SAP QM TRAINING
SAP QM (SAP Quality Management Training & Certification)
Get all SAP Course training online here!
About the SAP QM on HANA Training Program
Our SAP Quality Management (QM) on HANA Training Program is specifically designed to equip you with the knowledge and skills necessary to excel in managing quality processes within the SAP ecosystem. This comprehensive course integrates core SAP QM concepts with the innovative features of SAP HANA, preparing you for real-world challenges in SAP S/4HANA environments.
Learn from Experts
Experience hands-on training from SAP-certified trainers with extensive industry experience. Gain access to the latest SAP QM tools and functionalities, along with valuable tips and industry best practices. Our program ensures you build a solid foundation in quality management while exploring advanced topics, including integration with other SAP modules.
Comprehensive Curriculum
The program covers everything you need to know, including:
- SAP QM Basics: Core principles of quality management, including planning, inspection, and control.
- Quality Planning: Defining quality standards, creating inspection plans, and quality control tools.
- Inspection and Control: Managing goods receipt, in-process, and final inspections.
- Integration with SAP MM and SD: Streamlining processes with Materials Management (MM) and Sales and Distribution (SD).
- Quality Notifications: Creating and managing quality notifications for defects and corrective actions.
Why Choose This Program?
With a strong emphasis on practical application and real-world scenarios, our SAP QM on HANA training prepares you to effectively manage quality processes, minimize defects, and enhance product quality in your organization. By mastering SAP QM, you’ll position yourself as a key player in ensuring operational excellence and compliance in quality management across industries.
Key Highlights of The Training
Certification Ready
Prepare for certification with mock tests and guides.
Broad Curriculum
Covers QM basics to advanced S/4HANA features
Job-Ready Skills
Acquire QM for HANA
skills to be job-ready.
SAP QM Training Overview
Introduction to HANA Architecture
ABAP Optimization for HANA
Career Mentorship by Industry Experts
Placement Assistance in MNC's
Seamless Student Support
CDS Views & AMDP Expertise
Course Outline
Learning Path of Data Science
Program Cohorts includes Aspiring professionals of any educational background with an analytical frame of mind is suited to pursue the Data Scientist Master’s Program
Chapter 1 – Python Basics
Chapter 2 – Python Data Structures
Chapter 3 – Python Programming Fundamentals
Chapter 4 – Working with Data in Python
Chapter 5 – Working with NumPy Arrays
Chapter 1 – Data Science Overview
Chapter 2 – Data Analytics Overview
Chapter 3 – Statistical Analysis and Business Applications
Chapter 4 – Python Environment Setup and Essentials
Chapter 5 – Mathematical Computing with Python (NumPy)
Chapter 6 – Scientific computing with Python (Scipy)
Chapter 7 – Data Manipulation with Pandas
Chapter 8 – Machine Learning with Scikit–Learn
Chapter 9 – Natural Language Processing with Scikit Learn
Chapter 10 – Data Visualization in Python using matplotlib
Chapter 11 – Web Scraping with BeautifulSoup
Chapter 12 – Python integration with Hadoop MapReduce and Spark
Chapter 1 – Introduction to Artificial Intelligence and Machine Learning
Chapter 2 – Data Wrangling and Manipulation
Chapter 3 – Supervised Learning
Chapter 4 – Feature Engineering
Chapter 5 – Supervised Learning-Classification
Chapter 6 – Unsupervised learning
Chapter 7 – Time Series Modelling
Chapter 8 – Ensemble Learning
Chapter 9 – Recommender Systems
Chapter 10 – Text Mining
Chapter 1 – Getting Started with Tableau
Chapter 2 – Core Tableau in Topics
Chapter 3 – Creating Charts in Tableau
Chapter 4 – Working with Metadata
Chapter 5 – Filters in Tableau
Chapter 6 – Applying Analytics to the worksheet
Chapter 7 – Dashboard in Tableau
Chapter 8 – Modifications to Data Connections
Chapter 9 – Introduction to Level of Details in Tableau (LODS)
Chapter 1 – Fundamental SQL Statements
Chapter 2 – Restore and Back-up
Chapter 3 – Selection Commands: Filtering
Chapter 4 – Selection Commands: Ordering
Chapter 5 – Alias
Chapter 6 – Aggregate Commands
Chapter 7 – Group By Commands
Chapter 8 – Conditional Statement
Chapter 9 – Joins
Chapter 10 – Subqueries
Chapter 11 – Views and Index
Chapter 12 – String Functions
Chapter 13 – Mathematical Functions
Chapter 14 – Date – Time Functions
Chapter 15 – Pattern (String) Matching
Chapter 16 – User Access Control Functions
Chapter 1 – Introduction to Business Analytics
Chapter 2 – Introduction to R Programming
Chapter 3 – Data Structures
Chapter 4 – Data Visualization
Chapter 5 – Statistics for Data Science I
Chapter 6 – Statistics for Data Science II
Chapter 7 – Regression Analysis
Chapter 8 – Classification
Chapter 9 – Clustering
Chapter 10 – Association
Download Data Science Brochure
Best-in-class content by leading faculty & industry experts in the form of videos, industry projects, assignments & live sessions
Training at Best
myTrainingwala
An organization with Industry expertise trainers and verified Data Science training and certification to fill the demand for data scientists in the market.
- Advance Practical Learning
- Endless Job Opportunities
- Industry Expert Guidance
Demand Of SAP QM
We are on a mission to cultivate impactful SAP QM experts in the market.
SAP QM professionals are in high demand across industries such as manufacturing, pharmaceuticals, automotive, and consumer goods. Companies are actively seeking certified and skilled candidates who can leverage SAP QM to streamline quality management processes, ensure compliance with industry standards, and improve product quality. This expertise is essential for businesses focused on operational excellence and maintaining high-quality standards.
Career Opportunities
By mastering SAP QM, you can become a valued SAP QM Consultant, Quality Manager, Quality Assurance Specialist, or Compliance Officer within a leading organization. Equip yourself with the skills employers are seeking to optimize quality processes, reduce defects, and ensure compliance with regulatory requirements, positioning yourself for success in the growing field of quality management.
Who Should Enroll
- IT Professionals
- Analytics Managers
- Business Analysts
- Banking and Finance Professionals
- Marketing Managers
- Supply Chain Network Managers
- Beginners or Recent Graduates in Bachelors's or Masters Degree
Data Science Certification
After completing the Data Science Training course successfully, acquire this prestigious recognition from myTrainingwala. You will be qualified in Natural Language Processing, Deep Learning, Business Intelligence/ Data Analytics, Business Analytics, and Data Engineering.
The certificate will serve as evidence of your expertise in Data Science. Avail greater job security and a good salary with IT Career
