Sree Technologies

Data Science

Transform data into insights and build a successful Data Science career. Learn Python, SQL, Machine Learning, AI, and Analytics through hands-on projects, real-world applications, and industry-focused training designed to make you job-ready.

50,000 75,000

Duration

150 Days

Mode

Offline / Online

Projects

2 Real-Time

Placement

Supported

Certification

Included

AI Enabled

Yes

COURSE OVERVIEW

Why Choose This Program?

Gain the knowledge and practical experience to become a job-ready Data Scientist. From analyzing real-world datasets to building AI and Machine Learning solutions, our project-based curriculum helps you develop the skills and portfolio that top recruiters value across multiple industries.

WHAT YOU'LL LEARN

Course Curriculum

Python & Data Foundations
  • Python basics for data work
  • NumPy fundamentals
  • Pandas for data manipulation
  • CSV, Excel, JSON handling
  • Jupyter Notebook
  • Virtual environments (venv, pip)

Data Analysis & Visualization
  • Exploratory Data Analysis (EDA)
  • Data cleaning strategies
  • Missing values & outliers
  • Visualization using Matplotlib & Seaborn
  • Business metrics understanding

Statistics & Math for Data Science
  • Mean, median, variance
  • Probability basics
  • Distributions
  • Hypothesis testing
  • Correlation vs causation
  • Linear algebra basics

Machine Learning Fundamentals
  • Supervised vs unsupervised learning
  • Regression
  • Classification
  • Train/test split
  • Overfitting & underfitting
  • Model evaluation metrics

Advanced ML & Feature Engineering
  • Feature engineering
  • Pipelines
  • Hyperparameter tuning
  • Random Forest/XGBoost
  • Cross-validation

Deep Learning & NLP
  • Neural networks basics
  • TensorFlow/PyTorch intro
  • NLP fundamentals
  • Text preprocessing
  • Embeddings basics

Generative AI for Data Scientists
  • LLM basics
  • Prompt engineering
  • Embeddings & vector databases
  • RAG systems
  • AI-assisted analytics

Production & Final Project
  • FastAPI
  • Model deployment
  • Docker basics
  • MLflow basics
  • Monitoring & logging
  • Final Projects
  • Customer churn prediction API
  • AI-powered analytics assistant
  • Fraud detection dashboard
  • Demand forecasting system

CAREER OUTCOMES

Roles You Can Target

  • Data Analyst
  • Data Scientist (Entry-Level)
  • Business Analyst
  • Machine Learning Associate
  • AI Project Roles

ELIGIBILITY

Who Should Join?

  • Students & Fresh Graduates
  • Working Professionals
  • Engineers & Non-IT Aspirants
  • Anyone interested in Data Science & AI