Banking: Fundamentals of Data Analysis with Pandas
Learn to master the exploratory data analysis (EDA) in banking with Pandas framework.
4.4 (252 Reviews)
Language
- English
Topic
- Data Science
Industries
- Banking
Enrollment Count
- 2.55K
Offered By
- IBM
Estimated Effort
- 30 minutes
Platform
- SkillsNetwork
Last Update
- September 7, 2024
Learning Objectives
- Explore a banking dataset with Pandas framework.
- Build pivot tables.
- Visualize the dataset with various plot types
Language
- English
Topic
- Data Science
Industries
- Banking
Enrollment Count
- 2.55K
Offered By
- IBM
Estimated Effort
- 30 minutes
Platform
- SkillsNetwork
Last Update
- September 7, 2024
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
Read moreBogdan Norkin
Dr.Sc. in applied mathematics.
Research Fellow, V.M. Glushkov Institute of Cybernetics of NAS of Ukraine.
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