📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of Data Science and AI for Beginners, from foundations to a certified capstone project.
Outline
Overview of data science and its role in AI • Key techniques in data collection, cleaning, and analysis • Structured vs. unstructured data explained • Introduction to Python for data handling
Outline
Supervised vs. unsupervised learning • Key algorithms: Decision Trees, K-Nearest Neighbors, Linear Regression • Using Scikit-learn to build machine learning models • Evaluating model performance: metrics and error measurement
Outline
Using Pandas for data manipulation • NumPy for numerical computing and arrays • Data visualization with Matplotlib: charts, graphs, and plots • Hands-on project: Create a visual data report for business insights
Earn government-registered certification in Data Science and AI for Beginners
e-Certificate and e-Marksheet issued on successful completion.
