Duke Corporate Education

Post Graduate Certificate in Product Management

Develop a product mindset, master relevant product management skills, and build a product of your own through user research, prototyping, development, and product analysis. Start your Post Graduate Certificate in Product Management journey today.

Starts on 15 February 2023 – 6 Months Duration

This program is offered in partnership with upGrad, a global leader in higher online education with 2 million learners across 100 countries worldwide. With the latest technology, pedagogy, industry partners and world-class faculty, upGrad creates immersive online learning experiences for learners globally.

Duke Corporate Education

Post Graduate Certificate in Product Management

Joint certificate from Duke Corporate Education and upGrad :

  • Duke CE , Ranked #3 in Executive Education by the Financial Times
  • Lifetime access to Duke CE’s Thought Leadership journal ‘Duke CE Dialogue’
  • Certificate easily shareable across LinkedIn, etc

Key Program Highlights


  STUDY MODEL

Online, 30 live sessions, 10 weeks of Product Mindset Bootcamp
 
 


  ACCREDITATION

Duke University Corporate Education accredited


  DURATION 

6 months


  ELIGIBILITY

Bachelor Degree or equivalent, English language proficiency 


  FEES

USD 3,200 
 


  VALUE-ADD

3 years unlimited content access

Course Overview

Data Analysis in Excel

Introduction to DS Landscape
Python Programming Essentials I – Variables, Expressions, and Control Statements
Python Programming Essentials II – Functions and Data Structures
Python Libraries for Data Science – NumPy
Python Libraries for Data Science – Pandas
Python Assignment
Data Analysis using SQL
Practical Data Considerations: Data Cleaning and Preparation
Course Project: Python

Exploratory Data Analysis
Visualization in Python
Visualization using Tableau
Data Storytelling
Visualisation and Storytelling Assignment
Inferential Statistics
Hypothesis Testing
Designing Business Experiments
Course Project: Statistics

Linear Regression in a predictive setting
Introduction to Classification: Logistic Regression
Evaluation methods in Classification Models
Model Selection & Practical Consideration around Modelling + KNN
Decision Tree Models
Introduction to Ensemble Models: Random Forest & Boosting
Assignment
Unsupervised Learning: Clustering
Unsupervised Learning: Association Rules Mining (Market Basket Analysis)
Course Project: Machine Learning

Introduction to Deep Learning
Classification & Regression Models using Neural Networks
Introduction to Convolutional Neural Networks
Introduction to Natural Language Processing
Modelling on Text data
Assignment
Framework to AI & Business Strategy
Executing AI Strategy

Advanced Python Programming
Advanced SQL
Introduction to Time Series
Recommender Systems
DL in Tf & Optimization (Optional)
RNN
Applications in CV
Assignment

Capstone Project II

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