Our Advanced Data Science Course is designed for learners with foundational knowledge seeking to master complex data-driven techniques and tools. The course dives deep into machine learning, deep learning, natural language processing (NLP), big data analytics, and AI model deployment. Students will explore real-world case studies across industries, working with tools like Python, TensorFlow, Spark, SQL, and Power BI. Core modules include feature engineering, model tuning, time series forecasting, recommendation systems, and MLOps. Emphasis is placed on hands-on projects, enabling students to build scalable, production-ready models. The course also covers data ethics, interpretability, and automated machine learning (AutoML). Weekly assessments, group work, and live sessions support in-depth learning and collaboration. By course end, students will possess the expertise to tackle high-level data problems and pursue roles such as Data Scientist, Machine Learning Engineer, or AI Analyst. This course is ideal for professionals aiming to upskill for a competitive edge.
Data Analysis & Exploration
Programming Skills
Statistics & Probability
Machine Learning
Data Wrangling & Feature Engineering
Model Deployment & MLOps
Data Visualization & Reporting
Real-World Applications
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17 Students
Author Level 5
6 Courses
Experienced marketing specialist with 5+ years in digital advertising, adept at data analysis and campaign optimization. Proven track record of driving brand visibility and increasing ROI for clients across various industries. Proven track record of driving brand visibility and increasing ROI for clients across various industries. Passionate software developer specializing in web application development and cybersecurity. Successfully led the development of a scalable platform, improving user experience and enhancing system security. A strong believer in open-source contributions.
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