LearnQuest
Machine Learning for Supply Chains Specialization

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LearnQuest

Machine Learning for Supply Chains Specialization

Use Machine Learning in the Supply Chain. You will learn to use machine language techniques to analyze and predict retail stock in the supply chain.

Neelesh Tiruviluamala
Rajvir Dua

Instructors: Neelesh Tiruviluamala

3,537 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject
3.7

(64 reviews)

Intermediate level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
3.7

(64 reviews)

Intermediate level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Specialization - 4 course series

What you'll learn

  • Learn to merge, clean, and manipulate data using Python libraries such as Numpy and Pandas

  • Gain familiarity with the basic and advaned Python functonalities such as importing and using modules, list compreohensions, and lambda functions.

  • Solve a supply chain cost optimization problem using Linear Programming with Pulp

Skills you'll gain

Category: Python Programming
Category: Data Structures
Category: Data Manipulation
Category: NumPy
Category: Programming Principles
Category: Pandas (Python Package)
Category: Data Analysis
Category: Plot (Graphics)
Category: Supply Chain
Category: Data Wrangling
Category: Data Cleansing
Category: Applied Machine Learning
Category: Exploratory Data Analysis
Category: Computer Programming
Category: Operations Research
Category: Data Transformation

What you'll learn

  • Building ARIMA models in Python to make demand predictions

  • Developing the framework for more advanced neural netowrks (such as LSTMs) by understanding autocorrelation and autoregressive models.

Skills you'll gain

Category: Time Series Analysis and Forecasting
Category: Regression Analysis
Category: Trend Analysis
Category: Forecasting
Category: Customer Demand Planning
Category: Predictive Modeling
Category: Statistical Modeling
Category: Data Analysis
Category: Data Visualization
Category: Pandas (Python Package)
Category: Matplotlib
Category: Exploratory Data Analysis
Category: Demand Planning
Category: Supply Chain Management

What you'll learn

Skills you'll gain

Category: Image Analysis
Category: Artificial Neural Networks
Category: Computer Vision
Category: Machine Learning
Category: Statistical Modeling
Category: Supply Chain
Category: Unsupervised Learning
Category: Classification And Regression Tree (CART)
Category: Anomaly Detection
Category: Predictive Modeling
Category: Deep Learning
Category: Random Forest Algorithm
Category: Supply Chain Management
Category: Forecasting
Category: Applied Machine Learning
Category: Performance Tuning
Category: Customer Demand Planning
Category: Supervised Learning
Category: Natural Language Processing

What you'll learn

  • Calcualte safety stock using SARIMA predictions combined with manipulaitng lead times.

Skills you'll gain

Category: Predictive Analytics
Category: Pandas (Python Package)
Category: Time Series Analysis and Forecasting
Category: Predictive Modeling
Category: Exploratory Data Analysis
Category: Product Knowledge
Category: Data Analysis
Category: Forecasting
Category: Data Wrangling
Category: Data Visualization
Category: Inventory Management System
Category: Data Manipulation
Category: Statistical Modeling
Category: Feature Engineering
Category: Demand Planning
Category: Matplotlib
Category: Data Transformation
Category: Inventory Control
Category: Inventory Management

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Instructors

Neelesh Tiruviluamala
LearnQuest
8 Courses17,999 learners

Offered by

LearnQuest

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