IT / CRM • Siemens
AI Data Scientist
Duration
4 Months
Fees*
₹20,000/-
QP code
SSC/Q8104/NSQF Level: 6
Avg. salary
₹0–0/mo
* Course fees are subject to revision.
Industry PartnerEligibility
- ✓Diploma (Computer Science or IT, Big Data Analytics, Programming, AI)
- ✓B.E/ B.Tech (Computer Science or IT, AI, Big Data Analytics, Programming)
- ✓MCA
Job Roles
A data scientist is a skilled professional responsible for collecting, cleaning, analyzing, and interpreting large volumes of data to derive actionable insights that support business decision-making. They employ statistical methods, machine learning algorithms, and various data processing tools to explore data, build predictive models, and validate results. Data scientists also develop scalable data pipelines, ensure data quality, and create visualizations and dashboards to communicate findings effectively. Their role spans across understanding business requirements, designing data strategies, implementing algorithms, deploying models into production environments, and continually monitoring and refining those models to adapt to changing data patterns. Overall, a data scientist bridges the gap between raw data and strategic insights, empowering organizations to make informed, data-driven decisions.
Lab equipment
- ✓Anaconda
- ✓Jupiter Notebook
- ✓PyCharm
- ✓VS Code
- ✓Git Github
- ✓Database (Mongo DB, MySQL)
- ✓Claude, ChatGPT, Gemini
- ✓Google Collab, Google AI Studio
What you'll cover
- 1
Module 1: Artificial Intelligence & Big Data Analytics
8 hrs - 2
Module 2: Basic Statistical Concepts
16 hrs - 3
Module 3: Advanced Statistical Concepts
24 hrs - 4
Module 4: Statistical Tools and Usage
16 hrs - 5
Module 5: Importing Data
80 hrs - 6
Module 6: Pre-processing Data
144 hrs - 7
Module 7: Exploring Data
24 hrs - 8
Module 8: Data Structures and Algorithms
8 hrs - 9
Module 9: Graph Algorithmes
8 hrs - 10
Module 10: String Algorithms
8 hrs - 11
Module 11: Neural Networks
8 hrs - 12
Module 12: Programming for Data Science
8 hrs - 13
Module 13: Applications of Pre-designed Algorithms
24 hrs - 14
Module 14: Inclusive and Environmentally Sustainable Workplaces
24 hrs - 15
Module 15: Introduction to Employability Skills
8 hrs
Full topic-by-topic syllabus for every module is in the curriculum PDF ↓
Earn a nationally recognized certificate
Once you complete the curriculum, you'll appear for an independent assessment conducted by the Sector Skill Council (SSC). Clear it, and you'll receive a QP-aligned certificate under India's National Skills Qualification Framework (NSQF), recognized by employers nationwide.
QP Code: SSC/Q8104/NSQF Level: 6
Note: courses not aligned to a specific QP are awarded a joint certificate by SDI-B and the industry partner instead.
Hands-On Training
Practical, lab-based learning on real industry equipment — not just theory.
QP-Aligned Curriculum
Built to National Skill Qualification Framework standards, recognized across India.
Placement Support
Dedicated placement assistance connecting you with our industry network.
Industry Mentors
Learn from experienced trainers and mentors from our partner companies.
Sthitapa Panda
Trainer
M.Tech in Computer Science · 8+ years of industry experience in AI & Data Science
Our alumni from this course are working across leading automation, engineering, and manufacturing companies in India — here's where a few of them landed.
Vonneum Inc
Zeta Ai Labs
CMS Technology
Future Tech Design Solutions
This course's graduates keep growing long after they leave SDI-B. Here's where a few of them are today.
The statistics and machine learning modules were taught with real datasets, not just theory. I was building working models by the second month.
Sabyasachi Kundoo
Data Analyst
From Python basics to neural networks, the course built everything up step by step. The employability skills sessions helped just as much as the technical ones during interviews.
Satyajit Aich
AI/ML Developer