What You Will Learn in This Course:
- Understand the Foundations of Data Analysis: Learn about the different types of data, how to collect and prepare data for analysis, and the principles behind academic data analysis.
- Master Descriptive and Inferential Statistics: Understand how to describe and summarize data (descriptive statistics) and how to draw conclusions from your data (inferential statistics).
- Data Cleaning and Preparation: Learn how to clean, structure, and organize datasets to ensure accuracy and reliability in your analysis.
- Introduction to Key Software Tools: Gain hands-on experience with leading data analysis tools like SPSS, R, Stata, and Excel, learning how to perform essential tasks like regression analysis and hypothesis testing.
- Data Visualization Techniques: Explore methods for visualizing data, creating meaningful graphs and charts to support your research findings.
- Apply Statistical Methods to Academic Research: Learn how to apply statistical methods to academic research questions and draw conclusions based on data-driven evidence.
- Develop a Complete Research Analysis Project: Use the skills gained throughout the course to analyze a dataset and present your findings in a structured, research-driven format.
What you'll learn
Understand the Foundations of Data Analysis: Learn about the different types of data, how to collect and prepare data for analysis, and the principles behind academic data analysis.
Master Descriptive and Inferential Statistics: Understand how to describe and summarize data (descriptive statistics) and how to draw conclusions from your data (inferential statistics).
Data Cleaning and Preparation: Learn how to clean, structure, and organize datasets to ensure accuracy and reliability in your analysis.
Introduction to Key Software Tools: Gain hands-on experience with leading data analysis tools like SPSS, R, Stata, and Excel, learning how to perform essential tasks like regression analysis and hypothesis testing.
Data Visualization Techniques: Explore methods for visualizing data, creating meaningful graphs and charts to support your research findings.
Apply Statistical Methods to Academic Research: Learn how to apply statistical methods to academic research questions and draw conclusions based on data-driven evidence.
Develop a Complete Research Analysis Project: Use the skills gained throughout the course to analyze a dataset and present your findings in a structured, research-driven format.
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