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Banking: Fundamentals of Data Analysis with Pandas

BeginnerGuided Project

Learn to master the exploratory data analysis (EDA) in banking with Pandas framework.

4.4 (232 Reviews)

Language

  • English

Topic

  • Data Science

Industries

  • Banking

Enrollment Count

  • 2.45K

Offered By

  • IBM

Estimated Effort

  • 30 minutes

Platform

  • SkillsNetwork

Last Update

  • May 19, 2024
About This Guided Project
The purpose of this lab is to master the exploratory data analysis (EDA) in banking with Pandas framework. 

Learning Objectives

  • Explore a banking dataset with Pandas framework.
  • Build pivot tables.
  • Visualize the dataset with various plot types 

Instructors

Roman Yatsenko

Instructor, ML

Data Science, Machine Learning The Head of the E-learning tools Department, associate professor of the Economic Cynernetics and System Analysis Department, Simon Kusnets Kharkiv National Economic University, technical secretary of the International Scientific Practical Conference “Modern problems of social and economic systems modelling” (since 2010). Ph.D. in Economics, research is focused on using machine learning, mathematical modeling in economics, and e-learning applications to control information systems. Machine learning engineer with over 5 years of programming & web experience. The total quantity of publications – 101. Scientifical – 67, and 12 joint monographs. 34 methodical works, and 4 textbooks

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Bogdan Norkin

Dr.Sc. in applied mathematics.

Research Fellow, V.M. Glushkov Institute of Cybernetics of NAS of Ukraine.

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