Overview
Key facts
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 Introduction to Data Analytics for Accounting Professionals course offered by Coursera in partnership with Association of International Certified Professional Accountants, you will be in a better position to ask the right questions, add greater value, and improve the quality of services to your stakeholders.
Programme Structure
Courses include:
- 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
Key information
Duration
- Part-time
- 1 months
- 2 hrs/week
Start dates & application deadlines
Language
Delivered
Disciplines
Accounting Data Analytics View 177 other Short Courses in Data Analytics in United StatesAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner level
- Finance and accounting professionals with little to no experience with data analytics.
Tuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months.
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Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.