Data Science

Data Science course equips you with end-to-end skills in Python programming, statistics, data analytics, machine learning, and artificial intelligence. Learn how to clean and analyze data, build predictive models, perform exploratory data analysis, and deploy data science solutions using real-world datasets. This industry-aligned program includes advanced topics such as NLP, time-series forecasting, Generative AI, and MLOps, preparing you for roles like Data Scientist, Machine Learning Engineer, and AI Analyst.

Data Science Syllabus

Industry-aligned curriculum covering Analytics, Machine Learning, AI & MLOps

Statistics & Data Analytics

  • Descriptive & Inferential Statistics
  • Probability & Distributions
  • Hypothesis Testing
  • Business Metrics & KPIs

Python & Data Processing

  • Python Programming Fundamentals
  • NumPy & Pandas
  • Data Cleaning & Feature Engineering
  • SQL & MySQL for Data Analysis

Data Visualization & BI

  • Exploratory Data Analysis (EDA)
  • Matplotlib & Seaborn
  • Power BI Dashboards
  • Data Storytelling

Machine Learning

  • Supervised & Unsupervised Learning
  • Regression, Classification, Clustering
  • Model Evaluation & Tuning
  • Scikit-learn Pipeline

Advanced Analytics & AI

  • Text Mining & NLP
  • Time Series & Forecasting
  • Generative AI & ChatGPT
  • Use-case Based AI Solutions

MLOps & Capstone Project

  • Model Deployment (Flask/FastAPI)
  • Version Control & ML Pipelines
  • Cloud Basics (Azure)
  • End-to-End Industry Capstone Project