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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 4 Days 24 CPD hours This course is intended for This is an introductory-level Java programming course, designed for experienced developers who wish to get up and running with Java, or who need to reinforce sound Java coding practices, immediately. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand not only the fundamentals of the Java language, but also its importance, uses, strengths and weaknesses Understand the basics of the Java language and how it relates to OO programming and the Object Model Learn to use Java exception handling features Work with the Modular system (Project Jigsaw) Understand and use classes, inheritance and polymorphism Understand and use collections, generics, autoboxing, and enumerations Process large amount of data using Lambda expressions and the Stream API Abstract, static and private methods in interfaces Take advantage of the Java tooling that is available with the programming environment being used in the class Specific Java 11 features covered: Using the Local Variable Type in Lambda expressions; Updates made to the String AP Time Permitting: Quick look ahead - Java 12, Java 13, Java 14 and Beyond If you're an experienced OO developer (coming from a C# or C++ background, etc.) who needs to transition to programming in Java, this fast-paced, hands-on course will get you there quickly. Fast Track to Java Programming for OO Experienced Developers is a four-day, lab-intensive class where you'll quickly be immersed in working with the latest Java 11 programming techniques, using best practices for writing solid, robust (and well-written!) modern object-oriented applications. In addition to learning excellent, current coding skills in Java, you'll explore the new improved features for better performance and new capabilities for addressing rapid application development that Java 11 brings to the table. This course includes several key aspects that were introduced in Java 9, Java 10, and Java 11 including the Java Modular System, Local Variable Type Inference, and several API updates. This course also includes a Quick Look at what?s next in Java ? Java 12, Java 13, Java 14 and beyond. The Java Platform Java Platforms Lifecycle of a Java Program Responsibilities of JVM Documentation and Code Reuse Using the JDK Setting Up Environment Locating Class Files Compiling Package Classes Source and Class Files Java Applications The Eclipse Paradigm Workbench and Workspace Views Editors Perspectives Projects Writing a Simple Class Classes in Java Class Modifiers and Types Class Instance Variables Primitives vs. Object References Creating Objects Adding Methods to the Class Passing Parameters into Methods Returning a Value from a Method Overloaded Methods Constructors Optimizing Constructor Usage Language Statements Operators Comparison and Logical Operators Looping Continue and Break Statements The switch Statement The for-each() Loop Using Strings Create an instance of the String class Test if two strings are equal Get the length of a string Parse a string for its token components Perform a case-insensitive equality test Build up a string using StringBuffer Contrast String, StringBuffer, and StringBuilder Specializing in a Subclass Extending a Class Casting The Object Class Default Constructor Implicit Constructor Chaining Fields and Variables Instance vs. Local Variables: Usage Differences Data Types Default Values Block Scoping Rules Final and Static Fields Static Methods Using Arrays Arrays Accessing the Array Multidimensional Arrays Copying Arrays Variable Arguments Local-Variable Type Inference Type inference Infering Types of Local Variables The var Reserved Type name Benefits of Using var Backward Compatibility Java Packages and Visibility Class Location of Packages The Package Keyword Importing Classes Executing Programs Visibility in the Modular System Java Naming Conventions Inheritance and Polymorphism Polymorphism: The Subclasses Upcasting vs. Downcasting Calling Superclass Methods from Subclass The final Keyword Interfaces and Abstract Classes Separating Capability from Implementation Abstract Classes Implementing an Interface Abstract Classes vs. Interfaces Introduction to Exception Handling Exception Architecture Throwing Exceptions Checked vs. Unchecked Exceptions Exceptions Handling Multiple Exceptions Automatic Closure of Resources Creating Your Own Exceptions Utility Classes Wrapper Classes Autoboxing/Unboxing Enumeration Syntax Using Static imports Introduction to Generics Generics and Subtyping Bounded Wildcards Generic Methods Legacy Calls to Generics When Generics Should Be Used Lambda Expressions and Functional Interface Lambda Expression Syntax Functional Interfaces Type Inference in Java 8 Method references Collections Characterizing Collections Collection Interface Hierarchy The Set, List and Queue Interfaces Map Interfaces Using Collections Collection Sorting Comparators Using the Right Collection Lambda expressions in Collections Streams Processing Collections of data The Stream interface Reduction and Parallelism Filtering collection data Sorting Collection data Map collection data Find elements in Stream Numeric Streams Create infinite Streams Sources for using Streams Collectors Creating Collections from a Stream Group elements in the Stream Multi-level grouping of elements Partitioning Streams Introduction to the Module System Introduce Project Jigsaw Classpath and Encapsulation The JDK internal APIs Java 9 Platform modules Defining application modules Define module dependencies Implicit dependencies Implied Readability Exporting packages Java Date/Time The Date and Calendar classes Introduce the new Date/Time API LocalDate, LocalDateTime, etc. Formatting Dates Working with time zones Manipulate date/time values Java 12 and beyond Provide an overview of changes since Java 11 Introduce Preview Features Records (Java 14) Switch Expressions (Java 12, Java 13, Java 14) Text Blocks (Java 13, Java 14) Helpful NullPointerExceptions (Java 14) Pattern Matching for instanceof (Java 14) Additional course details: Nexus Humans Fast Track to Core Java Programming for Object Oriented Developers (TT2104-J11) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Fast Track to Core Java Programming for Object Oriented Developers (TT2104-J11) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for The target audience for this textbook is all Oracle professionals, both business and systems professionals. Among the specific groups for whom this textbook will be helpful are: ? Business and non-IT professionals ? Application designers and database developers ? Business Intelligence (BI) analysts and consumers ? Database administrators ? Web server administrators Overview The first portion of this textbook considers the logical models upon which a relational database is based and the various configurations and environments in which you may work with the Oracle database. The next segment focuses on the actual SQL syntax for writing database queries. You will begin with the simplest of queries and then proceed onto moderately complex query scenarios. Finally, this textbook covers the DDL, DML and transaction control portions of the SQL language that allow one to create, maintain and manipulate application database objects and application data. This textbook takes a unique approach to SQL training in that it incorporates data modeling theory, relational database theory, graphical depictions of theoretical concepts and numerous examples of actual SQL syntax into one learning vehicle. Relational Databases & Data Models About Data Models About the Relational Model The Electronics Data Model About the Relational DBMS 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 Using the Database Interface About Bind & Substitution Variables Using SQL Developer Using SQL*Plus Introduction to the SQL Language About the SQL Language Characteristics of SQL Introducing SQL Using Select SQL Rules The Select Statement The Select Statement Distinct/Unique Keyword Using Alias Names Restricting Results with the Where Clause About Logical Operators Equality Operator Boolean Operators REGEXP_LIKE() In Operator Sorting Data with the Order By Clause About the Order by Clause Multiple Column Sorts Specify the Sort Sequence About Null Values within Sorts Using Column Aliases Pseudo Columns, Functions & Top-N Queries Rowid Pseudo Column ORA_ROWSCN PSEUDO Column ROWNUM Pseudo Column About the Built-In Functions SYSDATE User & UID SESSIONTIMEZONE Function Using the Dual Table Row Limiting & Top-N Queries FETCH First x Rows Only Clause OFFSET x Rows Clause FETCH?PERCENT Clause The WITH TIES Option Joining Tables About Joins Inner Joins Reflexive Join Non-Key Join Outer Join Using the Set Operators About the Set Operators SQL Set Operator Examples UNION Example INTERECT Example MINUS Example UNION All Summary Functions Using Sub-Queries Finding Data with Sub-Queries Standard Sub-Queries Correlated Sub-Queries The EXISTS Operator Aggregating Data within Groups About Summary Groups Find Groups within the Tables Select Data From the Base Tables Select Groups from the Results Use DDL to Create & Manage Tables Create Table Statement Column Data Types Not Null Default Describe Alter Table Statement Drop Table Statement Table DDL Using SQL Developer Alter User Statement Alter Session Statement NLS_Language NLS_Date Use DML to Manipulate Data The Insert Statement The Delete Statement The Update Statement About Transactions Transaction Rollback Transaction Commit Transaction Savepoint The Set Transaction Statement Set Transaction Read Only Statement Rules Understanding the Data Models The Company Data Model The Electronics Data Model About the SQL-99 Standard SQL-92 & SQL-99 Cross Joins Natural Joins Inner Joins Implicit Inner Join Outer Joins Anti Joins Named Sub-Queries Enhancing Groups with Rollup & Cube Using Rollup The Grouping() Function Using Cube SQL Functions: Character Handling What are the SQL Functions? String Formatting Functions UPPER(), LOWER() Example INITCAP() Example Character Codes Functions CHR((), ASCII() Examples PAD & TRIM Functions RPAD() Example RTRIM() Example TRIM() Example String Manipulation Functions DECODE () Example SUBSTR() Example INSTR() Example TRANSLATE() Example REPLACE() Example String Comparison Functions LEAST() Example Phonetic Search Function SOUNDEX() Example SQL Functions: Numeric Handling About the Numeric Data Functions GREATEST() Example ABS() Example ROUND() Example TRUNC() Example SIGN() Example TO_NUMBER() Example & Data ype Conversions NULL VALUES FUNCTIONS NVL() & NVL2() Function NVL() Example (Character) NVL() Example (Numeric Loss of Data) NVL() Example (Numeric Output) NVL2() Example COALESCE() Function NULLIF() Function SQL Functions: Date Handling Date Formatting Functions TO_CHAR() & TO_DATE() Format Patterns TO_CHAR() Examples TO_DATE() Examples EXTRACT() Example Date Arithmetic Functions MONTHS_BETWEEN() Example ADD_MONTHS() Example LAST_DAY() Example NEXT_DAY() Example TRUNC(), ROUND() Dates Example NEW_ TIME() Example About V$TIMEZONE_NAMES CAST() FUNCTION & TIME ZONES Database Objects: About Database Objects About Database Objects About Schemas Making Object References Database Objects: Relational Views About Relations Views The Create View Statement Why Use Views? Accessing Views with DML Maintaining View Definitions Alter View Drop View DDL Using SQL Developer Database Objects: Indexes About Indexes Create & Drop Index Statements Indexes & Performance Data Dictionary Storage Database Objects: Creating Other Objects About Sequences Referencing NEXTVAL Referencing CURRVAL Within the DEFAULT Clause Alter Sequence & Drop Sequence ALTER SEQUENCE DROP SEQUENCE About Identity Columns CREATE TABLE?GENERATED AS IDENTITY ALTER TABLE?GENERATED AS IDENTITY Start With Limit Value ALTER TABLE...DROP IDENTITY About Synonyms CREATE & DROP SYNONYM Statements CREATE SYNONYM DROP SYNONYM Public Vs Private Synonyms CREATE SCHEMA AUTHORIZATION Database Objects: Object Management Using DDL The RENAME Statement TABLESPACE Placement CREATE TABLE?TABLESPACE The Comment Statement The TRUNCATE TABLE Statement Database Objects: Security About Object Security Grant Object Privileges Revoke Object Privileges Object Privileges & SQL Developer Data Integrity Using Constraints About Constraints NOT NULL Constraint NOT NULL Example CHECK Constraint UNIQUE Constraint PRIMARY KEY Constraint REFERENCES Constraint ON DELETE CASCADE Example ON DELETE SET NULL Example Constraints on Existing Tables Constraints & SQL Developer Managing Constraint Definitions RENAMING & DROPPING Constraints ENABLING & DISABLING Constraints DEFERRED Constraint Enforcement SET CONSTRAINTS Handling Constraint Exceptions Constraints with Views DATA Dictionary Storage The Data Dictionary Structure More About the Data Dictionary OBJECT-SPECIFIC Dictionary Views USER_UPDATABLE_COLUMNS The Dictionary Structure METADATA & SQL Developer Additional course details: Nexus Humans Oracle 12c SQL Fundamentals training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Oracle 12c SQL Fundamentals course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 0.5 Days 3 CPD hours This course is intended for This course is designed for students who have experience using the Windows 10 operating system and need to start using the Windows 11 operating system. Overview In this course, you will use the new and updated features of Windows 11. You will: Navigate the Windows environment. Use apps available in Windows 11. Manage available apps. Configure Windows 11 settings. As an experienced Windows© 10 user, when you are ready to move to Windows 11, you might like some guidance in using the new and updated features. This course will help you identify and use those features efficiently and effectively. Navigating the Windows 11 Environment Topic A: Log in to Windows 11 Topic B: Use the Start Menu Topic C: Use the Taskbar Using Apps Topic A: Use Built-In Apps Topic B: Use the Updated File Explorer Managing Apps Topic A: Use Virtual Desktops Topic B: Obtain Apps from the Microsoft Store Configuring Windows 11 Settings Topic A: Use the Configuration Apps Topic B: Configure Accessibility Features

Overview This 2-day programme covers the latest techniques used for fixed income attribution. This hands-on course enables participants to get a practical working experience of fixed income attribution, from planning to implementation and analysis. After completing the course you will have developed the skills to: Understand how attribution works and the value it adds to the investment process Interpret attribution reports from commercial systems Assess the strengths and weaknesses of commercially available attribution software Make informed decisions about the build vs. buy decision Present results in terms accessible to all parts of the business Who the course is for Performance analysts Fund and portfolio managers Investment officers Fixed Income professionals (marketing/sales) Auditors and compliance Quants and IT developers Course Content To learn more about the day by day course content please click here To learn more about schedule, pricing & delivery options, book a meeting with a course specialist now

This one-day workshop is designed to give participants an understanding of the fundamentals of Microsoft Word and its commands, with quick ways to enter text, control formatting and edit paragraphs. This course will help participants: Create, manage and save documents, files and folders Create paragraph lists, bulleted and numbered paragraphs Edit, modify and format paragraphs Create and format tables Use shortcuts to navigate documents Format the layout of documents Manage page headers and footers Insert and managing pictures and diagrams within a document Learn time saving tips and tricks to obtain a professional finish to documents Use printing options 1 Creating documents Getting help Creating and saving documents Accessing recently used documents Managing files and folders 2 Entering and editing text Inserting and editing paragraph text Cutting, copying and pasting text Using tool tips to manage content Applying and removing text formatting Correcting spelling and grammar 3 Creating paragraph lists Creating bulleted paragraphs Creating numbered paragraphs Managing bulleted and numbered lists 4 Modifying paragraphs Changing paragraph alignment Indenting a paragraph Adding borders and shading to paragraphs Formatting paragraphs using styles 5 Navigating documents Using shortcuts for navigating documents Using 'Go To' to navigate documents Finding and replacing text Changing to read view 6 Document layout Inserting page breaks Changing page orientation Adjusting page margins Adding borders to pages 7 Page headers and footers Inserting page headers and footers Using header and footer commands Inserting page numbers Using different first page 8 Inserting pictures and diagrams Inserting pictures from your computer Inserting online pictures Flowing text around a picture Changing a picture Inserting SmartArt diagrams Entering text into SmartArt 9 Inserting tables Using tabs to create tables Resizing and repositioning tables Inserting and deleting rows and columns Using a table's commands Changing a tables text direction Formatting tables 10 Printing documents Previewing and printing documents Using the printing tools Printing parts of a document

This course will explore ways to support and enhance the quality of care provided to the individual approaching end of life, their families and their carers.

The Positive Psychology course to explore core values, shape a profound vision and create an actionable plan for your best life.

Are you interested in enrolling on an Online (Distance) Learning Degree at Arts University Plymouth, but curious about how virtually attending an Arts University works? If so, join us online for our Free 3-Session Online Learning Taster Course. An introduction to our January-start degrees. This course has been designed to give you a taste of what it is like to study with us virtually, as well as giving you tailored support for your university application. You will get a virtual art university experience, and a chance to meet some of the lecturers for the subjects you are interested in studying.

Tuition centres play a crucial role in adapting their teaching methods to cater to individual learning styles. By understanding each student’s unique needs and preferences.