This advanced-level course is designed for professionals aiming to deepen their expertise in data analytics and transition into roles such as data analysts, data scientists, or analytics consultants. The curriculum emphasizes sophisticated analytical techniques, including predictive modeling, machine learning algorithms, time-series forecasting, and statistical inference.
Learners will master tools like Python (NumPy, Pandas, Scikit-learn), R, SQL (advanced queries, window functions), Tableau/Power BI, and Apache Spark for big data processing. The course also covers data engineering basics, ETL pipelines, cloud-based analytics (AWS/GCP/Azure), and real-time analytics
