Introduction - Data Science Methodology

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 Welcome to the Introduction to Data Science Methodology course. This course marks the beginning of an exciting journey where you'll learn methodologies that will shape your understanding of data science and its application in solving real-world problems. Throughout this course, you'll delve into the structured approaches data scientists use to tackle business challenges.

Upon completion of this course, you'll be equipped to describe how data scientists apply a systematic approach to address business problems effectively. You'll also be prepared to share your own data science methodology stories, reflecting your newfound knowledge and expertise.

The course curriculum is designed to provide comprehensive learning through a variety of resources. You'll engage with instructional videos featuring real-life case studies, readings, interactive hands-on labs, practice assessments, downloadable glossaries for reference, and graded assessments at the end of each lesson to validate your knowledge.

Let's take a closer look at the course content. Each module consists of lessons focusing on different stages of foundational data science methodology:

  • Module 1:

    • Lesson 1: Business Understanding and Analytics Approach
    • Lesson 2: Data Requirements and Data Collection

  • Module 2:

    • Lesson 1: Data Understanding and Data Preparation
    • Lesson 2: Modeling and Evaluation

  • Module 3:

    • Deployment and Feedback

The case study embedded within the course presents a real-world scenario where data science methodology is applied. You'll explore how a healthcare facility with limited resources aims to optimize fund allocation to enhance patient care. By implementing a data-driven approach, the facility strives to provide better patient care by empowering physicians with timely, data-driven insights.

As you navigate through the course, utilize the icons provided to distinguish between theoretical concepts and practical applications. Should you encounter challenges or have questions, you'll find support and opportunities to connect with fellow learners in the course's discussion forums.

This course is suitable for individuals with basic knowledge of data science and proficiency in using Jupyter Notebooks. Welcome aboard, and we look forward to your successful completion of the course, earning a valuable certificate, and embarking on your journey toward a fulfilling career in data science.

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