This beginner-friendly course introduces the fundamentals of Data Science, covering data collection, cleaning, analysis, visualization, and basic machine learning concepts. Students will learn how to work with datasets, extract meaningful insights, and make data-driven decisions using popular tools and techniques. The course focuses on practical examples and real-world applications, making it ideal for beginners with little or no prior experience in data science.
Course Outcomes
Understand the core concepts and workflow of Data Science.
Identify different types of data and data sources.
Perform basic data cleaning and preprocessing techniques.
Analyze datasets to discover patterns and trends.
Create charts and visualizations to communicate insights effectively.
Understand the fundamentals of statistics used in data analysis.
Apply basic machine learning concepts and algorithms.
Use Python libraries commonly used in Data Science.
Interpret analytical results to support decision-making.
Build a simple end-to-end data science project using real-world datasets.