Electronics Training Courses and Workshops

Schools providing training courses, certificates, diplomas or degree programs of Electronics Engineering




Total 800 training courses and degree programs available around the world.

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IBM Security Identity Manager 6.0 Basic Administration

Course Format: Classroom
School/Trainer: Arrow Electronics IBM Training
Training Center(s)/Venue(s): Atlanta, Boston, Cleveland, Denver, Minneapolis, United States
  V

Objectives

•Describe the value proposition of IBM Security Identity Manager 6.0
•Describe the process of creating a needs assessment document for Security Identity Manager
•Identify the major components of the IBM Security Identity Manager 6.0 system architecture
•Describe the installation process for IBM Security Identity Manager 6.0 and middleware
•Configure organizational units, locations, and administrative domains
•Navigate LDAP directory data
•Create static and dynamic organizational roles
•Create identity feeds for the five feed types
•Manually request, modify, suspend, restore, and delete accounts
•Create services and configure reconciliation
•Create identity, password, service selection, provisioning, and recertification policies
•Describe workflow elements and create workflows
•Describe notifications and use the Notification Post Office
•Create groups, views, and access control items
•Create and manage account and access entitlements
•Modify join directives
•Correct noncompliant accounts and adopt orphaned accounts
•Manage account and access request activities
•C... [Read More]

IBM Security Network Intrusion Prevention System 4.6 Config and Deployment

Course Format: Classroom
School/Trainer: Arrow Electronics IBM Training
Training Center(s)/Venue(s): Atlanta, Boston, Cleveland, Denver, Minneapolis, United States
  V

Objectives

•Describe intrusion prevention concepts and the IBM Security Network Intrusion Prevention System (IPS)
•Connect an IBM Security Network Intrusion Prevention Systemappliance to your network
•Configure the initial settings on the appliance and register it with SiteProtector
•Manage the IBM Security Network Intrusion Prevention Systemusing SiteProtector
•Configure firewall rules for IBM Security Network Intrusion Prevention System
•Configure protection domains, security events, and response filters
•Configure the X-Force Virtual Patch, data loss prevention, and web application protection policies
•Configure user-defined events, tuning parameters, OpenSignature events, and connection events
•Enable SNORT and configure SNORT rules for IBM Security Network Intrusion Prevention System
•Integrate the IBM Security Network Intrusion Prevention System with IBM QRadar SIEM

Programme

•Introduction to IBM Security Network Intrusion Prevention System
•Connecting the appliance
•Setting up the appliance
•Managing the appliance
•Configuring firewall
•Configuring s... [Read More]

IBM Security Network Protection Administration and Configuration

Course Format: Classroom
School/Trainer: Arrow Electronics IBM Training
Training Center(s)/Venue(s): Atlanta, Boston, Cleveland, Denver, Minneapolis, United States
  V

Objectives

* Describe the characteristics and architecture of the IBM Security Network Protection appliance
* Connect the appliance to your network
* Configure initial settings on the appliance and register it with SiteProtector
* Use network objects and network access rules to configure the Network Access Policy
* Use IPS objects to configure the Intrusion Prevention Policy
* Describe different alert types and configure SNMP alerts generated by response objects and system alerts
* Use objects and policies to tune your security policy
* Capture network packets
* Configure local, remote, and passive user authentication
* Inspect outbound and inbound SSL traffic
* Use the SNORT syntax to incorporate rules in the appliance
* Use advanced threat protection and quarantine rules to block events
* Integrate the appliance with IBM Security QRadar SIEM
* Monitor events on the appliance

Programme

Unit 1: Introduction to IBM Security Network Protection
Unit 2: Setting up the appliance
Unit 3: Managing the appliance
Unit 4: Configuring the Network Access Po... [Read More]

IBM Security Directory Server

Course Format: Classroom
School/Trainer: Arrow Electronics IBM Training
Training Center(s)/Venue(s): Atlanta, Boston, Cleveland, Denver, Minneapolis, United States
  V

IBM Security Directory Server is a powerful enterprise directory for corporate intranets and the Internet. IBM Security Directory Server is built to serve as the identity data foundation for rapid development and deployment of Web applications, security, and identity management initiatives. It includes strong management, replication, and security features.

Objectives

•Define LDAP and discuss concepts regarding LDAP standards
•Manage directory entries and search the directory, explain the purpose of the directory schema
•Define the security features of IBM Security Directory Server
•Define the replication features of IBM Security Directory Server
•Define the performance features of IBM Security Directory Server
•Define problem determination facilities

Programme

•Introduction
•Concepts and managing directory data
•Security
•Distributed directories
•Performance
•Problem determination

IBM Security AppScan Enterprise Fundamentals

Course Format: Classroom
School/Trainer: Arrow Electronics IBM Training
Training Center(s)/Venue(s): Atlanta, Boston, Cleveland, Denver, Minneapolis, United States
  V

Objectives

•Describe the capabilities of Security AppScan Enterprise
•Explain the potential risks of conducting an automated security scan
•Work with dashboards, jobs, folders, reports, and alerts
•Explain the differences between manual and automatic exploration
•Configure, run, and optimize scans
•Use scan logs and identify messages, export a scan log, and troubleshoot scans
•Describe the process of analyzing scan results and using issue management
•Explain the architecture of IBM Security AppScan Enterprise
•Administer users and groups, and manage access control
•Create scan templates and test policies
•Describe best practices for generating management reports

Programme

•Unit 1: Security AppScan Enterprise overview
•Unit 2: Preparing to scan
•Unit 3: Reports overview
•Unit 4: Managing folders, report packs, and dashboards
•Unit 5: Configuring a basic scan
•Unit 6: Using the manual explore option
•Unit 7: Using recorded login sequences and session management
•Unit 8: Reviewing explore results
•Unit 9: Configuring an advanced scan
•Unit 10: Runni... [Read More]

IBM Security Access Manager for Enterprise Single Sign-On Administration

Course Format: Classroom
School/Trainer: Arrow Electronics IBM Training
Training Center(s)/Venue(s): Atlanta, Boston, Cleveland, Denver, Minneapolis, United States
  V

Objectives

•Describe the components of IBM Security Access Manager for Enterprise Single Sign-On
•Install and configure the IBM Security Access Manager for Enterprise Single Sign-On server
•Manage ISAM ESSO users and roles
•Configure and apply system, user, and machine policies
•Deploy the AccessAgent component for desktop single sign-on
•Use AccessStudio to create standard and advanced single sign-on profiles
•View reports and audit information

Programme

•Introduction
•IMS server
•Users, Roles, and Policies
•AccessAgent
•Administration
•Shared workstations
•Basic AccessStudio
•Advanced AccessStudio
•Auditing and reporting
•Advanced topics

Time Series Analysis and Forecasting with IBM SPSS Forecasting

Course Format: On-site
School/Trainer: Arrow Electronics IBM Training
Training Center(s)/Venue(s): Atlanta, Boston, Cleveland, Denver, Minneapolis, United States
  V

This three-day course gets you up and running with a set of procedures for analyzing time series data. Learn how to forecast using a variety of models which take into account different combinations of trend, seasonality and prediction variables. The new Expert Modeler features in SPSS Trends 14.0 will be covered in this course. Generate predicted values along with standard errors, confidence intervals and residuals. This course will emphasize the graphical display of your results so you can visualize your forecasting models.

Programme

•The basics of forecasting
•Smoothing time series data
•Outliers and error in time series data
•Automatic forecasting with the Expert Modeler
•Assessing model performance
•Fitting curves to time series data
•Regression with time series data
•Exponential smoothing models
•ARIMA models
•Applying a model to new data
•Seasonal decomposition
•Modeling seasonality
•Intervention analysis
•Transfer functions in ARIMA
•Automatic forecasting of several time series

Survey Analysis Using IBM SPSS Statistics

Course Format: On-site
School/Trainer: Arrow Electronics IBM Training
Training Center(s)/Venue(s): Atlanta, Boston, Cleveland, Denver, Minneapolis, United States
  V

This three-day course reviews the standard methods that are used to analyze survey data, beginning with simple methods, such as crosstabulations, and moving toward the advanced, such as logistic regression. Appropriate methods of analysis are discussed for both categorical and continuous data. Also included are discussions of qualitative data analysis and the reporting and presentation of survey results.

Programme

•The Logic of Survey Analysis
•Data checking and data validation
•Data transformations: create new variables
•Testing for Reliability and Validity
•Analyzing Categorical Variables
•Analyzing Interval Variables
•Analyzing Text Data
•Reporting Survey Results for Categorical and Scale Data
•Clustering Respondents
•Multivariate Analysis using Regression Techniques
•Special Issues: Missing Data
•Special Issues: Complex Samples and Sample Weights
•Measuring Change over Time with Surveys
•Decision Tree Analysis

Presenting Data with IBM SPSS Custom (V20)

Course Format: Classroom
School/Trainer: Arrow Electronics IBM Training
Training Center(s)/Venue(s): Atlanta, Boston, Cleveland, Denver, Minneapolis, United States
  V

Introduction to STATISTICS Tables
•Explain table structure and terminology used in STATISTICS Custom Tables
•Explain the level of measurement of variables
•Describe at least 3 common table formats

Tables Basics
•Explain the basic components of the Table Builder interface
•Describe the basic features of the Summary Statistics and Categories and Totals dialog boxes
•Add summary statistics and a total for a categorical variable
•Tables for Categorical Variables
•Create a crosstabulation
•Request additional summary statistics and totals
•Control the labels and display formats of the summary statistics
•Change the summary statistics display dimension and hide the summary statistics labels

Stacking, Nesting and Layers
•Create tables with stacking
•Create tables with nesting
•Create tables with layers
•Tables for Scale Variables
•Stack scale variables
•Create tables for scale summaries grouped in categories
•Use multiple summary statistics and obtain different statistics for different scale variables

Totals, Subtotals, and Categories
•Create totals and... [Read More]

Market Segmentation Using IBM SPSS Statistics

Course Format: Classroom
School/Trainer: Arrow Electronics IBM Training
Training Center(s)/Venue(s): Atlanta, Boston, Cleveland, Denver, Minneapolis, United States
  V

In this one-day course you will focus on the statistical techniques most often used to support market segmentation. The course emphasizes the practical issues of setting up, running and interpreting the results of market segmentation analysis.

Participants

This intermediate course is for anyone who has worked with SPSS for Windows and is interested in knowing more about the appropriate procedures for market segmentation.

Prerequisites

You should have:
•On the job experience with SPSS for Windows or completion of the Windows Basic and/or Intermediate courses.
•Basic statistical knowledge or at least one college level course in statistics is helpful.

Objectives

Please refer to course overview for description information.

Programme

•Segmentation and Classification Methods
•Cluster Analysis: Principles
•Cluster Analysis: Practice
•Factor Analysis
•Decision Trees
•Decision Trees II: Chaid Analysis

Statistical Analysis Using IBM SPSS Statistics (V23)

Course Format: Classroom
School/Trainer: Arrow Electronics IBM Training
Training Center(s)/Venue(s): Atlanta, Boston, Cleveland, Denver, Minneapolis, United States
  V

Introduction to Statistical Analysis
•Explain the difference between a sample and a population
•Explain the difference between an experimental research design and a non-experimental research design
•Explain the difference between independent and dependent variables

Examine Individual Variables
•Describe the levels of measurement used in IBM SPSS Statistics
•Use graphs to examine variables
•Use summary measures to examine variables
•Explain normal distributions
•Explain standardized scores and their use

Test Hypotheses-Theory
•Explain the difference between a sample and a population
•Design a test of a hypothesis
•Explain the alpha level
•Explain the difference between statistical and practical significance
•Describe the two types of errors in testing a hypothesis

Test Hypotheses about Individual Variables
•Explain the sampling distribution of a statistic
•Explain the difference between the standard deviation and the standard error
•Use the One-Sample T Test to test a hypothesis about a population mean
•Use the Paired-Samples T Test to test on an &,quot,... [Read More]

IBM SPSS Text Analytics for Surveys

Course Format: Classroom
School/Trainer: Arrow Electronics IBM Training
Training Center(s)/Venue(s): Atlanta, Boston, Cleveland, Denver, Minneapolis, United States
  V

Introduction to Analyzing Text
•Explain basic elements involved in analyzing text data
•Explain what is text analysis
•Describe a typical text analysis session
•Describe some issues and considerations when analyzing text data

Creating a New Project
•Create a new project in IBM SPSS Text Analytics for Surveys
•Create a new project by importing a statistics file
•Create a new project by importing an Excel file
•Describe the IBM SPSS Text Analytics for Surveys interface

Project and Data Properties
•View and modify project and data properties
•Edit project properties
•Edit data properties
•View an entire project

Extracting Concepts, Types, and Patterns
•Understand the link between the extracted information and the original response
•Extract concepts
•Extract types
•Extract patterns

The Extraction Process
•Extract concepts, types, and patterns within IBM SPSS Text Analytics for Surveys
•Know the steps of the extraction process
•Refine extraction results
•Use extraction options

Linguistic Resources ... [Read More]

IBM SPSS Statistics (V23)

Course Format: Classroom
School/Trainer: Arrow Electronics IBM Training
Training Center(s)/Venue(s): Atlanta, Boston, Cleveland, Denver, Minneapolis, United States
  V

Introduction to IBM SPSS Statistics
•Explain the basic steps of data analysis using IBM SPSS Statistics
•Describe the roles of the primary windows within IBM SPSS Statistics
•Describe the basic layout of IBM SPSS Statistics dialog boxes

Reading Data
•Describe the choices of the file menu to read and save data files
•Read Microsoft Excel files
•Read from a Microsoft Access database
•Read delimited files

Variable Properties
•Describe all the variable properties
•Define variable properties in the Variable View Window
•Define variable properties using the Define Variable Properties dialog
•Save variable properties with data in an IBM SPSS Statistics data file
•View variable properties interactively using Variable Utility
•View variable properties in tables using Display Data Dictionary facility and Codebook procedure

Working with the Data Editor
•Insert, delete, and move variables and cases
•Use Split Screen view
•Copy information from one dataset to another
•Use the Copy Data Properties feature

Modifying Data Values: Recode
•Use the features o... [Read More]

IBM SPSS Neural Networks

Course Format: Classroom
School/Trainer: Arrow Electronics IBM Training
Training Center(s)/Venue(s): Atlanta, Boston, Cleveland, Denver, Minneapolis, United States
  V

This course will cover the usage and applcation of Neural Network models using IBM SPSS Statistics. Neural Network models are used to predict an outcome variable that is either categorical or interval in scale using predictors that are also categorical or interval. Neural networks are popular when modeling complex environments (for example financial applications).

Programme

•Introduction to SPSS Neural Networks
•Data Preparation
•Multilayer Perceptron Procedure
•Radial Basis Function Procedure

Introduction to IBM SPSS Modeler and Data Mining (v18)

Course Format: Classroom
School/Trainer: Arrow Electronics IBM Training
Training Center(s)/Venue(s): Atlanta, Boston, Cleveland, Denver, Minneapolis, United States
  V

1: Introduction to data mining
?List two applications of data mining
?Explain the stages of the CRISP-DM process model
?Describe successful data-mining projects and the reasons why projects fail
?Describe the skills needed for data mining

2: Working with IBM SPSS Modeler
?Describe the MODELER user-interface
?Work with nodes
?Run a stream or a part of a stream
?Open and save a stream
?Use the online Help

3: Creating a data-mining project
?Explain the basic framework of a data-mining project
?Build a model
?Deploy a model

4: Collecting initial data
?Explain the concepts &,quot,data structure&,quot,, &,quot,unit of analysis&,quot,, &,quot,field storage&,quot, and &,quot,field measurement level&,quot,
?Import Microsoft Excel files
?Import IBM SPSS Statistics files
?Import text files
?Import from databases
?Export data to various formats

5: Understanding the data
?Audit the data
?Explain how to check for invalid values
?Take action for invalid values
?Explain how to define bl... [Read More]

Introduction to IBM SPSS Decision Trees (V19)

Course Format: Classroom
School/Trainer: Arrow Electronics IBM Training
Training Center(s)/Venue(s): Atlanta, Boston, Cleveland, Denver, Minneapolis, United States
  V

Introduction to IBM SPSS Decision Trees is a two day instructor led classroom course that covers the principles and practice of the tree-based decision and regression methods available in IBM SPSS Decision Trees. A general introduction to the features of the IBM SPSS Decision Trees module and an overview of decision tree based methods will be covered. These methods (CHAID, Exhaustive CHAID, CRT, and QUEST) are used to perform classification, segmentation, and prediction modeling in a wide range of business and research areas. The techniques are discussed and compared, analyses are performed, and the results interpreted.

Programme

•Introduction to IBM SPSS Decision Trees
•CHAID Analysis
•CHAID Extensions and Additional Features
•CRT Decision Trees
•CRT Regression Trees
•Quest Analysis

Introduction to Analytical Decision Management (V17)

Course Format: Classroom
School/Trainer: Arrow Electronics IBM Training
Training Center(s)/Venue(s): Atlanta, Boston, Cleveland, Denver, Minneapolis, United States
  V

This course brings the benefit of predictive analytics to real business problems, allowing you to build custom applications tailored to your customers or industry. While applications are typically configured to solve very specific problems, all are based on a common set of capabilities: Automate decisions using business rules, add insight using predictive models, and use prioritization, optimization, or simulation to reach the best decision based on the above. A number of packaged applications are available, tailored to solving specific business problems.

The course will not only cover how to use the packaged applications, but also how to create your own applications, how Analytical Decision Management interplays with IBM SPSS Modeler (V17) and IBM SPSS Collaboration and Deployment Services (V7), and how to deploy results for real-time.

Programme

•Introduction to Decision Management
•A Sample Session: Managing Customer Interactions
•Defining Data Sources
•Defining Global Selections
•Creating Rules From Models
•Defining Outcomes
•Prioritizing / Optimizing Outcomes
•Deploying Models for Scoring
Read More]

Data Management and Manipulation with IBM SPSS Statistics (V23)

Course Format: On-site
School/Trainer: Arrow Electronics IBM Training
Training Center(s)/Venue(s): Atlanta, Boston, Cleveland, Denver, Minneapolis, United States
  V

Helpful Data Management Features
?Read from a database using the Database Wizard
?Customize variable attributes
?Compare datasets
?Use Variable Sets
?Rename datasets

Use Functions
?Identify the general form of a function
?Use statistical functions
?Use logical functions
?Use missing value functions
?Use conversion functions
?Use system variables

Additional Data Transformations
?Use Automatic Recode to recode string variables into numeric variables
?Use Count Values within Cases to count values across variables

Set the Unit of Analysis
?Remove duplicate cases
?Create aggregated datasets
?Restructure datasets

Merge Files
?Add cases from one dataset to another
?Add variables from one dataset to another
?Enrich a dataset with aggregated information

Analyze Multiple Response Questions
?Describe the two ways to encode a multiple response set
?Define multiple response sets
?Use the Multiple Response Frequencies and Crosstabs procedures

Edit Tables and Chart... [Read More]

Correspondence Analysis and Multidimensional Scaling with IBM SPSS Categories

Course Format: On-site
School/Trainer: Arrow Electronics IBM Training
Training Center(s)/Venue(s): Atlanta, Boston, Cleveland, Denver, Minneapolis, United States
  V

This course will focus on how to perform Correspondence Analysis and Multi-Dimensional Scaling using procedures in the IBM SPSS Categories add-on module in IBM SPSS Statistics. Learn how to use correspondence analysis to examine the relationship of categorical data and display these relationships on perceptual maps. Learn about multidimensional scaling and preference scaling techniques to examine similarities and dissimilarities among objects such as product brands and features and customer preferences. These techniques are useful in any circumstance where you need to analyze and display graphically the correspondence among categorical data. The course will discuss the basic logic of these techniques, how to setup the analysis and examine the results using a variety of usage examples and hands-on exercises.

Programme

•Introduction to Correspondence Analysis and Perceptual Mapping
•Simple Correspondence Analysis of Counts Analyzing a Summary Table
Adding Supplementary Categories

•Multiple Correspondence Analysis
•Means-based Perceptual Maps
•Introduction to Multidimensional Scaling
•Individual Differences Multidimen... [Read More]

Classifying Customers Using IBM SPSS Modeler

Course Format: On-site
School/Trainer: Arrow Electronics IBM Training
Training Center(s)/Venue(s): Atlanta, Boston, Cleveland, Denver, Minneapolis, United States
  V

Introduction to Classifying Customers
•List three modeling objectives
•List two business questions that involve classifying customers
•Explain the concept of field measurement level and its implications for selecting a modeling technique
•List three types of models to classify customers
•Determine the classification model to use

Building Your Tree Interactively with CHAID
•Explain how CHAID grows a tree
•Build a customized model using CHAID
•Evaluate a CHAID model by means of accuracy, risk, response and gain
•Use the model nugget to score records

Building Your Tree Interactively with C&,R Tree and Quest
•Explain how C and R Tree grows a tree
•Explain how Quest grows a tree
•Build a model interactively using C and R Tree and Quest
•List two differences between CHAID, C and R Tree, and Quest

Building Your Tree Directly
•Customize two options in the CHAID node
•Customize two options in the C and R Tree node
•Customize two options in the Quest node
•Customize two options in the C5.0 node
•Use the Analysis node and the Evaluation ... [Read More]

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