SAP MM TRAINING
SAP MM (SAP Material Management Training & Certification)
Get all SAP Course training online here!

About the SAP Materials Management (MM) Training Program
Our SAP Materials Management (MM) Training Program is designed to provide you with the knowledge and skills necessary to excel in the dynamic field of materials and procurement management within an SAP environment. This comprehensive course blends foundational SAP MM concepts with practical applications, preparing you for real-world challenges in SAP S/4HANA and integrated enterprise resource planning systems.
Learn from Industry Experts
You will be guided by SAP-certified trainers with extensive industry experience, gaining insights into the latest SAP MM tools, tips, and best practices. Our trainers will help you build a solid foundation in SAP MM while providing practical, real-world scenarios that you can apply directly in your organization.
Comprehensive Curriculum
- Basics of Materials Management: Learn key principles of materials management and supply chain optimization.
- Procurement Process: Manage procurement, including purchase requisitions, orders, and vendor integration.
- Inventory Management: Handle stock levels, material movements, and inventory control.
- Material Master Data: Manage material master data and its integration across SAP modules.
- Invoice Verification: Verify invoices, matching them with goods receipts and purchase orders.
Enhance Your Expertise
Join us to enhance your expertise in SAP MM and gain the skills required to make meaningful contributions to your organization’s procurement, materials, and inventory management processes. With SAP MM expertise, you can help streamline operations, reduce procurement costs, and ensure timely availability of materials to support production
Key Highlights of The Training

Certification Ready
Prepare for certification with mock tests and guides.

Broad Curriculum
Covers MM basics to advanced S/4HANA features

Job-Ready Skills
Acquire SAP MM
skills to be job-ready.
SAP MM Training Overview
Master Data Management
Material Requirement Planning (MRP)
Career Mentorship by Industry Experts
Placement Assistance in MNC's
Seamless Student Support
Reporting and Analytics
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

Growing Demand for SAP MM Training
We are on a mission to cultivate impactful SAP MM experts in the market.
SAP professionals with expertise in Materials Management (MM) are in high demand across industries. Companies are actively seeking certified and skilled candidates who can leverage SAP MM to optimize procurement processes, manage inventory, and improve supply chain efficiency. This expertise is crucial for organizations looking to streamline their operations and stay competitive in an ever-evolving market.
Career Opportunities
By mastering SAP MM, you can become a valued SAP MM Consultant, Supply Chain Manager, Procurement Specialist, or Inventory Manager within a leading organization. Equip yourself with the skills employers are looking for and position yourself for success in the dynamic field of materials 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
MTW 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
