Establish a data-driven mindset
Develop the right mindset so that you can remain objective when solving complex problems, allowing you to make the best use of data and to provide insightful recommendations.
Understand data
Once you understand the language of data analytics, you’ll be able to effectively translate data analytics within your organization to business owners and associates clearly and concisely.
Turn data into insights
Understanding the core concepts of data analytics means you’ll know exactly how to conduct data analysis projects within your organization. By understanding these concepts, you’ll remain versatile throughout your career.
Learn from real-world scenarios
This course will cover three example scenarios: revenue analysis, financial planning and analysis, and business performance so that you’ll gain experience in applying data analytics in practice, not just theory.
Digital badges: A symbol of your expertise
Once you complete this certificate, you will receive a digital badge to share with your online professional network. The badge is also available as a downloadable PDF certificate suitable for printing and framing.
Want to learn more?
To learn how to identify, collect and troubleshoot data in preparation for analysis, review the Data Processing and Analysis Certificate, the next step in your data analytics learning journey.
Who Will Benefit
- AICPA and CIMA members who want to improve their data literacy and make better data-driven decisions
- Global accounting and finance professionals
- Controllers
- Finance directors
- CFOs
- CPAs
Key Topics
- How to develop a data-driven mindset
- How to approach a data analytics project
- Understanding data and the data ecosystem
Learning Outcomes
- Recall the characteristics of an analytical and data-driven mindset.
- Recognize how to establish objectives and desired outcomes of a data analytics project for a business or client.
- Recognize ways data is described and interpreted.
- Identify the types and categories of data.
- Recognize how data science and data analytics are connected.
- Recognize characteristics of the technology and data ecosystem for data analytics.