730 Software Development courses delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for Technology ConsultantSystem AdministratorSystem ArchitectHelp Desk / COE Support Overview Explain the architecture of SAP NetWeaver AS JavaStart and stop SAP NetWeaver AS JavaCarry out basic configurations for SAP NetWeaver AS JavaClassify network security conceptsSet up SSL encryption for SAP NetWeaver AS JavaExplain the architecture of the User Management EngineConfigure the User Management EngineCarry out user and authorization maintenanceUnderstand and change the standard logon procedure of SAP NetWeaver AS JavaMaintain destinations and the JCo RFC ProviderUnderstand the architecture and the tasks of the SAP NetWeaver Development InfrastructureExplain the process flow of the development process using the SAP NetWeaver Development InfrastructureSpecify the options for monitoring SAP NetWeaver AS JavaConnect SAP NetWeaver AS Java to a central Monitoring systemDisplay Monitoring and logging data using the SAP NetWeaver AdministratorImplement corrections for SAP NetWeaver AS Java In this course, students learn how to explain the architecture of SAP NetWeaver AS Java, carry out basic configurations for SAP NetWeaver AS Java, and much more. Fundamental Concepts of Java Describing the Fundamental Concepts of Java Describing the Architecture of the SAP NetWeaver Application Server (SAP NetWeaver AS) Outlining the Java Cluster Architecture Describing the Internal Structure of SAP NetWeaver AS for Java SAP NetWeavear AS for Java Start and Stop Procedures Starting and Stopping Procedures in SAP NetWeaver AS for Java Evaluating the Tools for Starting and Stopping an SAP System Evaluating Load Balancing Options in SAP NetWeaver AS for Java Operating the Java Startup and Control Framework Analyzing the Logs of Start and Stop Processes in SAP NetWeaver AS for Java Basic Configuration of SAP NetWeaver AS for Java Identifying the Administration Tools Used in Configuration Maintaining the Basic Configuration of SAP NetWeaver AS for Java with the Config Tool Configuring SAP NetWeaver AS for Java with SAP NetWeaver Administrator Configuring the Properties of the Central Services Instance Administering the Internet Communication Manager (ICM) Process Infrastructure Security Describing Network Security Setting Up the Secure Sockets Layer (SSL) User and Authorization Administration Configuring the SAP User Management Engine (UME) Maintaining Users and Groups Managing Java Authorization Administrating Special Principles Configuring the Logon Procedure in SAP NetWeaver AS for Java Java Connectors and Destinations Creating Connections to Other Systems Creating Connections to Other Systems with J2EE Connector Architecture (JCA) Change Management and Software Logistics Structuring the Java Development Approach Describing the Components of SAP NetWeaver Development Infrastructure Developing and Releasing Java Changes with SAP NetWeaver Development Infrastructure Transporting Java Developments Monitoring Monitoring SAP NetWeaver AS for Java Connecting to a Central Monitoring System (CEN) Configuring Availability Monitoring Configuring the Log and Trace Files Monitoring a System with SAP Solution Manager Software Maintenance Preparing for Software Maintenance Describing Java Support Packages, Stacks, and Patches Deploying Corrections with Software Update Manager (SUM) in SAP NetWeaver AS for Java Deploying Java Archives with Alternative Tools Outlining the Backup Strategy in SAP NetWeaver AS for Java

Duration 3 Days 18 CPD hours This course is intended for Anyone who wants to qualify as a professional tester. The certification also offers good qualifications for builders, designers, programmers and project managers Overview This three-day training provides a general introduction to information systems testing. The objective of the training is to prepare the students for the ISTQB Foundation exam. Some important topics that will certainly be discussed here are the importance of testing, testing in relation to system development and the fundamentals of a structured testing process. The different phases in a test project are explained, after which some test techniques (both black box and white box) are also discussed. This foundation training therefore contains the basis in testing for both test managers and testers. In addition to theory, the training also includes a number of mock exams, so that the topics covered are placed even better in the exam context. Course Outline test principles life cycle testing static techniques test specification techniques blackbox techniques whitebox techniques and experienced based techniques Additional course details: Nexus Humans Certified Tester Foundation Level (CTFL) 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 Certified Tester Foundation Level (CTFL) 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 1 Days 6 CPD hours This course is intended for Experienced Web Intelligence report creators and analysts upgrading from a previous version of SAP BusinessObjects Web Intelligence to SAP BusinessObjects Web Intelligence 4.1. In this course, participants will gain an understanding of the Deltas between Web Intelligence 3.1 and 4.1. Content Preview Data Ribbon Options Context Menus Drag-and-Drop functionality Application Modes -Data Mode -Reading Mode -Design Mode Freeze Columns New options in the formula editor Grouping Data New Predefined Cells Element Linking New Charting Engine Direct Connectivity to SAP BW BEx Queries

Duration 3 Days 18 CPD hours This course is intended for Program / Project ManagerSystem ArchitectSystem Administrator Overview Learn about the elements, strategies, and tools of the SAP authorization conceptCreate and assign authorizations using the Role Administration / Profile GeneratorLearn about the principle usage of the NetWeaver Identity Management and Central User Administration (CUA) In this course, students will learn about the elements, strategies, and tools of the SAP authorization concept, create and assign authorizations using the Role Administration/Profile Generator, & learn about the Central User Administration role. Authorizations Describing Authorization Authorization Concepts for Compliant Identity Management Designing Authorization for an AS ABAP-Based System Implementing Authorization for an AS ABAP-Based System Authorization Terminology Defining the Authorization Elements and Terms Checking Authorizations in ABAP Systems User Maintenance Maintaining User Data Basic Role Maintenance Defining a Role Defining Authorizations in a Role Defining Customizing Roles Creating Composite Roles Creating Reference and Derived Roles Maintaining Roles for SAP NetWeaver Business Client Advanced Role Maintenance Applying the Special Functions of Authorization Maintenance Defining Authorizations for a System User Authorization Environment Configuration Installing and Upgrading Role Maintenance Configuring Role Maintenance Defining System Settings Analyzing Missing Authorizations Transporting Authorizations Integration of Authorization Systems into an Organization's Landscape Creating Users with the Central User Administration (CUA) Migrating the CUA into SAP NetWeaver Identity Management (ID Management) Identifying Non-Standard Authorization Concepts in the SAP Business Suite Integrating Authorization Assignments with Organizational Management SAP Systems for Identity Management Identifying Different User Sources Describing SAP NetWeaver Identity Management (ID Management) Planning SAP Governance, Risk, and Compliance (SAP GRC) Describing Compliant Identity Management (CIM) Additional course details: Nexus Humans ADM940 SAP AS ABAP - Authorization Concept 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 ADM940 SAP AS ABAP - Authorization Concept 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 primarily for Developers, Developer Consultants, Help Desk/COE Support, and Program/Project Managers. Overview Learn the fundamental concepts of the ABAP programming languageEfficiently use the ABAP Workbench toolsCreate simple application programs with user dialogs (list, selection screen, screens, Web Dynpro) and database dialogs (reading from the database) In this course, students gain knowledge of the fundamental concepts of ABAP and learn how to comfortably and efficiently work with the ABAP Workbench tools in order to undertake custom developments with confidence. Flow of an ABAP Program Describing the Processing of ABAP Programs ABAP Workbench Introduction Introducing the ABAP Development Environment Organizing ABAP Developments Developing Programs Finalizing Development Basic ABAP Language Elements Defining Elementary Data Objects Using Basic ABAP Statements Working with the ABAP Debugger Modularization Introducing Modularization Modularizing Using Subroutines Modularizing Using Function Modules Implementing Function Modules Modularizing Using BAPIs Modularizing Using Global Classes Implementing Simple Global Classes and Static Methods Modularizing Using Local Classes Complex Data Objects Working with Structures Working with Internal Tables Data Modeling and Data Retrieval Modeling Data Reading Single Database Records Reading Multiple Database Records Handling Other Aspects of Database Access Working with Authorization Checks Classic ABAP Report Implementing ABAP Lists Implementing Selection Screens Implementing Events of ABAP Reports Screen Creating Screens Creating Input/Output Fields Implementing Data Transport SAP List Viewer Using the SAP List Viewer Web Dynpro ABAP Describing Web Dynpro ABAP Implementing Navigation in Web Dynpro Implementing Data Transport in Web Dynpro Program Analysis Tools Using the Code Inspector ABAP Development Tools for SAP NetWeaver Describing ABAP Development Tools for SAP NetWeaver Creating an ABAP Project in Eclipse SAP Standard Software Adjustments Adjusting the SAP Standard Software Additional course details: Nexus Humans BC400 SAP ABAP Workbench Foundations 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 BC400 SAP ABAP Workbench Foundations 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 2 Days 12 CPD hours This course is intended for New users of IBM SPSS Statistics Users who want to refresh their knowledge about IBM SPSS Statistics Anyone who is considering purchasing IBM SPSS Statistics Overview Introduction to IBM SPSS Statistics Review basic concepts in IBM SPSS Statistics Identify the steps in the research process Review basic analyses Use Help Reading data and defining metadata Overview of data sources Read from text files Read data from Microsoft Excel Read data from databases Define variable properties Selecting cases for analyses Select cases for analyses Run analyses for groups Apply report authoring styles Transforming variables Compute variables Recode values of categorical and scale variables Create a numeric variable from a string variable Using functions to transform variables Use statistical functions Use logical functions Use missing value functions Use conversion functions Use system variables Use the Date and Time Wizard Setting the unit of analysis Remove duplicate cases Create aggregate datasets Restructure datasets Merging data files Add cases from one dataset to another Add variables from one dataset to another Enrich a dataset with aggregated information Summarizing individual variables Define levels of measurement Summarizing categorical variables Summarizing scale variables Describing the relationship between variables Choose the appropriate procedure Summarize the relationship between categorical variables Summarize the relationship between a scale and a categorical variable Creating presentation ready tables with Custom Tables Identify table layouts Create tables for variables with shared categories Create tables for multiple response questions Customizing pivot tables Perform Automated Output Modification Customize pivot tables Use table templates Export pivot tables to other applications Working with syntax Use syntax to automate analyses Create, edit, and run syntax Shortcuts in the Syntax Editor Controlling the IBM SPSS Statistics environment Set options for output Set options for variables display Set options for default working folders This course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis. Students will learn the basics of reading data, data definition, data modification, data analysis, and presentation of analytical results. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base; one section presents an add-on module, IBM SPSS Custom Tables. Introduction to IBM SPSS Statistics Review basic concepts in IBM SPSS Statistics Identify the steps in the research process Review basic analyses Use Help Reading data and defining metadata Overview of data sources Read from text files Read data from Microsoft Excel Read data from databases Define variable properties Selecting cases for analyses Select cases for analyses Run analyses for groups Apply report authoring styles Transforming variables Compute variables Recode values of categorical and scale variables Create a numeric variable from a string variable Using functions to transform variables Use statistical functions Use logical functions Use missing value functions Use conversion functions Use system variables Use the Date and Time Wizard Setting the unit of analysis Remove duplicate cases Create aggregate datasets Restructure datasets Merging data files Add cases from one dataset to another Add variables from one dataset to another Enrich a dataset with aggregated information Summarizing individual variables Define levels of measurement Summarizing categorical variables Summarizing scale variables Describing the relationship between variables Choose the appropriate procedure Summarize the relationship between categorical variables Summarize the relationship between a scale and a categorical variable Creating presentation ready tables with Custom Tables Identify table layouts Create tables for variables with shared categories Create tables for multiple response questions Customizing pivot tables Perform Automated Output Modification Customize pivot tables Use table templates Export pivot tables to other applications Working with syntax Use syntax to automate analyses Create, edit, and run syntax Shortcuts in the Syntax Editor Controlling the IBM SPSS Statistics environment Set options for output Set options for variables display Set options for default working folders Additional course details: Nexus Humans 0G53BG IBM SPSS Statistics Essentials (V26) 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 0G53BG IBM SPSS Statistics Essentials (V26) 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 2 Days 12 CPD hours This course is intended for IBM SPSS Statistics users who want to familiarize themselves with the statistical capabilities of IBM SPSS StatisticsBase. Anyone who wants to refresh their knowledge and statistical experience. Overview Introduction to statistical analysis Describing individual variables Testing hypotheses Testing hypotheses on individual variables Testing on the relationship between categorical variables Testing on the difference between two group means Testing on differences between more than two group means Testing on the relationship between scale variables Predicting a scale variable: Regression Introduction to Bayesian statistics Overview of multivariate procedures This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing relationships. Students will gain an understanding of when and why to use these various techniques and how to apply them with confidence, interpret their output, and graphically display the results. Introduction to statistical analysis Identify the steps in the research process Identify measurement levels Describing individual variables Chart individual variables Summarize individual variables Identify the normal distributionIdentify standardized scores Testing hypotheses Principles of statistical testing One-sided versus two-sided testingType I, type II errors and power Testing hypotheses on individual variables Identify population parameters and sample statistics Examine the distribution of the sample mean Test a hypothesis on the population mean Construct confidence intervals Tests on a single variable Testing on the relationship between categorical variables Chart the relationship Describe the relationship Test the hypothesis of independence Assumptions Identify differences between the groups Measure the strength of the association Testing on the difference between two group meansChart the relationship Describe the relationship Test the hypothesis of two equal group means Assumptions Testing on differences between more than two group means Chart the relationship Describe the relationship Test the hypothesis of all group means being equal Assumptions Identify differences between the group means Testing on the relationship between scale variables Chart the relationship Describe the relationship Test the hypothesis of independence Assumptions Treatment of missing values Predicting a scale variable: Regression Explain linear regression Identify unstandardized and standardized coefficients Assess the fit Examine residuals Include 0-1 independent variables Include categorical independent variables Introduction to Bayesian statistics Bayesian statistics and classical test theory The Bayesian approach Evaluate a null hypothesis Overview of Bayesian procedures in IBM SPSS Statistics Overview of multivariate procedures Overview of supervised models Overview of models to create natural groupings

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

Duration 5 Days 30 CPD hours This course is intended for This course is designed for technical professionals who require the skills to administer IBM MQ. Overview After completing this course, you should be able to: Describe the IBM MQ deployment options Create and manage queue managers, queues, and channels Use the IBM MQ sample programs and utilities to test the IBM MQ network Configure distributed queuing Configure MQ client connections to a queue manager Define and administer a queue manager cluster Administer Java Message Service (JMS) in MQ Implement basic queue manager restart and recovery procedures Use IBM MQ troubleshooting tools to identify the cause of a problem in the IBM MQ network Manage IBM MQ security Monitor the activities and performance of an IBM MQ system This course is also available as self-paced virtual (e-learning) course IBM MQ V9.1 System Administration (ZM156G). This option does not require any travel.This course teaches you how to customize, operate, administer, and monitor IBM MQ on-premises on distributed operating systems. The course covers configuration, day-to-day administration, problem recovery, security management, and performance monitoring. In addition to the instructor-led lectures, the hands-on exercises provide practical experience with distributed queuing, working with MQ clients, and implementing clusters, publish/subscribe messaging. You also learn how to implement authorization, authentication, and encryption, and you learn how to monitor performance. Introducing IBM MQ Exercise Getting started with IBM MQ Working with IBM MQ administration tools Exercise Working with IBM MQ administration tools Configuring distributed queuing Exercise Implementing distributed queuing Managing clients and client connections Exercise Connecting an IBM MQ client Advanced IBM MQ client features Working with queue manager clusters Exercise Implementing a basic cluster Publish/subscribe messaging Exercise Configuring publish/subscribe message queuing Implementing basic security in IBM MQ Exercise Controlling access to IBM MQ Securing IBM MQ channels with TLS Exercise Securing channels with TLS Authenticating channels and connections Exercise Implementing connection authentication Supporting JMS with IBM MQ Diagnosing problems Running an IBM MQ trace Backing up and restoring IBM MQ messages and object definitions Using a media image to restore a queue Backing up and restoring IBM MQ object definitions High availability Monitoring and configuring IBM MQ for performance Monitoring IBM MQ for performance Monitoring resources with the IBM MQ Console Additional course details: Nexus Humans WM156G IBM MQ V9.1 System Administration (using Windows for labs) 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 WM156G IBM MQ V9.1 System Administration (using Windows for labs) 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 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