Advanced Data Science

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Data Analysis & Patterns

Advanced Data Science

Instructor: David Malan

Created: 20 Jan, 2025

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Courses Descriptions

Advanced Data Science

Level: Advanced
Duration: 6 Months (24 Weeks | ~360–420 Hours)
Format: Instructor-led / Live / Online
Prerequisites:

Python fundamentals
Basic statistics & SQL
Familiarity with data analysis libraries (Pandas, NumPy)

Target Audience:
Aspiring Data Scientists, ML Engineers, Analysts transitioning to AI, Software Engineers

Course Overview

This intensive 6-month Advanced Data Science program is designed to take learners from strong foundations to industry-ready data science professionals. The course focuses on real-world problem solving, combining advanced statistics, machine learning, deep learning, big data technologies, and MLOps.

Learners will build end-to-end data science pipelines—from data ingestion and analysis to model deployment and business storytelling—using modern tools such as Python, SQL, TensorFlow/PyTorch, Spark, and cloud platforms. Through hands-on projects and a final capstone, students graduate with a portfolio of production-grade projects and the skills required for data scientist and machine learning engineer roles

Program Outcomes

By the end of 6 months, learners will be able to:

Build end-to-end data science pipelines
Apply advanced statistical and ML techniques
Work with large, real-world datasets
Deploy machine learning models to production
Communicate insights to stakeholders
Pass data science technical interviews

Overview