Data Science Program: Python, ML, SQL & Deployment Course

Data Science Program

Kickstart your career in data science with this hands-on, industry-ready course. You'll learn everything from Python basics to machine learning and deployment, all while working on real projects using business datasets.

15K+ Students

6 Months

Certificate

ML & AI

Python + ML + Deploy

Data Science Program

This program gives you step-by-step training from beginner to advanced, practical coding practice with real datasets, projects that mirror real business problems, and a complete portfolio to showcase your skills.

Who Can Join?

This course is designed for:

Aspiring data scientists or analysts who want structured learning

Developers/software engineers moving into data roles

Beginners who want a clear path into data science

Professionals looking to sharpen Python, SQL, and machine learning skills

What You'll Learn

The curriculum is split into 8 modules, covering both technical depth and real-world use cases:

Python for Data Science

Programming basics, NumPy and Pandas

Data Visualization

Matplotlib, Seaborn, and Plotly charts

Statistics & Probability

Math behind data and decision-making

SQL for Data Science

Queries, joins, and Python integration

EDA & Feature Engineering

Clean data and prepare ML features

Machine Learning Basics

Regression, classification, clustering

Time Series Analysis

Study data over time and forecasting

Model Deployment

Streamlit apps and Git/GitHub

Learning Outcomes

By the end of this course, you'll be able to:

Write Python code for analyzing and cleaning data

Create graphs and dashboards to explain insights

Use statistics for real-world problem solving

Query databases with SQL

Prepare data and features for ML

Build and evaluate machine learning models

Deploy ML apps with Streamlit

Publish an end-to-end project on GitHub

Projects You'll Build

Practice your skills with real-world projects like:

Dataset Analysis

Cleaning and analyzing public datasets with Pandas

Sales Dashboard

Creating visual reports with data visualization tools

Business KPIs

Writing SQL queries to calculate business metrics

Price Prediction

Predicting housing prices or customer churn

Customer Clustering

Clustering retail stores by customer behavior

Sales Forecasting

Forecasting sales with time-series data

Model Deployment

Deploying a model with Streamlit and GitHub

COURSE BENEFITS

PLACEMENT ASSISTANCE

*MIN 5 COMPANY WALK-INS

GitHub portfolio and Job-ready resume to enhance career prospects.

Course Features

Resume & LinkedIn Building

1:1 Mock Interviews

100% Hands-on

Certification

1000+ students enrolled