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

Certification: Upon successful completion of the course, participants will receive a Higher Institute of Applied Learning Data Analysis Training Certificate.

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