Data Science Foundations: Fundamentals
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Description
This course provides an accessible, non-technical introduction to the field of data science, covering its vocabulary, skills, jobs, tools, and techniques. It offers insights into how data science can help improve decision-making, gain deeper insights, and enhance work efficiency. The course also discusses ethics and accountability in data science, making it a comprehensive resource for anyone interested in this rapidly growing field.
Learning Objectives
- Assessing skills for a data science career.
- Evaluating different data sources.
- Exploring data through graphs and statistics.
- Understanding use of R, Python, and SQL in data science.
- Assessing the role of algebra in data science.
- Understanding the role of applied statistics in data science.
- Understanding the role of machine learning in data science.
- Defining components of effective data visualization.