Data Science & Analytics
Course Description
This course provides a comprehensive introduction to Data Science and Analytics, covering fundamental concepts, real-world applications, and data-driven decision-making across industries. Learners explore different types of data, data collection methods, and database systems including SQL and NoSQL. The course emphasizes data management techniques such as preprocessing, cleaning, and transformation to ensure high-quality datasets.
Students gain practical skills in data visualization, learning how to represent insights effectively using charts and graphs. The course also introduces machine learning and predictive analytics, including supervised and unsupervised learning methods, model evaluation challenges, and time series forecasting.