Getting started with Sap Analytics Cloud
Ultimate course to learn SAP analytics cloud with complete practical examples - Beginner’s to Expert

Getting started with Sap Analytics Cloud free download
Ultimate course to learn SAP analytics cloud with complete practical examples - Beginner’s to Expert
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
Understand the fundamental concepts of SAP Analytics Cloud.
Explore its role in transforming raw data into actionable insights.
Learn how to connect various data sources, including on-premise and cloud-based systems.
2. Data Modeling and Connectivity
Discover different data modeling options available in SAC.
Learn how to import, clean, and modify data sources.
Build models using CSV files and SQL queries from Google BigQuery.
3. Creating Dashboards and Reports
Dive into the powerful features of SAC.
Create visually compelling and interactive dashboards and reports.
Present data in ways that drive actionable outcomes.
4. Dynamic Planning and Budgeting
Gain hands-on experience in designing dynamic planning models and budgets.
Enable informed financial decision-making within your organization.
5. Advanced Analytics Features
Explore predictive forecasting and data discovery.
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
Emphasize best practices in data visualization, storytelling, and collaboration.
Learn to communicate insights effectively through visualizations, infographics, and narratives.
Collaborate and share reports seamlessly with team members.
Advanced Techniques and Real-World Applications
Predictive Analytics
Learn predictive data analytics to become an effective data analyst.
Use predictive models in supply chain management, marketing, and customer retention.
Practical Examples and Hands-On Experience
Build models, stories, and analytical applications from scratch.
Create interactivity between charts using JavaScript.
Develop classification, regression, and time series models.
Interpret metrics and apply trained models to unseen datasets for predictions.
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
Import, clean, and modify data sources.
Build models from CSV files and SQL queries.
Design stories and analytical applications.
Export views as PDFs or PPTX.
Create variables and functions using JavaScript.
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.