SAP Data Intelligence Course – The only Analytics Course you need
SAP Data Intelligence Course – The only Analytics Course you need
⏰24 hours | ▶️ 24 Videos | 📣 49 Participants | 🔥11 Reviews
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Self Paced
Unlimited Access- Advanced sessions
- Interview Q&A
- Free study Materials
- Premium Technical support
Instructor Led Live Training
Unlimited Access- Live Instructor
- Advanced sessions
- Interview Q&A
- Premium Technical Support
Corporate Training
Unlimited Access- Live Instructor
- Advanced sessions
- Interview Q&A
- Premium Technical Support
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Jan 12(1 HR A DAY) |
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Upcoming Batches IST
Weekday
Jan 13(1 HR A DAY) |
07:30 AM IST |
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Weekday
Jan 27(1 HR A DAY) |
07:30 PM IST |
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Weekend
Jan 23(1 HR A DAY) |
07:00 AM IST |
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Course Description
Taking this course can give you a complete introduction to SAP Data Intelligence. You will acquire knowledge regarding the capabilities and architecture of the platform, investigate its powerful features and user interface, and study essential ideas and terminology.
You will also develop an understanding of how to efficiently employ predictive analytics and obtain insights into the data preparation, analysis, and visualisation processes.
You will also acquire the skills necessary to develop apps for advanced analytics and become proficient in deploying these applications in production.
SAP Data Intelligence is an all-encompassing and integrated platform that assists businesses in recognising, managing, and capitalising on the value of their data. It combines streaming and batch data processing with predictive and prescriptive analytics capabilities. Its robust capabilities span machine learning, streaming analytics, natural language processing, and advanced analytics.
Taking this course can give you a complete introduction to SAP Data Intelligence. You will acquire knowledge regarding the capabilities and architecture of the platform, investigate its powerful features and user interface, and study essential ideas and terminology.
You will also develop an understanding of how to efficiently employ predictive analytics and obtain insights into the data preparation, analysis, and visualisation processes. You will also acquire the skills necessary to develop apps for advanced analytics and become proficient in deploying these applications in production.
By the time you have completed the training, you will be able to design applications and systems that maximise the value of the data held by your organisation, facilitate improved decision-making, and achieve strategic business objectives.
This online training gives students an in-depth and all-encompassing introduction to the SAP Data Intelligence platform and its features. This course will instruct you on how to utilise the platform to handle streaming and non-streaming (batch) data, analyse complicated data from many sources, incorporate machine learning algorithms into analytics pipelines, and visualise the outcomes of your work.
Students will comprehend the fundamentals of data engineering, analytics, machine learning, and artificial intelligence (AI) in this course. As a result, they will be able to make better business decisions and gain a more complete understanding of the organization.
The first part of the training consists of an introduction to the various components of the platform, as well as a discussion of the data integration and storage options provided by the platform.
You will learn to recognise data sources, link them to the forum, ingest the data, clean it, and prepare it for analysis. Additionally, this will offer a quick introduction to data purification, data scraping, and data transformation.
Natural language processing, machine learning, and artificial intelligence (AI) are all covered in the following section. Participants will understand supervised and unsupervised machine-learning techniques for pattern identification, grouping, and classification goals.
They will also learn how to implement AI models on SAP Data Intelligence and extract relevant insights from text using the NLP examples supplied by the platform.
In the final step of this course, you will become familiar with the SAP Data Intelligence platform to develop complex analytics pipelines for streaming and non-streaming (batch) data. In addition, you will learn about the presentation of results utilising data visualisation technologies such as SAP.
Upon completion of the training, you will have the knowledge and skills necessary to confidently construct data pipelines that are intelligent, automated, and efficient, utilising the SAP Data Intelligence platform.
Features
✅Lifetime access | ✅Lifetime video access |
✅Real-time case studies | ✅The project integrated into the Curriculum |
✅24*7 Support from our team of administrators |
Course Content
1. Overview of SAP Data Intelligence
- SAP Data Intelligence Overview
- Important aspects and advantages
- components and architecture
- Adaptation to other SAP products
2. Data Ingestion
- Introduction to data ingestion
- setting up and deploying data pipelines
- connecting to several data sources via adapters
- Apache Kafka real-time data ingestion
- Recognizing more data sources
- linking with data sources
- Ingestion methods for data
- setting up data pipelines.
3. Data Processing
- Information processing overview
- utilising the Graphical Pipeline Editor to transform data
- Making use of R and Python scripts to process data
- recognising the various data formats
- SQL transformation of data
- setting up data quality controls
4. Data Modeling
- Introduction to data modelling
- Algorithms for machine learning in data modelling
- design and implementation of machine learning models
- Using machine learning algorithms from SAP HANA for predictive analytics
- making models for machine learning
- model education and assessment
- modern modelling methods.
5. Data Governance
- Information about data governance
- making and controlling data catalogues
- Data quality control
- Data protection and adherence
- administration of metadata and data cataloguing
- regulating data security and access
- tracking and data attribution
6. Automation and Orchestration
- Establishing workflows
- Workflow scheduling and monitoring
- Streamlining data operations
7. Advanced Analytics
- Methods of predictive modeling
- using data visualisation methods
- analysis of live data
- Analyzing data in real-time with SAP Data Intelligence.
8. Integrating SAP Solutions with Other Systems
- SAP HANA adaptation
- SAP Analytics Cloud with SAP Business Warehouse integration.
9. Hands-On Exercises
- Exercises that put concepts gained in the course into practice
- setting up and deploying data pipelines
- Data modelling using machine learning techniques
- Utilizing SAP Analytics Cloud to visualise data
- Interactions between the course’s professionals
- access to the committed teacher for advice and assistance
- Resources for additional education and assistance.
10. SAP Concur Travel
- Opening a Concur Travel & Expense account
- Looking around the My Concur Homepage
- A Current Travel Profile
- Changes to a Purchased Trip
- Employing Travel Templates
- Sharing a Reservation for a Trip
- Locate and Alert usage
- Cloning a Travel Booking
- Concur Open Reservation
- Making a Reservation for a Trip.
11. SAP Concur Mobile App
- The launch of the Concur mobile app
- how to get the app onto an Android or iPhone.
- Using the final online version to create the mobile pin
- Flight, hotel, and automobile reservations with the Concur mobile app.
- examining travel schedules
- Receipt Attachment via Mobile App
- fixing the issue, adding participants
- Working with the Concur mobile app settings for E-receipts and Receipt stores
- Accept or reject the people manager’s spending report.
- Including travel expenses and personal vehicle miles
- Consolidating cash and credit card purchases into an expense report
12. Integrations
- Recognizing how other systems integrate with SAP Concur
- Configuring and setting up integrations
- overseeing the transfer of data between SAP Concur and other platforms
13. Troubleshooting and support
- Recognizing typical problems and faults with SAP Concur
- Identifying and resolving problems
- contacting support and using available assistance.