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Executive Program in

Data Science for Supply Chain & Logistics

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5 months

110 hours

live

job oriented

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Why Data Science is required in Supply Chain?

In current environment, most of the MNCs, have changed the job titles as “Supply Chain Analyst”, “Inventory Analyst”, “Material / Supply Analyst”, “Demand Analyst”, “Logistics Analyst” and so on. The expectation from employers have changed now. They want candidates with both domain knowledge and analytical skills in Supply Chain. Unlike college education, which is theoretical, they expect candidates trained by supply chain practitioners and APICS certified professionals. Here only you will learn practical application skills and work on real time data

What are the benefits of using data science for analytics?  

to identify deviations

Staying in the know.

Building efficiency

Keeping you on budget.

Better decision making.

Application of Data Sicence/Supply Chain Analytics

Supply Chain Analytics has the power to completely transform your business, especially if you are in the manufacturing, automotive, retail, FMCG, IT sectors. Supply chain analytics lets you make sense of the data in your supply chain, so you can make better decisions. In most organizations, the supply chains have grown and evolved over many years. Each one is a potentially data-creating monster and data can be in all sorts of places and in all sorts of formats. The global nature of today’s business has led modern supply chains to become more intricate and diverse than anyone could have dreamed of only a few decades ago. Most organizations have a network of supply chains connecting various suppliers and partners

Who Choose Thoughtware Analytics?

All the specialization topics are handled by Industry experts, qualified/certified, who have domain related work experience, applied the concepts in their work-place.

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Away from tradition academic training by trainers, who have no professional experience, here you will get the first hand experience from the Industry experts

Program Eligibility

Graduates in any discipline with aptitude for Mathematics/Statistics

Basic computer and MS Office knowledge

Program is suitable for all levels, whether you are in final year, freshers looking for job, or at entry/middle level

Looking for change from current domain to Analytics domain

Program Content

PART I – Data Analytics Tools (Common for all Specialization – 75 hrs)

Module 1 – Introduction to Supply Chain Analytics (2 hrs)

  • Understanding Supply chain and logistics management. Industrial perspective

  • Current day Challenges

  • Data Science and Data Analytics?

  • How Data Science can assist in improvement of Supply chain performance

  • Introduction to analytical tools used in the program

Module 2 – Python for data analytics (15 hrs)

  • Suitable platform (Anaconda/Jupiter or Google Collaboratory?)

  • Conditional & Loop statements

  • Functions

  • Exceptions handling, types of error

  • Modules

  • Tuples, lists, dictionaries

  • NumPy, Pandas

  • Matplotlib, seaborn

  • Importing files in Python

  • Working on datasets(incl preparation, modeling & analysis)

Module 3 – Applied Statistics (8 hrs)

  • Statistics foundations

  • Probability and statistical inferences

  • Hypothesis testing applications

  • Working with data sets

  • Predictive models using regression

Module 4 – MySQL (10 hrs)

  • Introduction

  • Fundamental statements

  • Refining selection (charts & graphs)

  • Database

  • Joins & string function

  • Functions

  • Projects & case studies

Module 5 – Advanced excel (10 hrs)

  • Excel functions

  • If, for, while statements

  • Solver

  • What if analysis (goal seek, scenario manger, data table)

  • Slicers

  • Macros

  • VB

Module 6 – Power BI (10 hrs)

  • Introduction

  • Query editor

  • Data Models& relationships

  • DAX (Data Analysis Expressions)

  • Reporting

Module 7 – Introduction to ML (20 hrs)

  • Introduction to machine learning

  • Various machine learning models

  • Regression

  • Classification

  • Clustering – K means

  • KNN

  • Decision trees

  • Ensemble techniques

  • Support Vector machines

  • Bayesian family algorithms

  • Time-series analysis

  • Recommendation systems

  • Text anlaytics

  • Projects

Module 1 – Data Science basics (2 hrs)

  • What is coding?

  • Which tools and why?

  • Big Data understanding

  • Statistics/Mathematics basics

Module 2 – Python for data analytics (20 hrs)

  • Is Anaconda/Jupiter still relevant? How Google Collaboratory is replacing it?

  • Conditional & Loop statements

  • Functions

  • Exceptions handling, types of error

  • Modules

  • Tuples, lists, dictionaries

  • NumPy, Pandas

  • Matplotlib

  • Importing files in Python

  • Seaborn

  • Working on datasets(incl preparation, modeling & analysis)

Module 1 – Data Science basics (2 hrs)

  • What is coding?

  • Which tools and why?

  • Big Data understanding

  • Statistics/Mathematics basics

Module 2 – Python for data analytics (20 hrs)

  • Is Anaconda/Jupiter still relevant? How Google Collaboratory is replacing it?

  • Conditional & Loop statements

  • Functions

  • Exceptions handling, types of error

  • Modules

  • Tuples, lists, dictionaries

  • NumPy, Pandas

  • Matplotlib

  • Importing files in Python

  • Seaborn

  • Working on datasets(incl preparation, modeling & analysis)

Part II –Specialization (Choose any one)

HR /PEOPLE / WORKFORCE ANALYTICS

Section A - 10 hrs

  • Human resource planning & acquisition

  • Developing the leaders of tomorrow

  • Learning and development

  • Managing diversity with local in mind

  • Health and Safety

  • Creating a Quality Employee Experience

  • Learning organization

  • Retention of employees

  • Performance measurement, HR Metrics & Benchmarking

  • Analytical applications in HR

 

Section B - 30 hrs, Similar to below Case studies (min 4, assignment 1)

  • HR analytics

  • Workforce analytics

  • Recruitment analytics

  • Engagement and performance analytics

  • Recruitment Analytics (employee churn)

  • Absenteeism, incident rate, inactivity rate, severity rate

  • Analysis and visualization of HR data

SUPPLY CHAIN ANALYTICS

Section A - 10 to 20 hrs

  • Concepts of Supply Chain

  • Supply Planning, Demand Management, Capacity Planning, PPC

  • Purchasing, S&OP, MPS, MRP, Demand Forecasting

  • Supply Chain Metrics

  • Challenges in Supply Chain

  • How analytics can help improve Supply chain challenges

 

Section B - 30 to 40 hrs

  • Holtz Winter Forecasting using Solver

  • Regression in Forecasting using Solver

  • Warehouse location Optimization using solver

  • Distribution Optimization using Solver

  • E-commerce Distribution – Supply Chain metrics evaluation using SQL

  • Inventory modelling, EOQ, Safety stock, Shortages, using Python, ML

  • Vehicle routing optimization, using Python, ML

  • Distribution optimization, considering fixed and manufacturing cost using Python, ML

  • Warehouse Employees scheduling using Python, ML

  • Container loading optimization, using Python, ML

  • Retail environment – calculation of safety stock and re-order point, using Python, ML

  • Application of items bought together – in warehouse layout, recommender system

  • Fraud detection in supply chain operations, using Python, ML

  • Vehicle routing using TSP model in python

  • Vendor rating and selection using Linear programming in python

FINANCE ANALYTICS

​Section A - 20 hrs

  • Brief over-view of concepts in Finance, Costing, Banking, Insurance, Compliance

  • Metrics and benchmarking

  • Digital Finance management

  • Challenges in today’s world

  • Applications of Financial Analytics

 

Section B - 30 hrs

Similar to below (min 4, Assignment 1)

  • Build a Credit Scorecard Model

  • Stock Price forecasting

  • Portfolio Optimization

  • Segmentation Modelling

  • Pricing financial products

  • Fraud model

MARKETING ANALYTICS

Section A - 20 hrs

  • Basic concepts in Sales, Marketing, content marketing, social media marketing, market research, Influencer marketing..

  • Marketing trends & CRM

  • Metrics & benchmarking

  • Why Marketing analytics is key to today’s survival?

 

Section B - 60 hrs, Similar to below Case studies (min 4, assignment 1)

  • WordPress

  • Content creation

  • Paid ads

  • Marketing tools

  • ChatGPT

Duration: 5 months, ~ 125 Hrs Program(live)

Day: Week-ends, IST. Enrollment under Progress

Mode: Online, Live and Inter-active

Platform: GoToMeeting and/ or similar

Certificate:

1.    Enrollment certificate - < 80% attendance

2.    Participation certificate - > 80 % attendance

3.    Completion certificate - > 80 % attendance + 60% score in final exam (1 attempt)

4.    Internship certificate - > 80 % attendance + 60% score in final exam (1 attempt) + one project under our guidance

 

The e-certificates are provided from “Thoughtware Analytics” (a unit of “Thoughtware Training Pvt Ltd”).

Validity-life time

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Program Conducted by:

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  • LinkedIn

Lead Trainer:
Mr. Pattabhi Raman, APICS – CPIM, CSCP, CLTD, DDI – DDPP, PMP

Globally recognized Supply Chain expert

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Advisers & Consultants 

 

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Training Materials:

All Excel/SQL/Python templates/solutions and video recordings link/login will be provided. Recommended books will be suggested

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Notes:

1. Pl contact our team, for best prices (early-bird etc..).

 

2. Early bird discount is applicable, if payment is made within due date, in single instalment

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3. Only e-certificate will be provided

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4. This is special promotional price, no refund or adjustment possible.

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5. This pricing is for individuals and request for quote, if you need for corporate training

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6. Content of the program will be updated regularly, based on market developments and domain experts’ advice

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7. Option to choose more than one specialization is possible at additional cost

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8. Below Placement assistance will be provided to all candidates who have 80% attendance + > 60% score in final exam

*           Resume Review

*           Mock-interview

*           Job referrals

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9. No refund or exchange is possible under any circumstances. Pl make sure you understand the content, scope and methodology, before you enroll

 

Payment:

Payment from multiple modes possible – UPI, Credit card, Debit card, Internet Banking and Pocket Wallet. Please reach out to us to get the payment link Thoughtware Training Pvt Ltd. www.exxpertscm.net

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Mr Parameswaran, CA        

Ex CFO – Blue Dart, Taj, Sri Lankan & Jet Airways

Dr PC Gita PhD

Ex- CIPLA, SCI, Protec

Marketing & HR Specialist

To enroll, or for more details
Send us a message
and we’ll get back to you shortly.

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Note:

# All rights reserved. Program content, schedule maybe updated depending on requirements

# All video links, will be valid for limited period. For long term use, you are requested to download to your local system

# The candidate is expected to have latest version of software installed in the system and ready with the system during the program. We will not involve in software installation, during our programs. However, pre-assistance will be provided

# Though we provide placement assistance, we do not guarantee the job

# This Executive program is developed for skill development and are not recognized by any universities and government authorities

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