iData Global Courses

Data Analytics Project Design and Process (using financial data) /Project Design by Requirements

iData uses highly complex transaction data to teach the complete workflow of real-world data analytics projects. Students gain a deep understanding of complex data structures, industry-specific special cases, and the intricate business logic behind real analytics work.

For every analytical challenge, multiple solution approaches are demonstrated, helping students build a solid and comprehensive knowledge framework.

Categories Course Package 2, Course Package 3, Course Package 4, Enterprise-Level Hands-On Projects, Flagship Course Tags Financial data analysis, Flagship Courses, Project Design, SAS (Statistical AnalysisSystem), 实战

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Course Introduction

Project Design & Workflow for Data Analytics (Financial Data)

Project Design by Requirements

Course Duration

32 Hours

Course Overview

This course focuses on hands-on project development using complex financial transaction data. It teaches the complete end-to-end workflow of a data analytics project—from requirements, data acquisition, cleaning, analysis, to insight delivery—building strong practical and interview-ready competencies.

Key Features

Structured Workflow Training: Covers every step of a real data analytics project aligned with industry and interview standards.
Interview Skill Enhancement: Addresses high-frequency interview topics through real project cases and analytical reasoning training.
Master Complex Data Structures: Understand financial industry datasets, business rules, and multi-dimensional analysis.
Multiple Analytical Solutions: Learn diverse analytical approaches to improve real-world problem-solving adaptability.
Latest Techniques: Incorporates modern analytical methods and tools used in today’s data analytics roles.

Who Should Enroll

Beginners: Those who want to master systematic data analytics workflows.
Career Changers: Professionals transitioning into the data analytics field.
Working Professionals: Those aiming to upgrade their project execution and analytical skills.
Data Analysts: Practitioners who need stronger project design and problem-solving abilities.

Learning Outcomes

After 32 hours of structured training, students will master end-to-end financial data project design and execution, gain practical experience, and demonstrate strong analytical and communication skills in interviews and real work environments.

Course Outline

Project Design & Data Acquisition: Understand requirements, define the analytics path, and clean transaction data.
Data Structure & Business Logic: Learn complex financial data models and workflow construction.
Analytics & Multiple Solutions: Apply diverse analytical methods to extract meaningful insights.
Insight Delivery & Visualization: Present results effectively using visualization and business storytelling.
Interview Preparation: Practice common analyst interview questions through mock interviews and case discussions.

Conclusion

This course provides solid technical capabilities and real project experience, enabling students to excel in data analytics interviews and job roles and to build a strong foundation for long-term career success.

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