25636 TEC courses delivered Online

Duration 5 Days 30 CPD hours This course is intended for Implmentation Consultants, Business Users, IT Governance Experts, Compliance Managers Overview Discuss the purpose and business use of Process ControlDescribe key features and related harmonization topicsDescribe risk-based internal controlsConfigure Process Control customizing settings and those shared across GRCCreate and manage master dataDiscuss security and authorization requirementsImplement the Process Control solutionUse risk-managed financial compliance practicesPlan and process surveys and testsSet up and maintain Continuous MonitoringIntegrate and use Process Control with Policy ManagementDiscuss operational complianceAggregate deficienciesUse the harmonized reporting frameworkDescribe the use of custom-defined fields and document search This course offers hands-on configuration and implementation of SAP Process Control 10.1, as well as important concepts you will need to know in order to prepare for implementation and ongoing prevention of process risk. Enterprise Goverance, Riskl, and Compliance (eGRC) Risk-Based Approach to Managing Compliance Initiatives Integrated GRC Approach Governance Governance Overview Governance Using Process Control 10.1 Daily Business Use Harmonization Overview Harmonization Concepts Work Centers Setting Up an Entry Page Technical Landscape Configuration Requirements Customizing Central Tasks Shared Master Data and Reports Workflow Authorization Updates Process Control-Specific Customizing Create & Manage Master Data Master Data Overview Setting Up an Organization Hierarchy Setting Up the Account Group Hierarchy Setting Up the Central Process Hierarchy Setting Up the Indirect Entity-Level Control Hierarchy Harmonized Risk Model Uploading Master Data with MDUG Content Lifecycle Management Master Data Change Request Workflow Surveys and Manual Tests Survey and Test Overview Planner Overview Assessment Survey Manual Test Manual Test ? Offline Forms and Data Sheets Disclosure Survey Issue Remediation Risk-Managed Financial Compliance Risk-Based Financial Compliance Materiality Analysis Risk Assessment Control Risk Rating Test Strategy Risk Coverage Analysis Integration with SAP Audit Management Ad Hoc Issues Ad Hoc Issues Integration with SAP Fraud Management Policy Management Policy Management ? Overview Configuring Policy Management Policy Lifecycle Management Continuous Monitoring Continuous Monitoring ? Overview Continuous Monitoring ? Preconfiguration Creating a Data Source Creating a Business Rule Assigning Business Rules to a Control Scheduling a Continuous Monitoring Job Monitoring a Continuous Monitoring Job SAP Queries SAP BW Query Setting Up a Configurable Rule Subscenario Create a Programmed Rule ABAP Reports Process Integration Subscenario SoD Integration Web Service for Continuous Monitoring Event-Based Monitoring SAP HANA Views New CCM Content Upload Capabilities Operational Compliance Overview Operational Compliance Overview and Key Trends CAPA Operational Compliance-Specific Focus in CCM Closing Activies in an ICS Management Cycle Sign-Off Aggregation of Deficiencies Reporting Reports Overview Report Framework Harmonization Dashboard Overview Security & Authorization Security and Authorization ? Overview Authorization Configuration and Setup Implementation Scope and Approach Implementation Scope and Approach Establishing a Compliance Framework Configuring a Multi-Compliance Framework (MCF) Other Process Control Features Custom-Defined Fields Document Search

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Hadoop Fundamentals The Motivation for Hadoop Hadoop Overview Data Storage: HDFS Distributed Data Processing: YARN, MapReduce, and Spark Data Processing and Analysis: Pig, Hive, and Impala Data Integration: Sqoop Other Hadoop Data Tools Exercise Scenarios Explanation Introduction to Pig What Is Pig? Pig?s Features Pig Use Cases Interacting with Pig Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Processing Complex Data with Pig Storage Formats Complex/Nested Data Types Grouping Built-In Functions for Complex Data Iterating Grouped Data Multi-Dataset Operations with Pig Techniques for Combining Data Sets Joining Data Sets in Pig Set Operations Splitting Data Sets Pig Troubleshoot & Optimization Troubleshooting Pig Logging Using Hadoop?s Web UI Data Sampling and Debugging Performance Overview Understanding the Execution Plan Tips for Improving the Performance of Your Pig Jobs Introduction to Hive & Impala What Is Hive? What Is Impala? Schema and Data Storage Comparing Hive to Traditional Databases Hive Use Cases Querying with Hive & Impala Databases and Tables Basic Hive and Impala Query Language Syntax Data Types Differences Between Hive and Impala Query Syntax Using Hue to Execute Queries Using the Impala Shell Data Management Data Storage Creating Databases and Tables Loading Data Altering Databases and Tables Simplifying Queries with Views Storing Query Results Data Storage & Performance Partitioning Tables Choosing a File Format Managing Metadata Controlling Access to Data Relational Data Analysis with Hive & Impala Joining Datasets Common Built-In Functions Aggregation and Windowing Working with Impala How Impala Executes Queries Extending Impala with User-Defined Functions Improving Impala Performance Analyzing Text and Complex Data with Hive Complex Values in Hive Using Regular Expressions in Hive Sentiment Analysis and N-Grams Conclusion Hive Optimization Understanding Query Performance Controlling Job Execution Plan Bucketing Indexing Data Extending Hive SerDes Data Transformation with Custom Scripts User-Defined Functions Parameterized Queries Choosing the Best Tool for the Job Comparing MapReduce, Pig, Hive, Impala, and Relational Databases Which to Choose?

Duration 3 Days 18 CPD hours This course is intended for This course is intended for system and network administrators responsible for installation, setup, configuration, and administration of the BIG-IP LTM system. This course gives network professionals a functional understanding of BIG-IP Local Traffic Manager, introducing students to both commonly used and advanced BIG-IP LTM features and functionality. Incorporating lecture, extensive hands-on labs, and classroom discussion, the course helps students build the well-rounded skill set needed to manage BIG-IP LTM systems as part of a flexible and high performance application delivery network. Module 1: Setting Up the BIG-IP System Introducing the BIG-IP System Initially Setting Up the BIG-IP System Archiving the BIG-IP Configuration Leveraging F5 Support Resources and Tools Module 2: Reviewing Local Traffic Configuration Reviewing Nodes, Pools, and Virtual Servers Reviewing Address Translation Reviewing Routing Assumptions Reviewing Application Health Monitoring Reviewing Traffic Behavior Modification with Profiles Reviewing the TMOS Shell (TMSH) Reviewing Managing BIG-IP Configuration Data Module 3: Load Balancing Traffic with LTM Exploring Load Balancing Options Using Priority Group Activation and Fallback Host Comparing Member and Node Load Balancing Module 4: Modifying Traffic Behavior with Persistence Reviewing Persistence Introducing SSL Persistence Introducing SIP Persistence Introducing Universal Persistence Introducing Destination Address Affinity Persistence Using Match Across Options for Persistence Module 5: Monitoring Application Health Differentiating Monitor Types Customizing the HTTP Monitor Monitoring an Alias Address and Port Monitoring a Path vs. Monitoring a Device Managing Multiple Monitors Using Application Check Monitors Using Manual Resume and Advanced Monitor Timer Settings Module 6: Processing Traffic with Virtual Servers Understanding the Need for Other Virtual Server Types Forwarding Traffic with a Virtual Server Understanding Virtual Server Order of Precedence Path Load Balancing Module 7: Processing Traffic with SNATs Overview of SNATs Using SNAT Pools SNATs as Listeners SNAT Specificity VIP Bounceback Additional SNAT Options Network Packet Processing Module 8: Modifying Traffic Behavior with Profiles Profiles Overview TCP Express Optimization TCP Profiles Overview HTTP Profile Options OneConnect Offloading HTTP Compression to BIG-IP HTTP Caching Stream Profiles F5 Acceleration Technologies Module 9: Selected Topics VLAN, VLAN Tagging, and Trunking Restricting Network Access SNMP Features Segmenting Network Traffic with Route Domains Module 10: Deploying Application Services with iApps Simplifying Application Deployment with iApps Using iApps Templates Deploying an Application Service Leveraging the iApps Ecosystem on DevCentral Module 11: Customizing Application Delivery with iRules and Local Traffic Policies Getting Started with iRules Configuring and Managing Policy Rules Module 12: Securing Application Delivery with LTM Understanding Today?s Threat Landscape Integrating LTM Into Your Security Strategy Defending Your Environment Against SYN Flood Attacks Defending Your Environment Against Other Volumetric Attacks Addressing Application Vulnerabilities with iRules and Local Traffic Policies Detecting and Mitigating Other Common HTTP Threats Module 13: Final Lab Project About the Final Lab Project

Duration 5 Days 30 CPD hours This course is intended for This advanced course is appropriate for System Administrators, Technical Support Personnel, and Business Partners responsible for implementing LPARs on IBM Power Systems with AIX servers. Overview Discuss the advantages or value of PowerVM edition's featuresDefine micro-partitioning and shared processor LPARsDiscuss the benefits of simultaneous multithreadingDiscuss and configure the Integrated Virtual Ethernet (IVE)Install and configure the Virtual I/O ServerConfigure virtual network devices, such as virtual Ethernet and shared Ethernet adaptersConfigure virtual SCSI and virtual Fibre Channel storage adaptersConfigure virtual SCSI target devices on a virtual SCSI adapterDefine file-backed storage pools and file-backed virtual optical devicesIdentify single points of failure in virtualized environmentsConfigure multiple VIO servers for high availabilityConfigure advanced virtual networking optionsConfigure the shared Ethernet adapter failover featureConfigure advanced virtual SCSI optionsConfigure MPIO in a VIO server's client partitionManage the service events, configure call home, add, exchange FRUs, and discuss FSP failoverPerform PowerVM (VIOS) Maintenance This course explains the new features and benefits of virtualization including processor virtualization, Virtual I/O Server, and virtual devices, such as virtual Ethernet, virtual SCSI, and virtual Fibre Channel adapters. Course Outline Unit 1: Introduction to partitioning Exercise 1: Power Systems documentation overview Unit 2: HMC V8 enhancements Exercise 2: HMC enhanced interface Unit 3: Processor virtualization Exercise 3: Processor virtualization configuration Unit 4: Virtual Ethernet Exercise 4: Virtual Ethernet adapter configuration Unit 5: Virtual I/O Server and Shared Ethernet Adapter Exercise 5: Virtual I/O Server configuration Unit 6: Virtual SCSI devices Exercise 6: Client partition configuration Unit 7: Virtual network configuration with dual VIOS Exercise 7: SEA failover setup Unit 8: Virtual SCSI configurations with dual VIOS Exercise 8: Dual VIO server configuration with MPIO in the client partition Unit 9: Virtual Fibre Channel devices Exercise 9: Virtual Fibre Channel adapter configuration Unit 10: HMC Service Management Exercise 10: Manage service events Unit 11: PowerVM advanced systems maintenance Exercise 11: PowerVM system maintenance Exercise 12: (Optional) File-backed virtual SCSI devices Additional course details: Nexus Humans AN30 IBM Power Systems for AIX - Virtualization I - Implementing Virtualization 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 AN30 IBM Power Systems for AIX - Virtualization I - Implementing Virtualization 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 4 Days 24 CPD hours This course is intended for Data Modelers Overview Please refer to course overview This offering provides participants with introductory to advanced knowledge of metadata modeling concepts, and how to model metadata for predictable reporting and analysis results using IBM Cognos Framework Manager. Participants will learn the full scope of the metadata modeling process, from initial project creation, to publishing of metadata to the web, enabling end users to easily author reports and analyze data. Introduction to IBM Cognos Framework Manager Model data and identifying related data Define requirements and modeling strategies Overview of IBM Cognos Framework Manager Create a baseline project Extend a model Prepare reusable metadata Model for predictable results in IBM Cognos Framework Manager Identify query issues Identify reporting traps Model virtual star schemas Use query subjects, modify relationships, and consolidate metadata using virtual objects Create calculations, filter data, and customize metadata for runtime Implement a time dimension and specify determinants Model for presentation in IBM Cognos Framework Manager Create a presentation view Examine data source query subject types and stored procedure query subject types Specify data security and package security Specify object security and dynamic data security Create analysis objects Manage OLAP data sources Advanced capabilities in IBM Cognos Framework Manager Explore SQL generation and the use of governors Examine the use of IBM Cognos SQL and generated SQL for DMR data Other query considerations Use session parameters, prompt macros, and security macro functions Use materialized views, minimize SQL, and enable Dynamic Query Mode (DQM) DQM, CQM, caching metadata, query processing, aggregate calculation, and other ways to improve performance Extended capabilities in IBM Cognos Framework Manager Perform basic maintenance and management on a model Remap metadata to another source and import and link additional data sources Run scripts to automate or update a model and report on a model Segment a project, link a project, and branch a model Nest packages and specify package languages and functions Explore additional modeling techniques and customize metadata for a multilingual audience Additional course details: Nexus Humans B6252 IBM Cognos Framework Manager: Design Metadata Models v11.1.x 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 B6252 IBM Cognos Framework Manager: Design Metadata Models v11.1.x 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 4 Days 24 CPD hours This course is intended for Data Modelers Overview Please refer to course overview This offering provides participants with introductory to advanced knowledge of metadata modeling concepts, and how to model metadata for predictable reporting and analysis results using Framework Manager. Participants will learn the full scope of the metadata modeling process, from initial project creation, to publishing of metadata to the web, enabling end users to easily author reports and analyze data. Introduction to IBM Cognos Framework Manager Model data and identifying related data Define requirements and modeling strategies Overview of IBM Cognos Framework Manager Create a baseline project Extend a model Prepare reusable metadata Model for predictable results in IBM Cognos Framework Manager Identify query issues Identify reporting traps Model virtual star schemas Use query subjects, modify relationships, and consolidate metadata using virtual objects Create calculations, filter data, and customize metadata for runtime Implement a time dimension and specify determinants Model for presentation in IBM Cognos Framework Manager Create a presentation view Examine data source query subject types and stored procedure query subject types Specify data security and package security Specify object security and dynamic data security Create analysis objects Manage OLAP data sources Advanced capabilities in IBM Cognos Framework Manager Explore SQL generation and the use of governors Examine the use of IBM Cognos SQL and generated SQL for DMR data Other query considerations Use session parameters, prompt macros, and security macro functions Use materialized views, minimize SQL, and enable Dynamic Query Mode (DQM) DQM, CQM, caching metadata, query processing, aggregate calculation, and other ways to improve performance Extended capabilities in IBM Cognos Framework Manager (Optional) Perform basic maintenance and management on a model Remap metadata to another source and import and link additional data sources Run scripts to automate or update a model and report on a model Segment a project, link a project, and branch a model Nest packages and specify package languages and functions Explore additional modeling techniques and customize metadata for a multilingual audience Additional course details: Nexus Humans B6152 IBM Cognos Framework Manager - Design Metadata Models v11.0.x 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 B6152 IBM Cognos Framework Manager - Design Metadata Models v11.0.x 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 for wireless engineers who work in the following roles: Consulting systems engineer Network administrator Network engineer Network manager Sales engineer Systems engineer Technical solutions architect Wireless design engineer Wireless engineer Overview After taking this course, you should be able to: Describe and implement a Cisco-recommended structured design methodology Describe and implement industry standards, amendments, certifications, and Requests For Comments (RFCs) Describe and implement Cisco enhanced wireless features Describe and implement the wireless design process Describe and implement specific vertical designs Describe and implement site survey processes Describe and implement network validation processes The Designing Cisco Enterprise Wireless Networks (ENWLSD) v1.1 course gives you the knowledge you need to design Cisco© wireless networks. The course covers design specifics from scenario design concepts through the installation phase and into post-deployment validation.This course, including the self-paced material, helps prepare you to take the exam, Designing Cisco Enterprise Wireless Networks (300-425 ENWLSD), which leads to to the new CCNP© Enterprise and Cisco Certified Specialist ? Enterprise Wireless Design certifications. Describing and Implementing a Structured Wireless Design Methodology Importance of Planning Wireless Design with a Structured Methodology Cisco Structured Design Model Cisco Design Guides and Cisco Validated Designs for Wireless Networks Role of the Project Manager When Designing Wireless Networks Describing and Implementing Industry Protocols and Standards Wireless Standards Bodies Institute of Electrical and Electronics Engineers (IEEE) 802.11 Standard and Amendments Wi-Fi Alliance (WFA) Certifications Relevant Internet Engineering Task Force (IETF) Wireless RFCs Practice Activity Describing and Implementing Cisco Enhanced Wireless Features Hardware and Software Choices for a Wireless Network Design Cisco Infrastructure Settings for Wireless Network Design Cisco Enhanced Wireless Features Examining Cisco Mobility and Roaming Mobility and Intercontroller Mobility in a Wireless Network Optimize Client Roaming in a Wireless Network Cisco Workgroup Bridge (WGB) and WGB Roaming in a Wireless Network Describing and Implementing the Wireless Design Process Overview of Wireless Design Process Meet with the Customer to Discuss the Wireless Network Design Customer Information Gathering for a Wireless Network Design Design the Wireless Network Deployment of the Wireless Network Validation and Final Adjustments of the Wireless Network Wireless Network Design Project Documents and Deliverables Describing and Implementing Specific Vertical Designs Designs for Wireless Applications Wireless Network Design Within the Campus Extend Wireless Networks to the Branch Sites Examining Special Considerations in Advanced Wireless Designs High-Density Designs in Wireless Networks Introducing Location and Cisco Connected Mobile Experiences (CMX) Concepts Design for Location FastLocate and HyperLocation Bridges and Mesh in a Wireless Network Design Redundancy and High Availability in a Wireless Network Describing and Implementing the Site Survey Processes Site Survey Types Special Arrangements Needed for Site Surveys Safety Aspects to be Considered During Site Surveys Site Survey Tools in Cisco Prime Infrastructure Third-Party Site Survey Software and Hardware Tools Describing and Implementing Wireless Network Validation Processes Post-installation Wireless Network Validation Making Post-installation Changes to a Wireless Network Wireless Network Handoff to the Customer Installation Report

Duration 1 Days 6 CPD hours This course is intended for This course is intended for customer service professionals with any level of experience who want to expand their knowledge, improve their skill set, and increase the understanding of customer benefits. Overview In this course, you will develop the skills to coach for results. You will:  Describe the benefits of customer service, identify internal customers, identify the benefits to you of giving good customer service, and identify how you can help your company to excel. Identify the major trends in customer service today and the combination of criteria required for customer satisfaction. Identify the benefits of bringing respect, emotional support, and a personal touch to customer interactions, and apply the personal touch to customer interactions. Identify the six categories of face-to-face communication, the critical success factors in face-to-face communication, and the benefits of actively listening to your customers. Identify remote customer service communication channels and apply remote customer service best practices. Identify guidelines for handling unreasonable customers, explore ways to handle angry customers, and identify guidelines for handling unhelpful colleagues. Take action to increase the loyalty of the customers you serve. You will also identify guidelines for dealing with moments of truth, identify the benefits of customer complaints, identify the steps in the service recovery process, and analyze the moments of truth in a real-life situation. As a customer service representative, you are expected to handle customer interactions in the best way possible. The expectations of both your company and your customers hinge on your ability to provide the right service in the right way. In this course, you will explore the background and techniques of customer interactions.Providing quality customer care ensures that every single contact with your company is a positive experience. Customers can range from external consumers to internal employees in other departments. Knowing how to provide the same level of service to all customers will enrich your time spent at work by establishing positive business relationships. Recognizing crucial points throughout customer interactions increases your ability to solve problems and offer affirmative solutions. Applying this knowledge to trends in service and consumer desires allows you to contribute to the company?s bottom line and make a customer?s life a little easier. Understanding Customer Service Describe Customer Service Benefits Recognize the Importance of Internal Customer Service Identify How Customer Service Benefits You Excel with Customer Service Identifying How Customers Define the Success of Your Company Recognize Trends in Customer Service Identify Criteria for Customer Satisfaction Increasing Customer Satisfaction Identify Characteristics of the Personal Touch Create Lasting Positive Impressions on Your Customers Providing Face-to-Face Customer Service Identify Categories of Face-to-Face Contact Understand the Critical Success Factors in Face-to-Face Customer Service Identify the Characteristics of Active Listening Providing Remote Customer Service Identify Remote Customer Service Communication Channels Apply Remote Customer Service Best Practices Engaging Difficult Customers Serve Difficult Customers Manage Angry Customers Deal with Difficult or Unhelpful Colleagues Increasing Customer Loyalty Optimize Moments of Truth Recognize the Value of Customer Complaints Identify the Stages of the Service Recovery Process

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is as follows: Cisco Unified Communications system channel partners and resellers. System and technical support engineers. Customers who are deploying and maintaining Cisco Unified CCE solution products. Overview Upon completing this course, the learner will be able to meet these overall objectives: Understand CCE solutions, architecture, solution options, deployment models, integrated features and call flow options. Understand underlying Cisco Unified CCE processes, messaging and fault tolerance schemes. Install, upgrade and make basic configurations in Cisco Unified Communications Manager. Install, create databases, integrate, and upgrade all ICM components to include the ICM Router, Logger, Administration & Data Server, Peripheral Gateways, CTI Gateway and Cisco Finesse. Install, integrate, configure, and upgrade Cisco Unified CVP components to include the CVP Call Server, Voice XML Server, Media Server, Reporting Server and Cisco VVB. Install, upgrade, and make configurations for Cisco Unified Intelligence Center and Cisco Outbound Option Agent- and IVR-based campaigns. This course will provide the student with the underlying knowledge to understand deployment design solutions, requirements for deployment, and how to install and configure all major Cisco Unified CCE components. As a part of deployment activities, the student will understand how to install and integrate Intelligent Contact Manager (ICM) with Active Directory, how to install and integrate Cisco Unified CVP components using an IOS-based voice browser and Cisco Virtualized Voice Browser (Cisco VVB), how to install and integrate Cisco Finesse, how to install and integrate Cisco Unified Intelligence Center with Active Directory and associated Data Sources for reporting purposes, and how to install and configure Agent- and IVR-based Outbound Option dialing campaigns. And finally, the student will learn how to setup and use troubleshooting tools including RTMT, System CLI, Diagnostic Framework, and ICM command-line utilities to find status information and log files, and to track a call from the point of entry to the agent desktop. Cisco Unified Contact Center Enterprise Overview Lesson 1: Presenting Cisco Unified Contact Center Enterprise Lesson 2: Cisco Unified CCE Core Components Lesson 3: Cisco Unified CCE Options Lesson 4: Basic Call Flow Models Cisco Unified CCE Protocols, Processes and Services Lesson 1: Cisco Unified CM Lesson 2: Cisco Unified CCE/Intelligent Contact Manager Lesson 3: Cisco Unified CVP Installing Cisco Unified Communications Manager Lesson 1: Installation Prerequisites Lesson 2: Cisco Unified CM Installation Lesson 3: Post-installation Configurations Lesson 4: Creating Basic Infrastructure Lesson 5: Upgrading Cisco Unified CM Installing Intelligent Contact Manager Lesson 1: Installation Requirements Lesson 2: Pre-installation Tasks Lesson 3: Install the Main Installer Lesson 4: Install the Central Controller ?Lesson 5: Install the Administration and Data Server Lesson 6: Install the Peripheral Gateway Lesson 7: Install CTI Services Installing Cisco Unified CVP Lesson 1: Installation Prerequisites Lesson 2: Install the CVP Server Lesson 3: Configure Cisco Unified CVP Components Lesson 4: Upgrading Cisco Unified CVP Upgrade Path Installing and Configuring Cisco Unified CCE Options Lesson 1: Cisco Outbound Option Lesson 2: Cisco Unified Intelligence Center Supporting Cisco Unified CCE Lesson 1: Maintenance Activities Lesson 2: UCCE Troubleshooting Tools

Duration 5 Days 30 CPD hours This course is intended for This course is designed for students who want to learn the R programming language, particularly students who want to leverage R for data analysis and data science tasks in their organization. The course is also designed for students with an interest in applying statistics to real-world problems. A typical student in this course should have several years of experience with computing technology, along with a proficiency in at least one other programming language. Overview In this course, you will use R to perform common data science tasks.You will: Set up an R development environment and execute simple code. Perform operations on atomic data types in R, including characters, numbers, and logicals. Perform operations on data structures in R, including vectors, lists, and data frames. Write conditional statements and loops. Structure code for reuse with functions and packages. Manage data by loading and saving datasets, manipulating data frames, and more. Analyze data through exploratory analysis, statistical analysis, and more. Create and format data visualizations using base R and ggplot2. Create simple statistical models from data. In our data-driven world, organizations need the right tools to extract valuable insights from that data. The R programming language is one of the tools at the forefront of data science. Its robust set of packages and statistical functions makes it a powerful choice for analyzing data, manipulating data, performing statistical tests on data, and creating predictive models from data. Likewise, R is notable for its strong data visualization tools, enabling you to create high-quality graphs and plots that are incredibly customizable. This course will teach you the fundamentals of programming in R to get you started. It will also teach you how to use R to perform common data science tasks and achieve data-driven results for the business. Lesson 1: Setting Up R and Executing Simple Code Topic A: Set Up the R Development Environment Topic B: Write R Statements Lesson 2: Processing Atomic Data Types Topic A: Process Characters Topic B: Process Numbers Topic C: Process Logicals Lesson 3: Processing Data Structures Topic A: Process Vectors Topic B: Process Factors Topic C: Process Data Frames Topic D: Subset Data Structures Lesson 4: Writing Conditional Statements and Loops Topic A: Write Conditional Statements Topic B: Write Loops Lesson 5: Structuring Code for Reuse Topic A: Define and Call Functions Topic B: Apply Loop Functions Topic C: Manage R Packages Lesson 6: Managing Data in R Topic A: Load Data Topic B: Save Data Topic C: Manipulate Data Frames Using Base R Topic D: Manipulate Data Frames Using dplyr Topic E: Handle Dates and Times Lesson 7: Analyzing Data in R Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Identify Missing Values Lesson 8: Visualizing Data in R Topic A: Plot Data Using Base R Functions Topic B: Plot Data Using ggplot2 Topic C: Format Plots in ggplot2 Topic D: Create Combination Plots Lesson 9: Modeling Data in R Topic A: Create Statistical Models in R Topic B: Create Machine Learning Models in R