The MSc. in Global Technology and Innovation Management & Entrepreneurship is a unique blend of modules. It incorporates technology & innovation management while preparing students with an entrepreneurial skill set, based on state of the art teaching and industry-partnered projects. GTIME's structure provides students with an international experience by asserting them to complete the second year of the course at one of 6 global partner universities.
Data Science & Machine Learning for Managers
(Elective Module by NIT)
Prof. Christoph Ihl
Credit Points: 6
Semester: 1
Lecturer: Prof. Christoph Ihl
Examination Form: Written elaboration and project work
Learning Outcomes:
Upon completion of this module, the students would be able to:
Acquire large amounts of data from the Internet via APIS or through web scraping
Cleanse and transform data
Explore and visualize data in a goal-oriented manner
Model data using advanced machine learning techniques with respect to classifications and predictive forecasts
Communicate data and results in the form of products and applications
Content:
Basic Workflows in Data Science
Programming Basics: Functions, Loops, Application
Data Access, Scraping and Import
Data Transformation with dplyr and data.table
Dealing with Text Data
Exploratory Data Analysis
Data Visualization with ggplot2
Data Modelling Overview
Unsupervised Machine Learning
Supervised Machine Learning
Deep Learning
Data Communication: R Markdown, Shiny Dashboards