What you'll learn
You will be creating your own tenant and learning various aspects of SAP SAC.
You will be learning introduction on SAC, it's uses, features of SAC, register for free trial account Cloud.
You will also learn about various BI features in SAC like: Geo Maps, Dynamic Charts, Filters, Tables, Styling, Template, Bookmarks, Heatmaps, Public Model
Data Wrangling, Hierarchy Types, Import / Export / Scheduling jobs, Waterfall / Stackbar charts, Dynamic Text, Updating Source Data.
You will also be learning Advanced SAC BI concepts like: Point of Interest, Geo Maps, Variance, Conditional Formatting, Thresholds, Bullet Charts
Styling Tables / Thresholds, Linked Model, Calculated Column, In-Cell Charts.
You will also be learning SAC Machine Learning Features like: Search to Insight, Smart Discovery, Smart Insights, Time Series Forecasting, R Visualization
Smart Grouping, Smart Transformation.
Requirements
It's good if you have prior knowledge in SAP BI, although I have tried to explain the concept for beginners so that even if you don't have knowledge in BI, you should be able to understand the course.
Having basic knowledge in Artificial Intelligence, Machine Learning is good. You need not have knowledge in R, Python Programming, algorithms... I have tried to keep it as simple as possible.
Description
This course has been made for beginners in SAP SAC, it'll help them to understand SAP SAC and work in real time. In this course I am not covering Planning concepts of SAC (for planning concepts, I'll be creating other courses in Udemy).In this course I'll be teaching you basics of SAP Analytics Cloud. First we'll be creating our own tenant on SAP Cloud and then I'll be covering most of the basic concepts of SAC. Topics which will be covered in this course are:You will be learning introduction on SAC, it's uses, features of SAC, register for free trial account Cloud.You will also learn about various BI features in SAC like: Geo Maps, Dynamic Charts, Filters, Tables, Styling, Template, Bookmarks, Heatmaps, Public Model, Data Wrangling, Hierarchy Types, Import / Export / Scheduling jobs, Waterfall / Stackbar charts, Dynamic Text, Updating Source Data.You will also be learning Advanced SAC BI concepts like: Point of Interest, Geo Maps, Variance, Conditional Formatting, Thresholds, Bullet Charts, Styling Tables / Thresholds, Linked Model, Calculated Column, In-Cell Charts.Finally, you will also be learning SAC Machine Learning Features like: Search to Insight, Smart Discovery, Smart Insights, Time Series Forecasting, R Visualization, Smart Grouping, Smart Transformation.I have tried to explain all the concepts using simple examples which can be extended to match your business case in real time. All the concepts have been explained using simple examples so that even beginners can understand them.In the resources section of lectures you'll find the dataset for building model, R code which I have used in the practical demos which I have shown in SAC.
Overview
Section 1: Introduction
Lecture 1 Introduction to SAP Analytics cloud
Lecture 2 What is SAC, How to use it?
Section 2: SAC BI Features
Lecture 3 What are the features of SAC BI
Section 3: Register your free SAC trial account
Lecture 4 How to Register for your free SAC trial account
Section 4: SAC BI
Lecture 5 SAC BI First Demo
Lecture 6 SAC BI Adding more features
Lecture 7 SAC BI More formatting options + Filters
Lecture 8 SAC BI Geo Maps, Dynamic Charts, etc
Lecture 9 SAC BI - Tables, R Language and Styling
Lecture 10 SAC BI - Template, Bookmarks, Heatmaps, Filters (Dynamic / Static)
Lecture 11 SAC – Public Model, Data Wrangling, Reusing the public model, Hierarchy types
Lecture 12 SAC – Import Export jobs, scheduling jobs
Lecture 13 Waterfall / Stack Bar Charts, Measure Based Dimension, Dynamic text, Hypertext
Lecture 14 SAC – Edit Model, Hierarchies, Create Multiple Stories, Update Source Data
Section 5: Advance SAC BI Concepts and POI
Lecture 15 SAC - Point of Interest on Geo maps
Lecture 16 SAC – Create new public model from file, story, variance, Conditional Formatting
Lecture 17 SAC – Model Level Thresholds, Conditional Thresholds, Bullet Charts, Table Style
Lecture 18 SAC – Styling Thresholds, Linked Model, Calculated Column, In-cell Chart
Section 6: SAC Machine Learning Features
Lecture 19 SAC – Smart features Search to Insight, Smart Discovery
Lecture 20 SAC - Smart Insights, Time Series Forecasting
Lecture 21 SAC – R Visualization
Lecture 22 SAC – Smart Grouping, Smart Transformation
This course is very useful for those of you who are starting with SAP and want to grow career in SAC,This course will act like a bridge between existing SAP BI, BO consultants who want to grow in their career in SAC and want to shift to SAC. As SAP on cloud will be the future of SAP, SAP is trying to slowly it's products from in premise to cloud,This course will be useful for existing SAP consultants who want to learn how to use machine learning concepts in SAC.
Homepage

https://www.udemy.com/course/sap-analytics-cloud-basics-for-beginners-with-hands-on/

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