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JOB-ORIENTED PROGRAM

Data Science Course Syllabus

Build strong foundations in Python, statistics, machine learning, model evaluation and deployment.

Google4.9★★★★★Industry projects • Free English • LinkedIn • Portfolio • Placement assistance
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6 Complete Modules
8+ Practical Projects
Live Instructor Training
100% Placement Assistance

Complete Module-wise Curriculum

Structured learning from foundation to practical implementation and career preparation.

01

Python & Data Handling

  • Python syntax and functions
  • NumPy arrays
  • pandas dataframes
  • Data cleaning and feature preparation
  • Visualization with Matplotlib and Seaborn
  • SQL integration
02

Statistics for Data Science

  • Probability fundamentals
  • Distributions and sampling
  • Confidence intervals
  • Hypothesis testing
  • Correlation and regression
  • ANOVA and statistical interpretation
03

Exploratory Data Analysis

  • Univariate and multivariate analysis
  • Missing value treatment
  • Outlier detection
  • Feature relationships
  • Business insight generation
  • EDA reporting
04

Machine Learning

  • ML workflow and train-test split
  • Linear and logistic regression
  • Decision trees and random forests
  • KNN, SVM and Naive Bayes
  • Clustering and PCA
  • Model selection and tuning
05

Advanced Data Science

  • Feature engineering
  • Ensemble methods
  • Time series fundamentals
  • NLP fundamentals
  • Recommendation systems overview
  • Responsible AI and bias
06

Deployment & Career

  • Flask/Streamlit fundamentals
  • Model packaging and APIs
  • Git and GitHub
  • Cloud deployment overview
  • Portfolio projects
  • Resume and mock interviews

Practical Projects

Apply every major concept through guided business and industry projects.

Project 1

Customer Churn Prediction

Project 2

House Price Prediction

Project 3

Customer Segmentation

Project 4

End-to-End ML Deployment

INDUSTRY PROJECT LAB

8+ Practical & Industry-Level Projects

Apply course concepts through guided projects, business scenarios and a portfolio-ready capstone.

Sales Forecasting

Predict future sales using time-series methods.

Healthcare Prediction

Analyse clinical indicators for predictive insights.

Market Basket Analysis

Discover product affinity and customer patterns.

ML Model Deployment

Deploy an end-to-end model with a user interface.

COMMON CAREER BENEFITS

More Than Technical Training

Every learner receives additional support to communicate confidently, build a professional presence and present practical work.

English Communication

Interview speaking, self-introduction, email writing and presentation confidence.

LinkedIn Optimization

Recruiter-friendly profile, project presentation and networking guidance.

GitHub / Portfolio

Professional project documentation and shareable proof of practical skills.

Interview Preparation

Resume building, technical practice, mock interviews and HR preparation.

PLACEMENT ASSISTANCE

Career Preparation Journey

Structured support from skill assessment through applications and relevant opportunities.

1

Assessment

Skills and career goal review

2

Resume

Role-focused resume building

3

Portfolio

Projects and profile presentation

4

Mock Interview

Technical and HR practice

5

Job Assistance

Applications and relevant openings

Career Preparation Included

Resume building, LinkedIn guidance, portfolio support, mock interviews, doubt-solving sessions and relevant job assistance.

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