Postgraduate Diploma in Data Science

Curriculum

Module 1: Basics Of Statistics & Probability (Optional)
Module 2: Tools & Data Management
  • Python Basics
  • Intermediate Python
  • Relational Databases
  • SQL
  • Data Extraction (Analytics in Python 3.1 to 3.7 getting data from the internet)
  • Data Cleaning (Analytics in Python 8.1 to 8.7 Cleaning with Pandas)
Module 3: Statistics & Exploratory Data Analysis
  • Statistics & Exploratory Data Analysis
  • Sampling
  • Hypothesis Testing
  • Data Analysis & Visualization (numpy)
  • Data Analysis & Visualization (pandas)
Module 4: Fundamentals Of Machine Learning
  • Linear Regression
  • Logistics Regression, Step-wise Regression, Non-Linear Regression
  • Classification
  • Dimensionality Reduction
  • Naïve Bayes
  • K-Means
  • Text Mining
  • Clustering
  • Decision Trees
  • Time Series Analysis
  • Linear Optimization

PRE-REQUISITES: The course requires an undergraduate knowledge of statistics, (descriptive statistics, regression, sampling distributions, hypothesis testing, interval estimation etc.) linear algebra and probability. Familiarity with Python or any programming language is required.

Assignments/application projects which require programming will be done using the Python programming language.

APPLICATION PROJECTS

Data Wrangling using CNC Mill Tool Wear Data

Hypothesis Testing using Cancer Atlas Data

Data Exploration using Lending Club Loan Data

Natural Language Processing (NLP) implementation using Amazon product reviews

Data Management Using Northwinds Traders Data

APPLICATION DETAILS

Program fee: USD 3,000Application Fee: (Non-Refundable) USD 50 Program Starts: 14 March 2019Application Deadline: 12 March 2019

APPLICATION DETAILS

Program fee: USD 3,000
Application Fee: (Non-Refundable) USD 50 
Program Starts: 14 March 2019
Application Deadline: 12 March 2019

 

APPLICATION DETAILS

Program fee: USD 3,000Application Fee: (Non-Refundable) USD 50 Program Starts: 14 March 2019Application Deadline: 12 March 2019

Global Ivy Emeritus Institute of Management