Data Science Course In Bhubaneswar
Our Alumni Work At 1500+ Companies
Bhubaneswar's Thriving Tech Ecosystem
A snapshot of Bhubaneswar's tech ecosystem and how it shapes demand (and pay) for Data Scientists.
₹8.5K Cr+
491+
58,495+
2,703+
Data Scientist Salaries in Bhubaneswar
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- Personalised Career Roadmap
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A Step-by-Step Learning Journey
SQL
SQL
Tableau
Tableau
Beginner Python 1
Beginner Python 1
Beginner Python 2
Beginner Python 2
Advanced Python
Advanced Python
Data Analytics and Visualisation - Fundamentals
Data Analytics and Visualisation - Fundamentals
Data Analytics and Visualisation - Python Libraries
Data Analytics and Visualisation - Python Libraries
Product Analytics
Product Analytics
SQL
SQL
Tableau
Tableau
Beginner Python 1
Beginner Python 1
Beginner Python 2
Beginner Python 2
Real-World Projects Included
Sales Forecasting Engine
Use time-series forecasting to predict sales trends, helping businesses make data-driven planning decisions.
Insurance Premium Prediction
Build ML models to predict insurance premiums using exploratory analysis, statistical testing, and regression techniques.
Cybersecurity Threat Detection
Develop intelligent systems that detect evolving cyber threats through ML models and anomaly analysis.
AI Language Tutor
Create an interactive AI tutor using LLMs—build a Duolingo-like system that teaches languages through dynamic prompt-driven learning.
Master Industry-Standard Tools
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Industry Expert Mentors
Harshit Tyagi
Full-stack data scientist and AI engineer empowering global learners.
Mohit Uniyal
ML engineer specializing in anomaly detection, ranking, and GenAI.
Ajay Shenoy
AI/ML educator with deep research and industry experience.
Anant Mittal
Builder at the intersection of AI, education, and human learning.
Mudit Goel
Industrial-engineer turned analytics manager delivering supply-chain impact.
Prashant K Tiwari
ML engineer focusing on risk modeling and practical ML workflows.
Sundaravaradhan
Supply-chain analytics lead transforming operations with scalable data products.
Sameer Shah
Data engineer skilled in backend systems and analytics pipelines.
Shan Mehrotra
Data scientist with product analytics and experimentation expertise.
Amit Singh
Instructor with expertise in systems, analytics, and engineering basics.
Mohit Kukkarl
ML engineer specializing in forecasting, detection, and marketplace ML.
Suransh Chopra
Engineer experienced in financial systems and scalable data engineering.
Vishwath Parthasarathy
ML engineer experienced in ranking systems and large-scale data pipelines.
Suraaj Hasija
Data scientist experienced in analytics, experimentation, and ML workflows.
Thanish Batcha
ML practitioner skilled in modeling, statistical learning, and DL.
Srikanth Varmaa
AI engineer-educator building data and ML skills globally.
Success Stories from Bhubaneswar
In just 2.5 months, Scaler helped me master DSML fundamentals and crack my first placement, thanks to expert mentors and a structured curriculum.
Scaler’s live classes, mock interviews, case studies, and mentorship strengthened my DSML foundations and boosted my confidence.
Scaler’s DSML program transformed my mindset, skills, and career vision helping me dream big and stay industry-relevant through practical learning.
With stellar instructors and a strong curriculum, Scaler helped me transition from a maths background to mastering ML and DL with confidence.
Scaler built my foundational DSML skills and fueled my passion for data, helping me transition from mechanical design to data science successfully.
Scaler helped me build strong foundations in DSML, from statistics to Python and SQL. Consistent learning and curiosity now shape my growth at Brillio.
Have more Questions?
Program
The program is delivered online with a structured learning path, live interactive classes, assignments, and projects. The exact duration depends on the selected track/cohort as defined on the program page.
A coding background is not required for the beginner pathway. You should be comfortable with basic school-level mathematics, and the course starts from foundational concepts.
Classes are conducted live online and are also recorded on the learning platform for revision. If you miss a session, you can watch the recording later and continue with the planned coursework.
Typically, candidates from diverse backgrounds, including engineering, mathematics, and computer science, join the Data Science program from Bhubaneswar, seeking to transition into data-driven roles.
This course is indeed designed for working professionals, including those in Bhubaneswar, aiming to enhance their data science skills alongside their current roles.
Enrollment from Bhubaneswar is possible while targeting jobs in other tech hubs, given the program's flexibility and online accessibility.
Curriculum
The curriculum includes projects relevant to Bhubaneswar industries, ensuring that learners gain practical experience that can be applied to real-world scenarios in the city.
The curriculum typically progresses from foundational tools (SQL, Python, BI basics) to data analysis and visualization, statistics and probability, machine learning and deep learning fundamentals, and advanced topics such as specialization modules and MLOps (as applicable).
Projects that align with the recruitment needs in Bhubaneswar often involve predictive modeling, data mining, and business intelligence, which are in high demand across various sectors.
Yes, it's possible to customize your capstone project to focus on industries relevant to Bhubaneswar, allowing you to apply data science concepts to local challenges.
For roles in Bhubaneswar, proficiency in tools like Python, R, Tableau, and SQL is highly valued, as they form the foundation of data analysis and visualization.
Teaching
Teaching Assistants
Entrance Test
Mentors
Placement Support
Placement support typically includes career guidance and interview preparation resources. It is support and assistance, not a job or salary guarantee.
Freshers in Bhubaneswar are often recruited by IT companies, consulting firms, and research institutions for data science positions, offering a diverse range of entry points into the field.
Placement assistance is tailored to meet the specific needs of candidates targeting Bhubaneswar, including resume building, interview preparation, and networking opportunities.
Candidates from Bhubaneswar typically interview with a range of companies, from startups to established firms, across industries like IT, finance, and healthcare.
Tuition Fee
Job & Career
Salary expectations for data science jobs in Bhubaneswar vary based on experience and role but generally range from 5 to 15 lakhs per annum for entry-level positions.
Currently, roles like data scientist, business analyst, and data engineer are in high demand in Bhubaneswar, reflecting the city's growing need for data professionals.
Top recruiters for data analytics in Bhubaneswar include sectors like IT, finance, and healthcare, where data-driven decision making is crucial for operational efficiency and strategic planning.
The typical structure of data science interviews in Bhubaneswar involves a combination of technical questions, case studies, and behavioral interviews to assess both skills and fit.
Recruiters in Bhubaneswar value portfolio projects that demonstrate practical application of data science concepts, such as predictive modeling, data visualization, and machine learning.
To customize your resume for data science openings in Bhubaneswar, highlight your technical skills, include relevant projects, and emphasize any experience working with local industries or datasets.
Certification
The certification is recognized by major companies in Bhubaneswar, enhancing the credibility and career prospects of data science professionals in the city.
You earn the certificate by completing the required modules, assignments, projects, and assessments as per the program criteria. It represents successful completion of a structured, hands-on learning pathway.
The certification signals structured training and hands-on analytics experience relevant to Bhubaneswar's data roles. It complements portfolios focused on FinTech, pharma analytics, and enterprise domains.
