71 Programmer courses in Bristol delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for This is an intermediate course for z/OS system programmers, z/OS performance analysts, and z/OS performance administrators new to performance management for their z/OS system.Note: ES54 is intended for individuals new to WLM and the z/OS performance area Overview The objectives for this course are as follows:Describe a performance and tuning methodologyDevelop a systematic z/OS performance and tuning planDescribe the factors which could affect the performance of an z/OS systemUse the WLM ISPF applicationDescribe the components of a service definitionDefine workloads and service levels and classification rulesState which z/OS commands affect WLM operationIdentify the major WLM services for z/OS, including enclaves and application environments, and how they are used by DB2, WebSphere, and CICSAnalyze CPU performance when running in a shared LPAR environmentUtilize and monitor zIIP and zAAP specialty enginesMeasure and tune z/OS DASD, processor storage, and coupling facility configurationsExplain the functions and facilities of RMF and SMFAnalyze performance bottlenecks using RMFUse Workload License Charges (WLC), defined capacity and soft capping to manage software costsDescribe advanced z/OS environments that utilize Intelligent Resource Director (IRD), HiperDispatch, z/OSMF Workload Management, and I/O Priority ManagerUse the z/OSMF Workload Management (WLM) taskUse Performance Monitoring with z/OSMFModify a WLM service definition to meet the requirements for monitoring a specific system workloadCreate and customize Monitoring DesktopsReview any issues by using the Monitoring Desktops options displaysAssess the performance of the workloads running on the z/OS This course is designed for new performance analysts to learn to work with the Workload Manager (WLM) in goal mode. Learn concepts of WLM and performance management in the z/OS system using the WLM. Day 1 Welcome Unit 1 - Tuning methodology Unit 2 - Using SMF and RMF to monitor performance Lab 1 - Introduction to your system Lab 2 - Using RMF Monitor I and Monitor II Day 2 Unit 3 - Performance impacts when running in a shared LPAR environment Unit 4 - Basic system workload management (part 1) Lab 3 - Implementing a WLM environment on z/OS (part 1) Day 3 Unit 4 - Basic system workload management (part 2) Lab 3 - Implementing a WLM environment on z/OS (part 2) Day 4 Unit 5 - WLM commands, internals, and service Lab 4 - Using RMF Monitor III to solve performance problems Day 5 Unit 6 - z/OS DASD performance topics Unit 7 - Tuning processor storage Unit 8 - Miscellaneous performance topics Lab 5 - z/OSMF and performance management

Duration 4.5 Days 27 CPD hours This course is intended for This is an intermediate course for experienced data professionals such as z/OS system programmers, who are responsible for the installation and maintenance of z/OS UNIX. Overview Execute the tasks required to prepare a z/OS installation for implementing z/OS UNIXExecute the tasks to install the z/OS UNIX software featuresUse the information provided in this class to perform the basic customization necessary to fully implement the z/OS UNIX kernel, the file system, the shell and utilities, and z/OS UNIX applicationsPut in place the RACF security required for z/OS UNIX resources and applicationsMake appropriate definitions for the activation of TCP/IP sockets by z/OS UNIXIdentify and use the processes and data required for monitoring and tuning the z/OS UNIX environment This course is designed to provide you with the skills required to install and customize z/OS UNIX (full name z/OS UNIX System Services), and to manage and monitor the z/OS UNIX environment. Day 1 Welcome Unit 1: z/OS UNIX implementation overview Unit 2: z/OS UNIX services initial installation Exercise 1: Move from default to full mode function Exercise 2: IPL in full function mode and enable a nonvolatile root HFS Unit 3: File system customization Day 2 Exercise 3: Customizing the file system Unit 4: Security customization Exercise 4: Defining and managing UNIX users, OMVS security Day 3 Unit 5: Shell customization Exercise 5: UNIX System Services and shell customization Unit 6: Customizing applications, daemons, and servers Exercise 6: UNIX processes Exercise 7: Access control list and enhanced ASCII support Day 4 Unit 7: File system management and system maintenance Exercise 8: Managing HFS and zFS data sets Unit 8: Managing z/OS UNIX operations Unit 9: Exploiting TCP/IP with z/OS UNIX Exercise 9: Managing z/OS UNIX Additional course details: Nexus Humans OP25 IBM z/OS UNIX System Services Implementation 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 OP25 IBM z/OS UNIX System Services Implementation 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 This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create a data-driven application. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution.   Python continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files Additional course details: Nexus Humans Advanced Programming Techniques with Python 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 Advanced Programming Techniques with Python 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 This intermediate course is for application programmers who need to write embedded SQL COBOL or PL/I programs in either a DB2 9 or DB2 10 for z/OS environment. Overview Incorporate static SQL statements in an application program Prepare the program for execution Validate execution results are correct Produce code to support multiple rows being returned from the database manager using cursors Identify considerations regarding units of work, concurrency, and restart of programs Identify differences between static and dynamic SQL Provide test data for applications Discuss program and DB2 options relative to performance of static SQL This course enables you to acquire the skills necessary to produce application programs that manipulate DB2 databases. Emphasis is on embedding Structured Query Language (SQL) statements and preparing programs for execution. CV720G;CF82G;DB2 Concepts Identify DB2 family products Explain DB2 workstation component functions Identify DB2 objects Identify the key differences between static SQL and other application alternatives for accessing DB2 data Program Structure I Embed INSERT, UPDATE, DELETE and single-row SELECT statements in application programs Effectively communicate with DB2 when processing NULL values and determining success of statement execution Demonstrate use of DB2 coding aids Code CONNECT statements within an application program Identify connection types and impacts on a unit of work Program for the Call Attach Facility (CAF) Program Preparation Identify the additional steps necessary to prepare a program that contains embedded SQL for execution Describe the functions of the DB2 PRECOMPILE and BIND processes Describe factors relevant to the BIND process, including RUNSTATS positioning, package status, parameters, and authorization requirements Program Structure II Use DECLARE, OPEN, FETCH, and CLOSE CURSOR statements to handle select criteria that may return multiple rows in application programs Issue positioned UPDATE and DELETE statements Identify how scrollable cursors can be used Recovery and Locking Concepts Define a unit of recovery Identify the basic locking strategies used by DB2 Dynamic SQL Introduction Describe the difference between static and dynamic SQL List the types of dynamic statements Code dynamic SQL in a program Managing Test Data Identify methods to insert data into a table Use the LOAD or IMPORT utility Identify the purpose of the RUNSTATS utility Identify the purpose of the REORG utility Performance Considerations Use programming techniques that enhance DB2 application performance by following general guidelines, using indexable predicates, and avoiding unnecessary sorts Identify the access paths available to DB2 List common causes of deadlocks and avoid such causes when possible Use the EXPLAIN tools as aids to develop applications that emphasize performance Additional course details: Nexus Humans CV722 IBM DB2 11 for z/OS Application Programming Workshop 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 CV722 IBM DB2 11 for z/OS Application Programming Workshop 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 Experienced Programmers and Systems Administrators. Overview Throughout the course students will be led through a series of progressively advanced topics, where each topic consists of lecture, group discussion, comprehensive hands-on lab exercises, and lab review. This course is ?skills-centric?, designed to train attendees in core Python and web development skills beyond an intermediate level, coupling the most current, effective techniques with best practices. Working within in an engaging, hands-on learning environment, guided by our expert Python practitioner, students will learn to: ? Create working Python scripts following best practices ? Use python data types appropriately ? Read and write files with both text and binary data ? Search and replace text with regular expressions ? Get familiar with the standard library and its work-saving modules ? Use lesser-known but powerful Python data types ? Create 'real-world', professional Python applications ? Work with dates, times, and calendars ? Know when to use collections such as lists, dictionaries, and sets ? Understand Pythonic features such as comprehensions and iterators ? Write robust code using exception handling An introductory and beyond-level practical, hands-on Python training course that leads the student from the basics of writing and running Python scripts to more advanced features. An Overview of Python What is python? 1 -- An overview of Python What is python? Python Timeline Advantages/Disadvantages of Python Getting help with pydoc The Python Environment Starting Python Using the interpreter Running a Python script Python scripts on Unix/Windows Editors and IDEs Getting Started Using variables Built-in functions Strings Numbers Converting among types Writing to the screen Command line parameters Flow Control About flow control White space Conditional expressions Relational and Boolean operators While loops Alternate loop exits Sequences About sequences Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions Generator Expressions Nested sequences Working with files File overview Opening a text file Reading a text file Writing to a text file Reading and writing raw (binary) data Converting binary data with struct Dictionaries and Sets About dictionaries Creating dictionaries Iterating through a dictionary About sets Creating sets Working with sets Functions Defining functions Parameters Global and local scope Nested functions Returning values Sorting The sorted() function Alternate keys Lambda functions Sorting collections Using operator.itemgetter() Reverse sorting Errors and Exception Handling Syntax errors Exceptions Using try/catch/else/finally Handling multiple exceptions Ignoring exceptions Modules and Packages The import statement Module search path Creating Modules Using packages Function and Module aliases Classes About o-o programming Defining classes Constructors Methods Instance data Properties Class methods and data Regular Expressions RE syntax overview RE Objects Searching and matching Compilation flags Groups and special groups Replacing text Splitting strings The standard library The sys module Launching external programs Math functions Random numbers The string module Reading CSV data Dates and times Working with dates and times Translating timestamps Parsing dates from text Formatting dates Calendar data Working with the file system Paths, directories, and filenames Checking for existence Permissions and other file attributes Walking directory trees Creating filters with fileinput Using shutil for file operations 17 ? Advanced data handling Defaultdict and Counter Prettyprinting data structures Compressed archives (zip, gzip, tar, etc.) Persistent data Advanced data handling Defaultdict and Counter Prettyprinting data structures Compressed archives (zip, gzip, tar, etc.) Persistent data Network services Grabbing web content Sending email Using SSH for remote access Using FTP Writing real-life applications Parsing command-line options Detecting the current platform Trapping signals Implementing logging Python Timeline Advantages/Disadvantages of Python Getting help with pydoc

Duration 2 Days 12 CPD hours Overview Working in a hands-on learning environment guided by our expert practitioner, students will explore: Introduction to Continuous Integration, Continuous Deployment and Jenkins-CI Installing and Running Jenkins Job Types in Jenkins Securing Jenkins Jenkins Plugin Distributed Builds with Jenkins Continuous Deployment and the Jenkins Pipeline Best Practices for Jenkins Introduction to Jenkins is a two-day, lab intensive hands-on training course geared for experienced programmers who need to learn how to:Install and configure Jenkins in a servlet containerCreate Jenkins buildsConfigure and use Apache Ant and Apache Maven with JenkinsUse Jenkins to generate Java coding standards reports, code coverage reports, and change noticesUse Jenkins to automatically deploy software into a testing environment. Introduction to Continuous Integration, Continuous Deployment and Jenkins-CI Agile Development Agile Development (cont'd) What is Continuous Integration What is Continuous Integration (cont'd) What is Continous Integration (cont'd) Typical Setup for Continuous Integration Continuous Deployment Continuous Deployment (cont'd) DevOps and Continuous Deployment Continuous Deployment Challenges Jenkins Continuous Integration Jenkins Features Running Jenkins Installing and Running Jenkins Downloading and Installing Jenkins Running Jenkins as a Stand-Alone Application Running Jenkins as a Stand-Alone Application (cont'd) Running Jenkins on an Application Server The Jenkins Home Folder Installing Jenkins as a Windows Service Initial Configuration Configuration Wizard Configuration Wizard (cont'd) Configuring Tools Configuring Tools - Best Practices Job Types in Jenkins Different types of Jenkins Items Different types of Jenkins Items (cont'd) Configuring Source Code Management(SCM) Working with Subversion Working with Subversion (cont'd) Working with Git Storing Credentials Storing Credentials (cont'd) Build Triggers Schedule Build Jobs Polling the SCM Maven Build Steps Securing Jenkins Jenkins Security - Overview Jenkins Security Authentication Authorization Confidentiality Activating Security Configure Authentication Using Jenkins's Internal User Database Creating Users Authorization Matrix-Based Security Note ? Create the Administrative User Project-based Matrix Authorization Project-Based Authentication Jenkins Plugin Introduction Jenkins Plugins - SCM Jenkins Plugins ? Build and Test Jenkins Plugins ? Analyzers Jenkins for Teams Installing Jenkins Plugins Distributed Builds with Jenkins Distributed Builds - Overview Distributed Builds ? How? Slave Machines Configure Jenkins Master Configure Projects Continuous Deployment and the Jenkins Pipeline Continuous Deployment Continuous Deployment (cont'd) DevOps and Continuous Deployment Continuous Deployment Challenges Continuous Deployment with Jenkins The Pipeline Plugin The Pipeline Plugin (cont'd) Defining a Pipeline A Pipeline Example Pipeline Example (cont'd) Parallel Execution Creating a Pipeline Invoking the Pipeline Interacting with the Pipeline Best Practices for Jenkins Best Practices - Secure Jenkins Best Practices - Backups Best Practices - Reproducible Builds Best Practices - Testing and Reports Best Practices - Large Systems Best Practices - Distributed Jenkins Additional course details: Nexus Humans Introduction to Jenkins / Jenkins Quick Start (TTDV7520) 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 Introduction to Jenkins / Jenkins Quick Start (TTDV7520) 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 This intermediate course is for experienced SQL end users, application programmers, database administrators, and user support staff who need more advanced knowledge of SQL. Overview Discuss basic relational database concepts Use some of the OLAP features of DB2, such as GROUPing and RANKing functions Create tables, views and indexes Use referential integrity, check constraints and triggers Use outer joins, and join tables to themselves Use CASE expressions, and the CAST function Identify the impact of Summary Tables, Materialized Query Tables, and temporary tables Use complex subqueries Use a greater number of scalar SQL functions Use advanced SQL constructs, such as recursive SQL and table expressions Define User-Defined Distinct Types and User-Defined Functions Avoid several of the most common causes for poorly-performing SQL This course teaches you how to make use of advanced SQL techniques to access DB2 databases in different environments. This course is appropriate for customers working in all DB2 environments, specifically for z/OS, Linux, UNIX, and Windows. Introduction Identify the purpose of the clauses in the SELECT statement Describe the key differences among the IBM DB2 platforms Describe and use some of the OLAP features of DB2, such as GROUPING functions like CUBE and ROLLUP, and the RANK, DENSE_RANK and ROW_NUMBER functions Create Objects Code statements to: Create tables and views, Alter tables, Create indexes, Implement referential integrity (RI), and Define triggers and check constraints Identify impacts and advantages of referential integrity, including impacts of delete rules Identify considerations when using triggers and check constraints Define and make use of INSTEAD OF triggers Join Retrieve data from more than one table via inner and outer joins Use outer joins (LEFT, RIGHT, FULL) Use ANTI JOINS Join a table to itself Use UNION and UNION ALL Use EXCEPT and INTERCEPT CASE, CAST, Summary Tables, and Materialized Query Tables Identify when CASE expressions can be used Code CASE expressions in SELECT list and in the WHERE clause Identify when CAST specifications can be used Identify the advantages of using Summary (Materialized Query) Tables and Temporary tables Identify the advantages of using Materialized Query Tables (MQTs) Identify when and how to use Temporary tables Using Subqueries Code subqueries using the ALL, ANY/SOME, and EXISTS keywords Code correlated subqueries Choose the proper type of subquery to use in each case Scalar Functions Extend your knowledge of scalar functions which: Manipulate arithmetic data, Manipulate date values, and Manipulate character data Examples of scalar functions that are addressed in this course: SUBSTR POSSTR COALESCE/VALUE DECIMAL ROUND DIGITS CHAR DATE/TIME Table Expressions and Recursive SQL Identify reasons for using table expressions and recursive SQL Use nested and common table expressions Identify the difference between views and table expressions Code recursive SQL Control the depth of recursion when coding recursive SQL UDTs/UDFs and Performance Describe the concepts behind User-Defined Types, User-Defined Functions and Stored Procedures Predict when queries will use indexes to get better performance Identify concepts of predicate processing State introductory concepts about index structure State general best practices advice Additional course details: Nexus Humans CE131 IBM DB2 SQL Workshop for Experienced Users 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 CE131 IBM DB2 SQL Workshop for Experienced Users 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 70 Days 420 CPD hours Cisco Learning Library: Networking offers a subscription to all Cisco core online networking training, including product training, technology training, and certifications such as Cisco Routing and Switching, Wireless, Design, and Network Programmability.This comprehensive technical training library includes full-length, interactive certification courses, additional product and technology training with labs, and thousands of reference materials. Networking Library Certification Courses CCNA Implementing and Administering Cisco Solutions (CCNA) v1.0 CCNP Enterprise Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR) v1.0 Implementing Cisco Enterprise Advanced Routing and Services (ENARSI) v1.0 Implementing Cisco SD-WAN Solutions (SDWAN300) v1.0 Designing Cisco Enterprise Networks (ENSLD) v1.0 Designing Cisco Enterprise Wireless Networks (ENWLSD) v1.0 Implementing Cisco Enterprise Wireless Networks (ENWLSI) v1.1 Implementing Automation for Cisco Enterprise Solutions (ENAUI) v1.0 CCIE Enterprise Infrastructure Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR) v1.0 CCIE Enterprise Wireless Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR) v1.0 Product and Technology Training Implementing and Administering Cisco Solutions (CCNA) v1.0 Developing Applications and Automating Workflows Using Cisco Core Platforms (DEVASC) v1.0 Developing Applications Using Cisco Core Platforms and APIs (DEVCOR) v1.0 Developing Solutions Using Cisco IoT and Edge Platforms (DEVIOT) v1.0 Implementing DevOps Solutions and Practices Using Cisco Platforms (DEVOPS) v1.0 Developing Applications for Cisco Webex and Webex Devices (DEVWBX) v1.0 Implementing Automation for Cisco Enterprise Solutions (ENAUI) v1.0 Implementing Automation for Cisco Collaboration Solutions (CLAUI) v1.0 Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.0 Implementing Automation for Cisco Security Solutions (SAUI) v1.0 Implementing Automation for Cisco Service Provider Solutions (SPAUI) v1.0 Introducing Automation for Cisco Solutions (CSAU) v1.0 Cisco Certified Technician Supporting Cisco Routing and Switching Network Devices (RSTECH) v3.0 Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR) v1.0 Implementing Cisco Enterprise Advanced Routing and Services (ENARSI) v1.0 Implementing Cisco SD-WAN Solutions (SDWAN300) v1.0 Designing Cisco Enterprise Networks (ENSLD) v1.0 Implementing Cisco Enterprise Wireless Networks (ENWLSI) v1.1 Cisco NCS 2000 Deploying 96-Channel Flex Spectrum (OPT201) v3.0 Cisco Digital Network Architecture Implementation Essentials (DNAIE) v2.0 Understanding Cisco Industrial IoT Networking Foundation (INFND) v1.0 Programming Use Cases for Cisco Digital Network Architecture v1.0 (DNAPUC) v1.0 Engineering Cisco Meraki Solutions Part 1 (ECMS1) v1.0 Deploying Cisco SD-Access (ENSDA) v1.1 Cisco SD-WAN Operation and Deployment (ENSDW) v1.0 Introduction to Cisco IOS XR (IOSXR100) v2.0 Cisco IOS XR System Administration (IOSXR200) v1.1 Cisco IOS XR Basic Troubleshooting (IOSXR201) v1.1 Cisco ASR 9000 Series IOS XR 64-Bit Software Migration and Operational Enhancements (IOSXR211) v1.0 Cisco IOS XR Layer 3 VPN Implementation and Verification (IOSXR301) v1.1 Cisco IOS XRMulticast Routing Implementation and Verification (IOSXR302) v1.1 Cisco IOS XR Broadband Network Gateway Implementation and Verification (IOSXR304) v1.0 NSO Essentials for Programmers and Network Architects (NSO201) v3.0 Cisco NSO Administration and DevOps (NSO303) v3.0 Cisco Optical Technology Advanced (OPT300) v2.0 Implementing Segment Routing on Cisco IOS XR (SEGRTE201) v2.0 Operating and Implementing Cisco WAN Automation Engine (WAE200) v3.0 Implementing Cisco Virtual Wide Area Application Services (VWAAS) v1.0 Configuring and Operating Cisco EPN Manager (EPNM100) v3.0 Cisco Elastic Services Controller (ESC300) v2.0 Product and Technology Training Deploying Cloud Connect Solutions with Cisco Cloud Services Router 1000V (CLDCSR) v1.0 Implementing Cisco Multicast (MCAST) v2.0 Cisco Prime Central Intermediate ? Administration and Operations (CPCI-AO) v1.0 Cisco Prime Network Intermediate ? Administration and Operation (CPNI-AO) v1.1 Cisco Prime Provisioning (CPP) v6.5 Cisco Prime Performance Manager (CPPERF) v1.0 Implementing Cisco Catalyst 9000 Switches (ENC9K) v1.0 Cisco Aggregation Services Router 9000 Series Essentials (ASR9KE) v6.0 Network Convergence System 5500 Series Router (NCS5500HW) v1.0 Cisco DNA Center Fast-Start Use Cases (A-SDA-FASTSTART) Getting Started with DNA Center Assurance (A-DNAC-ASSUR) v1.0 Overview of Cisco DNA Center Fast Start Use Cases for System Engineers (P-SDA-SYSEF) Planning and Deploying SD-Access Fundamentals (For Customers) (CUST-SDA-FUND) v1.0 Preparing the Identity Services Engine (ISE) for SD-Access (For Customers) (CUST-SDA-ISE) v1.0 SD-Access 1.2 Update Supplement (A-SDA-12UPDT) The SD-WAN Mastery Collection - Getting Started (For Customers) v1.0 (A-SDW-START) The SD-WAN Mastery Collection - Deploying the Data Plane (For Customers) v1.0 (A-SDW-DATPLN) The SD-WAN Mastery Collection - Developing the Overlay Topology (For Customers) v1.0 (A-SDW-OVRLAY) The SD-WAN Mastery Collection - Managing the Application Experience (For Customers) v1.0 (A-SDW-APPEXP) The SD-WAN Mastery Collection - Bringing Up the Control Plane Devices (For Customers) v1.0 (A-SDW-CTRPLN) Securing Branch Internet and Cloud Access with Cisco SD-WAN (A-SDW-BRSEC) Programming for Network Engineers (PRNE) v1.0 Cisco Optical Technology Intermediate (OPT200) v2.0 Advanced Implementing and Troubleshooting MPLS VPN Networks (AMPLS) BGP Bootcamp (BGP) Building Core Networks with OSPF, IS-IS, BGP and MPLS Bootcamp (BCN) Configuring BGP on Cisco Routers (BGP) v4.0 Implementing Cisco MPLS v3.0 Internetworking Technology Overview (ITO) Introduction to IP Multicast Bootcamp Introduction to IPsec VPN Bootcamp (IPsec VPN) Introduction to IPv6 Bootcamp (IPv6) Introduction to MPLS-VPN Bootcamp (MPLS-VPN) LAN Switching Bootcamp (LAN-SW) RP Bootcamp Troubleshooting for Network Support Engineers

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