Data Science Practitioner

About Course

Data Science Practitioner is a rigorous, hands‑on qualification designed to turn learners into proficient data-focused professionals. Bridging both theoretical foundations and real-world problem-solving, this course empowers participants to manage the entire data lifecycle—from extraction and transformation to analysis, visualization, and reporting. Learners will build strategic insights through machine learning models and be able to deliver impactful presentations of data-backed findings. Aligned with industry‑endorsed frameworks, the curriculum suits both aspiring data analysts and individuals aiming to bolster existing analytical skills

What Students Will Learn
By the end of this program, participants will be able to:
Collect and transform structured and unstructured data using ETL best practices
Conduct exploratory data analysis with statistical and visualization techniques
Engineer features and prepare datasets for machine learning
Train, tune, and evaluate classification, regression, and clustering models
Build and interpret visual analytics reports and dashboards
Communicate results effectively for stakeholders using data storytelling
Execute a complete data science project—from problem definition through deployment and monitoring

Course Content

Foundations & Business Context

Data Collection & ETL Techniques

Exploratory Data Analysis & Visualization

Feature Engineering & Preprocessing

Machine Learning – Supervised Methods

Reporting, Communication & Ethics

Capstone Project & Deployment

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