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Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently

Duration 3 Days 18 CPD hours Discover and explore how to use the fundamental building blocks of the Swift programming language. class will teach you the basic concepts of Swift programming, including syntax, logic, structures, functions, and patterns. It also includes detailed explanations of language syntax and coding exercises. Introduction to Swift Constants, Variables, and Data TypesOperatorsControl FlowStrings & FunctionsStructures & ClassesOptionalsCollectionsLoopsType CastingGuard StatementsScope & EnumerationsProtocolsClosuresExtensions

In our pronunciation course we will focus on helping entrepreneurs to develop their speech clarity and listening comprehension. In this course, you will develop the knowledge and skills needed to be understood by native speakers and the ability to follow spoken language. Pronunciation is vital to proper communication because the incorrect use of pronunciation inevitably leads to the message being misunderstood by the recipient. The Pronunciation course includes, The theory and application of articulatory phonetics; phonetic transcription; phoneme theory; phonemic transcription; syllable structure; syllable weight; stress; weak forms; aspects of connected speech and intonation. Personalised study plan Progress report Tailored to your native language Interactive learning

In order to be an effective manager, it is extremely important to have good communication skills so that you can get your instructions across clearly and in a manner which will get you the results you desire from your employees. Our 2-day Effective Communication and Influencing course aims to provide attendees with a range of skills and behaviours which will allow them to communication clearly and effectively. Course syllabus modules include explaining the communication process, the different styles of influencing, the importance of body language and tone of voice, non-verbal communication and more. Course Syllabus The syllabus of the Effective Communication and Influencing course is comprised of seven modules, covering the following: Module One The Communication Process Identifying, what is effective communication? Recognising the different ways in which we communicate The barriers to effective communication Looking at Johari's™ Window, to better understand how communication flows Module Two Effective Communication Skills Demonstrating a positive mental attitude Establishing active listening Developing your questioning skills Using positive language Module Three Different Types of Influencing Looking at influencing versus manipulation Developing your own preferred influencing style Understanding the different influencing styles and their uses adopting a flexible style for the desired outcome Module Four Behaviour Breeds Bahaviour (Transactional Analysis) Looking at the history of hidden transactions in communications The hidden meaning in what we say and what we receive How to recognise if what you're saying is calm, rational, logical and professional Module Five Body Language Understanding the impact of body language in effective communication Noticing how your own body language influences others positively and negatively Analysing and practicing the techniques of successful body language Module Six It's All in the Voice Learning the importance of tone of voice in effective communication Realising how your tone of voice influences others Module Seven Written Communication Understanding the pitfalls of opening a discussion Identifying the different types of written communication Recognising the importance of preparation and planning Looking at different structures and layouts of written communication Using the correct words and phrases Scheduled Courses Unfortunately this course is not one that is currently scheduled as an open course, and is only available on an in-house basis. Please contact us for more information.

Duration 5 Days 30 CPD hours This course is intended for This course is intended for individuals who are Application designers and database developers, database administrators and web server administrators. Overview Upon successful completion of this course, students will be able to work with Oracle database programming using the PL/SQL programming language. They will learn the syntax, structure and features of the language. In this course, students will learn the foundation for the programming series and the use of database-resident stored program units for Oracle 12c. Selection & Setup of the Database Interface Considering Available Tools Selecting the Appropriate Tool Oracle Net Database Connections Oracle PAAS Database Connections Setup SQL Developer Setup SQL*Plus Setup Jdeveloper About Bind & Substitution Variables Using SQL Developer Using SQL*Plus Choosing a Database Programming Language What is Database Programming? PL?SQL Performance Advantages Integration wth Other Languages PL/SQL Language Fundamentals PL/SQL Program Structure LANGUAGE SYNTAX RULES EMBEDDING SQL WRITING READABLE CODE GENERATING DATABASE OUTPUT SQL*PLUS INPUT OF A PROGRAM BLOCK Declare Section About the Declare Section DECLARE PRIMITIVE TYPES DECLARATION OPTIONS NOT NULL CONSTANT DATA DICTIONARY INTEGRATION %TYPE DECLARE SIMPLE USER---DEFINED TYPES TYPE... TABLE TYPE... RECORD EXTENDED USER---DEFINED TYPES Begin Section About the Begin Section Manipulating Program Data Logic Control & Branching GOTO LOOP IF-THEN-ELSE CASE Exception Section ABOUT THE EXCEPTION SECTION ISOLATING THE SPECIFIC EXCEPTION PRAGMA EXCEPTION_INIT SQLCODE &SQLERRM Example SQL%ROWCOUNT &SELECT...INTO Beyond the Basics: Explicit Cursors ABOUT EXPLICIT CURSORS EXTENDED CURSOR TECHNIQUES FOR UPDATE OF Clause WHERE CURRENT OF Clause Using FOR?LOOP Cursors Beyond the Basics: Nested BlocksBeyond the Basics: Declared Subprograms USING DECLARED SUBPROGRAMS DECLARED PROCEDURE DECLARED FUNCTION Introducing Databse-Resident Program Units ABOUT DATABASE---RESIDENT PROGRAMS PHYSICAL STORAGE & EXECUTION TYPES OF STORED PROGRAM UNITS STORED PROGRAM UNIT ADVANTAGES MODULAR DESIGN PRINCIPLES Creating Stored Procedures & Functions STORED PROCEDURES & FUNCTIONS CREATE PROCEDURE / CREATE FUNCTION CREATING PROCEDURES & FUNCTIONS RAISE_SALARY() Procedure SALARY_VALID() Function THE PARAMETER SPECIFICATION DEFAULT Clause SYSTEM & OBJECT PRIVILEGES USING THE DEVELOPMENT TOOLS Executing Stored Procedures & Functions CALLING PROCEDURES & FUNCTIONS UNIT TESTING WITH EXECUTE ANONYMOUS BLOCK UNIT TESTING SPECIFYING A PARAMETER NOTATION SQL WORKSHEET UNIT TESTING CALLING FUNCTIONS FROM SQL Maintaining Stored Program Units RECOMPILING PROGRAMS Mass Recompilation Using UTL_RECOMP() DROPPING PROCEDURES & FUNCTIONS DROP PROCEDURE / FUNCTION DATA DICTIONARY METADATA Using USER_OBJECTS Using USER_SOURCE Using USER_ERRORS Using USER_OBJECT_SIZE Using USER_DEPENDENCIES Managing Dependencies DEPENDENCY INTERNALS TRACKING DEPENDENCIES THE DEPENDENCY TRACKING UTILITY SQL DEVELOPER DEPENDENCY INFO DEPENDENCY STRATEGY CHECKLISTS Creating & Maintaining Packages ABOUT PACKAGES CREATING PACKAGES MAINTAINING PACKAGES PERFORMANCE CONSIDERATIONS Advanced Package Capabilities DEFINER & INVOKER RIGHTS WHITE LITS & ACCESSIBLE BY PERSISTENT GLOBAL OBJECTS DEFINING INITIALIZATION LOGIC OBJECT ORIENTATION SUPPORT Advanced Cursor Techniques USING CUSROS VARIABLES USING SYS_REFCURSOR USING CURSOR EXPRESSIONS Using System-Supplied Package DBMS_OUTPUT() UTL_FILE() FOPEN() EXAMPLE Database Trigger Concepts ABOUT DATABASE TRIGGERS DML EVENT TRIGGER SUB---TYPES DATABASE TRIGGER SCENARIO TRIGGER EXECUTION MECHANISMS TRIGGERS WITHIN SQL WORKSHEET Creating Database Triggers STATEMENT-LEVEL TRIGGERS Using RAISE_APPLICATION_ERROR() ROW---LEVEL TRIGGERS EXAMPLES OF TRIGGERS EMPLOYEE_SALARY_CHECK Example EMPLOYEE_JOURNAL Example BUDGET_EVENT Example INSTEAD OF TRIGGERS TRIGGERS WITHIN AN APPLICATION Maintaining Database Triggers CALL SYNTAX TRIGGER MAINTENANCE TASKS SHOW ERRORS TRIGGER DROP TRIGGER ALTER TRIGGER MULTIPLE TRIGGERS FOR A TABLE HANDLING MUTATING TABLE ISSUES Implementing System Event Triggers WHAT ARE SYSTEM EVENT TRIGGERS? DEFININGTHE SCOPE AVAILABLE SYSTEM EVENTS SYSTEM EVENT ATTRIBUTES

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Attending this programme will give you the knowledge and skills to transform your communication skills immediately, having learnt: The pros and cons of different communication channels and when best to use them The power of communicating through words, sound and body language Why people behave and communicate differently and how to recognise and adapt to their style What someone's natural behavioural style means when it comes to making decisions How to increase sales through better and more personalised communication How to engage better with audiences of all sizes when presenting

Workshop is designed to support participants in using the Six Stages Framework in Board development and Diversity, Equity and Inclusion

Duration 5 Days 30 CPD hours This course is intended for Software Engineers Mobile Developers Overview The training is geared to build essential skills to develop professional applications for iOS 8.0 devices. The complete hands-on course will be delivered using Xcode 6. The 2 days of Objective-C and Swift training, at the start of the course is designed to allow developers , with a non-Objective C background, to jumpstart into iOS application development. The training is intended to lay a solid foundation in Apple's new programming language - Swift for development of next-generation iOS applications. The training is intended to lay a solid foundation in Apple's new programming language - Swift for development of next-generation iOS applications.

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