The Data Scholars program has kicked into high gear since its kick-off meeting on June 3rd, marking the beginning of an exciting journey for participating students. This innovative initiative, spearheaded by Dr. Kelsey Bickett, Data Scholars Program Manager, aims to cultivate the talents of future data leaders through a structured and enriching curriculum. The kick-off […]
Whether you are a seasoned developer, a data scientist venturing into web development, or someone entirely new to Python, this guide is designed to provide you with practical insights for architecting robust, scalable, and maintainable web applications. Writing code is often the easy part; the real challenge lies in organizing it. As your application grows […]
Set the scene. You’re on your phone, scrolling through the weather app. You’re looking at the ten-day forecast – a simple line graph with peaks and troughs showing temperatures rising and falling. You make your decision – to carry an umbrella, to wear a jacket, to plan a weekend hike, all based on how you […]
Data extraction is the initial phase in the ETL (extract, transform, load) process, where data is gathered from various sources. When building a data pipeline, Python’s rich ecosystem offers numerous tools and libraries to make this process efficient and versatile. Here’s a step-by-step guide to using Python for data extraction. Step 1: Identify the Data […]
Visual narratives are crucial in data storytelling and communication because they make complex information more easily understandable, engaging, and memorable. With vast amounts of data generated daily, extracting meaningful insights and communicating them effectively becomes essential. This is where data visualization comes in, allowing us to tell powerful data stories and share insights through engaging […]
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