Data Science

Are you fascinated by the power of data to uncover meaningful insights and enhance data-driven decision-making? Whether you're a seasoned professional or a curious beginner, this LibGuide is your gateway to the dynamic world of data science.

Data science is the study of data to extract meaningful insights. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data. (Amazon)

In this introductory course, we'll dive into the fundamental concepts and techniques of data analysis and visualization using two of the most popular programming languages in the field: Python and R. Through hands-on exercises and practical examples, you'll learn how to:

1. Install relevant software.
2. Importing and exporting datasets.
3. Perform exploratory data analysis to understand the underlying patterns and relationships.
4. Clean and preprocess data to ensure its quality and usability.
5. Load necessary libraries and create functions to analyze data.
6. Interpret insights generated from your results
7. Create visualizations to communicate your findings effectively.

To get the most out of this course, ensure you have the necessary tools installed on your computer. We'll provide step-by-step instructions on how to set up Python, R, and essential libraries for data science.