Enroll Course: https://www.coursera.org/learn/ibm-ai-workflow-business-priorities-data-ingestion
In the rapidly evolving field of artificial intelligence, understanding the workflow from business priorities to data ingestion is crucial for any data scientist. The course ‘AI Workflow: Business Priorities and Data Ingestion’ is the first in a six-part specialization offered by IBM on Coursera, and it sets a solid foundation for anyone looking to enhance their skills in AI and data science.
### Course Overview
This course is designed specifically for practicing data scientists who already possess a foundational knowledge of the field. It emphasizes the importance of completing the courses in order, as each module builds upon the previous one, creating a cohesive learning experience.
### What You Will Learn
The course is divided into three main modules:
1. **IBM AI Enterprise Workflow Introduction**: This module introduces the overall specialization requirements and evaluates your understanding of key prerequisite knowledge. It also familiarizes you with various process models, with a focus on design thinking. The emphasis here is on applying a consistent process in practice, which is essential for effective data science.
2. **Data Collection**: Here, you will learn how to identify and articulate business opportunities. The module encourages a scientific approach to understanding business use cases, likening the process to that of an investigator. This perspective is invaluable as it fosters critical thinking and a deeper understanding of the business context behind data science projects.
3. **Data Ingestion**: This module tackles one of the most time-consuming aspects of data science—data cleaning and ingestion. You will learn about the processes involved in cleaning, parsing, and assembling data, along with a real-world case study that illustrates these concepts in action. Understanding the intricacies of data ingestion is vital, as it can account for up to 60% of a data scientist’s time, depending on the quality of the data.
### Why You Should Take This Course
This course is not just about learning technical skills; it’s about developing a mindset that integrates business priorities with data science practices. The focus on design thinking and scientific inquiry equips you with the tools to approach problems methodically and creatively. Moreover, the real-world case studies provide practical insights that can be directly applied to your work.
### Conclusion
If you are a practicing data scientist looking to deepen your understanding of AI workflows and enhance your data ingestion skills, I highly recommend enrolling in ‘AI Workflow: Business Priorities and Data Ingestion’ on Coursera. This course is a stepping stone to mastering the entire specialization and will undoubtedly add value to your professional toolkit.
### Tags
1. AI
2. Data Science
3. Coursera
4. IBM
5. Data Ingestion
6. Business Priorities
7. Design Thinking
8. Online Learning
9. Professional Development
10. Data Collection
### Topic
AI Workflow and Data Science
Enroll Course: https://www.coursera.org/learn/ibm-ai-workflow-business-priorities-data-ingestion