Beginners Course

Beginners Course

  • Overview of Data Science & Analytics
  • Fundamentals of Python 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 Modelling and Algorithm Techniques
  • Case Study & Industry Project
Intermediate Course

Intermediate Course

  • Extensive Study of Statistical Concepts
  • Introduction to Predictive Modelling
  • Pattern Recognition & Algorithm Development
  • Implementation of Modelling Techniques
  • Time Series Analysis & Forecasting
  • Data Visualization: BI Dashboarding & Reporting Tools (Power BI, Tableau, Qlik)
  • Model Validation & Optimization Techniques
  • Case Study & Industry Project
Advanced Course

Advanced Course

  • Machine Learning
  • Supervised & Unsupervised Learning
  • Natural Language Processing
  • Deep Learning
  • Computer Vision
  • Applied Artificial Intelligence
  • Case Study & Industry Project