Getting started with Sap Analytics Cloud
Getting started with Sap Analytics Cloud, available at $49.99, has an average rating of 3.65, with 51 lectures, 7 quizzes, based on 361 reviews, and has 1952 subscribers.
You will learn about Basics and advanced techniques of SAP Analytics Cloud Building Data models using Flat files and Bigquery Design your own Stories and Analytical applications using SAP SAC Learn how to Integrate SAC with Non SAP Databases like Google Bigquery Learn to build Analytical application from the scratch Learn how to create variables and functions in SAC Learn how to export Views to PDF and PPTX Learn how to enable interactivity between charts Learn how to build classification, Regression and time series models for Predictive Analytics This course is ideal for individuals who are Anyone who's willing to start their journey into SAP BI or Basics to Advanced in SAP analytics cloud It is particularly useful for Anyone who's willing to start their journey into SAP BI or Basics to Advanced in SAP analytics cloud.
Enroll now: Getting started with Sap Analytics Cloud
Summary
Title: Getting started with Sap Analytics Cloud
Price: $49.99
Average Rating: 3.65
Number of Lectures: 51
Number of Quizzes: 7
Number of Published Lectures: 51
Number of Published Quizzes: 7
Number of Curriculum Items: 61
Number of Published Curriculum Objects: 61
Original Price: $69.99
Quality Status: approved
Status: Live
What You Will Learn
- Basics and advanced techniques of SAP Analytics Cloud
- Building Data models using Flat files and Bigquery
- Design your own Stories and Analytical applications using SAP SAC
- Learn how to Integrate SAC with Non SAP Databases like Google Bigquery
- Learn to build Analytical application from the scratch
- Learn how to create variables and functions in SAC
- Learn how to export Views to PDF and PPTX
- Learn how to enable interactivity between charts
- Learn how to build classification, Regression and time series models for Predictive Analytics
Who Should Attend
- Anyone who's willing to start their journey into SAP BI
- Basics to Advanced in SAP analytics cloud
Target Audiences
- Anyone who's willing to start their journey into SAP BI
- Basics to Advanced in SAP analytics cloud
Welcome to the world of SAP Analytics Cloud! This comprehensive course is meticulously crafted to provide you with a robust foundation and practical expertise in leveraging SAP Analytics Cloud for effective data analysis, reporting, and strategic decision-making within your organization.
Whether you’re starting from scratch or looking to enhance your existing knowledge, this course is tailored for you.
Course Overview
With over 40 lectures and 4.5 hours of engaging video content, this comprehensive course leaves no stone unturned. It includes quizzes, assignments, and real-world datasets, enabling you to build a portfolio on SAP Analytics Cloud (SAC) and showcase your skills.
Course Structure
1. Introduction to SAP Analytics Cloud
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Understand the fundamental concepts of SAP Analytics Cloud.
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Explore its role in transforming raw data into actionable insights.
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Learn how to connect various data sources, including on-premise and cloud-based systems.
2. Data Modeling and Connectivity
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Discover different data modeling options available in SAC.
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Learn how to import, clean, and modify data sources.
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Build models using CSV files and SQL queries from Google BigQuery.
3. Creating Dashboards and Reports
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Dive into the powerful features of SAC.
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Create visually compelling and interactive dashboards and reports.
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Present data in ways that drive actionable outcomes.
4. Dynamic Planning and Budgeting
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Gain hands-on experience in designing dynamic planning models and budgets.
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Enable informed financial decision-making within your organization.
5. Advanced Analytics Features
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Explore predictive forecasting and data discovery.
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Leverage these capabilities to identify trends, uncover hidden patterns, and make accurate predictions based on historical data.
6. Best Practices in Data Visualization and Storytelling
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Emphasize best practices in data visualization, storytelling, and collaboration.
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Learn to communicate insights effectively through visualizations, infographics, and narratives.
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Collaborate and share reports seamlessly with team members.
Advanced Techniques and Real-World Applications
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Predictive Analytics
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Learn predictive data analytics to become an effective data analyst.
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Use predictive models in supply chain management, marketing, and customer retention.
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Practical Examples and Hands-On Experience
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Build models, stories, and analytical applications from scratch.
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Create interactivity between charts using JavaScript.
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Develop classification, regression, and time series models.
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Interpret metrics and apply trained models to unseen datasets for predictions.
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Target Audience
This course is ideal for business intelligence enthusiasts, business analysts, data scientists, and aspiring analytics professionals. It focuses on practical examples and hands-on experience, helping you navigate and utilize various functionalities of SAC.
Course Highlights
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Import, clean, and modify data sources.
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Build models from CSV files and SQL queries.
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Design stories and analytical applications.
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Export views as PDFs or PPTX.
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Create variables and functions using JavaScript.
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Build and interpret classification, regression, and time series models.
What You Will Gain
By the end of this course, you will have a comprehensive understanding of SAP Analytics Cloud and its diverse functionalities. You will be equipped with the skills to harness the power of data, transform it into meaningful insights, and drive business growth and competitive advantage.
Lifetime Access
Enjoy lifetime access to over 40+ lectures, along with corresponding datasets. Advance your career and increase your knowledge in a fun and practical way!
Join us on this exciting journey into the world of SAP Analytics Cloud and embark on a path towards data-driven success!
Disclaimer: SAP Analytics Cloud® is a product of SAP®. I am NOT associated with SAP.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction to Course : Foundation
Lecture 2: Important message
Lecture 3: Activate SAP Analytics cloud Trial Version
Lecture 4: Fundamentals of Business Intelligence and Analytics
Chapter 2: Exploring SAP Analytics Cloud
Lecture 1: Welcome to SAP Analytics Cloud
Lecture 2: What is SAP Analytics Cloud?
Lecture 3: SAC and Business Objects Overview
Lecture 4: About Live and Import connection
Chapter 3: Data Modelling using SAP Analytics Cloud
Lecture 1: Creating Data model using Flat files
Lecture 2: Geo Enrichment in the Data model
Lecture 3: Geo Maps in SAC
Chapter 4: Augmented Analytics
Lecture 1: Introduction to Augmented Analytics
Lecture 2: Search to Insights in action
Lecture 3: Smart Discovery
Lecture 4: Smart Discovery in action
Chapter 5: Features and Functional Areas offered by SAP Analytics Cloud
Lecture 1: Functional Areas of SAC
Lecture 2: Features of SAC
Chapter 6: Integrating Google BigQuery with SAP analytics cloud
Lecture 1: BQ integration with SAC
Chapter 7: Automatic story building using SAP Analytics Cloud
Lecture 1: Creating Automatic reports using SAC
Chapter 8: Exploring SAC Architecture
Lecture 1: Architecture of SAC
Chapter 9: Creating dashboard using SAP analytics Cloud
Lecture 1: Wire frame for building our first story
Lecture 2: Lets create Story in SAP cloud Analytics
Lecture 3: Creating Stories Part 2
Lecture 4: Exporting views to PDF and PPTX
Chapter 10: Building Analytical applications using SAP analytics cloud
Lecture 1: About: Analytical Application and Designer
Lecture 2: Building Analytical applications using Analytical designer
Chapter 11: Creating Interactivity between charts using Linked Analysis
Lecture 1: Linked Analysis in Stories
Lecture 2: Linked Analysis in Analytical application
Chapter 12: Customizing Theme using Application CSS
Lecture 1: CSS Overview
Lecture 2: Using CSS in Analytical application
Chapter 13: Predictive Analytics using SAP Analytics cloud
Lecture 1: About Predictive Analytics using SAP Analytics Cloud
Lecture 2: About Predictive Analytics using SAC
Chapter 14: Predictive Analytics Part 1 : Classification
Lecture 1: Dataset for Classification Example1
Lecture 2: Importing Titanic datasets into SAC
Lecture 3: Training Predictive models on Titanic Dataset
Lecture 4: Applying the model to the Test Dataset
Lecture 5: Introduction to Classifier Example2
Lecture 6: Importing the Cardio Vascular Datasets
Lecture 7: Build the Classifier for Cardio Vascular Datasets
Chapter 15: Performance metrics for Classification
Lecture 1: Understanding the metrics for Classification
Lecture 2: Global indicators for Performance
Lecture 3: Applying the model to the Cardio Test Dataset
Chapter 16: Predictive Analytics Part 2 : Regression
Lecture 1: Introduction to Regression
Lecture 2: Importing Housing Value Datasets
Lecture 3: Training the Regressor
Chapter 17: Performance metrics for Regression
Lecture 1: Understanding the metrics for Regression
Lecture 2: Applying Regressor to the Test Dataset
Chapter 18: Predictive Analytics Part 3 : Time Series
Lecture 1: Introduction to Time Series
Lecture 2: Importing the TimeSeries Datasets
Lecture 3: Understanding the Time Series Dataset
Lecture 4: Understanding the metrics for Timeseries Dataset
Instructors
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DataViz Academy
Corporate training company for IT courses
Rating Distribution
- 1 stars: 10 votes
- 2 stars: 23 votes
- 3 stars: 69 votes
- 4 stars: 133 votes
- 5 stars: 126 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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