Data Analysis Fundamentals with the Iris Dataset

Every great data analyst starts by mastering the fundamentals of data exploration. To build reliable models and extract meaningful insights, you must first understand how to inspect, clean, and summarize your data. This course uses the classic Iris dataset to teach you the core principles of descriptive statistics and exploratory data analysis. You will start by learning essential data terminology and foundational concepts before moving on to practical analysis. Through clear text-based explanations and structured exercises, you will develop the confidence to work with real-world datasets. What you will learn: Understand foundational data science terminology and dataset structures; Explore variables using key descriptive statistics such as mean, median, and standard deviation; Identify patterns and relationships within structured data tables; Clean and prepare raw data for exploratory analysis; Apply modern data analysis libraries to summarize dataset characteristics. You will progress from basic definitions to hands-on summaries, building a strong analytical foundation. This course is designed specifically for beginners with no prior data analysis experience. Start your data journey today and learn how to turn raw numbers into clear insights.