[Big Data and Financial Management] 3.Financial Big Data Analysis and Visualization-Online Course-CATECP

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[Big Data and Financial Management] 3.Financial Big Data Analysis and Visualization

Lesson Code: TCEN2026I016

Clicks：

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Academic Hours

3.20hours

Publish Date

Jul 2026

Lecturer

1. Lecturer WEI LiGuangxi Financial Vocational College

2. Lecturer PANG JingrongGuangxi Financial Vocational College

3. Lecturer CHENG CailiGuangxi Financial Vocational College

4. Lecturer HE ShuningGuangxi Financial Vocational College

General Introduction

This course focuses on developing trainees’ capabilities in financial data analysis and data mining. It primarily introduces the core methods and technologies related to data collection, data cleaning and integration,

data visualization, and financial statement analysis. The course is designed to help trainees master the complete practical workflow from data preprocessing to business value discovery.

This Course is for

1. Helping trainees master the core processes and methods of data collection, cleaning, integration, and financial indicator analysis.
2. Enabling trainees to proficiently use visualization tools to conduct financial data analysis and independently prepare professional analytical reports.
3. Developing trainees’ understanding of the business logic underlying data, thereby establishing a solid foundation for further study in artificial intelligence and intelligent financial decision-making.

Learning Materials

1. Corresponding PPT
2. Online Course Video
3. Simulation Question Banks

Recognized By

Benefits of Learning

1. Being able to complete data preprocessing tasks, including financial data collection, cleaning, and integration, in accordance with standardized data procedures.
2. Capable of using visualization tools to present and interpret financial data in an intuitive and analytical manner.
3. Being able to calculate key financial statement indicators and conduct comparative trend analyses.
4. Capable of independently preparing professional financial data analysis reports.
5. Being able to identify operational issues and potential business value reflected in financial data through preliminary data mining techniques.
6. Establishing the necessary foundation for further study in intelligent finance and business decision analysis.

Courses Videos

1.1 Concepts of Financial Big Data.mp4play 2.1 Data Cleaning Concept.mp4play 2.2 Practical Operation of Data Cleaning.mp4play 2.3 Concepts and Operations of Data Integration .mp4play 3.1 Concepts and Elements of Data Visualization.mp4play 3.2 Data Visualization Process and Tools.mp4play 3.3 Data Visualization Graphics and Applications.mp4play 3.4 Data Visualization Practical Operation.mp4play 4.1 Financial Statement Analysis Methods.mp4play 4.2 Concept of Balance Sheet.mp4play 4.3 Comprehensive Analysis of Balance Sheet.mp4play 4.4 Income Statement Analysis.mp4play 4.5 Cash Flow Statement Analysis.mp4play 5.1 Profitability Analysis.mp4play 5.2 Solvency Analysis.mp4play 5.3 Operational Capability Analysis.mp4play 5.4 Development Capability Analysis 1.mp4play 5.5 Development Capability Analysis 2.mp4play

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