In this comprehensive workshop, participants will embark on an enlightening journey into the world of data and its transformative influence across diverse industries. Attendees will delve into the dynamic intersection of data and decision-making, gaining invaluable insights into its practical applications.
Throughout the workshop, participants can utilize cutting-edge data visualization tools in hands-on exercises, witnessing firsthand the power of data visualization in conveying complex information clearly and compellingly.
One of the workshop’s key highlights is exploring how data permeates and revolutionizes various sectors, including education, healthcare, and business. Participants will better understand how data-driven approaches reshape these industries, leading to more informed decision-making processes and improved outcomes.
Moreover, the workshop will provide a comprehensive overview of the myriad career paths in data analytics and data science. From data analysts to data scientists, participants will discover exciting opportunities to leverage their skills and passion for data to shape the future of their careers.
Resources we will be using:
NYC Open Data: (https://data.cityofnewyork.us/browse) This portal provides access to a diverse range of datasets from various sectors within New York City. It offers a valuable resource for exploring real-world examples of data-driven decision-making across industries. Class participants can utilize this portal to access datasets relevant to their interests and explore practical applications of data analysis and visualization within an urban context.
Cognitive AI: (https://cognitiveclass.ai/learn/data-science): This offers a comprehensive training provides a valuable resource for class participants who are seeking to learn more about data-driven career paths and opportunities. Utilizing information on data science principles, methodologies, and tools helps prepare them to uncover insights, understand industry needs, and explore potential career paths in the dynamic field of data science.