The Data Science Training Program is designed for students, beginners, and professionals who want to learn how to analyze data and extract meaningful insights for real-world decision-making. This course is ideal for college students, fresh graduates, job seekers, and working professionals from technical and non-technical backgrounds who are interested in building a career in data science. No prior experience in programming or statistics is required, as the course begins with basic concepts and gradually advances to more practical applications.
In this class, students will learn core data science concepts such as data collection, data cleaning, data analysis, and data visualization. The course covers Python programming basics, essential libraries like NumPy, Pandas, and Matplotlib, as well as an introduction to statistics and probability. Students will also learn machine learning fundamentals, including supervised and unsupervised learning techniques, model evaluation, and real-world use cases. Practical hands-on sessions, assignments, and mini projects are included to help students apply their learning.
Students should bring a laptop or computer for practice and a notebook for understanding concepts. Curiosity, analytical thinking, and a willingness to learn are essential. By the end of the course, students will be able to analyze datasets, build basic machine learning models, and will be prepared for academic projects, interviews, and entry-level roles in data science and analytics.
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