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Introduction to Data Science Lecture2: Python, Python Tutorial Prof. Eugene Chang1/14/2017SVU CS5960321Todays Agenda Recap Python coding environment Python, Python, Python Notebook Python language1
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Start by providing a brief background of data science and its importance in various fields.
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Define the key terms and concepts related to data science to set the foundation for the introduction.
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Discuss the potential applications and real-life examples of data science in different industries.
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Explain the basic steps involved in the data science process, such as data collection, cleaning, analysis, and interpretation.
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Highlight the skills and qualifications required to excel in data science, including programming, statistics, and data visualization.
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Provide additional resources, such as books, online courses, and websites, for further learning and exploration.
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Encourage the readers to actively engage in data science projects and challenges to enhance their practical skills.
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Conclude the introduction by emphasizing the importance of data science in our modern society and its potential to drive innovation and decision-making.
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