PSCI 200 Data Analysis I

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  • Spring 2025
    Sergio Montero
    Spring 2025 — MW 14:00 - 15:15
    Course Syllabus

    Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis, and lab sessions will guide students through the particulars of statistical software. Core topics include descriptive statistics, probability, hypothesis testing, and linear regression. RESTRICTION: Students who have taken ECON 230, PSCI 205, PSY/CSP 211, STAT 212, STAT 213, or STAT 214 may not take the course. Must have laptop on which you can run R and R Studio.

  • Fall 2024
    Curtis S. Signorino
    Fall 2024 — TR 12:30 - 13:45
    Course Syllabus

    Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis, and lab sessions will guide students through the particulars of statistical software. Core topics include descriptive statistics, probability, hypothesis testing, and linear regression. RESTRICTION: Students who have taken ECON 230, PSCI 205, PSY/CSP 211, STAT 212, STAT 213, or STAT 214 may not take the course. Must have laptop on which you can run R and R Studio.

  • Summer 2024
    Summer 2024 — MTWR 13:00 - 13:15
    Course Syllabus

    Session B1, July 1-26, 2024, M, T, W, R 1:00-3:15 pm online

    Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis, and lab sessions will guide students through the particulars of statistical software. Core topics include descriptive statistics, probability, hypothesis testing, and linear regression. No prior knowledge of statistics or data analysis is required. Without special permission of the instructor, students may not enroll in this course if they have earned credit and a letter grade for ECO 230, PSC 205, PSY/CSP 211, STT 211, STT 212, STT 213, STT 214, or any other course in statistics, or if they have received a score of 4 or 5 on the Advanced Placement exam in Statistics. NOTE: THIS COURSE IS ONLINE ONLY AND STUDENTS NEED TO BE ABLE TO RUN R ON THEIR COMPUTER.

  • Fall 2023
    Curtis S. Signorino
    Fall 2023 — TR 12:30 - 13:45
    Course Syllabus

    Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis, and lab sessions will guide students through the particulars of statistical software. Core topics include descriptive statistics, probability, hypothesis testing, and linear regression. RESTRICTION: Students who have taken ECON 230, PSCI 205, PSY/CSP 211, STAT 212, STAT 213, or STAT 214 may not take the course. Must have laptop on which you can run R and R Studio.

  • Spring 2023
    BK Song
    Spring 2023 — TR 14:00 - 15:15
    Course Syllabus

    Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis, and lab sessions will guide students through the particulars of statistical software. Core topics include descriptive statistics, probability, hypothesis testing, and linear regression. RESTRICTION: Students who have taken ECON 230, PSCI 205, PSY/CSP 211, STAT 212, STAT 213, or STAT 214 may not take the course. Must have laptop on which you can run R and R Studio.

  • Fall 2022
    Curtis S. Signorino
    Fall 2022 — TR 14:00 - 15:15
    Course Syllabus

    Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis, and lab sessions will guide students through the particulars of statistical software. Core topics include descriptive statistics, probability, hypothesis testing, and linear regression. RESTRICTION: Students who have taken ECON 230, PSCI 205, PSY/CSP 211, STAT 212, STAT 213, or STAT 214 may not take the course. Must have laptop on which you can run R and R Studio.

  • Fall 2021
    Curtis S. Signorino
    Fall 2021 — TR 11:05 - 12:20
    Course Syllabus

    Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis, and lab sessions will guide students through the particulars of statistical software. Core topics include descriptive statistics, probability, hypothesis testing, and linear regression. RESTRICTION: Students who have taken ECON 230, PSCI 205, PSY/CSP 211, STAT 212, STAT 213, or STAT 214 may not take the course. Must have laptop on which you can run R and R Studio.

  • Spring 2021
    Kevin A. Clarke
    Spring 2021 — MWF 14:00 - 14:50
    Course Syllabus

    Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis, and lab sessions will guide students through the particulars of statistical software. Core topics include descriptive statistics, probability, hypothesis testing, and linear regression. RESTRICTION: Students who have taken ECON 230, PSCI 205, PSY/CSP 211, STAT 212, STAT 213, or STAT 214 may not take the course. Must have laptop on which you can run R and R Studio.

  • Fall 2020
    Curtis S. Signorino
    Fall 2020 — TR 9:40 - 10:55
    Course Syllabus

    Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis, and lab sessions will guide students through the particulars of statistical software. Core topics include descriptive statistics, probability, hypothesis testing, and linear regression. RESTRICTION: Students who have taken ECON 230, PSCI 205, PSY/CSP 211, STAT 212, STAT 213, or STAT 214 may not take the course. Must have laptop on which you can run R and R Studio.

  • Spring 2020
    Kevin A. Clarke
    Spring 2020 — MWF 14:00 - 14:50

    Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis, and lab sessions will guide students through the particulars of statistical software. Core topics include descriptive statistics, probability, hypothesis testing, and linear regression. RESTRICTION: Students who have taken ECON 230, PSCI 205, PSY/CSP 211, STAT 212, STAT 213, or STAT 214 may not take the course. Must have laptop on which you can run R and R Studio.

  • Fall 2019
    Sergio Montero
    Fall 2019 — MW 14:00 - 15:15
    Course Syllabus

    Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis, and lab sessions will guide students through the particulars of statistical software. Core topics include descriptive statistics, probability, hypothesis testing, and linear regression. RESTRICTION: Students who have taken ECON 230, PSCI 205, PSY/CSP 211, STAT 212, STAT 213, or STAT 214 may not take the course. Must have laptop on which you can run R and R Studio.

  • Summer 2019
    Emiel Awad
    Summer 2019 — MTWR 13:00 - 16:00

    July 1-July 26
    Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis, and lab sessions will guide students through the particulars of statistical software. Core topics include descriptive statistics, probability, hypothesis testing, and linear regression. No prior knowledge of statistics or data analysis is required. Without special permission of the instructor, students may not enroll in this course if they have earned credit and a letter grade for ECO 230, PSC 205, PSY/CSP 211, STT 211, STT 212, STT 213, STT 214, or any other course in statistics, or if they have received a score of 4 or 5 on the Advanced Placement exam in Statistics.

  • Spring 2019
    Curtis S. Signorino
    Spring 2019 — MWF 14:00 - 14:50
    Course Syllabus

    Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis, and lab sessions will guide students through the particulars of statistical software. Core topics include descriptive statistics, probability, hypothesis testing, and linear regression. RESTRICTION: Students who have taken ECON 230, PSCI 205, PSY/CSP 211, STAT 212, STAT 213, or STAT 214 may not take the course. Must have laptop on which you can run R and R Studio.

  • Fall 2018
    Sergio Montero
    Fall 2018 — MW 14:00 - 15:15
    Course Syllabus

    Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis, and lab sessions will guide students through the particulars of statistical software. No prior knowledge of statistics or data analysis is required. Without special permission of the instructor, students may not enroll in this course if they have earned credit and a letter grade for ECO 230, PSC 205, PSY/CSP 211, STT 211, STT 212, STT 213, STT 214, or any other course in statistics, or if they have received a score of 4 or 5 on the Advanced Placement exam in Statistics.

  • Summer 2018
    Shichao Ma
    Summer 2018 — MTWR 13:00 - 16:00

    May 21 - June 15
    Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis, and lab sessions will guide students through the particulars of statistical software. No prior knowledge of statistics or data analysis is required. Without special permission of the instructor, students may not enroll in this course if they have earned credit and a letter grade for ECO 230, PSC 205, PSY/CSP 211, STT 211, STT 212, STT 213, STT 214, or any other course in statistics, or if they have received a score of 4 or 5 on the Advanced Placement exam in Statistics.

  • Spring 2018
    Kevin A. Clarke
    Spring 2018 — MWF 14:00 - 14:50
    Course Syllabus

    Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis, and weekly lab sessions will guide students through the particulars of statistical software. No prior knowledge of statistics or data analysis is required. Without special permission of the instructor, students may not enroll in this course if they have earned credit and a letter grade for ECO 230, PSC 205, PSY/CSP 211, STT 211, STT 212, STT 213, STT 214, or any other course in statistics, or if they have received a score of 4 or 5 on the Advanced Placement exam in Statistics.

  • Fall 2017
    Sergio Montero
    Fall 2017 — MW 11:50 - 13:05
    Course Syllabus

    Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis, and weekly lab sessions will guide students through the particulars of statistical software. No prior knowledge of statistics or data analysis is required. Without special permission of the instructor, students may not enroll in this course if they have earned credit and a letter grade for ECO 230, PSC 205, PSY/CSP 211, STT 211, STT 212, STT 213, STT 214, or any other course in statistics, or if they have received a score of 4 or 5 on the Advanced Placement exam in Statistics.

  • Spring 2017
    Kevin A. Clarke
    Spring 2017 — MWF 11:50 - 12:40


    Labs - F: 14:00-15:15 Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis and weekly lab sessions will guide students through the particulars of statistical software. No prior knowledge of statistics or data analysis is required.

  • Fall 2016
    Sergio Montero
    Fall 2016 — MW 11:50 - 12:40
    Course Syllabus

    Labs: F 1400-1515. Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis, and weekly lab sessions will guide students through the particulars of statistical software. No prior knowledge of statistics or data analysis is required.

  • Fall 2015
    Kevin A. Clarke
    Fall 2015 — MW 11:50 - 12:40
    Course Syllabus

    Labs - F: 14:00-15:15 Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis and weekly lab sessions will guide students through the particulars of statistical software. No prior knowledge of statistics or data analysis is required.

  • Spring 2015
    Kevin A. Clarke
    Spring 2015 — MWF 11:50 - 12:40
    Course Syllabus

    Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis and weekly lab sessions will guide students through the particulars of statistical software. No prior knowledge of statistics or data analysis is required.

  • Spring 2014
    Kevin A. Clarke
    Spring 2014 — MWF 13:00 - 13:50
    Course Syllabus

    Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis and weekly lab sessions will guide students through the particulars of statistical software. No prior knowledge of statistics or data analysis is required.

  • Spring 2014
    Curtis S. Signorino
    Spring 2014 — MWF 11:00 - 11:50
    Course Syllabus

    How do we evaluate empirically the claims politicians make? How do we determine whether theories of political behavior are supported by evidence? In this course, students are introduced to data analysis, statistical inference, and research design, with a focus on techniques that are appropriate for political science data. Topics covered will include descriptive statistics, confidence intervals, hypothesis tests, correlation, and regression analysis. Students will be expected to participate in weekly lab sessions.

  • Fall 2013
    Matthew Blackwell
    Fall 2013 — MWF 11:00 - 11:50
    Course Syllabus

    Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis and weekly lab sessions will guide students through the particulars of statistical software. No prior knowledge of statistics or data analysis is required.

  • Fall 2012
    Matthew Blackwell
    Fall 2012 — MWF 11:00 - 11:50
    Course Syllabus

    Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis and weekly lab sessions will guide students through the particulars of statistical software. No prior knowledge of statistics or data analysis is required.

  • Fall 2007
    Michael Peress
    Fall 2007

    Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis, and lab sessions will guide students through the particulars of statistical software. Core topics include descriptive statistics, probability, hypothesis testing, and linear regression. RESTRICTION: Students who have taken ECON 230, PSCI 205, PSY/CSP 211, STAT 212, STAT 213, or STAT 214 may not take the course. Must have laptop on which you can run R and R Studio.