This intermediate-level course equips learners with practical skills in advanced data wrangling, exploratory analysis, machine learning, clustering, time series, and basic NLP. Participants gain hands-on experience using industry-standard tools, cloud platforms, and deployment techniques, culminating in a capstone project that demonstrates end-to-end data science proficiency.
30 Hours (10 Sessions × 3 Hours)
Level: Intermediate / Bridge Course
Mode: Instructor-led (Lectures, Hands-on Labs, Case Studies, Project Work)
This course builds on foundational data skills and equips learners with intermediate-level techniques used in real-world data science projects. Participants will work with advanced data wrangling, exploratory data analysis, regression and classification models, clustering, time series, and basic NLP. The course also introduces cloud tools, model deployment, and Git-based workflows. Learners complete a capstone project applying EDA, ML, and deployment skills to demonstrate end-to-end data science competency.
Copyright © 2025 - PSTI - All rights reserved.