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[Big Data and Financial Management] 3.Financial Big Data Analysis and Visualization
#ICT# #IOT#

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 Cognition of Expenditure, Expense, and Cost.mp4play1.2 Cognition of Cost Accounting.mp4play1.3 Cognition of Basic Requirements and Accounting Procedures of Cost Accounting.mp4play2.1 Concept of Accumulation of Material Cost.mp4play2.2 Concept of Allocation of Material Cost.mp4play2.3 Allocation of Material Cost Using Material consumption of Fixed Ratio Method.mp4play2.4 Allocation of Material Cost Using Material Fixed Amount Method.mp4play2.5 Accounting Treatment of Material Cost.mp4play2.6 Concepts of Payroll Expenses.mp4play2.7 Calculation of Salaries.mp4play2.8 Accumulation and Allocation of Payroll Expenses.mp4play2.9 Accounting Treatment of Payroll Expenses.mp4play2.10 Collection and Allocation of Outsourcing Power Costs.mp4play2.11 Concept of Fixed Asset Depreciation.mp4play2.12 Methods of Fixed Asset Depreciation.mp4play2.13 Accumulation and Allocation of Fixed Asset Depreciation.mp4play2.14 Accumulation and Allocation of Other Expenses.mp4play3.1 Accumulation and Allocation of Auxiliary Production Cost.mp4play3.2 Direct Allocation Method.mp4play3.3 Reciprocal Method.mp4play4.1 Meaning and Contents of Manufacturing Cost.mp4play4.2 Allocation Methods of Manufacturing Labor Hour Ratio and Manufacturing Labor Compensation Ratio.mp4play5.1 Concept of Work-In-Progress.mp4play5.2 No Calculation for WIP.mp4play5.3 Calculation Based on Fixed Cost at the Beginning of the Year.mp4play5.4 Calculation Based on Consumption of Direct Material.mp4play5.5 The Proportion Method of Equivalent Production.mp4play5.6 Production Type and Cost Accounting Method of Products.mp4play5.7 Concept of Product Costing.mp4play6.1 Concept of Cost Statement.mp4play6.2 Preparation of Production Cost Statement.mp4play6.3 Analysis of Cost Statement.mp4play

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