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Data Science & AI/ML Bootcamp

Master in-demand data science skills from industry experts. Join our live bootcamps and flexible online classes to kickstart or fast-track your tech career.

1:1 MENTORSHIP

PLACEMENT ASSITANCE

PLACEMENT ASSISTANCE

PLACEMENT RATE

HIRING PARTNERS

AVERAGE HIKE

84%

900+

184%

Pay After Placement 1
See what you’ll learn

200+ hours of live expert-led sessions

Master job-ready tools and technologies 

Capstone Project Based on Real-World Industry

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MAANG FACULTY

 24*7 DOUBT SUPPORT

Application Deadline: July 5, 2025

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47

LPA +

Highest CTC

PROOF YOUR INVESTMENT PAYS OFF

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167

%

Salary hike

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7.3

LPA

Average freshers salary

Download the Data Science & Machine Learning Brochure

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Advance your CS fundamentals and full-stack or backend skills with 10+ hands-on micro-skilling projects and 1 industry-grade capstone in a real developer environment.

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Intensive, interview-targeted System Design & DSA curriculum with real-world practice to crack top tech interviews confidently.

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Engage with real-world coding problems inspired by top tech companies like Instagram, Netflix, Vistara, Youtube, and more.

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Practical, Skill-First Developer Training

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Impress recruiters with a GitHub portfolio packed with real projects, along with internship and work-experience certificates.

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High-Growth Sector

Experience ultra-fast growth in career & salary owing to the sector’s high demand.

“I always wanted to explore how data and intelligence power today’s technology. Skillians guided me through Data Science and Machine Learning with clear mentorship and practical projects that turned my interest into real skills.”

Harshitha Behra

Most-In Demand

Data Science is the fastest-growing industry. It is growing at 25% to 30% per year.

Jobs available in Real world as of April 2026 

Frontend Developer

86,000+

ML / Data Scientist

26,000+

Data Analyst

16,000+

Full stack Developer

40,000+

Software Engineer

39,000+

Ai Engineer Developer

3,000+

Top Recruiters

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YOUR LEARNING ROADMAP

Job-ready Curriculum

Duration

9 Months

Mode

Online

Live Sessions

450+ hrs

Projects

7+

SKILLS COVERED

Data Analytics & Visualization

Statistical Modeling & Hypothesis Testing

Machine Learning

Big Data & Cloud Technologies

Generative AI & LLM Integration

SQL & NoSQL Databases

 Deep Learning

Feature Engineering

Predictive Analytics

Placement
Support

  • Language Fundamentals

    Duration : 4 Weeks

     

    Start with hello world & get familiar with the syntax & constructs of Java & Java Script based on the specialization you choose.

    Loops

    Conditions

    Arrays

    Objects

    Strings

    Data Types

    Libraries

    Language Fundamentals

    Duration : 4 Weeks

     

    Start with hello world & get familiar with the syntax & constructs of Java & Java Script based on the specialization you choose.

    Loops

    Conditions

    Arrays

    Objects

    Strings

    Data Types

    Libraries

  • Program Essentials

    Duration : 4 Weeks

     

    1. Develop logic building skills by solving simple math, recursion, implementation problems.

    2. Learn Time & Space complexity.

    3. Get introduced to data structures & traversals - Linkedlist & Trees.

    Logical Building

    Collections

    Space &  Time Complexity

    Program Essentials

    Duration : 4 Weeks

     

    1. Develop logic building skills by solving simple math, recursion, implementation problems.

    2. Learn Time & Space complexity.

    3. Get introduced to data structures and traversals - Linkedlist and trees. 

    Logical Building

    Collections

    Space & Time Complexity

    Objects

    Strings

    Data Types

    Libraries

  • Array and Strings (Beginner)

     

    1. Learn various patterns of problem solving in arrays & strings and apply them in a wide variety of problems

    2. Learn the art of debugging that is critical for your timed interviews

    Duration : 4 Weeks

    Matrix

    Two Poyinters

    Sliding Window

    Prefix Sum

    Bit Manipulation

    Sorting

    Binary Search

    Array and Strings (Beginner)

     

    1. Learn various patterns of problem solving in arrays & strings and apply them in a wide variety of problems

    2. Learn the art of debugging that is critical for your timed interviews

    Duration : 4 Weeks

    Matrix

    Two Pointers

    Sliding Window

    Prefix Sum

    Bit Manipulation

    Sorting

    Binary Search

  • Stacks, Queues and Linked List(Intermediate)

     

    1. Learn linked list implementation and applications

    2. Apply queue, stack to solve real world problems

    Duration : 4 Weeks

    Linked List

    Stack

    Queues

    Libraries

    Data Structures Apllications

    Stacks, Queues and Linked List(Intermediate)

     

    1. Learn linked list implementation and applications

    2. Apply queue, stack to solve real world problems

    Duration : 4 Weeks

    Linked List

    Stack

    Queues

    Libraries

    Data Structures Apllications

  • Graphs, Greedy & Back Tracking

     

    1. Deep dive into graph problem patterns and implement common algorithms like Prim's, Kruskal's and Dijkstra's

    2. Learn common problem solving approaches like greedy & backtracking

    Duration : 4 Weeks

    Greedy Method

    Advanced Recursion & Back Tracking

    Topological Sort

    Graphs BFS

    Graphs DFS

    Graphs Partitioning

    Shortest Path

    Graphs, Greedy & Back Tracking

     

    1. Deep dive into graph problem patterns and implement common algorithms like Prim's, Kruskal's and Dijkstra's

    2. Learn common problem solving approaches like greedy & backtracking

    Duration : 4 Weeks

    Greedy Method

    Advanced Recursion & Back Tracking

    Topological Sort

    Graphs BFS

    Graphs DFS

    Graphs Partitioning

    Shortest Path

    Topological Sort

    Shortest Path

  • Dynamic Programming and Advanced DS

    Duration : 4 Weeks

     

    1. Learn the art of DP and practice problems using Memorization and Tabulation

    2. Get introduced to advanced DS like Tree, Segment Trees and solve related problems

    DP Memorization

    DP Tabulation

    Knapsack

    Tree

    Spanning Tree

    Segment Tree

    Dynamic Programming and Advanced DS

    Duration : 4 Weeks

     

    1. Learn the art of DP and practice problems using Memorization and Tabulation

    2. Get introduced to advanced DS like Tree, Segment Trees and solve related problems

    DP Memorization

    DP Tabulation

    Knapsack

    Tree

    Spanning Tree

    Segment Tree

  • Hash, Heap, Trees (Intermediate)

    Duration : 4 Weeks

    1. Apply Hash, Heap to solve real world problems

    2. Learn BFS/DFS to solve multiple Tree problems effectively

    BFS

    Data Structure Applications

    DFS

    Recursion

    Hash

    Heap

    Binary Tree

    Binary Search Tree

    HTML

    CSS

    Flexbox

    Bootstrap

    Hash, Heap, Trees (Intermediate)

    Duration : 4 Weeks

    1. Apply Hash, Heap to solve real world problems

    2. Learn BFS/DFS to solve multiple Tree problems effectively

    BFS

    Data Structure Applications

    DFS

    Recursion

    Hash

    Heap

    Binary Tree

    Binary Search Tree

    HTML

    CSS

    Flexbox

    Bootstrap

  • Stats and EDA

    Duration : 3 Weeks

     

    A course focused on the application of statistics, data visualization, and SQL for effective data analysis and pattern recognition​.

    SQL

    GitHub

  • Machine Learning I

    Duration :  2 Weeks

    An introductory course to Machine Learning, covering foundational concepts and techniques,

    Machine Learning

    Tensor Flow

  • Machine Learning II

    Duration : 4 Weeks

     

    An advance course of Machine Learning, delving into complex techniques for data analysis and prediction.

    Machine Learning

    Tensor Flow

    Machine Learning

    Tensor Flow

  • Deep Learning

    Duration : 2 Weeks

     

    A detailed exploration of Deep Learning, introducing the principles of Neural Networks and their applications

    Machine Learning

    Tensor Flow

    SQL

    Machine Learning

    Tensor Flow

  • Natural Language Processing

    Duration : 2 Weeks

     

    A specialized course in Natural Language Processing, explore how machine can understand and interpret language.

    Machine Learning

    TensorFlow

    Neural Networks

    Artificial Intelligence

    Machine Learning

    Tensor Flow

  • MLOPs Elective

    Duration : 2 Weeks

     

    The course covers the basics of MLOps, various pre-requisites such as code learning, best python practices, and etc, and the principles of MLOps in MLFlow -

    a popular MLOps platform. Further , MLOps is covered in context of computer vision and NLP domains with use-cases and examples.

    Machine Learning

    Tensor Flow

    Machine Learning

    TensorFlow

    Neural Networks

    MLOPs

    Artificial Intelligence

    Machine Learning

    TensorFlow

    Neural Networks

    Artificial Intelligence

Pay After Placement 1

200+ hours of live expert-led sessions

 Master industry-relevant tools like Azure and Spark

Capstone projects inspired by real-world case studies

Program Essentials

Duration : 4 Weeks

 

1. Develop logic building skills by solving simple math, recursion, implementation problems.

2. Learn Time & Space complexity.

3. Get introduced to data structures and traversals - Linkedlist and trees. 

Logical Building

Collections

Space & Time Complexity

Objects

Strings

Data Types

Libraries

Real time project Based learning approach

CREATE A COMPELLING PORTFOLIO

Instagram Clone

Develop a social media platform like instagram where users can create profiles, post updates, and follow other users

 

Frontend: React.js

 

Database: MongoDB

 

Real-time Updates: Socket.io

 

Backend: Node.js with Express.js

3 433

Youtube Clone

Create a platform similar to Netflix and Amazon Prime where users can stream movies and TV shows

 

Frontend: React.js

 

Database: MongoDB

 

Real-time Updates: Socket.io

 

Video Streaming : AWS S3

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pnh 1

Fitness Application

Create a Fitness Tracker that  does workout logging, progress tracking, diet plans, and notifications

 

Frontend: React.js

 

Database: MongoDB

 

Real-time Updates: Socket.io

 

Video Streaming : AWS S3

 

 

 

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This is How your Portfolio looks after this Bootcaamp

Resume
Project Portfolio

Tools you will master