Offered By: IBM
Basics of Data Analysis with Pandas for Banking
The goal of this laboratory work is to master exploratory data analysis (EDA) in the banking sector using the Pandas platform.
Continue readingGuided Project
Data Analysis
5.0
At a Glance
The goal of this laboratory work is to master exploratory data analysis (EDA) in the banking sector using the Pandas platform.
After completing this lab work, you will be able to
- In-depth data exploration: You will master techniques and methods for exploring a set of banking data using the Pandas platform. You will be able to analyze various aspects of the data, highlight key information, and extract valuable insights.
- Mastery of creating pivot tables: You will learn how to create pivot tables that will help you summarize, aggregate, and analyze data in a convenient and informative way. Pivot tables will make it easier for you to make data-driven decisions based on your analysis.
- A wide range of graphical visualizations: After this lab work, you will be able to visualize a dataset using various types of charts. This includes line charts for tracking trends, bar charts for comparing data, pie charts for proportions, and much more. You will be able to choose the most effective ways to visually present data for maximum understanding.
Estimated Effort
1 час
Level
Beginner
Industries
Banking, Банковское дело
Skills You Will Learn
Data Analysis, Machine Learning, Pandas, Python
Language
Russian
Course Code
GPXX0K5BRU