Hands-on Data Science
Statistical Analysis: The Public Sector Toolbox
Adrian Dunkley
Adrian Dunkley is the founder and CEO of StarApple AI, Jamaica's first AI and Data Science company, he has a background in fintech, tourism, and sports science. He's held leadership roles in multinational corporations and is the President of the Jamaica Technology and Digital Alliance. Adrian aims to establish a Caribbean Space Agency and is a Data Scientist and A.I Engineer with 15+ years of experience. He holds a double major in Mathematics and Physics and a Masters in Enterprise Risk Management.
3 Hours
Duration-
500Per Person
Individual -
200Per Person
Groups of 5+ participants
Course Description:
Immerse yourself in this 4-day comprehensive course on statistical analysis tailored for the public sector. Learn the key statistical concepts and techniques used in government data analysis, including descriptive statistics, hypothesis testing, regression analysis, and more. Our seasoned statisticians will guide you through practical exercises using real-world government data, ensuring you are equipped to make data-informed decisions.
Syllabus:
- Introduction to Statistical Analysis in the Public Sector: Overview of key statistical concepts and their relevance to government data analysis.
- Descriptive Statistics and Data Visualization: Learning how to summarize and visualize government data for easy interpretation.
- Hypothesis Testing and Inferential Statistics: Techniques for making inferences about populations from sample data, including various hypothesis testing methods.
- Regression Analysis for Public Data: Understanding how to use regression analysis to identify relationships between variables in government datasets.
- Advanced Statistical Techniques: Exploration of more complex statistical methods used in public sector data analysis, including time series analysis and multivariate analysis.
Prerequisites:
- There are no prerequisites for this course.
Grading Policy:
- 2 exams
- 1 capstone project
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