Team Development 19 – Data Management
Overview
This course is designed to strengthen your team’s ability to manage and leverage data effectively within the finance function. You’ll explore key themes such as identifying critical data elements, capturing and transforming data, and applying governance practices to ensure accuracy and compliance. From foundational concepts to advanced techniques like machine learning, each module offers practical tools and insights supported by case studies, expert videos, blogs, podcasts, and real-world challenges. Get ready to elevate your capabilities and embrace the data-driven future of finance with confidence.
Learning Objectives:
After completion of this course, participants will be able to:
- Identify capture and store important data
- Transform and integrate data
- Understand data governance
- Harness the power of data science and machine learning
Lessons:
Lesson 1: Identifying Important Data
Discover the core data elements that power finance operations, learn to prioritize them by business impact, and uncover their interdependencies to build a strong, strategic data management foundation.
Lesson 2: Capturing and Storage
Master the essentials of data collection by exploring diverse data sources and using modern capture technologies to ensure accuracy, efficiency, and timeliness in your financial data.
Lesson 3: Data Governance
Gain clarity on data governance by understanding key policies, standards, and compliance strategies to ensure data privacy, regulatory alignment, and responsible financial data management.
Lesson 4: Transform and Integrate Data
Learn how to transform and integrate financial data across platforms, enabling actionable insights and efficient data flow in hybrid environments.
Lesson 5: Data Science and Machine Learning
Discover how finance and data science combine to drive smarter decisions using statistical analysis, predictive modeling, and machine learning in real-world financial contexts.
Additional Information
CPE Credit/CPD Hours: 3.6
Field of Study: Information Technology
No prerequisite knowledge is required to be successful in this course.
No advance preparation is required.
Program Level: Basic
Delivery Method: QAS Self Study
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