Data Science & Machine Learning

Learn to analyze data and build predictive models using machine learning techniques.

100% Placement Assistance | 1000+ Hiring Partners

Course Duration

350 Hrs

Offline Mode

₹ 87500

Start Date

February 12, 2026

Online Mode

₹ 52500

Offline Mode

₹ 87500

Course Duration

350 Hrs

Start Date

February 12, 2026

Online Mode

₹ 52500

About Program

In today’s world led by technology and big data, businesses are increasingly turning to data science and machine learning to gain critical insights, make informed decisions, and maintain a competitive edge. Our curriculum offers hands-on experience with essential tools and libraries like Python, TensorFlow, and Support Vector Machine (SVM). These practical and holistic skills are highly valued in the job market, ensuring you are well-equipped for a successful career. By the end of Rooman’s rigorous training sessions, you will have the professional capability to analyze complex datasets proficiently. You’ll be ready to pursue roles such as Data Scientist, Machine Learning Engineer, and Business Analyst, positioning yourself for success in this rapidly growing field.

Key Features

Why choose us?

LIVE mentoring & Doubt clarification sessions
100+ Lab Assignments
25 Hrs aptitude and logical reasoning
Interview preparation & Placement assistance

Training Option

Timings: Weekends

Timings: Monday - Friday (9.00 AM - 6.00 PM)

Tools & Softwares

Salary Scale

Maximum
15 LPA
Average
11 LPA
Minimum
6.5 LPA

Job Role

Our Alumni Work at

Course Curriculum

  • Element of Reinforcement Learning
  • Models, Values and Policies
  • Markov Chains
  • Monte Carlo Methods
  • Temporal Difference
  • Robotics and Gym Environment
  • AutoEncoders
  • GANs
  • Attention Mechanism
  • Basic Language
  • Advance Concepts
  • Data Structures
  • Numpy
  • Data Manipulation with Pandas
  • Data Visualization
  • Artificial Neural Networks In Python
  • Activation Functions
  • Optimizers
  • Tensorflow / Keras
  • Pytorch / Lightning
  • Types of Deep Learning Algorithms
  • Computer Vision
  • Transfer Learning
  • CNN Based Architectures
  • Recurrent Neural Networks
  • Natural Language Processing
  • Unix based OS (Ubuntu)
  • Containerization
  • Django Web Framework
  • AWS
  • Github
  • Regularization
  • Logistic Regression
  • Support Vector Machine (SVM)
  • Time Series
  • Cross-Validation Techniques
  • Evaluation Metrics
  • Ensembling
  • Unsupervised Learning
  • Clustering
  • Dimensionality Reduction
  • Introduction to Machine Learning
  • EDA and Data Wrangling
  • Scaling and Preprocessing
  • Feature Selection and Extraction
  • Modelling and Pipelining
  • Regression Analysis
  • Polynomial Regression
  • Decision Tree
  • K Nearest Neighbors
  • Naïve Bayes
  • Statistics
  • Hypothesis Testing
  • Power BI
  • R Language

Certification

Testimonials

Frequently Asked Questions

The course is available in both online and offline modes.

Yes, the program includes 100% placement assistance.

Data Scientist, ML Engineer, Data Analyst, Business Analyst, Applied Scientist, Research Analyst, ML Ops, and Domain Specific Analyst.

Topics include Artificial Intelligence & Reinforcement Learning, Deep Learning, ML/AIOps and Big Data, Advance Machine Learning, Business Analytics and Intelligence, and Python and Libraries.

Basic knowledge of programming and statistics is recommended.

You will work on 5 capstone projects and 1 real-world project.

Yes, access to recorded sessions of live-online classes is available 24/7.

Yes, an industry-recognized course completion certificate is awarded.

Tools like TensorFlow, Keras, PyTorch, and platforms such as AWS, GitHub, and Django Web Framework are covered.

Need Help?