Data Science for Starters: A Comprehensive Introduction for Business Professionals 2024/25 Series

Course Description:

COURSE DESCRIPTION

Welcome to “Data Science for Starters,”! Tailored for business professionals stepping into the data realm, this 4-hour primer aims to lay down the foundational blocks of data science. Over two hours, we will explore the fundamental concepts and tools that are pivotal in the data science landscape. This course aims to provide a solid foundation in understanding the significance of data science, the diversity of career paths within the field, the reasons behind its high demand, the methodologies employed by professionals, and a hands-on approach to the CRISP-DM process. Gear up to unlock the potential of data science in your professional journey.

THE INTENDED AUDIENCE

• Business professionals and managers seeking to leverage data science in their daily tasks
• IT professionals looking to transition into data science roles
• Executives and Board of Directors who want to understand how data science can transform their business operations

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THE VALUE TO YOUR ORGANIZATION

• Informed Decision-Making: Equip your team with the knowledge to make data-driven decisions.
• Strategic Advantage: Gain insights into leveraging data science for competitive edge and innovation.
• Talent Development: Foster a culture of continuous learning and adaptability in the fast-evolving data landscape.
• Operational Efficiency: Understand methodologies that streamline data projects, enhancing productivity and outcomes.

“Data Science for Starters” is your first step towards integrating data science into your career, offering the knowledge and skills needed to navigate the complexities of data in the business environment.

Syllabus:

1. How to define data science and effectively assess its impact on business cases.
2. Why data science has been dubbed ‘the Career of the Decade’ and how to take advantage of its rapid growth.
3. Explore how diverse backgrounds can lead to a successful career in data science, highlighting the interdisciplinary nature of the field.
4. Key skills needed to transform data into profitable insights.
5. How to develop effective data science methodology to tackle complex problems.
6. Get hands-on with each stage of CRISP-DM, from business understanding to deployment, and understand how it guides the data mining process in corporate projects.

Prerequisites:

• Basic understanding of business and management principles.
• Familiarity with basic statistical concepts is beneficial but not required.
• An eagerness to learn about the impact of data science in the corporate world.

Grading Policy:

• 2 exams
• 1 capstone project