Programming and Big Data 7,5 Credits

Course Contents

This course develops the students’ ability to manage big data and to analyze it using descriptive and
graphical methods. The course will contain three major parts described below.
1. A Practical and modern introduction to Python:
This part will introduce Python. We cover fundamental programming concepts where students learn how
to develop their own code but also to use libraries and packages for management, descriptive analysis, and
visualization of big data. The students will learn important parts of the Python language, packages and
libraries that are required for efficient solving a variety of problems.
ENCLOSURE 6.3
2. SQL (Structured Query Language)
The second part of the course SQL is introduced. This is a specific programming language created for
accessing, retrieving and manipulating data in databases. In this part of the course, students will learn the
most important aspects of SQL language. In the end of the course, students will have practical skills in
querying and managing data using SQL.
3. Integration of Python and SQL
In the final part we integrate Python with SQL. When analyzing big data it is important to know how to
exchange data and analytical results between different programs. The students will learn how to retrieve,
manage and analyze data using SQL and Python.

Prerequisites

Admitted to a doctoral program in statistic, economics, or business administration or a related subject of a recognized business school or university.

Level of Education: XXX
Course code/Ladok code: FJPBD32
The course is conducted at: Jönköping International Business School Last modified 2022-09-22 13:13:13