code.in
Data & AI Career Program

Data Analysis & Machine Learning

5.0★★★★★
Beginner friendly · Industry focused

Learn the data and ML skills you need online from
non-coding essentials to data science, AI, and ML.

Limited seats · Cohort based

18 Weeks

Duration

5+ Projects

Hands-on

15 Seats

Per Cohort

Course Outcomes

A carefully designed curriculum focused on real-world engineering outcomes, not theory fluff.

Training (30%)

The training part will cover 30% of the curriculum guided by instructors. You'll be trained on the DAML Stack to be the best in the industry.

World-class Content

From in-demand career track to building real-time projects, connect with content curated by leaders at the forefront of web revolution.

Development (70%)

Most of the time at the bootcamp you will be spending time playing with the code. Practical application is necessary whenever it comes to becoming a good programmer.

Portfolio Building

Team-based end-to-end product development and guided execution of your own ideas.

Curriculum Overview

A structured, industry-aligned roadmap designed to build real engineering skills — not just surface-level knowledge.

Phase 01

Foundations & Systems

  • Number systems & binary arithmetic
  • Linux, UNIX & shell scripting
  • Process management & cron jobs
  • Git & GitHub collaboration
  • Programming fundamentals
Phase 02

Programming & Databases

  • Python programming (core to advanced)
  • Data structures & algorithms
  • OOP & computational complexity
  • PostgreSQL & DBMS concepts
  • SQL queries & window functions
Phase 03

Data Science & Machine Learning

  • NumPy, Pandas & data visualization
  • Statistics & math for ML
  • Exploratory data analysis
  • Machine learning algorithms
  • NLP, LLMs & deep learning basics
Phase 04

Projects & Career Readiness

  • Flask REST API development
  • End-to-end ML projects
  • Hackathons & Kaggle challenges
  • Portfolio & storytelling
  • Interview & soft skills prep