Analyse
Clean and explore data.
Query data with SQL, clean it with pandas and present what you find in charts and dashboards.
Job-Guaranteed Courses · Data · 350 hours
Data Science & Machine Learning. From Python to deep learning.
Rooman's Data Science & Machine Learning course is a 350-hour job-guaranteed programme, taught online with hands-on labs. It covers Python, statistics, SQL and analytics, then machine learning and deep learning. The job guarantee is written: a counsellor explains its terms before you start.
350 hours8 modulesWritten job guaranteeCapstone project
What you'll be able to do
Turn data into decisions and models.
Data scientists clean data, find what it says and build models that predict. The course teaches each step, in Python, from analysis to deep learning. Our job-guaranteed pathway blends expert-led learning with real employer engagement. Finish qualified and hired, or pay nothing, on the terms set out in your written agreement.
Model
Build machine learning models.
Train, evaluate and tune regression, classification and clustering models.
Deploy
Put models to work.
Build deep learning models and serve a model behind a simple API.
Skills covered
- Python programming
- Statistics and probability
- SQL
- pandas and NumPy
- Data visualisation and dashboards
- Machine learning with scikit-learn
- Deep learning with TensorFlow/Keras
- Model deployment basics
Who it's for
Built for your first data role.
The course is for career switchers and fresh graduates who want to work in data science or analytics. You do not need programming experience, but you should be comfortable with school-level mathematics.
Roles where these skills are used
- Data Analyst
- Data Scientist (associate)
- Machine Learning Engineer (associate)
- Business Intelligence Analyst
- Junior AI Engineer
Entry requirements.
- Career switchers and fresh graduates
- Comfort with school-level mathematics; no programming experience needed
- Agreement to the written terms of the job guarantee
Not sure which course fits? Take the 10-minute career assessment, or talk to a counsellor.
350 hours · 8 modules
A curriculum from first dataset to deployed model.
Eight modules: Python and statistics first, then data handling and analytics, then machine learning, deep learning and deployment, and a final module on getting hired.
01Python for data45 hrs
The Python you need for data work.
Topics covered
- Python syntax, data types and control flow
- Functions and modules
- Files and error handling
- Jupyter notebooks
You produce: Python scripts that load and process data.
02Statistics and probability35 hrs
The mathematics behind analysis and models.
Topics covered
- Descriptive statistics
- Probability and distributions
- Hypothesis testing
- Correlation and regression basics
You produce: a statistical analysis of a real dataset.
03SQL and data wrangling45 hrs
Getting data out of databases and into shape.
Topics covered
- SQL queries, joins and aggregations
- NumPy arrays
- pandas DataFrames
- Cleaning missing and duplicate data
You produce: a clean, analysis-ready dataset.
04Data visualisation and analytics35 hrs
Finding and presenting what data says.
Topics covered
- Exploratory data analysis
- Matplotlib and Seaborn
- Power BI dashboards
- Presenting findings to a business
You produce: an analytics dashboard.
05Machine learning70 hrs
Training and evaluating predictive models.
Topics covered
- Supervised learning: regression and classification
- Unsupervised learning: clustering and PCA
- Model evaluation and cross-validation
- Feature engineering and tuning
You produce: a tuned machine learning model with an evaluation report.
06Deep learning55 hrs
Neural networks for images, text and sequences.
Topics covered
- Neural networks and backpropagation
- TensorFlow and Keras
- CNNs for images
- RNNs and transformers for text
You produce: a trained neural network for an image or text task.
07Model deployment and MLOps basics40 hrs
Putting a model into use and keeping it working.
Topics covered
- Saving and serving models with Flask or FastAPI
- Experiment tracking with MLflow
- Git for data projects
You produce: a model served behind an API.
08Job readiness and placement25 hrs
Preparing for interviews and the placement process.
Topics covered
- Resume and LinkedIn profile
- Mock technical and HR interviews
- Aptitude and communication practice
- The placement process and your written terms
You produce: a resume and interview record ready for employers.
Tools covered
The tools you'll work with.
You work with real datasets in hands-on labs from the first module.
| Tool group | Tools | What you use them for |
|---|---|---|
| Language and notebooks | Python, Jupyter | Write and run analysis |
| Data | SQL, pandas, NumPy | Query, clean and shape data |
| Visualisation | Matplotlib, Seaborn, Power BI | Chart and present findings |
| Machine learning | scikit-learn, TensorFlow, Keras | Train and evaluate models |
| Deployment | Flask or FastAPI, MLflow, Git | Serve and track models |
Capstone
Solve a real problem. Then ship the model.
Your capstone brings the course together: you take a real dataset from raw data to analysis, build and evaluate a model, and deploy it behind an API.
Every module includes hands-on lab work with real datasets.
What you finish with.
- A statistical analysis of a real dataset
- An analytics dashboard
- A machine learning model with an evaluation report
- A deep learning model
- A resume and mock interview record
Your credential
Rooman Certificate.
The Rooman Certificate. You earn the Rooman Certificate when you complete the course.
The guarantee comes with written terms: a counsellor explains them before you sign, and you keep a copy. Pay after placement, with EMI options, on the same written terms.
What's included
Everything you need to finish.
- Expert-led sessions, online, with lab practice
- Projects in every module and a capstone
- Real employer engagement before you finish
- A written job guarantee, on written terms
- Pay-after-placement and EMI options, on written terms
- The Rooman Certificate when you complete the course
Before you enrol
Questions future data scientists ask.
Can't find your answer? Call 080 6945 1000 or WhatsApp us.
Who is this course for?
Career switchers and fresh graduates who want to work in data science or analytics. You do not need programming experience.
How does the job guarantee work?
The guarantee and its conditions are set out in a written agreement you sign before you start. A counsellor explains the terms to you first, so you know exactly what it covers.
How long is the course?
350 hours, across eight modules.
How is the course taught?
Online + lab: expert-led live sessions online, with hands-on lab work in every module.
How much mathematics do I need?
School-level mathematics is enough. The course teaches the statistics and probability you need.
Does it cover deep learning?
Yes. A full module covers neural networks, TensorFlow and Keras, and models for images and text.
Which roles does it prepare me for?
Entry roles such as data analyst, associate data scientist and business intelligence analyst.
Can I pay after placement, or in instalments?
Yes. You can pay after placement, and EMI options are available, both on written terms. A counsellor explains the options.
Which certificate will I receive?
The Rooman Certificate when you complete the course.
How do I find out fees and batch dates?
Talk to a Rooman counsellor on 080 6945 1000 or WhatsApp +91 97390 86029. They will share current fees, payment options and upcoming batch dates.
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Start with a conversation.
Tell us your degree or current role, and a counsellor will explain the job guarantee, fees and payment options.
- Call: 080 6945 1000
- WhatsApp: +91 97390 86029
- Email: hello@rooman.com
Course details reviewed on 25 September 2026.