Data Science (Self-Paced Learning)

The Data Science – Beginner course is a foundational program designed for students and beginners who want to start a career in Data Science and analytics. This course focuses on building strong Python programming fundamentals, which are essential for data analysis, data processing, and advanced data science workflows.

The curriculum begins with an introduction to Anaconda, helping learners understand how to set up a professional data science environment used widely in industry. Participants will learn data types in Python, gaining clarity on how different data structures store and process information.

Learners will explore all about strings, including string methods, to perform data cleaning, manipulation, and text processing tasks commonly used in real-world datasets. The course also covers all about lists, enabling learners to work with collections of data efficiently using Python.

Delivered in a self-paced online format, this course allows learners to study flexibly over 3 months, making it ideal for students, freshers, and working professionals. Upon successful completion, participants receive industry-recognized certifications, including participation, industrial training, and internship completion certificates, enhancing academic and career value.

This beginner data science course is ideal for aspiring data scientists, analysts, engineers, and anyone looking to build a strong Python foundation before moving into machine learning and advanced analytics.