| The Data Science training in Banashankari by iPEC Solutions is a structured, hands‑on program designed to turn beginners and working professionals into job‑ready data science practitioners, with a strong focus on real‑world projects and industry‑relevant tools. It runs both offline at their Banashankari (Bengaluru‑3) center and online, making it convenient for learners around Bangalore.
What the course covers
The curriculum is divided into logically progressing modules that build from fundamentals to applied techniques:
Core Data Science basics: Introduction to data science, its evolution, big data vs data science, key terminologies, and how data science differs from AI, machine learning, and analytics.
AI & ML exposure: Introduction to AI, computer vision, NLP, reinforcement learning, GANs, and generative‑AI‑style models, giving you a broad view of where data science fits in the larger AI ecosystem.
Machine learning: Concepts of ML vs AI, ML workflow, popular algorithms, and the distinction between supervised (classification/regression) and unsupervised (clustering) learning.
Tools & stacks: Python with NumPy, SQL & databases (including MySQL Workbench), data visualization with Tableau, Power BI basics, data transformation techniques, and dashboard creation with filters, calculated fields, and basic DAX.
Teaching style and learning approach
The course emphasizes practical learning rather than just theory:
Hands‑on labs and projects: You perform EDA (exploratory data analysis) demos in Tableau, build dashboards, and work on data transformation and modeling tasks, so you practice the same workflows used in real roles.
Project‑oriented curriculum: The program includes real‑world case studies and assignments, helping you understand how data science is applied in business decisions and analytics workflows.
Career‑focused design: The course is positioned as “job‑oriented” and aims to equip you with industry‑ready skills, including exposure to roles like data engineer, data scientist, ML engineer, and MLOps engineer. |
