5515 Productivity courses delivered Online

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 basic course is intended for anyone who requires basic AIX/UNIX user skills to be able to work in an AIX environment. This course is also a prerequisite for many courses in the AIX Systems Administration curriculum. Overview Log in to an AIX system and set a user password Use AIX online documentation Manage AIX files and directories Describe the purpose of the shell Use the vi editor Execute common AIX commands and manage AIX processes Customize the working environment Use common AIX utilities Write simple shell scripts Use the AIXWindows Environment Use the Common Desktop Environment This course enables you to perform everyday tasks using the AIX operating system. Day 1 Introduction to AIX Using the System AIX Documentation Files and Directories Using Files Day 2 File Permissions The vi Editor Shell Basics Using Shell Variables Day 3 Processes Controlling Processes Customizing the User Environment AIX Utilities, Part I AIX Utilities, Part I (Continued) AIX Utilities, Part II Day 4 AIX Utilities, Part II (Continued) Additional Shell Features The AIX Graphical User Interface

Duration 4 Days 24 CPD hours This course is intended for This course is appropriate for anyone who wants to create applications or modules to automate and simplify common tasks with Perl. Overview Working within in an engaging, hands-on learning environment, guided by our expert web development, PHP practitioner, students will learn to: Create a working script that gets input from the command line, the keyboard, or a file Use arrays to store and process data from files Create formatted reports Use regular expressions Use the appropriate types of variables and data structures Refactor duplicate code into subroutines and modules What is available in the standard library Use shortcuts and defaults, and what they replace Introduction to Perl Programming Essentials is an Introductory-level practical, hands-on Perl scripting training course that guides the students from the basics of writing and running Perl scripts to using more advanced features such as file operations, report writing, the use of regular expressions, working with binary data files, and using the extensive functionality of the standard Perl library. Students will immediately be able to use Perl to complete tasks in the real world. Session: An Overview of Perl What is Perl? Perl is compiled and interpreted Perl Advantages and Disadvantages Downloading and Installing Perl Which version of Perl Getting Help Session: Creating and running Perl Programs Structure of a Perl program Running a Perl script Checking syntax and warnings Execution of scripts under Unix and Windows Session: Basic Data and I/O Numeric and Text literals Math operators and expressions Scalar variables Default values Writing to standard output Command line arguments Reading from the standard input Session: Logic and Loops About flow control The if statement and Boolean values Using unless and elsif Statement modifiers warn() and die() The conditional construct Using while loop and its variants Using the for loop Exiting from loops Session: Lists and Arrays The list data type Accessing array elements Creating arrays List interpolation Arrays and memory Counting elements Iterating through an array List evaluation Slices and ranges Session: Reading and writing text files File I/O Overview Opening a file Reading text files Writing to a text file Arrays and file I/O Using the <> operator Session: List functions Growing and shrinking arrays The split() function Splitting on whitespace Assigning to literal lists The join() function The sort() function Alternate sort keys Reversing an array Session: Formatting output Using sprintf() and printf() Report formatting overview Defining report formats The write() function Advanced filehandle magic Session: Hashes Hash overview Creating hashes Hash attributes Traversing a hash Testing for existence of elements Deleting hash elements Session: References What is a reference? The two ways to create references References to existing data References to anonymous data Dereferencing scalar, array, and ash references Dereferencing elements of arrays and hashes Multidimensional arrays and other data structures Session: Text and Regular Expressions String length The substr() function The index() and rindex() functions String replication Pattern matching and substitution Regular expressions Session: Raw file and data access Opening and closing raw (binary) files Reading raw data Using seek() and tell() Writing raw data Raw data manipulation with pack() and unpack() Session: Subroutines and variable scope Understanding packages Package and Lexical variables Localizing builtin variables Declaring and calling subroutines Calling subroutines Passing parameters and returning values Session: Working with the operating system Determining current OS Environment variables Running external programs User identification Trapping signals File test operators Working with files Time of day Session: Shortcuts and defaults Understanding $_ shift() with no array specified Text file processing Using grep() and Using map() Command-line options for file processing Session: Data wrangling Quoting in Perl Evaluating arrays Understanding qw( ) Getting more out of the <> operator Read ranges of lines Using m//g in scalar context The /o modifier Working with embedded newlines Making REs more readable Perl data conversion Session: Using the Perl Library The Perl library Old-style library files Perl modules Modules bundled with Perl A selection of modules Getting modules from ActiveState Getting modules from CPAN Using Getopt::Long Session: Some Useful Tools Sending and receiving files with Net::FTP Using File::Find to search for files and directories Grabbing a Web page Some good places to find scripts Perl man pages for more information Zipping and unzipping files

Diploma in Translation Techniques Level 1 Explore the Translation Basics, master various Translation Techniques and Approaches, and acquire the Skills of a Good Translator. Delve into the fascinating world of Speech and Language Therapy in Translation, and learn the art of Proofreading and Quality Assurance in Translation. Finally, discover the latest Technology and Tools for Translation, equipping yourself with the skills needed for success in the field. Learning Outcomes: Explain the fundamentals of translation and its importance. Apply various translation techniques and approaches effectively. Demonstrate the skills required to be a proficient translator. Integrate speech and language therapy concepts into translation. Utilize proofreading and quality assurance methods in translation. Employ technology and tools for efficient and accurate translation. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Diploma in Translation Techniques Level 1 Course Syllabus Translation Basics: Develop a solid foundation in the fundamental principles and concepts of translation, including its role in bridging language and culture. Translation Techniques and Approaches: Explore various translation techniques and approaches, such as literal vs. idiomatic translation, to effectively convey meaning across languages. Skills of a Good Translator: Acquire essential skills required for becoming a proficient translator, including linguistic competence, research skills, and cultural sensitivity. Speech and Language Therapy in Translation: Understand the application of speech and language therapy concepts in translation, particularly when working with specialized or medical texts. Proofreading and Quality Assurance in Translation: Learn how to meticulously proofread translated texts and implement quality assurance processes to ensure accuracy and coherence. Technology and Tools for Translation: Familiarize yourself with modern translation technologies and tools, including computer-assisted translation (CAT) software, to enhance translation efficiency and consistency.

Microsoft Office Foundation with Minute Taking Masterclass Unlock your potential in office management with the Microsoft Office 7 courses bundle Foundation with Minute Taking Masterclass. Sharpen your Microsoft Office skills with this bundle and become a minute-taking pro. Equip yourself with the Microsoft Office expertise every employer values. Learning Outcomes: Navigate the Excel Interface 2023 using Microsoft Office features. Apply formatting to modern documents through Microsoft Office tools. Develop presentations using Microsoft Office Power Point. Operate Microsoft Access & Database proficiently. Prepare for minute-taking using Microsoft Office utilities. Record meeting decisions and actions effectively. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Key Modules from Microsoft Office Foundation with Minute Taking Masterclass: Excel Interface 2023: Master the intricacies of Excel 2023 to elevate your Microsoft Office proficiency. Formatting Text of a Modern Document: Learn advanced text formatting techniques using Microsoft Office features. Setting up and Managing Presentations: Set up and manage compelling presentations leveraging Microsoft Office tools. Microsoft Access & Database: Gain hands-on experience in Microsoft Access & Database as part of your Microsoft Office skillset. Preparation for Minute Taking: Prepare for efficient minute-taking through the utilisation of Microsoft Office features. Minute Meeting, Decision and Action: Execute accurate minute meeting documentation, decision-making, and action-planning.

Unlock the full potential of Excel with our Spreadsheet Training Course. From basic functions to advanced techniques, learn how to navigate and utilize Excel effectively for data analysis, reporting, and organization. Whether you're a beginner or looking to enhance your skills, this course provides hands-on training to help you become proficient in Excel. Enroll now and excel in spreadsheet management, boosting your productivity and efficiency in any professional setting.

Duration 5 Days 30 CPD hours This course is intended for Application DevelopersWeb AdministratorDeveloperProject ManagerSystem AdministratorTechnical AdministratorTechnical ConsultantTeam Leader Overview Write Java code that uses variables, arrays, conditional and loop constructsManipulate primitive numeric data and string data using Java operatorsCreate Java classes and use object referencesAccess the fields and methods of an objectManipulate text data using the methods of the String and StringBuilder classesUse casting without losing precision or causing errorsDeclare, override, and invoke methodsAccess and create static fields and methodsUse classes from the java.time and java.time.format packages to format and print the local date and timeEncapsulate a class using access modifiers and overloaded constructorsDefine and implement a simple class hierarchyDemonstrate polymorphism by implementing a Java InterfaceUse a Predicate Lambda expression as the argument to a methodHandle a checked exception in a Java application This Java SE 8 Fundamentals training introduces you to object-oriented programming using the Java language. Through hands-on exercises, you'll begin to build a baseline of knowledge to propel your career in development. This Java SE 8 Fundamentals training introduces you to object-oriented programming using the Java language. Through hands-on exercises, you'll begin to build a baseline of knowledge to propel your career in development. Additional course details: Nexus Humans Java SE 8 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 Java SE 8 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 5 Days 30 CPD hours This course is intended for This course is intended for individuals who are Java programmers and have worked with databases and with object-oriented programming techniques, who are now ready to create more complex and advanced programs using Java SE 7. Overview Upon successful completion of this course, students will be able to: - create and manage custom classes. - control program flow by writing code to respond to specific criteria. - implement object-oriented programming techniques to create reusable and reliable programs. - work with Java utility class libraries. - use the capabilities of the Java I/O package to read and write data to external files or media. - use collection APIs in Java to manage data. - use generics to enforce compile-time type checking. - use multi-threaded programs to help handle multiple tasks concurrently. - manage Java applications for memory efficiency and create distributable versions of a Java application. Students will work with advanced features of Java. Working with Classes Create Classes Create Variables Write an Expression Work with Arrays Work with Static Class Members Define Methods Use Enumerated Data Types Controlling Program Flow Work with Conditional Statements Work with Looping Statements Handle Exceptions Handle Chained Exceptions Write and Enable Assertions Implementing Object-Oriented Programming Concepts Extend a Class Overload and Override Methods Work with Interfaces Create Inner Classes Examine Object-Oriented Design Concepts Working with Java Utility Class Libraries Work with Strings Format and Parse Strings Work with Dates, Numbers, and Currencies Using the Java I/O Package Work with the File Class Work with Byte Streams Work with Character Streams Read Files Write to a File Manipulate I/O Objects Using Collections Work with the Collection Interface Work with the Set Collection Work with List Collections Work with Queues Work with the Map Collection Work with Collection Utilities Working with Generics Declare Generics Implement Generics Using Multi-Threaded Programs Create a Multi-Threaded Program Synchronize Threads Managing Java Applications Implement Garbage Collection Deploy a Java Application Additional course details: Nexus Humans Java Programming (Java SE 7) 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 Java Programming (Java SE 7) 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 3 Days 18 CPD hours This course is intended for Java Fundamentals is designed for tech enthusiasts who are familiar with some programming languages and want a quick introduction to the most important principles of Java. Overview After completing this course, you will be able to: Create and run Java programs Use data types, data structures, and control flow in your code Implement best practices while creating objects Work with constructors and inheritance Understand advanced data structures to organize and store data Employ generics for stronger check-types during compilation Learn to handle exceptions in your code Since its inception, Java has stormed the programming world. Its features and functionalities provide developers with the tools needed to write robust cross-platform applications. Java Fundamentals introduces you to these tools and functionalities that will enable you to create Java programs. The course begins with an introduction to the language, its philosophy, and evolution over time, until the latest release. You'll learn how the javac/java tools work and what Java packages are - the way a Java program is usually organized. Once you are comfortable with this, you'll be introduced to advanced concepts of the language, such as control flow keywords. You'll explore object-oriented programming and the part it plays in making Java what it is. In the concluding lessons, you'll be familiarized with classes, typecasting, and interfaces, and understand the use of data structures, arrays, strings, handling exceptions, and creating generics. Introduction to Java The Java Ecosystem Our First Java Application Packages Variables, Data Types, and Operators Variables and Data Types Integral Data Types Type casting Control Flow Conditional Statements Looping Constructs Object-Oriented Programming Object-Oriented Principles Classes and Objects Constructors The this Keyword Inheritance Overloading Constructor Overloading Polymorphism and Overriding Annotations References OOP in Depth Interfaces Typecasting The Object Class Autoboxing and Unboxing Abstract Classes and Methods Data Structures, Arrays, and Strings Data Structures and Algorithms Strings The Java Collections Framework and Generics Reading Data from Files The Java Collections Framework Generics Collection Advanced Data Structures in Java Implementing a Custom Linked List Implementing Binary Search Tree Enumerations Set and Uniqueness in Set Exception Handling Motivation behind Exceptions Exception Sources Exception Mechanics Best Practices

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