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Introduction to Data Analysis
Course Description:
This course provides a comprehensive introduction to the fundamental principles and techniques of data analysis. As businesses and industries increasingly rely on data-driven decision-making, the ability to analyze and interpret data has become a crucial skill. Whether you are a novice or have some background in data analysis, this course is designed to equip you with the essential tools and concepts to make sense of data and derive meaningful insights.
- Understanding the importance of data analysis in various domains.
- Overview of the data analysis process.
- Types of data and their characteristics.
- Handling missing data and outliers.
- Data cleaning and pre-processing.
- Descriptive statistics: Frequencies, mean, median, mode, variance, and standard deviation.
- Probability distributions and their applications.
- Hypothesis testing and confidence intervals.
- Simple and multiple linear regression.
- Assessing the goodness of fit and making predictions.
- Handling large datasets.
- Introduction to cloud-based data analysis tools such as kobo toolbox.
- Privacy and security concerns.
- Responsible use of data and avoiding biases.
- Applying the knowledge and skills gained throughout the course to a comprehensive data analysis project.
- Presenting findings and insights.
Assessment: Participants will be assessed through individual and group activities, presentations, and a final project that demonstrates the application of Data Analysis Skills in a specific context.
Duration: The course is typically conducted over 3 Days