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Get job-ready with 100% classroom training and career support
Master tech & soft skills for complete career growth
Build ML & Gen AI apps using Python, SQL & BI tools
Deploy models using Flask, Streamlit & Gradio with Cloud integration
Program Duration
6 Months
Fee
INR 1,49,000
Merit Scholarships
Upto 50%
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Tool Access
GenAI Integration
Projects
Brand Case Studies
ML Deployment
Portfolio Creation
Interview Prep
Placement Support
upGrad's Data Science Program
In-built access to all tools (Cloud-based)
ChatGPT, Copilot, Gemini for coding & analytics
8–12 real industry projects
Airbnb, Zomato, Uber, Netflix
Live apps (Streamlit/FastAPI/Docker)
GitHub + Live Dashboards + ML Apps
Module-wise + MAANG-level mock rounds
3 Years access to job portal & support
Other Data Science Courses
Tools only available in institute lab
Not included
2–3 basic or dummy projects
Generic examples
Mostly not taught
Certificate-focused
Basic interview tips
Limited or none
Please find below the detailed steps to be followed as a part of the admission process.
Start Your Application
Follow the below application process to begin your enrollment process.
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Faculty Members
The Data Science course in Raipur generally runs for several months, based on the chosen batch and individual learning pace. The curriculum is designed to progress smoothly from core fundamentals to advanced concepts. Learners can choose between weekday and weekend batches. This flexibility makes the course suitable for both students and working professionals.
Graduates, final-year students, working professionals, business analysts, statisticians, and career switchers from domains like finance, marketing, or operations can enroll. The course is ideal for anyone looking to start, upskill, or transition into data-driven roles.
No prior programming or technical knowledge is required. The course starts with foundational concepts in mathematics, logical thinking, and basic coding, gradually progressing to Python, SQL, machine learning, and advanced AI topics, making it beginner friendly.
This Data Science program follows a blended learning model with offline mentoring and online content. It includes hands-on projects, assignments, and case studies to provide practical experience, ensuring learners gain job-ready skills in data analytics, AI, and machine learning.
The Raipur centre is located in Raipur, Odisha. It provides easy access to in-person mentoring, classroom sessions, and career guidance, while combining offline support with flexible online learning for maximum convenience.
The Pay After Placement option allows learners to start the course without paying upfront. You pay the program fee only after securing a job through upGrad’s placement support, reducing financial stress and allowing you to focus entirely on learning.
Learners get hands-on training in Python, SQL, Pandas, NumPy, Tableau, and Power BI. The course also covers machine learning algorithms, NLP tools, and AI techniques, ensuring familiarity with all industry-standard technologies required for data-driven roles.
The course includes real-world, industry-oriented projects such as SQL assignments, Python-based data analysis, visualization dashboards, machine learning models, and a final capstone project. These projects help learners develop practical problem-solving skills and build a strong portfolio.
Yes, learners receive complete career assistance, including resume building, LinkedIn profile evaluation, interview preparation, 1:1 mock interviews, job alerts, and placement guidance. Career support continues even after course completion to help learners achieve long-term growth.
Graduates can target roles such as Data Scientist, Machine Learning Engineer, Data Analyst, BI Analyst, and AI Engineer. Salaries in Raipur for these roles typically range from INR 5.5–9.3 LPA, depending on experience, skills, and the hiring company.
Top recruiters for this program include Flipkart, Genpact, Tech Mahindra, KPMG, and Uber. These companies hire roles across data analytics, machine learning, and AI domains. Learners benefit from exposure to diverse, high-growth opportunities in leading global organizations.
No strict prerequisites are required. The course begins with basic programming and database concepts, gradually advancing complex SQL queries, Python libraries, and data manipulation techniques, ensuring beginners can follow comfortably.
Structured learning paths, mentorship, and industry-aligned projects help fresh graduates and professionals transition into Data Science, AI, ML, or analytics roles. The course equips learners with practical skills and confidence to switch careers smoothly.
Yes, the program includes expert-led masterclasses and mentoring sessions where professionals share insights on emerging technologies, real-world applications, and industry trends. These sessions provide guidance beyond traditional learning.
Learners get continued access to online modules, assignments, and career resources even after course completion. This allows long-term skill refreshers and helps prepare for advanced projects or interviews in data science.
Absolutely. Professionals from finance, marketing, operations, or business analytics can join. The course equips non-IT learners with practical skills to transition into analytics, AI, and machine learning roles successfully.
It is recommended to dedicate 8–12 hours per week for offline sessions, online modules, and assignments. Learners can adjust based on their schedules, ensuring steady progress while balancing work or studies.
Yes, learners get access to a curated question bank, mock interviews, and group discussion sessions. Personalized 1:1 mock interviews with experts help refine skills, build confidence, and prepare for real-world recruitment scenarios.
Yes, the course emphasizes practical learning with live datasets for SQL, Python, visualization, and machine learning projects. This ensures learners gain hands-on experience simulating real industry scenarios.
The Raipur centre combines offline mentoring with flexible online learning, hands-on projects, Pay After Placement, and career support. This setup ensures learners gain job-ready skills and confidence for roles in analytics, AI, and data science.
The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.
The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not .
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