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Advanced Data Science Techniques (with AWS Integration)

Learn advanced machine learning techniques and cloud deployment in this comprehensive course designed for data professionals. Through hands-on projects, you'll learn to build, evaluate, and deploy sophisticated machine learning models using AWS services, while leveraging AI tools to enhance your workflow. This course is perfect for data analysts and scientists ready to advance their machine learning capabilities and gain practical experience with cloud computing. Starting with advanced ML concepts and progressing through AWS integration, you'll develop the technical expertise needed to implement enterprise-level data science solutions. Upon completion, you'll be able to: • Build and evaluate sophisticated machine learning models using advanced techniques • Deploy scalable solutions using AWS SageMaker and related services • Perform advanced feature engineering with AI assistance • Implement time series analysis and unsupervised learning methods • Create end-to-end machine learning pipelines in the cloud
Duration 7 Months
Institution Coursera
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into Coursera.

language

Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $208
Total Est. Investment $208

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the Advanced Data Science Techniques (with AWS Integration) program at Coursera are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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