serviços digitais da FCT
Data and Business Decision-Making
Ref. DDE
Develop practical business analysis skills and stand out in the job market. Deepen your understanding of data‑driven decision‑making and take your professional journey to the next level.
- Duration: 4 hours
- Effort: 4 hours
- Pace: Self paced
- Languages: English and portuguese
- 1,302 already enrolled!
What you will learn
- Identify the six stages of the CRISP-DM methodology.
- Identify at least three relevant business metrics and KPIs to assess business performance and success.
- Describe two data strategies and the architecture required to support them.
- Refer to three examples of data storytelling using data visualisation techniques.
- Identify and apply different types of analysis (descriptive, predictive, and prescriptive) to provided datasets, understanding the principles of visualisation.
- Identify and discuss at least two supervised and two unsupervised analytical problems, exploring practical examples.
Description
The course provides an in‐depth understanding of the essential concepts and methodologies used in business analysis. Learners will explore the CRISP‐DM methodology, business problem definition, and key business metrics and KPIs. The course also covers data strategies, data architecture and data storytelling, including elements of data science and machine learning. In addition, learners will examine visualisation principles, types of analysis (descriptive, predictive, and prescriptive), and the different types of analytical problems, supported by practical examples.
Assessment and certification
At the end of each module, in order to assess your progress, you will complete a test with a compulsory learning check, which will account for 50% of the final grade.
At the end of the course, you will take a Final Assessment Test worth 50% of the final mark.
Course plan
Part 1 | Business Understanding
• Module 1: Data and Business Decision-Making
• Module 2: The CRISP-DM Methodology
• Module 3: Business Metrics and KPIs
Part 2 | Analysis
• Module 4: Data Strategies and Data Architecture
• Module 5: Data Analysis
• Module 6: Data Storytelling and Data Science
Part 3 | Decision Support and Visualisation Principles
• Module 7: Types of Analysis (Descriptive, Predictive, and Prescriptive)
• Module 8: Introduction to Using Excel for Data Analysis
• Module 1: Data and Business Decision-Making
• Module 2: The CRISP-DM Methodology
• Module 3: Business Metrics and KPIs
Part 2 | Analysis
• Module 4: Data Strategies and Data Architecture
• Module 5: Data Analysis
• Module 6: Data Storytelling and Data Science
Part 3 | Decision Support and Visualisation Principles
• Module 7: Types of Analysis (Descriptive, Predictive, and Prescriptive)
• Module 8: Introduction to Using Excel for Data Analysis
Organizations
License
License for the course content
Attribution-NonCommercial-NoDerivatives
You are free to:
- Share — copy and redistribute the material in any medium or format
Under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- NonCommercial — You may not use the material for commercial purposes.
- NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.