Data Science
Data Science with Python
Master the complete data science workflow — EDA, feature engineering, statistical modelling, and storytelling with data.
What you'll gain
1 Month Free Internship on course completion
Resume building and profile review by experts
Interview preparation with mock sessions
Job openings shared until you are placed
No prior experience needed — start from scratch
Real datasets from Kaggle and industry partners
Build an end-to-end analytics portfolio
SQL + Python + BI tools in one program
Course Syllabus
W1
Python Basics
- Introduction to Data Science
- Python Setup
- Variables & Data Types
- Conditions & Loops
W2
Python Programming
- Functions
- Lists & Dictionaries
- File Handling
- Exception Handling
W3
Advanced Python
- OOP Concepts
- Modules & Packages
- APIs & JSON
- Virtual Environment
W4
NumPy & Pandas
- NumPy Arrays
- Pandas DataFrames
- Data Cleaning
- Data Analysis
W5
Data Wrangling
- Merge & Join
- Pivot Tables
- Feature Engineering
- DateTime Handling
W6
Data Visualization
- Matplotlib
- Seaborn
- Charts & Graphs
- Dashboard Basics
W7
Statistics & SQL
- Probability
- Hypothesis Testing
- SQL Queries
- Joins & Aggregations
W8
Machine Learning
- ML Introduction
- Regression
- Classification
- Model Evaluation
W9
Advanced Machine Learning
- Clustering
- Feature Engineering
- Hyperparameter Tuning
- Mini Project
W10
Deep Learning & NLP
- Neural Networks
- CNN Basics
- Text Processing
- Sentiment Analysis
W11
Deployment & Tools
- Flask APIs
- Streamlit
- Git & GitHub
- Docker Basics
W12
Projects & Career Prep
- Capstone Project
- Resume Building
- Mock Interviews
- Job Support
WB
Download Course Brochure
- Detailed Syllabus
- Real-Time Projects
- Internship Support
- Placement Preparation