In this lesson, students will learn what data science is, what a data scientist does, and the different types of questions that can be asked about data. Students will learn that statistical questions include computations or finding a relationship or pattern.
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In this lesson, students will learn about the data cycle and apply the first two steps of asking questions and considering data. Students will start a mini-project that spans through the rest of the module by asking a statistical question about a field of interest and gathering and structuring the data. They will also learn about and consider both quantitative and qualitative data.
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In this lesson, students will learn the basics of Python programming in the context of data science. This includes how to define and use variables and lists, how to use comparison and logical operators, and the importance of knowing the different data types used in Python.
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In this lesson, students will learn about Python modules and libraries and how to implement and use them within the editor.
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In this lesson, students will learn how to create a use a Pandas Series. They will also learn and explore measures of central tendency including the mean, median, and mode.
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In this lesson, students will expand their statistical knowledge to include the spread of a dataset. They will learn about and apply measures of spread including standard deviation, variance, range, and interquartile range.
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In this lesson, students will learn how to create a data frame using the Pandas library. They will also learn and use functions to explore a data frame further including which data types are included, the shape of the data frame, the descriptive statistics of the data in each column, and more.
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In this lesson, students will learn how to filter a data frame by selecting and displaying only specific columns. They will also learn how to filter rows displayed by using conditionals. Lastly, students will learn how to change the index used in a data frame and set it to a column of their choice.
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In this lesson, students will define and use functions, along with values in a dataset, to calculate and create new columns of data.
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In this lesson, students will practice collecting, explaining, and presenting the important data and details of their mini-project.
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In this lesson, students review content with a 15 question end-of-module quiz.
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