Data science
DATA SCIENCE
A data science course is an interdisciplinary program designed to teach you how to use scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.
what is difference between data science and data analytics
The primary difference between Data Science and Data Analytics lies in their scope and focus.
Data Analytics is generally focused on the past and present to understand what happened and why it happened, providing actionable insights for immediate decision-making. It’s often more focused on solving existing, well-defined business problems.
Data Science is a much broader, interdisciplinary field that seeks to predict future outcomes (what will happen) and explore new questions, often using advanced techniques like machine learning and creating new processes for data modeling.
🎓 Learning Paths
It’s an approach that brings together the best of financial planning and the best of investment management.
| Path | Duration | Focus | Prerequisites | Ideal For |
| Online Courses/Certificates | 1 week to 6 months | Practical skills and specific tools (e.g., Python, SQL) | Often none, or basic math/programming | Career changers, upskilling, testing the waters |
| Bootcamps | 3 to 6 months (Intensive) | Job-ready, high-impact projects, career support | Foundational math/programming preferred | Rapid career transition |
| Bachelor’s Degree | 3 to 4 years | Comprehensive, strong theoretical and foundational knowledge | High school diploma with strong math/science | Students starting their career |
| Master’s Degree | 1 to 2 years | Advanced theory, specialization, research-level work | Bachelor’s in a quantitative field (CS, Math, Stat, Eng.) | Deep expertise, leadership/research roles |
