Course Overview

This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing relationships. Students will gain an understanding of when and why to use these various techniques and how to apply them with confidence, interpret their output, and graphically display the results.

Virtual Learning

This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins.

Course Objectives

• Introduction to statistical analysis 
• Describing individual variables 
• Testing hypotheses 
• Testing hypotheses on individual variables 
• Testing on the relationship between categorical variables 
• Testing on the difference between two group means 
• Testing on differences between more than two group means 
• Testing on the relationship between scale variables 
• Predicting a scale variable: Regression 
• Introduction to Bayesian statistics 
• Overview of multivariate procedures

Course Content

Introduction to statistical analysis 
• Identify the steps in the research process 
• Identify measurement levels 

Describing individual variables 
• Chart individual variables 
• Summarize individual variables 
• Identify the normal distribution 
• Identify standardized scores 

Testing hypotheses 
• Principles of statistical testing 
• One-sided versus two-sided testing 
• Type I, type II errors and power 

Testing hypotheses on individual variables 
• Identify population parameters and sample statistics 
• Examine the distribution of the sample mean 
• Test a hypothesis on the population mean 
• Construct confidence intervals 
• Tests on a single variable 

Testing on the relationship between categorical variables 
• Chart the relationship 
• Describe the relationship 
• Test the hypothesis of independence 
• Assumptions 
• Identify differences between the groups 
• Measure the strength of the association 

Testing on the difference between two group means 
• Chart the relationship 
• Describe the relationship 
• Test the hypothesis of two equal group means 
• Assumptions 

Testing on differences between more than two group means 
• Chart the relationship 
• Describe the relationship 
• Test the hypothesis of all group means being equal 
• Assumptions 
• Identify differences between the group means 

Testing on the relationship between scale variables 
• Chart the relationship 
• Describe the relationship 
• Test the hypothesis of independence 
• Assumptions 
• Treatment of missing values 

Predicting a scale variable: Regression 
• Explain linear regression 
• Identify unstandardized and standardized coefficients 
• Assess the fit 
• Examine residuals 
• Include 0-1 independent variables 
• Include categorical independent variables 

Introduction to Bayesian statistics 
• Bayesian statistics and classical test theory 
• The Bayesian approach 
• Evaluate a null hypothesis 
• Overview of Bayesian procedures in IBM SPSS Statistics 

Overview of multivariate procedures 
• Overview of supervised models 
• Overview of models to create natural groupings

Course Overview

During this two-day interactive training course, attendees will learn best practices for using and administering the premium ServiceNow Platform Analytics application.

Virtual Learning

This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins.

Course Content

A combination of course content and lab work helps attendees learn to:

  • Use Platform Analytics Visualizations including Scorecards, Dashboards, Time Series, Targets, and Forecasts
  • Explore the Platform Analytics data structure
  • Manage Platform Analytics Roles
  • Generate Automated Indicators
  • Build Formula Indicators
  • Construct Breakdowns, Elements Filters, and Bucket Groups
  • Set up Data Collector Jobs
  • Work with Dashboards and Data Visualizations

Course Overview

This two-day training builds upon the knowledge obtained in the Platform Analytics Fundamentals course. Here you apply advanced reporting, platform analytics, and application administration skills to take your historic trends and measurements to the next level.

Virtual Learning

This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins.

Course Objectives

  • Learn how to apply advanced reporting, platform analytics, and application administration skills.
  • Take your historic trends and measurements to the next level.

Course Content

The following topics are discussed using a mix of labs and lecture:

  • Understanding the Platform Analytics Adoption Journey
  • Identify different Analytics Workspace components
  • Understanding Scripts in Indicator Aggregates, Buckets, and Mappings
  • Restricting Breakdown Element visibility with Allow List and Deny List 
  • Using various types of data sources to build data visualization in Platform Analytics
  • Use Advanced data visualization techniques for impactful data summaries
  • Building of more interactive dashboard in the Analytics Center
  • Create Filters using data sources and apply them to various Visualizations
  • Using Spotlight to identify high-priority work
  • Leveraging Metrics for Reporting and Metric Based Indicators
  • Applying Formula Indicator Techniques
  • Configuring Index Indicators and External Indicators
  • Mastering Analytics best practices and use cases for complex scenarios
  • Deploying Analytics solutions, performing diagnostics, and system administration

Course Overview

Would you like to understand how SAP systems function?

This course introduces the technology fundamentals of most SAP applications (incl. SAP S/4HANA and SAP Business Suite), how SAP systems function, as well as an introduction to different user interfaces, such as SAP Fiori or SAP GUI. The training contains hands-on exercises in an SAP S/4HANA system and other SAP applications. The course will also introduce learners to the SAP strategy and provides an overview of cloud topics.

After completing this course, users will have acquired the fundamental technology knowledge necessary to follow the learning path to their choice of business role ranging from SAP System administrator to developer to user interface expert or to project or program manager.

Virtual and Classroom learning – V&C Select™

V&C Select™ is a simple concept and a flexible approach to delivery. You can ‘select’ a course from our public schedule and attend in person or as a virtual delegate. Virtual delegates do not travel to this course, we will send you all the information you need before the start of the course and you can test the logins.

Course Objectives

This course will prepare you to:

  • Present in detail the architecture of SAP Application Server. The SAP Application Server is the central component of SAP S/4HANA and the SAP Business Suite.
  • Learn effective techniques for navigating
  • Receive an overview of the development process in an SAP system landscape
  • Understand the basics of the SAP strategy

Course Content

  • SAP portfolio overview
  • SAP systems
  • Navigation using SAP GUI, SAP Business Client, a web browser, and SAP Fiori
  • Explaining the architecture of an SAP system, AS ABAP and AS Java
  • Explaining the processes of an AS ABAP and AS Java based SAP system
  • Processing user requests in AS ABAP
  • Explaining the data structure of an AS ABAP-based SAP system
  • Software development in SAP systems
  • Communication and integration technologies (RFC, HTTP, and OData)
  • Application Lifecycle Management (ALM)
  • Describing the maintenance of an SAP system

Course Overview

This training replaces the training ADM315. You will learn about how to analyze and solve typical performance problems in the AS ABAP of SAP S/4HANA. The focus will be using tools offered within AS ABAP/ABAP Platform. The skills gained in this training are applicable on all SAP systems that use AS ABAP / ABAP Platform and are to predominantly NOT SAP S/4HANA-specific.

Course Objectives

This course will prepare you to:

  • Explain the internal processing of user requests within AS ABAP- based SAP systems
  • Find critical performance bottlenecks in AS ABAP / ABAP Platform
  • Solve selected performance problems that might occur in SAP S/4HANA and other SAP systems using AS ABAP

Course Content

  • Introduction to Workload Analysis
    • Understanding the Components of a Dialog Step
    • Analyzing Statistical Records and Data Information Flow
  • Analysis Monitors for monitoring System Performance
  • SAP Memory Management
    • Identifying the Memory Areas and Usage in SAP Systems
    • Implementing SAP Extended Memory
  • Hardware Capacity Verification & Identifying Hardware Bottlenecks
  • Analyzing Table Buffering in SAP Systems
  • Monitoring RFC Load
  • Short introduction to SAP HANA Cockpit
  • Short introduction to Root Cause Analysis offered by SAP Solution Manager

Course Overview

Please note that with the speed of updates to SAP Analytics Cloud, we endeavor to update this course quarterly. The course material will be delivered in English.

Course Objectives

This course will prepare you to:

  • This course provides the learner with the knowledge needed to create SAP Analytics Cloud (SAC) models.
  • Topics include modeling basics, dimensions and measures, import models, and live models integrating with SAP Systems and datasets.
  • The live model integrates SAP BusinessObjects, SAP Business Warehouse, SAP HANA Cloud, and S/4HANA.

Course Content

  • Explaining the basics of data structures in SAP Analytics Cloud
  • Designing and creating dimensions
  • Creating import models
  • Creating live models
  • Working with geographic data
  • Defining data security



Course Overview

Virtual and Classroom learning – V&C Select™

V&C Select™ is a simple concept and a flexible approach to delivery. You can ‘select’ a course from our public schedule and attend in person or as a virtual delegate. Virtual delegates do not travel to this course, we will send you all the information you need before the start of the course and you can test the logins.

Course Objectives

This course will prepare you to:

  • This course provides a high-level introduction and overview of SAP Analytics Cloud (SAC) capabilities as well as applications that interface with SAC.
  • Through expert demonstrations and hands-on exercises or simulations, learners are exposed to data connections,
  • both basic and advanced stories, data analyzer, Microsoft Office integration, modeling basics, planning basics, augmented analytics, and collaboration.

Course Content

  • Getting Started with SAP Analytics Cloud
  • Establishing Data Sources and Connections
  • Using Modelling
  • Using Basic and Advanced Stories
  • Using Planning
  • Using Basic Augmented Analytics in SAC
  • Using Collaboration Features

Course Overview

This course provides participants with a high-level overview of the IBM Cognos Analytics Dashboard tool and its underlying architecture. They will explore the powerful features of IBM Cognos Analytics dashboards to transform raw data into actionable insights. Through interactive lessons, practical exercises, and real-world scenarios, learners will gain the skills to create, customize, and share dynamic dashboards that drive data-informed decisions.

Learners will gain hands-on experience through exercises that enhance their ability to create and customize dashboards, stories, and explorations.

By the end of this course, learners should be proficient in creating and customizing dashboards, using Cognos Analytics tools and AI Assistant, integrating and visualize data from multiple sources, employing advanced features like 3D maps, forecasting, and drill-through definitions to enhance insights, and much more.

Virtual Learning

This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins.

Course Objectives

After completing this course, learners should be able to:

  • Customize dashboard visualizations
  • Explore and use AI Assistant for dashboard design
  • Select and integrate at least two different types of data sources into a dashboard
  • Customize a dashboard with widgets
  • Configure a dashboard with interconnected visualizations
  • Adjust the timeline of objects in a scene to control appearance and disappearance during playback
  • Create an exploration from a data source
  • Apply forecasting techniques to predict future trends using historical data in visualizations
  • Apply cascading filters to guide logical data exploration in dashboards

Course Content

Unit 1: Introduction to Dashboards

  • Define key features of dashboards
  • Identify dashboard interface components
  • Upload data files for dashboard creation
  • Customize dashboard visualizations
  • Explore and use the AI Assistant for dashboard design

Unit 2: Create a Basic Dashboard

  • Select and integrate at least two different types of data sources into a dashboard
  • Add visualizations to a dashboard using drag-and-drop, AI Assistant queries, and Pinned tabs
  • Customize a dashboard with widgets
  • Share a dashboard with custom configurations

Unit 3: Advanced Dashboard Functions

  • Implement filters into a dashboard
  • Configure a dashboard with interconnected visualizations
  • Use the Visualization feature to change the type of a chart in an advanced dashboard and customize the chart’s properties
  • Use the AI Assistant to generate relevant visualizations
  • Apply natural language queries and refine output with filters and aggregations

Unit 4: Create a Story

  • Create a basic story by adding scenes and integrating visualizations and animations
  • Adjust the timeline of objects in a scene to control appearance and disappearance during playback
  • Enhance a story by adding animations to objects and highlighting key data points to emphasize insights

Unit 5: Create an Exploration

  • Explain the purpose and advantages of using Explorations, including how they reveal insights and correlations
  • Create an exploration from a data source
  • Interact with the Relationship Diagram to filter unique fields, select starting points, and generate corresponding visualizations

Unit 6: Visualizations

  • Identify and describe at least five types of visualizations, including their appropriate use cases
  • Demonstrate how to configure a drill-through definition for a visualization in a dashboard
  • Apply forecasting techniques to predict future trends using historical data in visualizations
  • Create and import a custom visualization into a dashboard, ensuring its integration and usability

Unit 7: Features in Cognos Analytics 11.2

  • Demonstrate how to create and manipulate 3D hexbin maps
  • Customize visualization properties, such as bullet charts and axis-specific formatting in a dashboard
  • Apply cascading filters to guide logical data exploration in dashboards
  • Utilize and customize tooltip features to add context to data visualizations

Course Overview

This course provides participants with a high-level overview of the IBM Cognos Analytics suite of products and their underlying architecture. They will examine each component as it relates to an Analytics solution. Participants will be shown a range of resources to provide additional information on each product.

Virtual Learning

This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins.

Course Objectives

  • Consume content in IBM Cognos Analytics
  • Create reports in IBM Cognos Analytics
  • Create dashboards in IBM Cognos Analytics
  • Create metadata models in IBM Cognos Analytics
  • What’s new in Cognos V11.2
  • Compare IBM Cognos Analytics and IBM Cognos BI (Optional)
  • Explore IBM Cognos Analytics AI capabilities

Course Content

Unit 1. Introduction to IBM Cognos Analytics

  • Describe IBM Cognos Analytics offerings and its position within an Analytics solution
  • Describe IBM Cognos Analytics components
  • Describe IBM Cognos Analytics at a high level
  • Describe IBM Cognos Analytics security at a high level
  • Explain how to extend IBM Cognos Analytics

Unit 2. Consume content in IBM Cognos Analytics

  • Identify where consumers access IBM Cognos Analytics content
  • Use published reports
  • Drill through to related data
  • Run reports with options
  • Specify properties of an entry

Unit 3. Create reports in IBM Cognos Analytics

  • Create ad hoc reports and analyze data with IBM Cognos Analytics with Watson
  • Create professional reports in IBM Cognos Analytics with Watson
  • Import personal data by using Upload Files and Data Modules

Unit 4. Create custom dashboards in IBM Cognos Analytics

  • Describe IBM Cognos Analytics Dashboards
  • Explore navigation and general functionality
  • Create a dashboard from existing content
  • Modify an existing dashboard

Unit 5. Create metadata models in IBM Cognos Analytics

  • Describe the capabilities and role of IBM Cognos Framework Manager
  • Describe Web-based modeling
  • Create Data Modules

Unit 6. What’s new in Cognos v11.2

  • Describe new features in Cognos Analytics
  • Describe support for mobile
  • Describe new navigation paths
  • Describe IBM Carbon user experience
  • Describe expanded job options
  • Describe enrichment enabled for OLAP
  • Describe dashboard enhancements
  • Describe home page and content navigator

Unit 7. Compare IBM Cognos Analytics to IBM Cognos BI (Optional)

  • Describe new features in Cognos Analytics
  • Describe Changes from Cognos BI to Cognos Analytics
  • Examine the Legacy option
  • Examine Event Studio and its role in Performance Management
  • Track initiatives with projects

Unit 8. Explore IBM Cognos Analytics AI Capabilities

  • Describe the AI capabilities in Cognos Analytics
  • Define the benefits of the embedded AI capabilities in Cognos Analytics
  • Explore the AI capabilities in Cognos Analytics

Course Overview

After completing this Oracle R12 Reporting (FSG & Report Manager) course delegates will be able to create and submit both standard and customized reports using data within the General Ledger module. The focus is on working with the capabilities of the Financial Statement Generator within Oracle R12 General Ledger to build a suite of reports from a set of pre-defined report components. The Report Manager section of the course shows how to publish and analyse these reports and apply security where required.

Course Objectives

By the end of this Oracle R12 Reporting course,delegates will be able to build a financial report using both the mandatory and optional report components provided by the Financial Statement Generator. They will practice running and modifying such reports. They will use Report Manager as a publishing and analysis tool where a higher standard of presentation is required together with the capability to drill down to individual sub-ledger transactions.

Course Content

Oracle R12 Reporting (FSG & Report Manager) Training Course

Course Contents – DAY 1

Course Introduction

  • Administration and Course Materials
  • Course Structure and Agenda
  • Delegate and Trainer Introductions

Session 1: AN OVERVIEW OF REPORTING TOOLS

  • Oracle General Ledger Reports
  • Oracle General Ledger Standard Reports
  • Financial Statement Generator
  • Oracle Financial Analyzer
  • Oracle Discoverer
  • Rxi Reports Administration Tool
  • Oracle Reports
  • SQL Reports
  • Report Manager
  • Comparison of Reporting Tools

Session 2: STANDARD GENERAL LEDGER REPORTS

  • Overview
  • Concurrent Manager
  • Concurrent Processing Definitions
  • Useful Standard Reports
  • Submit Request Flow
  • Run a Standard General Ledger Report
  • Scheduling Options
  • Completion Options
  • View Requests

Session 3: THE FINANCIAL STATEMENT GENERATOR

  • Introduction to FSG Reporting
  • FSG Components
  • Plan a FSG Report
  • Use Row and Column Sets
  • Define Row Sets
  • Define Column Sets
  • Generate an ad hoc FSG Report
  • Define a FSG Report
  • Run a FSG Report
  • Use a Content Set

Session 4: REPORTING WITH REPORT MANAGER

  • Overview of Report Manager
  • Report Manager structure and access
  • Publish a report to Reports Repository
  • View a report in Reports Repository
  • Publish a report from eBusiness Homepage
  • Analyse a Financial Report with Report Manager

Session 5: FSG EXERCISES

  • Define a Row Set
  • Define a Column Set
  • Define an FSG Report
  • Run an FSG Report
  • View Report Requests
  • Define a Content Set
  • Define Display Groups and Display Sets
  • Define a Row Order

Session 6: REPORT MANAGER EXERCISES

  • Publish a Report from a Form Function
  • Analyse Report Output
  • Export Analysis to MS Excel
  • View a Report from Repository Management