Introduction to Data Science and Analytics

Yes. This is a free online self-paced course designed for beginners.

No. The course focuses on concepts and does not require prior programming experience.

You will learn data science and analytics basics, including data types, analysis, visualization, and real-world applications.

Students, beginners, and professionals from any background can join.

Yes. Learners receive an e-Certification after completing the course.

Data science is the field of collecting, analyzing, and interpreting data to discover insights, support decision-making, and solve real-world problems.

Data analytics focuses on analyzing existing data to understand patterns and support decisions, while data science also includes broader methods such as modeling, prediction, and advanced data-driven problem-solving.

The Introduction to Data Science and Analytics course is designed as a 2–3 week online self-paced course.

Yes. This course builds a foundation in data, analysis, visualization, and basic statistics, which is useful before learning machine learning, AI, or advanced analytics.

The course explains data types, datasets, analysis, trends, visualization, and real-world applications in simple language without requiring prior coding or technical knowledge. The Introduction to Data Science and Analytics course provides a simple and structured foundation in data understanding, analysis, and visualization. It is an ideal starting point for learners who want to explore data-driven decision-making, analytics, and future AI-related fields.