Supply Chain & ChatGPT Master Class : The Ultimate Guide
Supply Chain & ChatGPT Master Class : The Ultimate Guide, available at $44.99, has an average rating of 4.17, with 45 lectures, 1 quizzes, based on 52 reviews, and has 1431 subscribers.
You will learn about Becoming Supply Chain Data Scientist Made Easy with Chat GPT From Novice to Pro: A Comprehensive Guide to Mastering Supply Chain Analytics Easily write Python Code with the help of Chat GPT Data-Driven Insights Made Easy The Power of Data in Your Hands Embarking on the Analytics Journey A Beginner's Guide to Supply Chain Optimization Data Driven Decision Making Become Supply Chain Data Analyst Become Supply Chain Data Engineer This course is ideal for individuals who are Supply Chain Manager or Consultants and Strategy Professionals or Supply Chain Analyst or Business Analysts and Data Scientists or Demand Planners and Forecasting Analysts or Inventory Planners and Managers or Logistics and Transportation Managers or Operations Managers It is particularly useful for Supply Chain Manager or Consultants and Strategy Professionals or Supply Chain Analyst or Business Analysts and Data Scientists or Demand Planners and Forecasting Analysts or Inventory Planners and Managers or Logistics and Transportation Managers or Operations Managers.
Enroll now: Supply Chain & ChatGPT Master Class : The Ultimate Guide
Summary
Title: Supply Chain & ChatGPT Master Class : The Ultimate Guide
Price: $44.99
Average Rating: 4.17
Number of Lectures: 45
Number of Quizzes: 1
Number of Published Lectures: 45
Number of Curriculum Items: 53
Number of Published Curriculum Objects: 51
Number of Practice Tests: 1
Original Price: $39.99
Quality Status: approved
Status: Live
What You Will Learn
- Becoming Supply Chain Data Scientist Made Easy with Chat GPT
- From Novice to Pro: A Comprehensive Guide to Mastering Supply Chain Analytics
- Easily write Python Code with the help of Chat GPT
- Data-Driven Insights Made Easy
- The Power of Data in Your Hands
- Embarking on the Analytics Journey
- A Beginner's Guide to Supply Chain Optimization
- Data Driven Decision Making
- Become Supply Chain Data Analyst
- Become Supply Chain Data Engineer
Who Should Attend
- Supply Chain Manager
- Consultants and Strategy Professionals
- Supply Chain Analyst
- Business Analysts and Data Scientists
- Demand Planners and Forecasting Analysts
- Inventory Planners and Managers
- Logistics and Transportation Managers
- Operations Managers
Target Audiences
- Supply Chain Manager
- Consultants and Strategy Professionals
- Supply Chain Analyst
- Business Analysts and Data Scientists
- Demand Planners and Forecasting Analysts
- Inventory Planners and Managers
- Logistics and Transportation Managers
- Operations Managers
“Automation and AI have the potential to disrupt certain job roles, but they also create new opportunities and transform industries.”
Are you ready to elevate your supply chain management skills to the next level? In today’s fast-paced world, staying updated with cutting-edge technologies like AI and analytics is no longer just an advantage; it’s a necessity. That’s why we’re thrilled to introduce our brand-new course: “Supply Chain & ChatGPT Master Class : The Ultimate Guide”!
With the increasing demand for professionals skilled in supply chain analytics, learning this domain can open up various career opportunities. Supply chain analysts, data scientists, operations managers, and supply chain consultants are among the roles where expertise in supply chain analytics is highly valued.
— Course Highlights:
Gain In-Depth Knowledge: Dive deep into the realm of supply chain and Chat GPT to extract valuable insights, optimize processes, and drive informed decision-making.
Python for Supply Chain: Acquire the essential Python programming skills required for data analysis, manipulation, visualization, and modeling in the context of supply chain management. Unleash the power of pandas, NumPy, and matplotlib to handle real-world data effectively.
AI-Powered Insights: Discover how to harness the capabilities of Chat GPT, a cutting-edge language model, to automate tasks, generate forecasts, and uncover hidden patterns in your supply chain data. Leverage AI to make smarter, data-driven decisions.
Practical Use Cases: Explore real-world applications of supply chain analytics, such as demand forecasting, inventory optimization, supplier management, risk assessment, and more. Learn through hands-on projects and case studies that simulate real industry scenarios.
Learning Supply Chain Analytics can provide several benefits and advantages in today’s business landscape. Here are some reasons why learning Supply Chain Analytics can be valuable:
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Optimization of Operations: Supply Chain Analytics enables you to analyze and optimize various aspects of the supply chain, such as inventory management, demand forecasting, production planning, and logistics.
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Improved Decision Making: Supply Chain Analytics provides insights into the supply chain processes, helping you make data-driven decisions. It enables you to identify trends, patterns, and potential risks in the supply chain, allowing you to take proactive measures to mitigate issues and make informed strategic choices.
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Enhanced Efficiency and Cost Savings: By applying analytics techniques to supply chain data, you can identify inefficiencies, bottlenecks, and areas for improvement.
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Demand Forecasting and Planning: Supply Chain Analytics helps in accurate demand forecasting and planning, allowing businesses to align their inventory levels, production capacities, and distribution networks with anticipated customer demand.
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Supply Chain Risk Management: Analytics can help identify and assess potential risks in the supply chain, such as disruptions in logistics, supplier delays, natural disasters, or geopolitical events.
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Enhanced Customer Service: Supply Chain Analytics enables businesses to gain insights into customer behavior, preferences, and buying patterns.
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Competitive Advantage: In today’s competitive business landscape, leveraging analytics in the supply chain can provide a significant competitive advantage.
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Sustainability and CSR: By analyzing supply chain data, businesses can identify opportunities to reduce environmental impact, optimize transportation routes, minimize waste, and support ethical sourcing practices.
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Future-Proofing: As businesses become more data-driven and rely on analytics for decision-making, understanding and applying analytics in the supply chain becomes crucial. Learning supply chain analytics equips you with skills that are in high demand and can future-proof your career in an increasingly data-centric business environment.
Overall, learning Supply Chain Analytics empowers businesses and professionals to make informed decisions, optimize operations, drive efficiency, and gain a competitive edge in the complex and interconnected world of supply chains.
“Job cuts due to AI are a reminder of the need for continuous learning and upskilling to stay relevant in a rapidly evolving job market.”
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Best Practices To Understand Course Content
Lecture 3: Course Navigation
Chapter 2: Supply Chain & Analytics
Lecture 1: Efficient Supply Chain
Lecture 2: Responsive Supply Chain
Lecture 3: Why Analytics in Supply Chain – Part 1
Lecture 4: Why Analytics in Supply Chain – Part 2
Lecture 5: Models
Lecture 6: Prescriptive , Predictive & Descriptive Analytics
Chapter 3: Rise of ChatGPT & Python
Lecture 1: Python Vs Excel & R
Lecture 2: Installing Python
Lecture 3: Python Libraries
Lecture 4: Getting Used to Jupyter Notebook
Lecture 5: Getting Started with Chat GPT
Lecture 6: Write code without knowing Coding with Chat GPT
Chapter 4: Supply Chain – Statistics & Algebra
Lecture 1: Functions
Lecture 2: Linear Function
Lecture 3: Polynomial Function
Lecture 4: Power Function
Lecture 5: Inverse Function
Lecture 6: Exponential Function
Lecture 7: Logarithmic Function
Lecture 8: Forming Supply Chain Functions
Lecture 9: Central Tendencies
Lecture 10: Spread & Dispersion
Chapter 5: Python Reloaded
Lecture 1: Warming Up with Python
Lecture 2: Data Structures & Lists
Lecture 3: How to Subset
Lecture 4: Dictionary
Lecture 5: Array
Lecture 6: Battle of File Reading & Beginning of Data Analysis
Chapter 6: Fun & Learn
Lecture 1: Surprise
Chapter 7: Descriptive Analytics – Visualization
Lecture 1: Descriptive Analytics
Lecture 2: Plotting a Line Chart
Lecture 3: Plotting a Scatter Chart
Lecture 4: Plotting a Histogram
Chapter 8: Prescriptive Analytics
Lecture 1: Prescriptive Analytics
Lecture 2: Types of Optimization
Lecture 3: Rule of Differentiation
Lecture 4: Local & Global Maxima and Minima
Lecture 5: Calculating Max & Min
Chapter 9: Predictive Analytics with ChatGPT
Lecture 1: Causal Model Theory
Lecture 2: Building A Causal Model
Lecture 3: Chat GPT & Causal Model Output
Chapter 10: Predictive Analytics with ChatGPT & Python
Lecture 1: Simple Linear Regression – Causal Model with Python
Instructors
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Akshay Yewale
Supply Chain Sensei
Rating Distribution
- 1 stars: 3 votes
- 2 stars: 1 votes
- 3 stars: 8 votes
- 4 stars: 14 votes
- 5 stars: 26 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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