Eleven Plus exams. We are committed to equipping children with the knowledge, skills, and confidence they need to excel in these challenging assessments. For SATs preparation, we offer targeted instruction in key subjects such as English (including Grammar, Reading and Writing), Mathematics, and Science. Our tutors are experienced in teaching the specific curriculum and concepts covered in the SATs, ensuring that children are thoroughly prepared for each section of the exam. From comprehension and grammar in English, to problem-solving and data analysis in Mathematics, our tutors provide tailored guidance to help children tackle every aspect of the SATs with confidence. For the Eleven Plus, we assess a child's aptitude in key areas such as English, Mathematics, Verbal Reasoning, and Non-Verbal Reasoning. Our tutors have in-depth knowledge of the exam format and content, and they employ effective strategies to help children succeed in each section. From improving comprehension and vocabulary skills in English, to developing logical reasoning and problem-solving abilities in Mathematics and Reasoning, we provide comprehensive support to ensure children are well-prepared for the Eleven Plus exams. Successfully passing the SATs or Eleven Plus exams  Success in these exams opens up a world of opportunities for children. After achieving these milestones, children will have various options available to them. They may gain entry into selective secondary schools, including grammar schools, which can provide an academically challenging environment and a strong foundation for future success. Additionally, achieving high scores in these exams can enhance a child's confidence and self-esteem, paving the way for a positive attitude towards learning and academic achievement in the future. There is a direct correlation between success in these exams and the GCSEs. Individual Styles AtGLA Tutors, we understand that every child is unique, and we tailor our tutoring approach to meet their individual needs. Our tutors provide personalised instruction, focusing on areas where each child requires additional support, while also nurturing their strengths and building their overall academic abilities. We are dedicated to fostering a positive and engaging learning environment, where children feel motivated and empowered to reach their full potential. Our tutors not only impart knowledge but also instill important study skills, critical thinking abilities, and effective exam techniques that will serve children well beyond the SATs and Eleven Plus exams. Choose GLA Tutorsas your partner in preparing your child for the SATs and Eleven Plus exams. With our experienced tutors, comprehensive resources, and personalised approach, we are committed to helping children achieve their academic goals and unlock a brighter future.  Invest in your child's success and join us at GLA Tutors today.

Computer Science GCSE Syllabus The GCSE Computer Science Tutor Syllabus is designed to provide tutors in England with a comprehensive framework for teaching the GCSE Computer Science curriculum effectively. This syllabus aims to equip tutors with the necessary knowledge and skills to support students in their understanding and application of core computer science concepts.  Module 1: Introduction to Computer Science - Overview of computer science and its relevance in today's world - Understanding the components of a computer system - Introduction to algorithms and problem-solving techniques - Exploration of programming languages and their uses Module 2: Computer Hardware - Understanding the main components of a computer system, including CPU, memory, and storage devices - Exploring input and output devices and their functionalities - Understanding the role of operating systems and software in computer systems Module 3: Software Development - Introduction to programming concepts and languages (e.g., Python or Java) - Understanding variables, data types, and operators - Building algorithms and logical reasoning skills - Introduction to flowcharts and pseudocode - Implementation of simple programs and debugging techniques Module 4: Data Representation - Understanding binary, hexadecimal, and denary number systems - Representation of text, images, and sound using binary - Introduction to data compression and encryption techniques Module 5: Computer Networks - Understanding the basics of computer networks, including LAN, WAN, and the Internet - Introduction to network topologies, protocols, and security - Exploring the impact of digital communication on society Module 6: Cybersecurity and Ethical Issues - Understanding the importance of cybersecurity and data protection - Introduction to common threats and vulnerabilities - Exploring ethical issues related to computer science, such as privacy and intellectual property rights Module 7: Algorithms and Programming Techniques - Advanced programming concepts, including conditionals, loops, and functions - Introduction to sorting and searching algorithms - Exploring data structures, such as arrays and lists Module 8: System Architecture - Understanding the structure and function of a CPU - Introduction to memory hierarchy and cache - Exploring the Von Neumann architecture and its limitations Module 9: Computational Thinking and Problem Solving - Advanced problem-solving techniques using computational thinking - Introduction to algorithms for complex problems - Exploring algorithmic efficiency and optimization techniques Module 10: Exam Preparation and Revision - Reviewing key concepts covered throughout the syllabus - Practicing past exam questions and providing guidance on exam techniques - Supporting students with exam preparation strategies Please note that the duration and depth of each module can vary depending on the level of expertise required and the specific needs of the learners. Additionally, it's important to adapt the curriculum to the learners' proficiency levels, whether they are A Level/GCSE students or adult learners with different experience levels.

This course enables learners to logically and clearly work through the risk management process, from being aware of the relevant legislation, identifying hazards, assessing risk and onwards through risk reduction, balancing risk against individual choice, and the importance of recording keeping. It aims to increase learner awareness of both their responsibility and their organisation's responsibility, for meeting industry standards and keeping service users, staff, and workplaces safe.

Java Webinar Course summary In this Java Webinar Course you will learn Java Basics and OOP Principles. Java Webinar Course description This Java Course is Online, instructor-led, practical attended via Gotomeeting.com. When we receive your booking, we email a connection invitation. This Java Course Webinar will allow you to learn flexibly and commute-free from home. There is no need for attending face-to-face, all advantages of the classroom in built-in and planned for during the delivery of this webinar. We teach online with excellent instruction and targetted well-planned practicals that will clearly illustrate techniques and accurately develop your skills. Question time is built in. Session 1: Data Types, Variables, and Arrays: Primitive types; Characters; Boolean; Working with variables and its scope; Type conversion and casting; Introduction to String class; Working with arrays Session 2: Operators and Expressions Introduction of operators; Arithmetic operators; Relational operators; Assignment operator; Logical operators; Increment and decrement operators; More in operators Session 3: Decision Making If statement; If - else statement; If- else if - else statement; Nested if - else; Switch Statements Session 4: Using Loops The while, do-while and the for loop; Enhanced for loop; Jump statements : break, continue; The return statement; Nesting loops; Using the for-each loop with Arrays Session 5: Methods Introduction of methods; Creating a Method in class; Calling a Method; Returning value from a Method; Adding a Method that takes parameters Session 6: Classes Creating an Object; Using an Object. Adding Instance variables; Controlling accessibility; Class Constructors; Parameterized Constructors; Inheritance. Abstraction. Interfaces and implementing interfaces. Override. Polymorphism. The dot operator, this, static, super, final keywords More in Methods and Classes: Overloading methods; Overloading Constructors; Using objects as parameters; Returning objects; Recursion Java Access control: private, public and protected; Java Nested and inner classes; A stack class Session 7: Java Data structures Files, Streams, Collections. Session 8: Java Exception Handling Fundamentals of exception handling; Exception types; Using try and catch; Multiple catch clauses; Nested try statements; Throw and throws; Finally Blocks Included in the Java Webinar Courses: Java Webinar Course Certificate on completion Java Webinar Course Manual Practical Java Webinar Course exercises, Java Webinar Code Samples/ Java Webinar Course Revision work After the course, 1 free session for questions online Java Webinar Course via Gotomeeting.com. Max group size, online and in classroom, on this Java Webinar Course is 4.

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

This course starts with data transformation strategies, exploring capabilities in the Power Query Editor, and data-cleansing practices. It looks at the Advanced Query Editor to view the M language code. This course focuses on advanced DAX measures that include filtering conditions, with a deep dive into time intelligence measures. Like the M query language, DAX is a rich functional language that supports variables and expression references. This course also looks at the creation of dynamic dashboards and incorporates a range of visualisations available in Power BI Desktop and online in the AppSource. The course finishes with a look at setting up end user level security in tables. 1 The query editor Split by row delimiter AddDays to determine deadlines Advanced query editor 2 Fuzzy matching joins Matching inconsistencies by percentage Matching with transformation table 3 Logical column functions Logical functions IF, AND, OR Using multiple conditions Including FIND in functions 4 Editing DAX measures Make DAX easier to read Add comments to a measure Using quick measures 5 The anatomy of CALCULATE Understanding CALCULATE context filters Adding context to CALCULATE with FILTER Using CALCULATE with a threshold 6 The ALL measure Anatomy of ALL Create an ALL measure Using ALL as a filter Use ALL for percentage 7 DAX iterators Anatomy of iterators A closer look at SUMX Using RELATED in SUMX Create a RANKX RANKX with ALL 8 Date and time functions Overview of functions Create a DATEDIFF function 9 Time intelligent measures Compare historical monthly data Create a DATEADD measure Creating cumulative totals Creating cumulative measures Visualising cumulative totals 10 Visualisations in-depth Utilising report themes Create a heatmap Comparing proportions View trends with sparklines Group numbers using bins Setting up a histogram 11 Comparing variables Visualising trendlines as KPI Forecasting with trendlines Creating a scatter plot Creating dynamic labels Customised visualisation tooltips Export reports to SharePoint 12 User level security Setting up row level security Testing user security

This course is designed for those already using Power BI Desktop and are ready to work with more comprehensive elements of analysing and reporting in Power BI. The course maintains a balanced look at data analysis including the Power Query Editor, with a deep dive into writing DAX formulas, and enhanced dashboard visualisations. The aim of this course is to provide a more complete understanding of the whole Power BI analytics process, by working with business examples that will equip you with the necessary skills to output comprehensive reports and explore Power BI's analytical capabilities in more depth. 1 The Query Editor Grouping rows in a table Split row by delimiter Add days to determine deadlines The query editor 2 Fuzzy Matching Joins Matching inconsistencies by percentage Matching with transformation table 3 The Query Editor M Functions Adding custom columns Creating an IF function Nested AND logics in an IF function 4 DAX New Columns Functions Including TRUE with SWITCH Using multiple conditions The FIND DAX function The IF DAX function Logical functions IF, AND, OR 5 Editing DAX Measures Making DAX easier to read Add comments to a measure Using quick measures 6 The Anatomy of CALCULATE Understanding CALCULATE filters Add context to CALCULATE with FILTER Using CALCULATE with a threshold 7 The ALL Measure Anatomy of ALL Create an ALL measure Using ALL as a filter Use ALL for percentages 8 DAX Iterators Anatomy of iterators A closer look at SUMX Using RELATED with SUMX Create a RANKX RANKX with ALL 9 Date and Time Functions Overview of functions Create a DATEDIFF function 10 Time Intelligent Measures Compare historical monthly data Create a DATEADD measure Creating cumulative totals Creating cumulative measures Visualising cumulative totals 11 Visualisations In-Depth Utilising report themes Applying static filters Group data using lists Group numbers using bins Creating heatmaps Comparing proportions View trends with sparklines 12 Comparing Variables Visualising trendlines as KPI Forecasting with trendlines Creating a scatter plot Creating dynamic labels Customised visualisation tooltips Export reports to SharePoint

This one-day course focuses on issues such as writing formulas and accessing help while writing them, and taking formulas to the next level by nesting one inside another for a powerful formula result. It also looks at ways of analysing data with reports, summarised by varying criteria. A range of time-saving tips and tricks are shared. This course will help participants: Calculate with absolute reference Group worksheets Link to tables Use the function library effectively Get to grips with the logical IF function Use conditional formatting Create pivot table reports Use data validation Master the VLOOKUP function 1 Calculating with absolute reference The difference between a relative and absolute formula Changing a relative formula to an absolute Using $ signs to lock cells when copying formulas 2 Grouping worksheets Grouping sheets together Inputting data into multiple sheets Writing a 3D formula to sum tables across sheets 3 Linking to tables Linking to a source table Using paste link to link a table to another file Using edit links to manage linked tables 4 The function library Benefits of writing formulas in the function library Finding the right formula using insert function Outputting statistics with COUNTA and COUNTBLANK Counting criteria in a list with COUNTIFS 5 Logical IF Function Outputting results from tests Running multiple tests for multiple results The concept of outputting results from numbers 6 Conditional formatting Enabling text and numbers to standout Applying colour to data using rules Managing rules Copying rules with the format painter 7 View side by side Comparing two Excel tables together Comparing two sheets together in the same file 8 Pivot table reports Analysing data with pivot tables Managing a pivot table's layout Outputting statistical reports Controlling number formats Visualising reports with pivot charts Inserting slicers for filtering data 9 Data validation Restricting data input with data validation Speeding up data entry with data validation 10 VLOOKUP function Best practices for writing a VLOOKUP A false type lookup A true type lookup Enhance formula results with IFNA 11 Print options Getting the most from print Printing page titles across pages Scaling content for print

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

'Selling' doesn't work. You've got to help customers buy. And that means engaging with the customer in a positive way, showing that you understand their requirement and giving them confidence that your product or service is the best possible way of meeting that requirement. This may sound painless but there's more to it than meets the eye and it's all too easy to get it wrong. You need to follow a process. This programme will help participants: Understand 'how buyers buy' and align their selling activities accordingly Recognise the difference between 'latent pain' and 'active vision' opportunities Conduct effective pre-call planning and research Stimulate interest and establish credibility with your prospects Get prospects to share / admit high priority pain Engage in consultative dialogue that promotes the differentiating strengths of your offerings Gain access to 'power' people within an opportunity Effectively qualify and disqualify opportunities based on objective decision criteria Better control and manage sell cycles Improve their chances of winning competitive opportunities Shorten sales cycles and avoid 'no decision' Negotiate the steps leading to a successful sale 1 An introduction to selling Understanding the key points that encourage a customer to purchase from us The difference between consultative selling and a transactional sale Understanding the roles that trust and empathy play in a sale Understanding how tricks and manipulation can sink a sale Vital pre-meeting research that must take place before a conversation Understanding how the customer sees us and why positioning is important 2 Structuring the sales conversation process Defining a set process for structuring a sales call with a chance to demonstrate understanding How the first minute of a conversation can destroy a sale Understanding BPO objectives for a sale How a step-by-step sales conversation process helps win more sales Understanding the mis-match between the customers buying process How our sales processes can lead to mistakes 3 How and why people buy An insight into the emotional factors behind how people arrive at purchasing decisions Using research from neuroscience that shows how sales people can really make mistakes Understanding how people make decisions about larger purchases Understanding the stakeholders in companies and their buying motives How to analyse the stakeholders and determine a win-plan 4 Understanding the funnel Studying the sales and buying process to understand the ratios of sales to prospects and better forecasting Understanding the role of forecasting in sales analysis Why many forecasts are nearly always wrong Understanding the stages of a sales process How 'verifiable outcomes' can really change forecasting 5 Questioning techniques Understanding the different questioning techniques and when they should be used Using the 'knowledge tree' as a framework for questioning Understanding the use of real empathy to help customers uncover their needs How effective research can really empower your questions How to ask 'high gain' questions How to ask difficult questions without feeling intrusive 6 Features and benefits How to practically apply them in a sales scenario How to align the benefits to customers' business goals Really understanding the difference and how to demonstrate true economic benefits to a customer How to discover business goals, and align value propositions to these How to craft an effective value proposition for a customer Using the SAR storytelling method to really engage customers to align their thinking patterns Using the latest neuroscience research that explains what customers are really thinking 7 Overcoming objections How 'confirmation bias' can hinder any sales conversation How the CLARA method of responding to customer concerns can dramatically improve the chances of customers responding to us in a positive way Practising the method to become comfortable and congruent with it 8 Closing the sale A deep dive into what closing is How different sales have different closes How too many closing methods can destroy a sale How to lead up to a close with a logical sequence of questions Using the ACSAT trust method of closing A clear methodology with a chance to practise the skills in a fun way