Course Breakdown · Data Science
Uncodemy Data Science Course Syllabus Explained
Quick summary — what the syllabus covers
The Uncodemy Data Science course covers 11 modules and 150+ hours, from Python and SQL to machine learning, deep learning, NLP, Power BI, Generative AI, and MLOps — finishing with 5 guided projects and a capstone . The total fee is ₹25,370 including GST, and EMI starts from ₹4,622/month .
In this guide you will learn:
- Foundation modules — Python, SQL, statistics, data cleaning.
- Core ML module — supervised and unsupervised learning.
- Advanced modules — deep learning, NLP, Power BI, Gen AI, MLOps.
- Projects — 5 guided + 1 capstone.
- Fees, duration, and format — what to expect.
SECTION 01Foundation modules (1-4)
The first four modules build your foundation — no coding background required. You start with Python fundamentals and Excel, then move to SQL, statistics, and data cleaning .
| Module | Topics | Hours |
|---|---|---|
| 1. Python for Data Science | Variables, loops, functions, Pandas, NumPy, Matplotlib, Seaborn | 20 |
| 2. SQL & Database Management | SELECT, JOINs, GROUP BY, subqueries, CTEs, window functions | 15 |
| 3. Statistics & Probability | Descriptive stats, probability, hypothesis testing, A/B testing | 15 |
| 4. Data Cleaning & EDA | Missing values, outliers, feature creation, EDA reporting | 12 |
SECTION 02Core ML module (5)
Machine Learning is the longest single module at 25 hours — and the core of your data science skill set .
| Topic | What you'll learn |
|---|---|
| Regression | Linear and logistic regression |
| Tree-based models | Decision trees, random forests, ensemble methods |
| Other algorithms | SVMs, K-Nearest Neighbours, K-Means clustering, PCA |
| Model evaluation | Accuracy, precision, recall, F1, ROC-AUC, cross-validation |
| Tuning | Hyperparameter tuning, pipelines |
SECTION 03Advanced modules (6-10)
The advanced modules take you into deep learning, NLP, visualization, Gen AI, and deployment .
| Module | Topics | Hours |
|---|---|---|
| 6. Deep Learning | Neural networks, CNNs, RNNs, LSTMs, transfer learning, TensorFlow/Keras | 15 |
| 7. NLP | Tokenisation, TF-IDF, embeddings, sentiment analysis, transformers, BERT | 10 |
| 8. Power BI & Tableau | Data modelling, DAX, dashboards, calculated fields | 15 |
| 9. Generative AI | Prompt engineering, AI-assisted coding, Copilot, RAG basics | 10 |
| 10. MLOps | MLflow, Flask, cloud deployment | 8 |
SECTION 04Projects & capstone
The course includes 5 guided projects and 1 capstone project — all portfolio-ready .
| Project | What You Build | Domain |
|---|---|---|
| Movie Recommendation System | Content-based + collaborative filtering engine | E-commerce |
| Credit Card Fraud Detection | Classification with imbalance handling | Banking |
| Employee Attrition Prediction | ML model with HR insights | HR |
| Agentic AI Research Assistant | LLM-powered autonomous research | Gen AI |
| AI Interview Agent | NLP-based interview evaluation | Gen AI |
| Capstone | Your own end-to-end project | Your choice |
SECTION 05Fees, duration & format
The program is designed to fit alongside work or studies .
| Attribute | Details |
|---|---|
| Duration | 8–9 months |
| Learning Hours | 150+ hours |
| Live Sessions | 90+ |
| Tools Covered | 15+ |
| Fee | ₹21,500 + 18% GST = ₹25,370 total |
| EMI | From ₹4,622/month over 6 months |
| Format | Classroom (Noida/Delhi), live online, hybrid |
SECTION 06Interview Q&A — Data Science syllabus
Q1Can I learn data science without a coding background?
Yes. No coding background is expected. The first month covers Python fundamentals and Excel from scratch; SQL is introduced once you're comfortable with basic Python .
Q2What tools are covered in the course?
15+ tools including Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow/Keras, Power BI, Tableau, Matplotlib, Seaborn, Jupyter, Google Colab, ChatGPT, Copilot, and MLflow .
Q3Is there a Gen AI module?
Yes. Module 9 is a dedicated 10-hour module on Generative AI, LLMs, and prompt engineering — covering AI-assisted coding, validating AI output, and responsible usage .
Q4How many projects will I complete?
5 guided projects across retail, banking, HR, e-commerce, and healthcare, plus 1 capstone project of your choice .
Q5What is the total fee?
The program fee is ₹21,500 plus 18% GST, making the total payable ₹25,370. This includes all sessions, study material, projects, certification, and career support — no hidden charges .
SECTION 07Test yourself — Data Science syllabus quiz
Five questions. No sign-up.
0 / 5Pick an answer to see why it is right or wrong.
SECTION 08Frequently asked questions
How long is the program?
The program runs for 8–9 months with 150+ hours of learning across 90+ live sessions .
What is the total fee including GST?
₹25,370 — ₹21,500 program fee plus 18% GST (₹3,870) .
Are the classes live or pre-recorded?
All 90+ sessions are live and instructor-led. Recordings are shared after each class for revision .
What projects will I build?
Movie Recommendation System, Credit Card Fraud Detection, Employee Attrition Prediction, Agentic AI Research Assistant, AI Interview Agent, and a capstone of your choice .
Is EMI available?
Yes. EMI starts from ₹4,622/month over 6 months. The exact amount, tenure, and eligibility depend on the payment plan you choose .
SECTION 09Related reads
Classroom & online · Delhi NCR
Ready to learn data science?
Our Data Science Training Course covers all 11 modules — from Python to Gen AI — with 5 guided projects, a capstone, and placement support.
₹25,370 total · EMI from ₹4,622/month- 11 modules, 150+ hours
- Python, SQL, ML, DL, Gen AI
- 5 guided projects + capstone
- Weekday & weekend batches