Data Science Engineer

This comprehensive course is designed to equip learners with the theoretical knowledge and practical skills required to excel in data science, machine learning (ML), and deep learning. From foundational data analysis to deploying scalable solutions, the curriculum covers the entire data science lifecycle, enabling learners to transform raw data into actionable insights and production-ready systems. By combining industry-leading tools, hands-on projects, and modern workflows, this course prepares learners to drive datadriven decisions across diverse industries while upholding privacy, fairness, and security standards

By the end of this course, learners will:

• Clean, transform, and preprocess complex datasets for robust analysis.
• Build, evaluate, and optimize ML models (regression, classification, clustering) and deep learning architectures.
• Design scalable data pipelines using PySpark and deploy models via CI/CD and serverless AutoML systems.
• Apply NLP, time series forecasting, and ethical frameworks to ensure responsible AI implementation
• Automate workflows and integrate solutions with cloud platforms for real-world impact.
• Showcase expertise through a capstone project demonstrating end-to-end development of a data science solution.

This course is ideal for aspiring data scientists, analysts, and professionals, this course bridges theory and practice, empowering learners to solve business challenges and deliver innovative solutions in industries like finance, healthcare, tech, and beyond. Launch your career as a data leader with the tools and confidence to turn data into decisions.

ITX is committed to making tech education more accessible, which is why we accept a variety of payment options to help make tuition more economical.

• Pay tuition in full or through a payment plan per month.
• Stack Your Benefits: Combine this credit with select Fullstack Academy scholarships to further reduce the cost of your bootcamp.