About the Course
Data is the new oil, and this Data Science Foundation Course helps you become the refiner. Get introduced to the world of data science through an engaging, structured curriculum that combines programming, statistics, and business insights. Using tools like Python, R, and RubiStudio, you’ll build a strong understanding of data preparation, exploratory analysis, and basic machine learning models. Whether you’re a student, a fresher, or a professional planning a pivot into AI/ML, this course lays the groundwork for a rewarding career in data science. It’s more than just theory—you’ll work with actual datasets, solve industry challenges, and get hands-on exposure to applied AI.
Designed For
Aspiring data scientists and analysts
Students entering the AI/ML domain
Professionals transitioning into data-centric roles
Course Contents
DATA SCIENCE FOUNDATION
01 | What is Data
02 | Characteristics of Data
03 | Introduction to AI & Data Science
04 | Need of AI-ML in Business
05 | Application of Data Science in Business
06 | Outlier Detection and Treatment
DATA SCIENCE PROCESS
01 | Harnessing Data
02 | Data Acquisition
03 | Data Preparation
04 | Data Modelling
STATISTICS IN DATA SCIENCE
01 | Introduction to Statistics
PYTHON AND R PROGRAMMING
01 | Languages for Data Science
02 | Python Programming
03 | R Programming
PREDICTIVE ANALYTICS (ML)
01 | Introduction to Machine Learning
02 | Supervised Machine Learning
03 | Ensemble Learning
Duration
120 Minutes
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