Data Science Basics

Course Overview

This course introduces students to the foundational concepts of data science. It covers essential topics such as data collection, data analysis, and the basics of machine learning. Designed for beginners, this course is ideal for individuals who want to enter the field of data science but have little to no prior experience. By enrolling, students will gain a clear understanding of data science principles and their practical applications in real-world scenarios.

What Students Will Learn

• Introduction to data science concepts and terminology
• Data collection methods and data preprocessing techniques
• Basic statistical analysis and data visualization
• Fundamentals of machine learning algorithms
• Hands-on projects to reinforce learning outcomes
• Exam preparation strategies for entry-level data science assessments

Teaching Method & Learning Approach

This course will be delivered in a hybrid mode, combining online learning with occasional in-person sessions. The teaching style is concept-based and practice-oriented, ensuring that students not only understand the theory but also apply their knowledge practically. Interactive sessions will encourage students to engage with the material actively, promoting a deeper understanding of data science principles.

Why Learn From This Tutor

Srinivas Balam is dedicated to providing clear and structured guidance throughout the course. Students can expect a supportive learning environment where questions are encouraged, and personalized feedback is provided. With a focus on concept clarity, Srinivas ensures that all students feel confident in their understanding of the material.

Location Context

This course is available for students in City 3, Locality 375. For those living nearby, attending in-person sessions is convenient, making it easier to participate fully in both the hands-on activities and collaborative discussions.

Benefits & Learning Outcomes

By the end of this course, students will have a solid foundation in data science, enabling them to:

• Understand key concepts and terminology in data science
• Build confidence in handling data analysis tasks
• Improve their analytical skills for practical applications
• Prepare effectively for further studies or entry-level roles in data science