Professional Training Courses

Data Stream Mining and Real-Time Analytics Training Course is designed to empower data professionals, developers, and business leaders with the knowledge to extract, process, and analyze continuous data streams with cutting-edge technologies.

Unsupervised Learning for Data Exploration Training Course is a cutting-edge, skills-focused program designed to equip learners with the techniques and tools required to identify hidden patterns, perform clustering, and derive actionable insights from data without labeled outcomes.

Feature Engineering and Selection for ML Models Training Course equips learners with the hands-on skills needed to transform raw data into meaningful predictors.

Reinforcement Learning for Experimental Design Training Course is tailored to empower professionals, researchers, and developers with practical tools and advanced algorithms necessary for developing intelligent experimental frameworks.

Transfer Learning and Fine-tuning Pre-trained Models Training Course provides a deep dive into the core principles, frameworks, and applications of transfer learning, from zero-shot learning to domain adaptation, and enables participants to gain hands-on experience with TensorFlow, PyTorch, Hugging Face Transformers, and more.

Automated Machine Learning (AutoML) for Researchers Training Course is designed to equip researchers with hands-on experience and practical knowledge of leading AutoML platforms such as Google AutoML, H2O.ai, Auto-Sklearn, TPOT, and Amazon SageMaker Autopilot.

Prescriptive Analytics: Optimization and Decision-Making Training Course empowers professionals with the optimization tools, algorithmic frameworks, and data science techniques to prescribe the best actions for business success.

Predictive Modeling and Forecasting in R/Python Training Course is designed to equip learners with advanced data analytics, machine learning algorithms, and time-series forecasting models using the two most powerful programming languages in data science ? R and Python.

Anomaly Detection in Research Datasets Training Course is designed to equip researchers, data scientists, and analysts with robust techniques to uncover anomalies using advanced analytics, statistical methods, and cutting-edge AI algorithms.

Time Series Forecasting with Machine Learning Training Course introduces learners to advanced machine learning techniques for predictive analytics using real-world time series data.

Network Analysis and Graph Theory in Social Science Research Training Course is designed to equip researchers, data analysts, policy makers, and academic professionals with cutting-edge methodologies to map, visualize, and analyze complex social networks using graph-theoretical concepts.

Geospatial Data Science with Python/R Training Course is designed to equip professionals, researchers, and data enthusiasts with cutting-edge skills in spatial data analysis, visualization, and modeling using powerful open-source programming toolsΓÇöPython and R.