84 Logic courses in London

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

Java basics course. General Java syntax and principles of object-oriented programming. Level: Start from scratch; this is the course for a beginner. Java from basics to fully functional. Our Style: Instructor-led Course, very practical with hands-on practice. Small groups up to 4 people. Trainers are professional developers and subject matter experts.

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 excellent Power BI covers the Query Editor and Dax Calculations in detail Online Instructor-led Classroom sessions available on request Practical, Hands-on, Interactive

Basics Java Course. Basic Java syntax and principles of Object Orientated Programming. Java Programming Fundamentals webinar Courses London, evenings, 6 weeks. Virtual Classroom. Our Style: Hands-on, Practical Course, Instructor-led Course. Level: From basics to fully functional. Who would benefit from the course: basics to Java, attend after work. Duration: one lesson of 2 hours per week for 6 weeks, from 6pm - 8pm. The first date shows as the booking date.

Java Evenings Course. Basic Java syntax and principles of object-oriented programming. Our Style: Hands-on, Practical Course, Instructor-led Course. Level: From basics to fully functional. Who would benefit from the course: basics to Java, attend after work. Duration: one lesson of 2 hours per week for 6 weeks, from 6pm to 8pm.

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