CoursesAnalytics SAP Analyytics Cloud
A011

SAP Analyytics Cloud

This course provides thorough SAP programming language training, empowering learners to customize applications, optimize processes, and meet organizational goals efficiently in SAC.

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duration

13 Weeks

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NEXT BATCH

Apr 01, 2024

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mode

Online

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payment options

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Programoverview

Program Overview

Transform with SAP Analytics Cloud (SAC) course. Harness data analytics and visualization in the cloud, crafting interactive dashboards, analyzing trends, and predicting outcomes for career advancement.

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Career Advancement

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Cloud-Based Analytics

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Cloud-Based AnalyticsInteractive Dashboards

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Predictive Analytics

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Eligiblility

There are typically no strict eligibility requirements for taking this course. Basic knowledge of data analysis and familiarity with SAP systems may be beneficial but are not always required.

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Why should you learn?

Master interactive dashboard creation, data analysis, and predictive analytics with this course, empowering informed decision-making and enhancing business performance using SAP's cloud-based analytics platform.

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Possible Job Roles

SAP Analytics Cloud-certified professionals can excel in roles such as Data Analysts, Business Intelligence Specialists, Business Analysts, and Analytics Consultants.

Salary Range

4 to 15 Lakhs Per Annum

Course-modules

Course Modules

13 Weeks COURSE

5 hours

Overview and Positioning

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Empowers businesses with advanced analytics, planning, and predictive capabilities for informed decision-making, fostering agility and efficiency across all operational levels.
  • Analytics Cloud Architecture Overview

  • SAC vs other BI tools

  • Benefits and core functionalities of SAC

  • Cloud vs On-Premise vs Hybrid

  • Analytics Cloud Client tools and Importance

8 hours

Modeling

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Comprehensive cloud-based analytics platform offering data visualization, planning, predictive analytics, and business intelligence capabilities for informed decision-making.
  • What is MODEL

  • Components of MODEL

  • Working with Dimension and Classification

  • Configuring Geo-Dimension

  • Working with Measures

  • Working with Transformations

  • Working with Variables

  • Data Blending

23 hours

Business Intelligence

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This module enables data analysis, visualization, and reporting, fostering informed decision-making through intuitive dashboards, predictive analytics, and data integration capabilities.
  • Designing SAC Stories

  • Working with Custom Templates

  • Working with Standard Templates

  • Working with Canvas-Responsive and Grid modes

  • Working with Designer (Builder panel, Styling Panel)

  • Filters in SAC

  • Query level filters

  • Story level filters

  • Page-level filters

  • Widget level filters

  • Advanced Filters

  • Linked Analysis

  • Hyperlinking

  • Conditional Formatting

  • Customizing Measures

  • Customizing Dimensions

  • Data blending

  • Working with Chart widget

  • Working with a Table widget

  • Working with Geo Map widget

  • Working with Geo Map widget

  • Generating R based Stories

  • Import data connection from Google drive

4 hours

Augmented Analytics

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This modul enhances data analysis with AI, automating insights, predictions, and recommendations, fostering data-driven decisions.
  • What is Augmented Analytics

  • Smart Search

  • Smart Discovery

  • Smart Insights

11 hours

Planning with SAC

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This module covers advanced planning, offering collaborative, AI-driven forecasting, budgeting, and scenario modeling for agile decision-making in real-time.
  • How to develop planning data models in SAC

  • Understand measures, accounts, hierarchies, currency conversion

  • Manage versions of planning

  • Create planning stories

  • Planning functions - variance, forecast, version management

  • What if analysis

  • Allocations

  • Spreading and Distributions

  • Value Driver Tree- VDT

  • Data actions and insights

  • Collaboration

16 hours

Analytics Designer

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This module enables creation of custom, interactive analytics applications with advanced visualizations, data manipulation, and integration capabilities for tailored business insights.
  • What is Analytics Designer

  • Difference between SAC Stories vs Analytics Designer

  • Analytics Designer overview and walkthrough

  • Outline, Designer, Error, and reference panels

  • Design mode vs Run mode vs View mode

  • Designing basic Analytic application

  • Working with Container widgets

  • Implementing filters

  • Working with Drop-down, Radio button, Checkbox components

  • Working with script variables

  • Working with script objects

  • Configuring and implementing Dynamic Visibility

  • Implementing Hyper linking and Explorer option

  • Using APIs to integration with Smart discovery, smart insights

  • Embedding the WebPages inside the Analytic designer

  • Embedding SAC app inside other WebPages

13 hours

Predictive Scenario

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Streamline data analytics, visualization, and reporting with SAP Analytics Cloud, enabling real-time insights for informed decision-making.
  • Predictive scenario overview

  • SAC Stories vs SAC Applications vs SAC Predictive

  • Working with Datasets, Variables

  • Understand Regression

  • Understand Logistic Regression, RoC Curves, AUC Curve

  • Model performance and Confusion Matrix

  • Profit Simulation for Classification

  • Implementing Classification Precative Model

  • Implementing Regression Predictive Model

  • Residual and MAPE Concept in Regression

  • Trend, Cycle, Residual and Variations concepts

  • Implementing a Time series Predictive Model

  • Generating predictive stories

7 hours

Generating predictive stories

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Enables users to create and share predictive analytics-driven narratives, enhancing decision-making with data-driven insights.
  • SAC Administration Overview

  • Roles (Standard vs Custom)

  • Team

  • Users

  • Working with data loading and scheduling

  • Cloud connector

  • Analytics Cloud Agent

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Certificate of Completion

This certification acknowledges the completion of the SAP SAC course from Cokonet Technologies.

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Program Cohorts

Apr 2024 Batch

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Admission Process at Cokonet

The course admission process at Cokonet involves streamlined procedures ensuring efficient enrollment for prospective students.

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Speak With our Career Counselor

Our career counselor will help you identify the suitable course for you.

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Complete Payment

Finalize the transaction securely, using the provided payment methods.

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Get Enrolled

Enroll in the chosen course, providing personal details and payment information.

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Financing & Support

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0% Interest Loans

Access 0% interest loans for your education, ensuring affordability while you pursue your dreams.

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Pay in Installments

Ease your financial burden with our convenient installment payment options.

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Scholarships

We believe in supporting aspiring learners by providing financial aid to help them pursue their dreams.

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Laptop Support

Seamless assistance with our comprehensive laptop support services.

SAP SAC: Frequently Asked Questions (FAQs)

Concerns regarding our SAP SAC course? Find the answers to the questions you often ask.

SAP SAC professionals can pursue roles such as Data Analysts, Business Intelligence Specialists, Business Analysts, and Analytics Consultants, with opportunities in industries like finance, retail, healthcare, and more.