Data Science Foundations: Fundamentals [Repost]

Data Science Foundations: Fundamentals

Data science is driving a world-wide revolution that touches everything from business automation to social interaction. It’s also one of the fastest growing, most rewarding careers, employing analysts and engineers around the globe. This course provides an accessible, nontechnical overview of the field, covering the vocabulary, skills, jobs, tools, and techniques of data science.
Learning objectives

• Assess the skills required for a career in data science.
• Evaluate different sources of data, including metrics and APIs.
• Explore data through graphs and statistics.
• Discover how data scientists use programming languages such as R, Python, and SQL.
• Assess the role of mathematics, such as algebra, in data science.
• Assess the role of applied statistics, such as confidence intervals, in data science.
• Define the components of effective data visualization.

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