The Master in Data Science program at DLYTICA Academy provides a practical, industry-aligned learning experience combining four months of intensive training with internship exposure. Learners work with Python, machine learning, AI concepts, large language models (LLMs), and RAG-based projects to build job-ready skills. With lifetime access to sessions, personalized mentorship, mock interviews, and resume guidance, this course helps participants gain the confidence and expertise required for real-world data roles.
Month 2: Core ML (regression, classification, evaluation) on banking risk and default datasets.
Month 3: Advanced ML (tree-based models, tuning) for fraud detection and risk scoring.
Month 4: Capstone ML project + intro to deep learning, NLP, and LLM-based banking assistant concepts.
A hands-on, 4-month industry-focused data program combining structured learning with internship-style project work. Participants build practical skills across Data Analytics, Data Science (AI/ML), and Data Engineering through 3–5 real-world projects using banking, finance, and customer behavior datasets. The program covers Python, SQL, analytics foundations, dashboards, machine learning, ETL pipelines, and real-time data workflows. Designed for students, professionals, and corporate teams, the curriculum emphasizes applied learning, tool mastery, and problem-solving. Graduates complete the course with a strong portfolio, guided track specialization, career mentoring, and internship-style experience.
Back
