Core Module

Core Module

  • Overview of Data Science & Analytics
  • Fundamentals of Python/R Programming
  • Structured Databases
  • Python/R for Data Science
  • Applications of Analytical Libraries like Pandas, NumPy, SciPy, NLTK, etc.
  • Exploratory Data Analysis
  • Statistical & Mathematical Foundations for Data Science
  • Introduction to Modeling, Algorithm Development and Machine Learning
  • Extensive Study of Statistical Concepts
  • Introduction to Predictive Modeling
  • Time Series Analysis & Forecasting
  • Data Visualization: BI Dashboarding & Reporting Tools (Power BI, Tableau, Qlik)
  • Case Studies & Industry Projects
Advanced Module

Advanced Module

  • Pattern Recognition, Algorithm Development and Machine Learning
  • Implementation of Advanced Modeling Techniques
  • Model Validation & Optimization Techniques
  • Advanced Applications in Machine Learning
  • Advanced Supervised & Unsupervised Learning
  • Advanced Natural Language Processing
  • Deep Learning
  • Computer Vision
  • Applied Artificial Intelligence
  • Case Studies & Industry Projects