Undergraduate Certificate in Poll Data Analysis

Name: Undergraduate Certificate in Poll Data Analysis
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The Undergraduate Certificate in Poll Data Analysis is a comprehensive course that equips learners with essential skills in poll analysis, enabling them to make informed, data-driven decisions in various industries. This certificate course is crucial in today's data-driven world, where understanding poll data can significantly impact political campaigns, business strategies, and public opinion research.

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AboutThisCourse

With a strong emphasis on statistical analysis, data visualization, and survey research methods, this program prepares learners for careers in political consulting, market research, social science research, and more. Learners will gain hands-on experience with industry-standard tools and techniques, enhancing their analytical and critical thinking abilities. By completing this certificate course, learners will demonstrate a mastery of essential skills that are highly sought after by employers, providing a significant advantage in career advancement and job placement.

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• Introduction to Polling and Survey Methods: Fundamentals of polling, surveys, and data collection; probability and non-probability sampling; questionnaire design; data quality and sampling error. • Data Analysis using Statistical Software: Overview of popular statistical software; data management, manipulation, and visualization; descriptive and inferential statistics; regression analysis. • Descriptive and Inferential Statistics: Measures of central tendency and dispersion; probability distributions; hypothesis testing; confidence intervals; chi-square tests. • Regression Analysis and Model Building: Simple and multiple linear regression; logistic regression; model diagnostics and assumptions; interaction terms; model selection and validation. • Sampling Methods and Error Calculation: Probability sampling techniques; margin of error; sample size determination and power analysis; non-response bias and weighting. • Weighting and Adjustment Techniques: Post-stratification; raking; propensity score weighting; calibration weighting; non-response weighting. • Data Visualization and Reporting: Data visualization principles; chart selection; best practices for presenting data; producing professional reports and presentations. • Ethical Considerations in Poll Data Analysis: Ethical considerations in data collection and analysis; transparency; informed consent; avoiding misrepresentation and misinformation.

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ProficiencyEnglish
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FastTrack GBP £140

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ThreeFourHoursPerWeek
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StandardMode GBP £90

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TwoThreeHoursPerWeek
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UNDERGRADUATE CERTIFICATE IN POLL DATA ANALYSIS

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London School of International Business (LSIB)

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05 May 2025

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