Master
2021/2022![Expected Learning Outcomes](/f/src/global/i/edu/results.svg)
![Bibliography](/f/src/global/i/edu/library.svg)
Data Analysis in Python
Category 'Best Course for Career Development'
Type:
Elective course (Applied Economics and Mathematical Methods)
Area of studies:
Economics
Delivered by:
Department of Economics
When:
2 year, 3 module
Mode of studies:
distance learning
Online hours:
10
Open to:
students of all HSE University campuses
Instructors:
Andrei Ternikov
Master’s programme:
Applied Economics and Mathematical Methods
Language:
English
ECTS credits:
5
Contact hours:
4
Course Syllabus
Abstract
This course will introduce students to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library.
Expected Learning Outcomes
- will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses.
Bibliography
Recommended Core Bibliography
- Nelli, F. (2015). Python Data Analytics : Data Analysis and Science Using Pandas, Matplotlib and the Python Programming Language. [Berkeley, CA]: Apress. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1056488
Recommended Additional Bibliography
- CONTENTS 1 Blender/Python Documentation 3. (2011). Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.3109D75A