Learning Outcomes

An Overview to Modelling and Analytics

Introduction to Supply Chain

Uncertainty and Risks in Supply Chain

Decisions and Performance Measures in Supply Chain

Introduction to Analytics in Supply Chain

Analytics Framework Based on SCOR Model

Design Options for Distribution Network

Lesson Summary

This module presents the basics of modelling and analytics in the supply network. You will learn about the flows of the supply chain, measures for analysing the performance of the supply chain and how big data analytics can be leveraged in managing the supply chain.

Linear Programming

Linear Point Method

Rating and Ranking Method

Clustering Method

MCDM Techniques

This module highlights the various analytics involved in the supplier selection process. You will learn about the need for mathematical modelling in selecting suppliers, various methods of selecting suppliers and the process of converting qualitative information into numeric market information.

Transportation Cost Modelling

Min-Max and Max-Min Model

Maximum Flow Model

Shortest Path and Minimal Spanning Tree Model

This module presents the modelling and analytics techniques involved in transportation. You will learn about the various techniques available for transportation modelling, how to minimize the maximum quantity on a high cost transportation route and how to determine the shortest route when there are networks of roads.

Decision Making for Warehouse Location

Break Even and Centre of Gravity Model

Ardalan Heuristic and Transportation Cost Model

Total Cost Model

Warehouse Layout

Warehouse Space Calculation

Storage Space Calculation

This module presents the modelling and analytics techniques involved in determining the locations and space requirements of warehouses. You will learn about the various conventional and modern ways for determining warehouse locations, the procedure for determining the overall size of the warehouse and the process of estimating the space requirement and storage patterns in a warehouse.

Performance of the Entire Supply Chain

Data Envelopment Analysis

This module presents the strategic performance measurements used for improving the efficiency of the warehouse. You will learn about the procedure for measuring the performance of the warehouse, various input and output operations in the warehouse and the role of DEA,CRS and VRS models in improving performance operations of a warehouse.

Concepts in Inventory Management

Simultaneous Production and Consumption Model

Lost Sales

Multiple Items Inventory Models

Constraint on Space and Number of Orders

This module presents the concept of inventory and inventory management in the context of supply chain. You will learn about the different terminologies used in inventory management and how inventory modelling helps in dealing with the constraints on space, planned shortages with backorders and lost sales.

First Course Assessment

Safety Stock and Reorder Level

Continuous Review System

Periodic Review System

This module presents the functions of various review systems in the context of inventory management. You will learn about the tracking procedure of  inventory and how to determine the fixed interval reorder point for reviewing the inventory.

Transport Systems in India and the World

Transport Costing

Public Transport Costing

Fixing Fare for Public Transportation System

Foreign Trade Logistics

This module presents an overview of the transportation systems in the context of Supply Chain Management. You will learn about the procedure for determining transportation costs using mathematical modelling, the use of formula and passenger–kilometre approaches to fix the costs of public transports and how logistics takes place between India and its neighbouring countries.

Analytical Hierarchy Processing (AHP) Method

Technique of Order Preference by Similarity to Ideal Solution (TOPSIS) Method

VIKOR Method

ISM Method

Forecasting Simple and Weighted Average Mean Square Error

Exponential Smoothing Method

Seasonality in Forecasting

Trend Regression

Holt's and Winters' Method

Multi Period Forecasting

This module presents the various multi-criteria decision making and forecasting methods. You will learn about the process of determining the best supplier or best product, based on multiple criteria and the procedure of forecasting when the model estimates demand and constant.

Information Distortions in Supply Chain

Coordination and Collaboration Modelling

Six Sigma Approach to Coordination

Measuring the Degree of Coordination

This module discusses the modelling coordination in Supply Chains. You will learn about the effects of information distortions in the Supply Chain and how Six Sigma and the Queuing Theory helps in developing robust coordination systems.

Risks and Supply Chain Disruptions

Modelling Risk Analytics

This module discusses the risk analytics in Supply Network Design. You will learn how risks disrupt the supply chain, the steps involved in assessing the risks and the need for mathematical modelling to estimate the riskiness of a supply chain.

Taxation

Tax Advantages

Transhipment

Flexibility

Total Cost

Echelons

This module presents the design and modelling of the Global Supply Chain. You will learn the process of designing Global Supply Chain by taking care of tax advantages. Discover how modelling the total cost of the supply chain helps in minimizing the cost  and how to design the entire supply chain right from the supplier base to the end customer.

Second Course Assessment

Advanced Diploma in Modelling and Analytics for Supply Chain Management-Course Assessment

In this free diploma in modelling and analytic, learn how Analytics can be applied to various domains of supply chain.

Advanced Diploma in Modelling and Analytics for Supply Chain Management

This free online diploma in modelling and analytics for supply management focuses on the nature and goal of supply networks and explains the impact of analytics-based supply chain decisions on the success of a firm. The course covers key metrics that track the performance of the Supply Network, identification of the key factors to be considered when designing a distribution network, and use of analytical techniques for developing a framework.

What is an Information System?

Networking Communication

Can Information Systems Bring Competitive Advantage?

This module introduces the concept of information systems, it consists of topics that cover the following: Definition of Information systems, information systems components such as hardware, software and data, networking and communication, processes components and how it relates with business management and finally the  competitive advantage brought about by using information systems.

What is a Management Information System?

The Role of Information Systems

This module introduces Management Information Systems, it covers the following concepts: Definition of Management Information Systems, types of management information systems and how we use them day to day, the role of information systems in an organization, information systems advancement and progression phases in information systems: The Mainframe Era, The PC Revolution, Client-Server, The World Wide Web and E-Commerce, Web 2.0 and The Post-PC World.

Hardware

Other Computing Devices

Types of Software

Productivity, Utility and Programming

Applications for the Enterprise

Mobile Applications and Cloud Computing

This module expounds more on information systems hardware and software components. It consists of topics that cover the following: Hardware components, Software components, Types of Software, Software for organizational productivity, Utility and programming software, Applications for the enterprise, Mobile applications, Cloud computing, Open-source and closed source models.

A Brief History of the Internet

Wi-Fi and Mobile Networks

Organizational Networking

The Information Security Triad and Tools for Information Security

Backups, Firewalls and Physical Security

Security Policies and Personal Information Security

This module discussed information systems network and security in depth. It consists of interactive topics that will cover the following introduces the concept of information systems, it consists of topics that cover the following: Brief History of the Internet, Wi-Fi and mobile networks, organizational networking, the information security triad, tools for information security, backups, firewalls and physical security and finally security policies and personal information security.

Introduction to Data Management

Designing a Database

Database Management Systems

This module introduces the concept of data and databases. It consists of topics that cover the following concepts: Definitions of data, information and knowledge, hierarchical relationship and the DIKW pyramid, introduction to relational databases, designing databases, database normalization, an introduction to Structured Query Language(SQL), Database Management System (DBMS), big data and enterprise databases.

Data Warehouse

Data Mining

Knowledge Management

This module discusses data warehouses and data mining. It covers the following: Introduction to data warehouse, bottom-up and top-down approaches to data warehouse design, benefits of setting up a data warehouse, the process of data mining, business Intelligence and business analytics and organizational knowledge management and its role in decision making.

Introduction to Management Information Systems - Course assessment

This free online course provides a solid introduction to management information systems in business.

Diploma in Management Information Systems - An Introduction

The foundational concepts relating to management information systems will be outlined and explained in this free online course, along with the various management information systems available. By the end of the course, you will be in a position to explain the components and implementation of management information systems and its importance in an organization.

The Connection Between Regulatory Compliance and Generative AI

Organizational Implications of Generative AI

Generative AI in Financial Sector

Generative AI in Data Collection and Analysis

AI Systems - Compliance with Governance Frameworks

This module discusses the importance and practical implications of using generative AI in the regulatory sector. You will learn about the roles of its different applications in different sectors, especially the financial industry and data collection and analysis. Moreover, the importance of AI governance models and frameworks is also present.

AI in Compliance - Enhanced Regulatory Reporting & Workflows - Course Assessment

This free online course explains how organizations can utilize AI tools to comply with regulatory requirements.

AI in Compliance - Enhanced Regulatory Reporting & Workflows

This course explores how organizations can leverage generative AI to ensure compliance with various applicable standards. Learners will gain insights into regulatory compliance challenges, generative AI's pivotal roles in financial organizations, and best data collection, analysis, and research practices. It also emphasizes the importance of robust AI governance models, ethical aspects, and risk mitigation strategies to meet regulatory demands.

Data Science

Machine Learning

Data Science Opportunities

R and R Studio Essentials

R Studio and Tidyverse

In this module on Introduction to Data Science, you will learn about the data science life-cycle stages and the fundamentals of machine learning. You will also gain insight into the milestones and current trends in data science and study the examples of Tidyverse R packages.

Data Types in R

Vectors in R

Vector Coercion and Naming

Matrices and Lists

Fundamentals of Data Frames

Helper Functions and Tibbles

In this module on Data Types and Structures in R, you will learn about the common data types in R and how to represent their missing values. In addition, gain insight into data frame helper functions and examples of one-dimensional data types in R.

Intermediate R Overview

Operators and Statements

Loops, Functions and Packages

Factors and Support

Functional Programming

Data Import, Export and Databases

In this module on Intermediate R, you will learn how to install R packages and all the components of these packages. You will also master the three ways of creating a date or time in R and the process of importing and exporting data in R.

Advanced Diploma in Data Science with R - First Assessment

This assessment enables you to review your learning so you can determine your knowledge and understanding of Modules 1 - 3. You must score 80% or more to pass this assessment.

Data Manipulation

Tidy Data and Pipe Operator

Filter and Select Verbs

Mutate, Arrange and Summarize Verb

Data Pivoting and String Manipulation

Web Scrapping and JSON Passing

In this module on Data Manipulation in R, you will learn about the examples of {stringr} verbs that work with patterns and the classification of tidy data. You will also learn how to use the key {dplr} verbs and the pipe operator to manipulate data in R.

Introduction to Data Visualization

Aesthetics Mappings and Layering

Single and Two Variable Plots

Layering and Styling

Using R Markdown

In this module on Python Libraries, you will learn how to plot single and two variables in R. You will also learn how to use the ggplot function to create objects and coordinate the system.

Introduction to R Shiny

Basic Web App

R Shiny Examples

Career in Data Science

Branding and Networking

In this module on Object-Oriented Programming, you will learn about the two main components of an R Shiny app and the examples of R Shiny output functions. You will also discover the advantages and disadvantages of using freelance websites and master the art of writing a resume.

Advanced Diploma in Data Science with R - Second Assessment

This assessment enables you to review your learning so you can determine your knowledge and understanding of Modules 4 - 6. You must score 80% or more to pass this assessment.

Advanced Diploma in Data Science with R - Course Assessment

In this free online course, learn about the important concepts and essential factors involved in data science with R.

Advanced Diploma in Data Science with R

Discover the fundamental aspects of how data science helps businesses make objective and influential decisions in this free online data science with R course. Master the real-world applications of all the data various business sectors accumulate and use it for your clients or employers. You will also gain practical experience on how to discover patterns from raw data and the many career opportunities available in the field of data science.

Introduction to Data Science

Programming Languages

Data Science Methodology

Data Science via Chatbot

Libraries, API’s, Datasets and GitHub

This module will introduce you to data science and its applications. You will gain knowledge of data science concepts, methodology as well as programming languages. Learners will be shown how to extract useful data from large chunks of data and evaluate it. You will learn how to create customer response systems and collaborate online for projects.

Data Science Masterclass for Beginners - Course assessment

Discover if data science is the right path for you by learning about its methodology and more in this free course.

Data Science Masterclass for Beginners

Have you ever wondered how businesses use the vast amounts of data they collect and store? This course will introduce you to some of the skills and tools necessary to work with the most valuable resource of today: data. Various topics are covered, including programming languages, data science methodology and collaboration. Take the first steps in getting involved in the vital task of helping organizations make sense of their information.

Alteryx Introduction

Data Blend and Prep

Data Parsing

This module will introduce you to Alteryx and how to automate your data processes with the power of Alteryx. You will learn how to use Alteryx workflows to cut out repetitive tasks, how to build visual workflows in Alteryx and how to filter data in Alteryx. You will be shown data parsing techniques using the Alteryx parse tool palette, how to create reports in Alteryx that run on demand and how to use the predictive tools in Alteryx to perform data analysis.

Introduction to Alteryx - Course assessment

Learn about data science using Alteryx and how to build Alteryx workflows in this free online course.

Introduction to Alteryx

This free online course will teach you about various tools and functionalities in Alteryx and how to create ETL (Extract, Transform and Load) Processes. You will learn how to develop repeatable Alteryx workflows and the concept of data parsing and data parsing techniques. Learn how to create reports in Alteryx that run on demand and how to use the predictive tools in Alteryx to perform data analysis with this free online Alteryx course.

Foundations of Artificial Intelligence

Machine Learning and Data Science Essentials

Deep Learning and Neural Networks

AI in the Workplace and Career Development

Master AI from Fundamentals to Real-World Career Skills - Assessment

Learn Artificial Intelligence step by step, from basics to advanced skills, and prepare for high-demand careers.

Master AI from Fundamentals to Real-World Career Skills

This free online course provides a complete journey into Artificial Intelligence, covering the foundations, machine learning, deep learning, and practical applications. Learners will gain essential technical and professional skills to succeed in high-demand AI roles across industries. By the end, you will be equipped to apply AI concepts to real-world challenges and boost your career opportunities with confidence and expertise.

Does IT Matter?

Competitive Advantage

Information Systems for Competitive Advantage

This module explains more on Information Systems and Strategy. It consists of topics that cover the following aspects: Contribution of IT to organizational productivity, competitive advantage using IT in an organization, Porter’s value chain, Primary and support activities for the creation of a product or a service, Porter’s five forces framework and Strategic information systems.

What Is a Business Process?

This module describes business processes and the concept of business process reengineering. It covers the following:  business processes and documentation, managing business process documentation, ERP systems and business process management, benefits of business process management, redesigning organizational processes and ISO Certification.

This free online course shows you how the implementation of information systems affects organizational strategy.

Diploma in Information Systems and Organization Strategy

This free online data science course discusses the relationship between information systems and organizational strategy. Every institution or business maps out its future and we explore the role of information systems in keeping data safe, relevant and flowing between relevant stakeholders. This course can enrich your understanding of information management and boost your value in the workplace.