Introduction to Data Analytics for Accounting Professionals
- Offered byCoursera
Introduction to Data Analytics for Accounting Professionals at Coursera Overview
Duration | 8 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Introduction to Data Analytics for Accounting Professionals at Coursera Highlights
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Beginner Level Finance and accounting professionals with little to no experience with data analytics.
- Approx. 8 hours to complete
- English Subtitles: English
Introduction to Data Analytics for Accounting Professionals at Coursera Course details
- This course covers the foundations of data analytics and how to conduct and apply this to projects in your organization. This includes the following:
- - What does it mean to have a data-driven mindset? Having the right mindset will allow you to understand the problem that needs to be solved and make or recommend appropriate data-driven decisions in the context of the organization's strategy and technologies.
- - What are the key considerations when identifying, establishing, and implementing a data analytics project? This course introduces and discusses important concepts and considerations, so you are ready to be effective no matter how your organization or industry changes. This includes everything from framing the problem and defining the scope, to understanding organizational requirements and gaps, to effectively working with key stakeholders.
- - What is the required technical knowledge you need so that you can understand data? Whether the data you're looking at is financial or non-financial data, structured or unstructured, you need to understand the language of data analytics so that you can communicate effectively with colleagues and add value when using data analytics in your organization.
- By completing this course, you will be in a better position to ask the right questions, add greater value, and improve the quality of services to your stakeholders.
Introduction to Data Analytics for Accounting Professionals at Coursera Curriculum
Week 1
Introduction to data analytics
Digital mindset
Analytical and data-driven mindset
Framing the problem
Common types of data analytics projects
Evaluating organizational capabilities
Requirements, deliverables, and additional factors
Discussion prompt instructions
Additional resources
Lesson 2 assessment
Lesson 3 assessment
Lesson 4 assessment
Lesson 5 assessment
Week 2
Understanding data and the 6 Vs
Data quality, reliability, and cleansing
Feature engineering
Qualitative and quantitative data
Structured and unstructured data - Part 1
Structured and unstructured data - Part 2
Lesson 1 assessment
Lesson 2 assessment
Lesson 3 assessment
Week 3
Data analytics and data science
Modeling and four types of data analytics projects
Tools for data management
Data life cycle and visualization
Data governance, security, and privacy
Course conclusion
Lesson 1 assessment
Lesson 2 assessment
Lesson 3 assessment
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