Data Science

Data Science

Course Overview:


  • This course provides a comprehensive and hands on introduction to Data Science, covering the entire data science pipeline from data collection and cleaning to visualization, analysis, machine learning, and model deployment. Learners will work with Python and industry standard tools like NumPy, Pandas, Matplotlib, Scikit Learn, and Jupyter Notebooks, and complete real world projects to gain job ready experience.

Who Should Attend:


  • Students from BCA, B.Sc., MCA, M.Sc., B.E./B.Tech (CS/IT/AI/DS/Math)
  • Working professionals and software developers transitioning to data science
  • Business analysts or researchers seeking data skills
  • Beginners interested in AI, Machine Learning, or Data Analytics
  • Professionals preparing for Data Science interviews or certifications

Key Topics Covered:


  • Introduction to Data Science
  • Python for Data Science
  • Data Analysis with Pandas & NumPy
  • Data Cleaning & Preprocessing
  • Data Visualization
  • Statistics & Probability Essentials
  • Introduction to Machine Learning
  • Capstone Project

Course Duration:


  • 9 to 10 Month’s (Flexible batch options: Weekday / Weekend)
  • Daily 3.0 Hrs. Practice time
  • Includes practical assignments and Projects

Deliverables:


  • Course Completion Certificate
  • Industry recognized Project Work
  • Resume and Interview Preparation
  • Placement Support for Eligible Candidates