Data Science with Generative AI

Course Overview

BACK END

  • Python Programming
  • Statistics & Probability
  • SQL & Databases
  • Excel for Data Analysis
  • NumPy (Numerical Python)
  • Pandas (Data Manipulation & Analysis)
  • Data Visualization
  • Exploratory Data Analysis (EDA)
  • Data Wrangling & Preprocessing

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  • Feature Engineering & Data Cleaning
  • Seaborn & Matplotlib
  • Machine Learning Basics
  • Supervised & Unsupervised Learning
  • Model Evaluation & Validation
  • Tableau & Power BI
  • Big Data Tools
  • Deep Learning Basics

FRONT END

  • HTML + CSS
  • BOOTSTRAP + TAILWIND
  • JAVASCRIPT

APTITUDE & SOFT SKILLS

  • QUANTITIVE APTITUDE
  • LOGICAL REASONING
  • PUBLIC SPEAKING
  • ENGLISH COMMUNICATION
  • GD PREPARATION
  • HR MOCK
PLACEMENT PREPARATION:

MOCK INTERVIEW, UNLIMITED PLACEMENT CALLS, LEETCODE PRACTICE GUIDANCE, INDUSTRIAL GUIDE, LIVE PROJECT, LAB FACILITY

COUNSELING VIDEO SESSION BY GIRI SIR

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