Data Science
About Course
This course provides a comprehensive introduction to Data Science, covering data collection, analysis, and visualization techniques. Designed for students and professionals, it combines theoretical concepts with practical projects using modern tools and libraries. By the end, learners will be able to analyze data, build predictive models, and derive insights for real-world decision-making.
Course Content
Foundation:
Introduction to Data Science
Data Collection & Cleaning
Data Wrangling with Pandas
EDA & Visualization
Statistics (Mean, Variance, Correlation)
Probability & Distributions
Hypothesis Testing
Sampling Methods
Feature Engineering
Data Transformation
Intermediate:
Advanced:
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