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Take Free Aptitude Test 1

Certification Program in

Certified Supply Chain Analyst

Using Data Science/Machine Learning/AI in Python

3 Months

70 hours

live

job oriented

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Why Supply Chain Analytics?

• 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

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• The expectation from employers have changed now. They want candidates with both domain knowledge and analytical skills in Supply Chain

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• 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 Supply Chain Analytics?  

to identify deviations

Staying in the know.

Building efficiency

Keeping you on budget.

Better decision making.

Career Opportunities

Entry-Level Positions:

- Supply Chain Analyst: Collecting and analyzing data to support supply chain decisions.

- Logistics Coordinator: Managing the transportation and storage of goods.

- Inventory Analyst: Monitoring inventory levels and ensuring accuracy.

 

Mid-Level Positions:

- Senior Supply Chain Analyst: Leading more complex analyses and projects, mentoring junior analysts.

- Operations Manager: Overseeing daily operations, ensuring efficiency, and implementing process improvements.

- Procurement Specialist: Managing supplier relationships and negotiating contracts.

 

Advanced Roles:

- Supply Chain Manager: Overseeing all supply chain activities, managing teams, and developing strategies.

- Logistics Manager: Leading logistics operations, including transportation and warehousing.

- Demand Planner: Forecasting customer demand and aligning supply chain activities to meet these forecasts. •

 

Specialized Roles:

- Supply Chain Consultant: Providing expert advice to improve supply chain performance for various clients.

- Data Scientist/Analyst: Applying advanced analytical techniques and machine learning to supply chain data. o Risk

- Management Specialist: Identifying and mitigating risks within the supply chain.

 

Leadership Positions:

- Director of Supply Chain: Setting strategic direction for supply chain operations at a higher level.

- Chief Supply Chain Officer (CSCO): Leading the entire supply chain function, influencing corporate strategy.

 

Industry-Specific Opportunities:

- E-commerce Supply Chain Analyst: Focusing on the unique challenges and opportunities in online retail.

- Manufacturing Supply Chain Analyst: Specializing in optimizing manufacturing processes and supply chains.

- Healthcare Supply Chain Analyst: Managing the supply chain for medical products and services.

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

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Supply chain analytics involves the use of data and analytical tools to improve the efficiency and effectiveness of supply chain operations. Here are the key points:

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  • Data Collection: Gathering data from various sources within the supply chain, including suppliers, manufacturers, distributors, and customers.

  • Descriptive Analytics: Analyzing historical data to understand past performance and identify patterns and trends.

  • Predictive Analytics: Using statistical models and machine learning algorithms to forecast future demand, supply, and potential disruptions.

  • Prescriptive Analytics: Recommending actions and strategies based on predictive insights to optimize supply chain performance.

  • Real-time Monitoring: Tracking supply chain activities in real time to identify issues and opportunities for immediate intervention.

  • Inventory Optimization: Using analytics to balance inventory levels, reduce carrying costs, and minimize stockouts.

  • Demand Planning: Forecasting customer demand to ensure that the right products are available at the right time and place.

  • Supply Chain Risk Management: Identifying and mitigating risks in the supply chain through predictive and prescriptive analytics.

  • Supplier Performance Analysis: Evaluating supplier performance based on data to enhance supplier relationships and improve procurement processes.

  • Cost Reduction: Identifying areas for cost savings in procurement, production, transportation, and warehousing.

  • Sustainability Analysis: Assessing the environmental impact of supply chain operations and identifying opportunities for sustainability improvements.

  • Customer Service Improvement: Enhancing customer satisfaction by ensuring timely and accurate order fulfillment through data-driven insights.

  • Process Optimization: Streamlining supply chain processes to improve efficiency and reduce waste.

  • Collaboration and Visibility: Facilitating better communication and collaboration among supply chain partners through shared data and insights.

  • Performance Measurement: Establishing key performance indicators (KPIs) and metrics to monitor and evaluate supply chain performance continuously.

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 – 60 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 the improvement of Supply chain performance

  • Introduction to analytical tools used in the program

Module 2 – Python for data analytics (10 hrs)

  • Basic Introduction

  • 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 (4 hrs)

  • Statistics foundations

  • Probability and statistical inferences

  • Hypothesis testing applications

  • Working with data sets

  • Predictive models using regression

Module 4 – MySQL (6 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 (6 hrs)

  • Introduction

  • Query editor

  • Data Models & relationships

  • DAX (Data Analysis Expressions)

  • Reporting, dash board

Module 7 – Introduction to ML / AI (20 hrs)

  • Introduction to machine learning

  • Various machine learning models (Supervised, Unsupervised & Reinforced)

  • Regression

  • Classification

  • Clustering – K means

  • KNN

  • Decision trees

  • Support Vector machines

  • Artificial Neural Networks

  • Bayesian family algorithms

  • Forecasting Models (Winter Holz, ARIMA)

  • Recommendation systems

  • Text analytics

  • 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

SUPPLY CHAIN SPECIALIZATION

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 (15 to 25 hrs, Topics may vary)

• 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

Duration: 3 months, ~ 70 Hrs Program(live)

Day: Week-ends, IST. Enrollment under Progress

Mode: Online, Live and Inter-active

Platform: GoToMeeting and/ or similar

Certificate:

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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

Take Free Aptitude Test 2

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:

# Usage of many of the above applications requires additional knowledge of several mathematical tools, statistical methods, operation research methods etc.

 

# These topics requires separate preparation from candidates to fully understand some of the applications. Necessary software has to be made available by you

 

# 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 the 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

 

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

 

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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Dr PC Gita PhD

Ex- CIPLA, SCI, Protec

Marketing & HR Specialist

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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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