715 Courses in Coventry delivered Live Online

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

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

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 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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“Meaning-Fullness” critiques traditional psychiatric diagnosis, advocating for an existential/phenomenological approach to mental health. We aim to explore the lived experiences on irregular perceptions of reality with an open mind. Each Saturday includes: a live dialogue between Prof. Ernesto Spinelli and an International Existential Therapist; a moment to share your thoughts and feelings with the teachers; and a final integration facilitated by Bárbara Godoy. This series of ten dialogues set out to explore the multifaceted dimentions and complexities associated with Existential Therapies. It attempts to engage with various interpretations of insanity through the lens of patients often painful, confounding, and deeply unsettling life experiences. Meaning- between Prof. Ernesto Spinelli and Dr. Jan Resnick “Meaning-Fullness aims to develop an alternative approach to traditional psychiatric diagnosis of psychopathology through an understanding of the existential vacuum and a phenomenology of language and the body. There is a growing epidemic of mental un-wellness even though there has never been so many psychiatrists and psychologists available. This contradiction demonstrates how a bio-medical approach is far too limited at best and a radical mistake, at worst. Through the use of theory, philosophical discussion and case studies, Meaning-Fullness seeks to elaborate how mental disturbance and emotional suffering, traumatic and dissociative experience, emptiness and meaninglessness, can be understood differently and then worked with in psychotherapy. When an existential/phenomenological perspective informs the therapeutic relationship, terms like treatment, healing, cure, recovery, growth and development, can be seen in a different light from the standard narratives and take on a wholly different meaning.” Dr. Jan Resnick. Dr. Jan Resnick is a senior psychotherapist, supervisor, and author. He has a PhD in Psychology (Psychoanalysis). As founder and Director of Training, he ran a Nationally Recognized and Accredited Registered Training Organisation called The Churchill Clinic for 18 years which became the largest such organisation in Australia for conferring post-graduate qualifications for training Psychoanalytic Psychotherapists. He was the Founding President of the Psychotherapists & Counsellors Association of Western Australia where he later received an Outstanding Achievement Award after serving 10 years on the Management Committee. He was an Editorial Advisory Board Member of the national journal Psychotherapy in Australia for 20 years and currently, an Advisory Board member of Blue Knot Foundation (formerly ASCA – Adult Survivors of Child Abuse). He is accredited by the Royal Australian New Zealand College of Psychiatrists to supervise psychiatry registrars in psychotherapy and has taught in the Advanced Psychotherapy Training Program. He has presented at many conferences including last year in Valencia, Spain for the International Association for Relational Psychotherapy and Psychoanalysis, also for the Mental Health Practitioners Network of Australia, and 3 times for the RANZCP Psychotherapy Section bi-national conference. He runs a supervision group for Psychiatrists practicing psychotherapy for the past 15 years and supervises Developmental Paediatricians at the State Child Development Centre in West Perth. He has presided over 4 mental health charities and has over 100 publications including two books. His book based on his clinical work as a couples’ therapist is How Two Love, Making your Relationship Work and Last. His latest book published by Karnac Books (Oxford) is called Meaning-Fullness, Developmental Psychotherapy and the Pursuit of Mental Health, an existential/phenomenological and relational approach based on his clinical work over more than 47 years. Prof. Ernesto Spinelli was Chair of the Society for Existential Analysis between 1993 and 1999 and is a Life Member of the Society. His writings, lectures and seminars focus on the application of existential phenomenology to the arenas of therapy, supervision, psychology, and executive coaching. He is a Fellow of the British Psychological Society (BPS) as well as an APECS accredited executive coach and coaching supervisor. In 2000, he was the Recipient of BPS Division of Counselling Psychology Award for Outstanding Contribution to the Profession. And in 2019, Ernesto received the BPS Award for Distinguished Contribution to Practice. His most recent book, Practising Existential Therapy: The Relational World 2nd edition (Sage, 2015) has been widely praised as a major contribution to the advancement of existential theory and practice. Living up to the existential dictum that life is absurd, Ernesto is also the author of an on-going series of Private Eye novels. Date and Time: Saturday 19 July from 2 pm to 3 pm – (UK time) Individual Dialogue Fee: £70 Venue: Online Zoom FULL PROGRAMME 2025: 25 January “Knots” with Prof. Ernesto Spinelli and Bárbara Godoy 22 February “Healing” with Dr. Michael Guy Thompson and Prof. Ernesto Spinelli 22 March “Difference” with Prof. Tod DuBose and Prof. Ernesto Spinelli 12 April “Polarisation” with Prof. Kirk Schneider and Prof. Ernesto Spinelli 3 May “Character” with Prof. Robert Romanyshyn and Prof. Ernesto Spinelli 21 June “Opening” with Dr. Yaqui Martinez and Prof. Ernesto Spinelli 19 July “Meaning” with Dr. Jan Resnick and Prof. Ernesto Spinelli 25 October “Invention” with Dr. Betty Cannon and Prof. Ernesto Spinelli 15 November “Hallucination” with Prof. Simon du Plock and Prof. Ernesto Spinelli 13 December “Hysteria” with Bárbara Godoy and Prof. Ernesto Spinelli Read the full programme here > Course Organised by:

Give your staff market-leading delivery skills and intercultural communication techniques with our unique course. TILT has been delivered to military and commercial clients and is seen as best-practice for those training internationally.

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Duration 3 Days 18 CPD hours This course is intended for This is an introductory- level course appropriate for those who are developing applications using relational databases, or who are using SQL to extract and analyze data from databases and need to use the full power of SQL queries. Overview This course combines expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our expert practitioner, attendees will learn to: Maximize the potential of SQL to build powerful, complex and robust SQL queries Query multiple tables with inner joins, outer joins and self joins Construct recursive common table expressions Summarize data using aggregation and grouping Execute analytic functions to calculate ranks Build simple and correlated subqueries Thoroughly test SQL queries to avoid common errors Select the most efficient solution to complex SQL problems A company?s success hinges on responsible, accurate database management. Organizations rely on highly available data to complete all sorts of tasks, from creating marketing reports and invoicing customers to setting financial goals. Data professionals like analysts, developers and architects are tasked with creating, optimizing, managing and analyzing data from databases ? with little room for error. When databases aren?t built or maintained correctly, it?s easy to mishandle or lose valuable data. Our SQL Programming and Database Training Series provides students with the skills they require to develop, analyze and maintain data and in correctly structured, modern and secure databases. SQL is the cornerstone of all relational database operations. In this hands-on course, you learn to exploit the full potential of the SELECT statement to write robust queries using the best query method for your application, test your queries, and avoid common errors and pitfalls. It also teaches alternative solutions to given problems, enabling you to choose the most efficient solution in each situation. Introduction: Quick Tools Review Introduction to SQL and its development environments Using SQL*PLUS Using SQL Developer Using the SQL SELECT Statement Capabilities of the SELECT statement Arithmetic expressions and NULL values in the SELECT statement Column aliases Use of concatenation operator, literal character strings, alternative quote operator, and the DISTINCT keyword Use of the DESCRIBE command Restricting and Sorting Data Limiting the Rows Rules of precedence for operators in an expression Substitution Variables Using the DEFINE and VERIFY command Single-Row Functions Describe the differences between single row and multiple row functions Manipulate strings with character function in the SELECT and WHERE clauses Manipulate numbers with the ROUND, TRUNC and MOD functions Perform arithmetic with date data Manipulate dates with the date functions Conversion Functions and Expressions Describe implicit and explicit data type conversion Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions Nest multiple functions Apply the NVL, NULLIF, and COALESCE functions to data Decode/Case Statements Using the Group Functions and Aggregated Data Group Functions Creating Groups of Data Having Clause Cube/Rollup Clause SQL Joins and Join Types Introduction to JOINS Types of Joins Natural join Self-join Non equijoins OUTER join Using Subqueries Introduction to Subqueries Single Row Subqueries Multiple Row Subqueries Using the SET Operators Set Operators UNION and UNION ALL operator INTERSECT operator MINUS operator Matching the SELECT statements Using Data Manipulation Language (DML) statements Data Manipulation Language Database Transactions Insert Update Delete Merge Using Data Definition Language (DDL) Data Definition Language Create Alter Drop Data Dictionary Views Introduction to Data Dictionary Describe the Data Dictionary Structure Using the Data Dictionary views Querying the Data Dictionary Views Dynamic Performance Views Creating Sequences, Synonyms, Indexes Creating sequences Creating synonyms Creating indexes Index Types Creating Views Creating Views Altering Views Replacing Views Managing Schema Objects Managing constraints Creating and using temporary tables Creating and using external tables Retrieving Data Using Subqueries Retrieving Data by Using a Subquery as Source Working with Multiple-Column subqueries Correlated Subqueries Non-Correlated Subqueries Using Subqueries to Manipulate Data Using the Check Option Subqueries in Updates and Deletes In-line Views Data Control Language (DCL) System privileges Creating a role Object privileges Revoking object privileges Manipulating Data Overview of the Explicit Default Feature Using multitable INSERTs Using the MERGE statement Tracking Changes in Data

A life without anxiety can be yours with our bespoke blend of clinical hypnotherapy and advanced NLP therapy techniques. Start with a free online Q&A session. Start enjoying a life free from anxiety