Build practical, industry-ready Data Science skills through 60 hours of instructor-led training covering Python, SQL, data analysis, statistics, machine learning, deep learning, Generative AI, model deployment, and real-world projects.
The Data Science Complete Instructor-Led Training program is designed for professionals and aspiring data scientists who want to develop practical expertise in data-driven decision-making, machine learning, artificial intelligence, and advanced analytics.
This comprehensive 60-hour instructor-led program covers the complete Data Science lifecycle, from data collection and preparation to exploratory data analysis, machine learning, deep learning, Generative AI, and model deployment.
Learners will gain hands-on experience with Python, NumPy, Pandas, SQL, Scikit-learn, Matplotlib, Plotly, TensorFlow/Keras, Power BI, Git & GitHub, OpenAI APIs, and LangChain.
The program combines instructor-led sessions with hands-on labs, real-time industry projects, case studies, assignments, and an end-to-end capstone project. Learners will work on practical use cases including customer churn prediction, sales forecasting, fraud detection, sentiment analysis, and recommendation systems.
The training also covers modern Generative AI and LLM concepts, including prompt engineering, RAG, embeddings, vector databases, semantic search, LangChain, OpenAI APIs, responsible AI, and building an AI-powered analytics assistant.
Krisha
“A very practical Data Science course. The instructor explained Python, SQL, EDA, and Machine Learning concepts clearly with hands-on examples”
Rahul
“The real-world projects made the learning experience much better. Customer churn and predictive analytics projects helped me understand how Data Science is applied in business”
Udhaya
“The GenAI and LLM modules were especially useful. Learning RAG, prompt engineering, OpenAI APIs, and AI-powered analytics gave the course a modern industry focus”
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