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Intermediate

Data Science with Python

NumPy, Pandas, Matplotlib, Scikit-learn — data analysis, visualization, and machine learning models.

Duration

5 Months

Certificate

Included

Internship

1 month

Highlight

ML Models

Hands on Project

Yes

Fee

₹20,000

Original Price

₹28,000

Course Overview

Data Science is the highest-demand skill of the decade. This program takes you through the entire data science pipeline — data collection, cleaning, analysis, visualisation, and machine learning — using Python's most powerful libraries. You will build 4+ ML models and present them in a capstone project to potential employers.

What You Will Get

  • ✓4+ end-to-end ML projects: house price prediction, sentiment analysis, image classification
  • ✓EDA and visualisation with Matplotlib and Seaborn
  • ✓Machine learning with Scikit-learn (supervised and unsupervised)
  • ✓Introduction to deep learning with TensorFlow/Keras

Course Curriculum

Module 1 — Python for Data Science3 topics
  • ▸ NumPy arrays and vectorised operations
  • ▸ Pandas DataFrames: cleaning, merging, groupby
  • ▸ Data types, missing values, outlier handling
Module 2 — Data Visualisation4 topics
  • ▸ Matplotlib and Seaborn charts
  • ▸ Plotly for interactive charts
  • ▸ Exploratory Data Analysis (EDA) workflow
  • ▸ Storytelling with data
Module 3 — Machine Learning4 topics
  • ▸ Supervised learning: linear/logistic regression, decision trees, random forests, SVM
  • ▸ Unsupervised learning: K-Means, PCA
  • ▸ Model evaluation: accuracy, precision, recall, F1, ROC-AUC
  • ▸ Cross-validation and hyperparameter tuning
Module 4 — Advanced ML & Deployment4 topics
  • ▸ Ensemble methods: XGBoost, GradientBoosting
  • ▸ Introduction to neural networks with Keras
  • ▸ Model deployment with Flask + Heroku
  • ▸ Capstone project and presentation

Career Opportunities

Data ScientistData AnalystML EngineerBusiness Intelligence AnalystResearch Analyst