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Sitecore Training – The only Course you need

Sitecore Training – The only Course you need

⏰36 hours | ▶️ 36 Videos | 📣 48 Participants | 🔥 27 Reviews

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Course Description

Sitecore’s training course teaches individuals and developers how to create and install Sitecore as their web infrastructure.

Participants can take advantage of the Sitecore platform’s capabilities and functionality by learning best practices for using Sitecore.

The Sitecore training course will give participants a fundamental overview of the Sitecore platform, including installation, page, content item creation and management, and integration with third-party apps.

In addition, Sitecore training covers using Sitecore’s marketing skills to develop a solid online presence.

Hands-on activities and extensive training will teach participants how to implement and optimize Sitecore’s powerful features.

Overall, the Sitecore training course is a thorough and instructive way to learn how to maximize Sitecore’s potential.

Participants may expect to learn knowledge and skills to create and manage powerful websites, optimize marketing efforts, and expand their Sitecore experience.

After completing the Sitecore training session, participants can reflect on their Sitecore experience and make smarter decisions about using the platform at an organizational level.

Sitecore online training is an immersive program that will teach you all you need to know about Sitecore and how to utilize it.

You’ll learn about the Sitecore platform and how to successfully plan and develop a website using Sitecore’s features and capabilities.

Sitecore Certification is designed to recognize various IT skills and knowledge.

The Sitecore certification program includes numerous levels and tracks identifying resources with experience in Sitecore administration and development, data science and analytics, and marketing automation.

Certification is available for people who create, install, and administer all aspects of the Sitecore platform.

Sitecore also offers courses to help IT professionals, marketers, and content creators demonstrate their competence and deepen their grasp of the platform.

All certificates allow holders to join the Sitecore community and contribute to the technology stack.

Sitecore classes introduce students to the powerful experience platform.

Students will learn how to use Sitecore to generate, maintain, and enhance content to meet the specific demands of each customer.

They will create personalized customer journeys, strengthen engagement, and expand on the platform’s fundamental features.

Students will obtain a complete understanding of the platform by investigating Sitecore capabilities such as item structures, content management, marketing automation, customization, analytics, and more.

All Sitecore classes are provided online with real-world examples to help students learn.

This Sitecore class course description accurately describes what students will study.

This Sitecore interview Q&A helps job candidates prepare for Sitecore interviews.

It covers the technology, advises key issues, asks extensive questions to assess a candidate’s knowledge and skills, and offers ideas to improve performance.

The Q & A is a fantastic resource for Sitecore job seekers, providing written and video resources, blogs & materials.

Sitecore Training in CloudFoundation is an online program that teaches people how to use the Sitecore Content Management System (CMS).

Students will also learn how to use the latest tools and strategies for creating, managing, and providing content for digital channels.

The lesson will also focus on best practices for using the Sitecore CMS to increase ROI.

Course Content

1.Introduction

  • Why Site core
  • Feature of Site core
  • Uses of Site core
  • What is CMS? Why do we need one?

2.Installation

  • Sitecore Installation on local machine
  • Sitecore simple architecture
  • Sitecore Installation – Places it affects
  • Sample page creation

3. How to Install Site core

  • Manual
  • Installation Wizard

4. Sitecore Databases

  • Core
  • Master
  • Web

5.Sample Application with Visual Studio

6.Templates in Sitecore

7.Fields in Sitecore

  • Overview of all fields

8.Layout and sub-layouts

9.Items in Site core

10.Working with Items

  • How to access and item
  • How to Access the Children of an Item
  • How to Access the Parent of an Item

11.Introduction of Sitecore Ribbon

  • Home
  • View
  • Presentation
  • Configuration etc.

12.Standard and default value

13.Data Validation

  • Validation Overview
  • Types of Validation
  • Validation Error Levels
  • Configuring Validation Rules

14.Overview of the Sitecore Context

  • The Context Item
  • The Context Site
  • The Home Item of the Context Site
  • The Context Database
  • The Context Language
  • The Context Domain
  • The Context User
  • The Context Raw URL
  • The Context Page Mode

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SPSS Training – The only Course you need

SPSS Training – The only Course you need

⏰36 hours | ▶️ 36 Videos | 📣 48 Participants | 🎓 3915 Reviews | 4.8 ⭐⭐⭐⭐⭐

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Course Description

In SPSS Training, students learn introductory classes about how to use SPSS.

Those who are unfamiliar with SPSS the SPSS course covers every aspect of SPSS, from data input and export to data manipulation, descriptive statistics, data analysis techniques, and charting and reporting findings.

The SPSS online course is divided into parts that cover everything from different file kinds and data sources to generating data files and setting up analysis parameters, building data reports, and analyzing their results.

The SPSS training emphasizes building practical skills and real-world applications by providing hands-on examples of each topic.

Students can confidently utilize SPSS in their research and data analysis projects after the course.

Students may also evaluate data, write valuable reports, and communicate findings to a broader group.

SPSS training is an introductory course for students who want to learn how to reliably use SPSS for data analysis.

SPSS course focuses on building practical skills and real-world applications while providing extensive, hands-on education.

SPSS Training is an excellent course for individuals who wish to learn about SPSS and obtain expertise in data analysis.

SPSS Online Training is an online course that teaches the fundamentals of data analysis using the SPSS program.

SPSS course is designed for students, researchers, and professionals using SPSS for data analysis & aims to teach students how to use the SPSS program for analyzing data.

SPSS class is meant to give students a thorough introduction to the sophisticated statistics software program.

SPSS course will cover the fundamentals of data input, hypothesis testing, data analysis, and charts and graphs.

Students will be able to understand and report SPSS results and develop SPSS models and data sets after completing the course.

This course is appropriate for students with an introductory statistics background who want to expand their knowledge and abilities in data-driven decision-making.

Those who do not have a foundation in statistics are urged to take an introductory statistics course before taking this SPSS seminar.

SPSS online course is accessible in both online and in-person forms and requires a computer with access to a copy of the SPSS program.

SPSS online class includes video lectures, a discussion room, and tests. The in-person session consists of weekly lectures and hands-on exercises.

SPSS Certification program allows users to show software expertise while increasing their abilities and marketability.

It comprises tutorials, tests, and certifications at the mastery level.

The SPSS Certification program aims to give professionals the skills and information they need to use the SPSS software to analyze data.

The SPSS interview Q & A contains complete questions and answers about the Statistical Package for Social Sciences (SPSS) program.

Installation, data types, importing data, data manipulation, statistical analyses, exporting results, and other subjects are covered.

The guide also has videos, links, blogs & materials for these tutorials. It is intended to assist researchers, analysts, and data scientists in becoming acquainted with the SPSS software.

CloudFoundation offers SPSS training for predictive and data analysis. Our SPSS Training teaches data analysis, interpretation, and application through self-paced video lessons and activities.

You’ll also learn to utilize SPSS to analyze data using sophisticated logistic regression and cluster analysis methods.

Our SPSS Training will boost your SPSS confidence and data analysis skills.

Course Content

1.Research methods

  • Statistics
  • The Research Process
  • Initial Observation
  • Generate Theory
  • Generate Hypotheses
  • Data collection to Test Theory
  1. What to measure
  2. How to Measure
  • Analyze data
  • Descriptive Statistics: Overview
  • Central Tendency
  • Measure of variation
  • Coefficient of Variation
  • Fitting Statistical Models
  • Conclusion

2.Statistics

  • Building statistical models
  • Types of statistical models
  • Populations and samples
  • Simple statistical models
  • The mean as a model
  • The variance and standard deviation
  • Central Limit Theorem
  • The standard error
  • Confidence Intervals
  • Test statistics
  • Non-significant results and Significant results:
  • One- and two-tailed tests
  • Type I and Type II errors
  • Effect Sizes
  • Statistical power

3.SPSS Environment

  • Accessing SPSS
  • To explore the key windows in SPSS
  1. Data editor
  2. The viewer
  3. The syntax editor
  • How to create variables
  • Enter Data and adjust the properties of your variables
  • How to Load Files and Save
  • Opening Excel Files
  • Recoding Variables
  • Deleting/Inserting a Case or a Column
  • Selecting Cases
  • Using SPSS Help

4. Exploring data with graphs

  • The art of presenting data
  • The SPSS Chart Builder
  1. Histograms: a good way to spot obvious problems
  2. Boxplots (box–whisker diagrams)
  • Graphing means: bar charts and error bars
  1. Simple bar charts for independent means
  2. Clustered bar charts for independent means
  3. Simple bar charts for related means
  4. Clustered bar charts for related means
  5. Clustered bar charts for ‘mixed’ designs
  • Line charts
  • Graphing relationships: the scatterplot
  1. Simple scatterplot
  2. Grouped scatterplot
  3. Simple and grouped -D scatterplots
  4. Matrix scatterplot
  • Simple dot plot or density plot
  • Drop-line graph
  • Editing graphs

5. Exploring assumptions

  • What are assumptions?
  • Assumptions of parametric data
  • The assumption of normality
  • Quantifying normality with numbers
  • Exploring groups of data
  • Testing whether a distribution is normal
  • Kolmogorov–Smirnov test on SPSS
  1. Output from the explore procedure
  2. Reporting the K–S test
  • Testing for homogeneity of variance
  1. Levene’s test
  2. Reporting Levene’s test
  • Correcting problems in the data
  1. Dealing with outliers
  2. Dealing with non-normality and unequal variances
  3. Transforming the data using SPSS

6.Correlation

  • Looking at relationships
  • How do we measure relationships?
  1. Covariance
  2. Standardization and the correlation coefficient
  • The significance of the correlation coefficient
  • Confidence intervals for r
  • Correlation in SPSS
  1. Bivariate correlation
  2. Pearson’s correlation coefficient
  3. Spearman’s correlation coefficient
  4. Kendall’s tau (non-parametric)
  5. Biserial and point–biserial correlations
  6. Partial correlation
  7. The theory behind part and partial correlation
  8. Partial correlation using SPSS
  9. Semi-partial (or part) correlations
  • Comparing correlations
  • Comparing independent rs
  • dependent rs
  • Calculating the effect size
  • How to report correlation coefficients

7.Regression

  • An introduction to regression
  • Some important information about straight lines
  • The method of least squares
  • Assessing the goodness of fit: sums of squares, R and R2
  • Doing simple regression on SPSS
  1. Interpreting a simple regression
  2. Overall fit of the model
  3. Model parameters
  4. Using the model
  • Multiple regression: the basics
  1. An example of a multiple regression model
  2. Sums of squares, R and R2
  3. Methods of regression
  4. How accurate is my regression model?
  5. Assessing the regression model, I: diagnostics
  6. Assessing the regression model II: generalization
  • How to do multiple regression using SPSS
  1. Some things to think about before the analysis
  2. Main options
  3. Statistics
  4. Regression plots
  5. Saving regression diagnostics
  6. Interpreting multiple regression
  • Descriptive
  1. Summary of model
  2. Model parameters
  3. Excluded variables
  4. Assessing the assumption of no multicollinearity
  5. Case wise diagnostics
  • Checking assumptions
  1. What if I violate an assumption?
  2. to report multiple regression

8.Categorical predictor in multiple regression

  • Dummy coding
  • SPSS output for dummy variables

9.Logistic regression

  • Background to logistic regression
  • What are the principles behind logistic regression?
  • Assessing the model: the log-likelihood statistic
  • Assessing the model: R and R2
  1. The Wald statistic
  2. The odds ratio: Exp (B)
  • Methods of logistic regression
  1. Assumptions
  2. Incomplete information from the predictors
  3. Complete separation
  4. Overdispersion
  5. Binary logistic regression
  6. The main analysis
  7. Method of regression
  8. Categorical predictors
  9. Obtaining residuals
  • Interpreting logistic regression
  1. The initial model
  2. Step: intervention
  3. Listing predicted probabilities
  4. Interpreting residuals
  5. Calculating the effect size
  • How to report logistic regression
  • Testing assumptions
  1. Testing for linearity of the logit
  2. Testing for multicollinearity
  • Predicting several categories: multinomial logistic regression
  • Running multinomial logistic regression in SPSS
  1. Statistics
  2. Other options
  3. Interpreting the multinomial logistic regression output
  4. Reporting the results

10.Comparing two means (t-test)

  • Looking at differences
  • A problem with error bar graphs of repeated-measures designs
  1. Step: calculate the mean for each participant
  2. Step: calculate the grand mean
  3. Step: calculate the adjustment factor
  4. create adjusted values for each variable
  • The t-test
  • Rationale for the t-test
  1. Assumptions of the t-test
  2. The dependent t-test
  3. Sampling distributions and the standard error
  4. The dependent t-test equation explained
  5. The dependent t-test and the assumption of normality
  6. Dependent t-tests using SPSS
  7. Output from the dependent t-test
  8. Calculating the effect size
  • Reporting the dependent t-test
  1. The independent t-test
  2. The independent t-test equation explained
  3. The independent t-test using SPSS
  4. Output from the independent t-test
  5. Calculating the effect size
  • Reporting the independent t-test
  • Between groups or repeated measures?
  • The t-test as a general linear model

11.Comparing several means: ANOVA (GLM)

  • The theory behind ANOVA
  • Inflated error rates
  • Interpreting f-test
  • ANOVA as regression
  1. Logic of the f-ratio
  2. Total sum of squares (SST)
  3. Model sum of squares (SSM)
  4. Residual sum of squares (SSR)
  5. Mean squares
  6. The f-ratio
  • Assumptions of ANOVA
  • Planned contrasts
  • Post hoc procedure
  • Running one-way ANOVA on SPSS
  • Planned comparisons using SPSS
  • Post hoc tests in SPSS
  1. Output from one-way ANOVA
  2. Output for the main analysis
  3. Output for planned comparisons
  4. Output for post hoc tests
  5. Calculating the effect size
  6. Reporting results from one-way independent ANOVA
  7. Violations of assumptions in one-way independent ANOVA

12.Chi-square

  • Analyzing categorical data
  • Theory of analyzing categorical data
  1. Pearson’s chi-square test
  2. Fisher’s exact test
  • The likelihood ratio
  • Yates’ correction
  • Assumptions of the chi-square test
  • Doing chi-square on SPSS
  1. Running the analysis
  2. Output for the chi-square test
  3. Breaking down a significant chi-square test with standardized residuals
  4. Calculating an effect size
  • Reporting the results of chi-square

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QlikSense Training – The only Course you need

QlikSense Training – The only Course you need

⏰24 hours | ▶️ 24 Videos | 📣 7915 Participants | 🎓 3485 Reviews | 4.8 ⭐⭐⭐⭐⭐

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Course Description

QlikSense the modern analytical platform designed to help you create a data analytical workforce and transform your business.

It united the power of Artificial intelligence with the creativity of human intelligence.

We CloudFoundation successively offering you the QlikSense training with complete course guidance
We train you here with virtual classes on weekdays and weekends under our expert trainers.

There are three primary certifications on Qliksense as Qlik sense business analyst, data analyst, and system administrator.

By learning QlikSense, anyone can create Analytics as simple as drag and drop to visualize your data under governed self-service environment.

And we guide you with instructions for clearing your exam for certifications and pursuing your dream job as a data analyst.

Course Content

1.Introduction & Installation

  • What is QlikSense?
  • Comparing Qlik Sense Desktop with Qlik Sense
  • Installing Qlik Sense Desktop
  • How Qlik Sense varies from QlikView?
  • Starting with QlikSense Desktop
  • Opening an app with QlikSense
  • QlikSense Architecture

2.Starting QlikSense

  • Navigating in the user interface
  • Data Manager
  • Data Load Editor
  • Data Model Viewer
  • Interacting with the user interface
  • Creating apps and Visualizations
  • Structuring an app with Sheets

3.Designing Visualizations

  • Different type of Visualizations
  • Dimensions and Measures in a CHART
  • When to use and What Chart to Use
  • Selections in a Visualization
  • Settings and Properties of each Visualization

4.Using Expressions in Visualization

  • Expressions, Functions and Variables
  • Working with Expression Editor
  • Using Functions in Charts
  • Using Variables in Expressions
  • Set Analysis and Set Expressions
  • Working with Master Items

5.Manage Data

  • Adding data from files and databases
  • Loading data with the data load script
  • Data Connections
  • Various types of Data loads
  • Profile Data with QlikSense
  • Troubleshooting

6.Creating a Data Model

  • Qlik Sense Data Architecture
  • Creating Star and Snowflake schemas
  • Use of Joins, Keeps, Concatenate etc.
  • Understanding QVD layer
  • Working on synthetic keys and circular references.

7.Advanced Data Modelling

  • Qlik Sense Star Schema
  • Link Table
  • Dimensions Table
  • Master Calendar
  • Optimizing data models
  • Best Practices of Data Modelling

8.Collaborate in QlikSense

  • Data Storytelling
  • Publishing
  • Exporting and Printing
  • Advanced Scripting and Chart Functions
  • Qlik Tips and Techniques

9.Qlik Sense Security

  • Learning about Qlik Sense App and its security features
  • Providing Qlik Sense access to user sets
  • Qlik Sense Security rule code

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Primavera Training – The only Course you need

Primavera Training – The only Course you need

⏰24 hours | ▶️ 24 Videos | 📣 49 Participants | 🔥11 Reviews

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Course Description

So you want to learn Ping Access Training? Great job!

Do you know Ping Access Training  is the most trending Analytics course?

There are massive opportunities in Ping Access Training as it leads the Analytics market.

Our Ping Access Training course is a job oriented course ie at the end of the course you can
easily clear interviews or on board into an ongoing Ping Access Training project.

Also the salaries in Ping Access Training is very impressive (Indeed.com report)

Course Content

Introduction to Primavera

  • Introduction about PPM Concepts
  • Project, Program and portfolio
  • About Primavera P6
  • Primavera P6 Professional GUI

Creation of Project

  • Creation of Project in Primavera and Project settings
  • Calendar
  • WBS
  • Activities

Relationships and Analysis

  • Relationships/Logics
  • Critical path method as a scheduling tool
  • DCMA Analysis
  • Constraints and codes

Resource

  • Roles and Resource
  • Resource Assignment
  • Resource analysis and resource leveling
  • Setting up Baseline

Updating Project and Reports

  • Updating Project, Automatic and manual update
  • Monitoring and controlling using EVA
  • Generating reports in Primavera, tabular and graphical reports
  • Miscellaneous: Global change, UDF, top down estimation, P6
  • visualizer, reflection.

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Oracle Fusion SCM Training – The only Course you need

Oracle Fusion SCM Training – The only Course you need

⏰24 hours | ▶️ 24 Videos | 📣 9872 Participants | 🎓 4729 Reviews | 4.9 ⭐⭐⭐⭐⭐

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Course Description

Oracle Fusion SCM Training emerged with tremendous benefits.

All major supply chain processes are combined and automated by Oracle Fusion Supply Chain Management.

Online Classes are good and even better than in-person classes. So guys, Join in that and have the most out of your training.

You will Learn the refreshed Cloud-based application introduced by Oracle.

You can go through multiple levels of Certification exams, and you get awarded with your learning possibilities.

Course Content

1.Introduction to Oracle Cloud

  • SAAS, PAAS and IAAS Overview
  • Oracle SCM Cloud Capabilities: Overview
  • Navigation Basics
  • Resources

2.Introduction to Functional Setup Manager and Quick Setup

  • Implementation Planning
  • Roles and Responsibilities
  • Offerings
  • Implementation Considerations
  • SCM Simplified Setup: Overview
  • Automated Setup of SCM Common Components
  • Simplified Setup: Time Savings
  • Best Practices

3.Enterprise Structure Overview

  • Walkthrough on Enterprise Structure
  • Differentiate E-Business Suite and Cloud Org Structure
  • Business Unit Overview
  • Business Unit Implementation

4.Product Data Hub Cloud Implementation

  • Introduction to Product Hub

    • Features of Product Hub
    • Key benefits of using Product Hub
    • Product Hub functionality architecture
    • Basics of navigation in Fusion Applications interface

5.Introduction to Functional Setup Manager

  • Functional overview of Functional Setup Manager
  • Roles and responsibilities
  • Implementing a Product Hub offering using Functional Setup Manager

6.Performing Initial Setup for Creating Items

  • Creating item organizations
  • Item class concepts
  • Creating item classes

7.Data Discovery - Creating Items

  • Item terminologies
  • Item setup tasks
  • Creating items
  • Implementing item relationships

8.Setting up Item Attributes

  • Item attributes
  • Defining and assigning EFF attribute groups

9.Creating Catalogs

  • Overview of catalogs and categories
  • Creating and publishing catalogs

10.Performing Item Mass Updates

  • Item Mass update functionality
  • Item class updated through excel

11.Creating Structures and Packs

  • Overview of structures
  • Creating a product structure
  • Overview of packs
  • Creating a pack

12.Setting Up New Item Requests

  • Overview of new item requests
  • Configuring new item requests
  • Creating and managing new item requests
  • Change Order Approval Workflows

13.Defining Item Rules

  • Overview of item rules concepts
  • Creating item rules

14.Inventory Management Cloud Implementation

  • Inventory Overview

    • How Inventory Fits into Oracle’s SCM Cloud Offering
    • Oracle’s SCM Cloud Progress
    • Oracle Inventory Management Cloud Capabilities: Overview

15.Inventory Transaction Setup

  • Inventory Transaction Uses
  • Inventory Transaction Sources and Types
  • System- and User-defined Inventory Transaction Types
  • Inventory Transaction Setup Tasks
  • Inventory Transaction Profile Options

16.Lot and Serial Number Control

  • Lot Control: Overview
  • Lot Control Organization Parameters
  • Lot Control Item Attributes
  • Lot Management
  • Serial Number Control
  • Lot and Serial Number Control Profile Options

17.Inventory on Hand and Availability

  • On-Hand Quantity and Availability
  • Manage Item Quantities Page
  • Reservations

18.Warehouse Receiving

  • Receiving: Overview
  • Receipt Routing
  • Receipt Processing Methods
  • Expected Receipts
  • Receipt Structure
  • Returns and Corrections
  • Additional Receiving Features
  • Receiving Parameters

19.Issue and Transfer Material

  • Inventory Transactions: Overview
  • Miscellaneous Transactions
  • Sub inventory Transfers
  • Movement Requests – Approval check
  • Direct and In-Transit Inter-organization Transfers

20.Plan Inventory Replenishments

  • Explain Min-Max Planning
  • Min-Max Planning Report Parameters: Points to Consider
  • Min-Max Planning Replenishment Quantities: How They Are Calculated

21.Perform Cycle Counting

  • Cycle Counting: Explained
  • ABC Analysis
  • Create and Manage Cycle Counts
  • Generate Count Schedules
  • Generate Count Sequences

22.Manage Physical Inventories

  • Analyze Materials Management and Logistics Performance
  • Monitor Warehouse Operations Dashboard

23.Introduction to Cost Management

  • Overview of Cost Management
  • Cost Planning

24.Setting Up Cost Org and Perform Costing

  • Creation of Cost Organization
  • Creation of Cost books and Valuation Structure
  • Manage Cost Elements and Cost Profile
  • Demo on Costing method

25.Oracle Procurement Cloud Implementation

  • Procurement Application Overview

    • Explain Procurement architecture and components
    • Explain simplified Procure to Pay flow
    • Explain Procurement applications integration

26.Set Up the Procurement Common Functions

  • identify common procurement tasks
  • Configure required common procurement tasks
  • Identify common purchasing tasks
  • Configure required common purchasing tasks

27.Define and Manage Suppliers

  • Explain purpose and use of Supplier Model within Fusion Procurement
  • List the benefits provided to suppliers by Fusion Supplier Portal
  • Explain the methods available for registering suppliers
  • Identify the job roles available to the supplier self-service administrator to provision
  • Implement Supplier Model and Supplier Portal

28.Define Approval Management

  • Understand the approval management workflow
  • Set up approval management
  • Understand approval policy configuration
  • Describe steps for defining approval groups
  • Manage, edit, and deploy approval rules
  • Create approval rule conditions

29.Set Up the Procurement Common Functions

  • Identify common procurement tasks
  • Configure required common procurement tasks
  • Identify common purchasing tasks
  • Configure required common purchasing tasks

30.Manage Requisitions

  • Understand the basics of requisition management
  • Manage requisitions
  • Create and modify approved orders

31.Manage Purchase Orders

  • Understand the components and use of purchase orders
  • Create purchase orders
  • Maintain purchase orders
  • Understand setup options related to purchase orders

32.Administer Procurement Catalogs

  • Identify Self Service Procurement setup tasks and profile options
  • Manage value sets and descriptive flex fields for information templates
  • Create, manage, and secure catalogs
  • Understand Supplier Content Map Sets
  • Create local and informational catalogs
  • Create and manage public shopping lists
  • Create and manage smart forms
  • Understand content zones

33.Order Management Cloud Implementation

  • Course Introduction

    • Oracle Order-to-Cash Cloud Overview
    • Demo with a Standard Order – O2C Cycle
    • Demo with Return Order

34.Pricing

  • Pricing Strategies
  • Price Lists
  • Discount Lists
  • Shipping Charge Lists

35.Order Promising

  • Global Order Promising
  • Order Promising Rules
  • Key Order Promising Functionality
  • Data Collection and Global Order Promising Administration

36.Orchestration

  • Defining Orchestration
  • Managing Orchestration Statuses
  • Change Management and Process Assignment
  • Orchestration Process Planning, Deployment, and Jeopardy
  • Defining Processing Constraints and Hold Codes

37.Shipping

  • Introduction to Shipping
  • Shipping – Basic Setup
  • Pick Wave Management
  • Pick Confirmation
  • Ship Confirm

38.Reporting and Business Intelligence for SCM

  • Explain Reporting and Business Intelligence for SCM
  • Configure OTBI, RTF Templates for Trading documents, Dashboard metrics

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Informatica PIM REST API Training – The only Product Information Management Course you need

Informatica PIM REST API Training – The only Product Information Management Course you need

⏰16 hours | ▶️ 14 Videos | 📣 31 Participants | 🔥13 Reviews

Choose a Plan that Works for You

Course Description

So you want to learn Informatica PIM? Great job!

Do you know Informatica PIM is the most trending Product Information Management course?

There are massive opportunities in Informatica PIM as it leads the Product 360 market.

Our Informatica PIM course is a job oriented course ie at the end of the course you can
easily clear interviews or onboard into an ongoing Informatica PIM project.

Also the salaries in Informatica PIM is very impressive (Indeed.com report)

Course Content

1. What is PIM?

 

2. What is Informatica PIM?

 

3. Informatica PIM Introduction and Overview

 

4. Data Model of PIM and it’s Repository?

 

5. Different Perspectives and Views in PIM

 

6. Supplier and Master Catalogs and their usage?

 

7. Imports & Exports in PIM

 

8. Structures in PIM

 

9. What are Workflows and Tasks and how to create them?

 

10. What is Assortments & Process Overview?

 

11. What are User & User Groups and how to create them?

 

12. Data Model Customizations

 

13. Extension Creation and Explanation

 

14. How to Customize Imports?

 

15. How to Customize Exports?

 

16. How to create System Jobs?

 

17. Synchronizing Supplier and Master Catalogs

 

18. UI Additions and Enhancements

 

19. How to create HTML Previews?

 

20. How to create Structure Hierarchy?

 

21. How to create Dynamic Enumerations?

 

22. Command Framework and its usage

 

23. What Rest API in PIM and how to use them?

 

24. Explanation on PIM Integration with modules

 

FAQ’s

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