top of page

Pay After Placement​

Data Science & Machine Learning

Placement Assistance

1:1 Mentorship

Faculty from MAANG

Recruit Schools
Which course would you like to choose?

Limited Seats Left Only!

90%

Placement Rate

900+

Hiring Partners

184%

  Average Hike

150+

Career Transitions

Pay After Placement​

Data Science & Machine Learning

Placement Assistance

1:1 Mentorship

Faculty from MAANG

26

 seats

Left Only

Pay After Placement Courses

Application Deadline -

24th October

Recruit Schools Placement
Which course would you like to choose?
Pay After Placement Courses

“Recruit Schools' Data Science course changed my career and beat my expectations. The projects and expert help made a big difference!”

Kartik Kumar

Prorgram Graduate

Recruit Schools Placement

Download The Data Science & Machine Learning Brochure

Our School Alumni At Top Companies

Shefali.jpg

Shefali Khanna

Senior Software Engineer

Untitled design (27).png
Chirag.jpg

Chirag Narula

Senior Product Manager

3.png
Shivansh.jpg

Shivansh Chamoli

Business Analyst

4.png
pic.png

Pralav Prakash

Product Manager

3.png

What  We Offer

1:1 Live Expert Sessions

Classes by Industry Experts

Practical Learning & Case Study

Quick Doubt Support

Personalised Placement Support

1:1 Live Expert Sessions

Classes by Industry Experts

Practical Learning & Case Study

Quick Doubt Support

Personalised Placement Support

Hands on Experience Based Learning Approach

British Airways TitanicQuest

1.png

Survival Prediction

Logistic Regression
Survival Prediction

Coca-Cola SalesPulse

1.png

 Forecasting Sales with Regression

Regression Analysis
Sales Forecasting

Spotify ChurnGuard

2.png

Predicting Customer Attrition

Churn Prediction
Classification Models

Amazon ClusterX

3.png

 Customer Segmentation with K-Means

Clustering Techniques
Customer Segmentation

eBay RecoMagic

4.png

Build a Product Recommendation System

Recommender Systems
Collaborative Filtering

Tesla SentimentSense

5.png

 Text Classification for Sentiment Analysis

Text Classification
Sentiment Analysis

Robinhood StockScope

6.png

Predicting Stock Prices with Time Series

Time Series
Price Prediction

Bank of America DigitDetect

7.png

Handwritten Digit Recognition

Image Recognition
Digit Classification

MasterCard FraudWatch​

8.png

 Anomaly Detection for Fraud

Fraud Detection
Anomaly Detection

Zillow HouseHero

9.png

Real Estate Price Prediction

Regression Models
Price Estimation

How We Help You Succeed

Career Support

  • Get expert advice to navigate your data science career.

  • Develop essential skills through practical exercises in workshops.

  • Benefit from mentorship sessions with experienced data scientists.

Company Tie Ups

  • Access job openings with 100+ partner organizations.

  • Secure internships with companies like Google, Amazon, and Microsoft.s1

  • Connect with senior data scientists for ongoing career guidance.

Networking

  • Connect with a community of data science professionals.

  • Collaborate with 1,000+ alumni for job leads, advice, and insights.

  • Join weekly live sessions on trending data science topics.

Industry referrals

  • Identify and streamline hiring for top data science professionals.

  • Expand your network, earn bonuses, and help teams by referring talent.

  • Improve retention and performance with well-aligned candidates.

Program Details

Pay After Placement Courses

  • Recruit School Certification recognized by tech employers.

  • AWS Industry Credential upon passing the ‘AWS Certified Developer - Associate’ exam (exam fee separate).

  • Curriculum covers MERN, DevOps, and real-world project integrations.

  • Career Support focused on Full Stack Developer roles.

  • Portfolio Building with feedback on real-world projects.

  • Technical Mock Interviews with software engineering professionals.

  • Monthly Coding Challenges and Hackathons led by industry mentors

A Powerful Curriculum Designed To Secure Jobs At Top Tech Companies

  • Gain a strong foundation in core programming concepts and be able to apply them in Java or JavaScript based on your chosen specialization

    • Introduction: Write "Hello World" and learn syntax in Java/JavaScript.

    • Loops: Use for, while, do-while, and nested loops for iteration.

    • Conditionals: Apply if-else, switch-case, ternary, and logical operators.

    • Arrays: Create and manipulate arrays with .push(), .map(), .filter().

    • Objects: Define objects, access properties, add methods, and iterate with for...in.

    • Strings: Use string methods like .slice(), .split(), .replace(), and template literals.

    • Data Types: Work with primitive and complex types, type conversion, and typeof/instanceof.

    • Libraries: Use Java/JavaScript libraries (e.g., Lodash, Axios) and create custom modules.

  •  Enhance problem-solving, algorithm optimization, and data structure knowledge for full stack development.

    • Logical Building: Solve math, recursion, and implementation problems.

    • Recursion: Focus on base cases and optimize recursive solutions.

    • Time & Space Complexity: Analyze Big O for algorithm efficiency.

    • Collections: Work with Lists, Sets, Maps, and Queues.

    • LinkedLists & Trees: Learn linked lists and tree traversal.

  •  Apply key techniques to efficiently solve array and string challenges. Develop critical debugging techniques for success in timed interviews.

    • Matrix: Solve 2D grid problems.

    • Two Pointers & Sliding Window: Optimize array/substring problems.

    • Prefix Sum & Bit Manipulation: Efficient range sums and bitwise tricks.

    • Sorting & Binary Search: Optimize with sorting and binary search

    • Critical Debugging: Master debugging and trace errors.

    • Debugging Tools: Use IDE tools like breakpoints.

  •  Learn the implementation and applications of Linked Lists, and solve real-world problems using Queue and Stack structures.

    • Linked List: Practical use cases and implementation.

    • Stack: Apply stack in problem-solving.

    • Queue: Use queues for real-world scenarios.

    • Libraries: Explore data structure libraries.

  • Master graph algorithms like Prim's, Kruskal's, and Dijkstra's, along with greedy methods and backtracking.

    • Graph Algorithms: Implement BFS, DFS, partitioning, and shortest path.

    • Greedy & Backtracking: Apply greedy methods and advanced recursion/backtracking.

    • Topological Sort: Solve problems with topological sorting.

  •  Learn Dynamic Programming with Memoization and Tabulation, and explore advanced data structures like Trie and Segment Trees.

    • DP Memoization: Solve problems with top-down approach.

    • DP Tabulation: Use bottom-up approach for optimization.

    • Knapsack: Apply DP to solve the knapsack problem.

    • Spanning Tree: Implement algorithms related to spanning trees.

    • Trie: Work with Trie for efficient string storage and retrieval.

    • Segment Tree: Use Segment Tree for range queries and updates

  • Apply Hash and Heap to solve real-world problems, and use BFS/DFS for efficient Tree problem-solving.

    • Binary Tree: Work with binary tree structures.

    • Binary Search Tree: Solve problems using binary search trees.

    • Recursion: Apply recursion for problem-solving.

    • HTML/CSS: Design web pages with HTML and CSS.

    • Flexbox: Use Flexbox for responsive layouts.

    • Bootstrap: Build responsive websites with Bootstrap.

  • Analyze and visualize data using statistical methods and exploratory data analysis techniques.

    • Analyze and visualize data using statistical methods.

    • Conduct exploratory data analysis (EDA) techniques.

    • Use SQL for efficient data manipulation and GitHub for version control.

  •  A beginner-friendly course on Machine Learning, focusing on core concepts and techniques.

    • Learn foundational machine learning concepts and algorithms.

    • Master TensorFlow for building and deploying models.

    • Train and evaluate machine learning models.

  • A comprehensive introduction to Deep Learning, covering Neural Network principles and real-world applications.

    • Dive into advanced ML concepts and algorithms.

    • Build and train models using TensorFlow.

    • Understand and apply neural network principles.

  •  A focused course in Natural Language Processing, exploring how machines comprehend and interpret language.

    • Learn text preprocessing techniques: tokenization, stemming, lemmatization.

    • Conduct sentiment analysis to classify text data.

    • Explore how machines comprehend and interpret language.

  •  This topic covers MLOps fundamentals, including coding essentials and best Python practices, using MLFlow. It also explores MLOps applications in computer vision and NLP with practical use cases.

    • Implement efficient MLOps workflows with best practices.

    • Use MLFlow for managing the machine learning lifecycle.

    • Apply MLOps to computer vision and NLP projects.

TESTIMONY

What Our Mentor Says

Pay After Placement Courses

“I’m proud to wake up knowing my work is helping people around the world improve their careers and build great things. While being a full-time instructor is hard work, it lets you work when, where, and how you want.”

Kushagra Gautam

Mentor & Instructor

Kushagra Gautam

Success Stories

"I went from knowing nothing to building real projects. The doubt sessions were a lifesaver, and I landed my first job!"

Rahul Mehta

Stars.png
"Recruit Schools doesn’t just teach theory—they actually train you for real-world challenges. The placement support helped me get interviews too!"

Anjali Nair

Stars.png
"Super practical and well-structured. My portfolio is now full of projects, and I finally feel confident in my skills!"

Vikram Iyer 

Stars.png
 "This program made complex concepts so much easier to understand. The placement support was solid—I got my first role in no time!"

Sneha Sharma

Stars.png
"The doubt sessions helped me a lot, especially with hands-on skills. Plus, they guided me on improving my LinkedIn profile, which helped me get noticed!"

Amit Reddy

Stars.png
"The best part? Real-world projects that made me job-ready. Recruit Schools truly prepares you for the industry!"

Priya Kulkarni

Stars.png
 "I finally understand how things work in the real world. The hands-on projects gave me confidence, and I even landed my first freelance gig!"

Rohan Deshmukh

Stars.png
"The case studies and live projects made a huge difference. Recruit Schools also helped me build a solid portfolio, which made job hunting way easier!"

Puja Verma

Stars.png
 "This course actually teaches what businesses need. I applied the strategies in my own projects, and they worked like a charm!"

Karthik Rao

Stars.png
 "I used to struggle with this, but Recruit Schools changed everything. Now I know exactly how to apply these skills and make an impact!"

Neha Aggrwal

Stars.png
"The live role-plays were super helpful, and I got much more confident in my approach. I even got hired right after the program!"

Manish Gupta

Stars.png
 "They don’t just teach theory—they make you practice until you’re actually good. This program really helped me step up my game!"

 Siddharth Malhotra

Stars.png
"This course broke down everything in a way that actually made sense. The case studies and real-world examples helped me land my first role!"

Aishwarya Menon

Stars.png
"From strategy to execution, this program covered it all. The mock interviews and resume tips at Recruit Schools gave me a huge confidence boost!"

Arjun Kapoor

Stars.png
"I loved how practical this course was—lots of hands-on work, not just theory. Now, I feel ready to take on any challenge!"

Tanvi Joshi

Stars.png

Choose The Perfect Plan For You!

Pay After Placement +
Rs. 29,498/-

  • Start the course with a registration fee of INR 24,999 /- (most popular).
     

  • Pay 1.25 Lakhs after securing a job.
     

  • Guaranteed CTC.
     

  • Get Unlimited Referrals to top tech companies of your choice.
     

  • Access premium accounts on Naukri, Hirist, and Cut-short.
     

  • Benefit from comprehensive Profile Building and Handling.
     

  • Enjoy 2.5x faster hiring speed than the regular Pay Later course.
     

  • Placement Rate is 97%.
     

  • Placement Support duration will be 12 months post program.

Pay Before Placement +
Rs. 1 Lakh/-

  • Get Unlimited Referrals to top tech companies of your choice.
     

  • Access premium accounts on Naukri, Hirist, and Cut-short.
     

  • Benefit from comprehensive Profile Building and Handling.
     

  • Enjoy 2.5x faster hiring speed than the regular Pay Later course.
     

  • Placement Rate is 100%.
     

  • Guaranteed CTC.
     

  • Placement Support duration will be 12 months post program.

Program Cohort

Program Induction

Pre Work

Regular Classes

Date

Coming Soon

Coming Soon

Coming Soon

Time

Coming soon

Coming soon

Coming soon

Frequently Asked Question

  • At Recruit Schools, our courses are delivered through 100% Online Live sessions, designed to fit seamlessly into your schedule. All live videos are recorded and uploaded to your Learning Management System for easy access and review. Our live classes typically take place during late evenings, between 8:00 PM and 12:00 Midnight.

  • Our Bootcamps and Recruit Schools online programs are your ticket to a thrilling, rigorous learning adventure! Brace yourself for a full-throttle journey to success as we push you to the limits with quizzes, case studies, assignments, and project reports. Our continuous evaluation system ensures you're always on your A-game.

  • After landing your dream job, you'll only need to pay a total of 2.0 Lakhs. And guess what? You can even pay in easy EMIs! This applies to all the courses offered in our Tech School if you meet the guaranteed placement terms.

  • At Recruit Schools, we don’t just teach courses, we build careers! Our talented teachers will make you job-ready during the courses, while our dedicated placement cell actively forges partnerships across industries. You'll get multiple job opportunities during our placement season, and we’ll help you build a lucrative profile that recruiters can’t ignore. Stick to our curriculum religiously, and getting placed is practically a given!

  • At Recruit Schools, we guarantee a minimum CTC of 8 LPA for participants of the Full Stack Web Development Bootcamp who come from a tech background. For non-tech graduates, we guarantee a minimum CTC of 6 LPA. You can count on us to deliver on our promises.

bottom of page