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Best Data Science Institute in Bhubaneswar
Data Science
& AnalyticsIndustry-Ready Data Science Program — Bhubaneswar, Odisha
Eligibility: Graduation / Working Professional | Duration: 10 Months
Course Snapshot
Explore the key highlights of our Data Science & Analytics program including machine learning, analytics workflows, visualization tools, certification, and real-world projects.
Course Duration
10 Months
Eligibility
Graduates, Students & Career Switchers
Learning Mode
Offline + Hybrid Learning
Certification
Industry-Recognized Certification
Projects & Capstone
Analytics Dashboards, Predictive Models & Real-World Data Science Projects
AI Tools Covered
Python, SQL, Tableau, Power BI, Pandas, NumPy & Machine Learning Libraries
AI Skills Covered
Data Analytics, Machine Learning, Data Visualization & Predictive Intelligence
Career Support
Career Support + Interview Preparation
Internship
Internship Assistance Available
10 Months
Professional Program
100%
Placement Assured
Industry Certified
Recognised by 100+ Recruiters
Why Choose the Data Science Program at IAIAC?
Our curriculum is designed in collaboration with industry leaders to ensure you gain job-ready skills in Python, SQL, Machine Learning, and data visualization — all while building a professional portfolio.
Hands-On Projects
Work on 10+ real-world datasets from finance, healthcare, and e-commerce domains.
Expert Mentorship
Learn from industry practitioners with 8+ years of experience in data science roles.
Career Support
Resume building, mock interviews, and direct referrals to our 57+ hiring partners.
Flexible Learning
Weekend batches for working professionals + recorded sessions for revision.
Real Industry Tools
Master Python, SQL, Tableau, Power BI, and cloud platforms used by top companies.
Portfolio Development
Build a professional GitHub portfolio with capstone projects that showcase your skills.
What You Will Learn From This Course:
Master Python programming and essential data libraries like Pandas, NumPy, and Matplotlib for efficient data manipulation.
Build powerful SQL queries and work with relational & NoSQL databases for real-world data extraction and management.
Apply statistical methods and probability theory to analyze trends, test hypotheses, and drive data-backed decisions.
Design and implement machine learning models using Scikit-Learn for regression, classification, and clustering tasks.
Create interactive dashboards and compelling visualizations using Tableau, Power BI, and advanced Python plotting libraries.
Perform data cleaning, feature engineering, and exploratory data analysis (EDA) to prepare raw data for modeling.
Deploy data pipelines and machine learning models to cloud platforms using Docker, FastAPI, and MLOps best practices.
Complete industry capstone projects with real datasets from finance, healthcare, and e-commerce to build a professional portfolio.
Course Content & Software Skills
Career Opportunities After This Course
Explore high-demand data roles and competitive salaries in the analytics industry.
Data Scientist
Extract insights from data using statistics, ML, and visualization to drive business decisions.
Data Analyst
Analyze and interpret complex data to help organizations make informed decisions.
Business Intelligence Analyst
Design dashboards and reports to visualize business performance metrics.
Data Engineer
Build and maintain data pipelines and infrastructure for analytics at scale.
Machine Learning Engineer
Develop and deploy ML models for predictive analytics and automation.
Quantitative Analyst
Apply mathematical and statistical methods to financial and risk modeling.
Research Analyst
Conduct data-driven research to support strategic planning and market analysis.
Product Analyst
Use data to improve product features, user experience, and business metrics.
Marketing Analyst
Analyze campaign performance and customer behavior to optimize marketing strategies.
Financial Analyst
Analyze financial data to guide investment decisions and budget planning.
Operations Analyst
Optimize business processes using data analysis and operational metrics.
Data Visualization Specialist
Create compelling visual stories from complex datasets using Tableau and Power BI.
Statistical Consultant
Provide expert statistical analysis and consulting for research and business projects.
Healthcare Data Analyst
Analyze healthcare data to improve patient outcomes and operational efficiency.
Data Scientist
Extract insights from data using statistics, ML, and visualization to drive business decisions.
Data Analyst
Analyze and interpret complex data to help organizations make informed decisions.
Business Intelligence Analyst
Design dashboards and reports to visualize business performance metrics.
Data Engineer
Build and maintain data pipelines and infrastructure for analytics at scale.
Machine Learning Engineer
Develop and deploy ML models for predictive analytics and automation.
Quantitative Analyst
Apply mathematical and statistical methods to financial and risk modeling.
Research Analyst
Conduct data-driven research to support strategic planning and market analysis.
Product Analyst
Use data to improve product features, user experience, and business metrics.
Marketing Analyst
Analyze campaign performance and customer behavior to optimize marketing strategies.
Financial Analyst
Analyze financial data to guide investment decisions and budget planning.
Operations Analyst
Optimize business processes using data analysis and operational metrics.
Data Visualization Specialist
Create compelling visual stories from complex datasets using Tableau and Power BI.
Statistical Consultant
Provide expert statistical analysis and consulting for research and business projects.
Healthcare Data Analyst
Analyze healthcare data to improve patient outcomes and operational efficiency.
Admission & Program Details
We believe talent is everywhere, but opportunity isn't. That's why we offer scholarships to make world-class Data Science education accessible.
Enrollment Guidelines
We are committed to making Data Science education accessible to every talented student. Explore our scholarship options designed to reduce financial barriers and support your journey into analytics and machine learning.
Required Documents
- Original caste certificate for SC/ST/OBC (if applicable)
- Original residential proof certificate
- Photocopy of Aadhar card
- Photocopy of applicant bank passbook
- Last qualification marksheet (Graduation)
Merit-based and need-based scholarships up to 50% off on course fees.
Program Details
Frequently Asked
Questions
Explore answers to common questions about our Data Science & Analytics course, data visualization, predictive analytics, certification benefits, and career opportunities in modern data-driven industries.
The Data Science & Analytics course is a comprehensive program designed to help learners understand data analysis, data visualization, statistical modeling, Machine Learning fundamentals, business intelligence, predictive analytics, and data-driven decision-making using modern industry tools and technologies.
This course is ideal for students, freshers, working professionals, business analysts, software developers, entrepreneurs, data enthusiasts, and anyone interested in building practical skills in Data Science, analytics, and Artificial Intelligence technologies.
Basic computer knowledge is helpful, but prior advanced coding experience is not mandatory for beginners. The course gradually introduces programming concepts, data analysis workflows, visualization techniques, and practical Data Science tools using beginner-friendly learning methods.
Students will learn data analysis, data visualization, statistical techniques, predictive analytics, Machine Learning fundamentals, business intelligence, dashboard creation, automation workflows, reporting systems, and practical problem-solving using modern data technologies.
Students will gain hands-on experience with industry-relevant tools and technologies used for data analysis, visualization, reporting, Machine Learning workflows, business intelligence, and analytics-driven decision-making in modern organizations.
Yes. Students will work on real-world projects involving data analysis, visualization dashboards, predictive analytics, business case studies, reporting automation, and portfolio-building assignments designed to develop industry-ready Data Science skills.
After completing this course, students can pursue career opportunities such as Data Analyst, Business Intelligence Analyst, Data Science Associate, Machine Learning Associate, Reporting Analyst, Analytics Consultant, AI Data Specialist, and Business Analytics Professional.
Data Science is used across industries such as healthcare, finance, marketing, e-commerce, education, cybersecurity, logistics, and business management to analyze data, predict trends, automate reporting, improve decision-making, and optimize business operations.
Yes. Students receive an industry-recognized certification after successfully completing the Data Science & Analytics course, practical projects, and assessment-based learning activities.
Data Science and analytics are among the fastest-growing technology fields globally. Organizations rely heavily on data-driven decision-making, creating high-demand career opportunities for professionals skilled in data analysis, business intelligence, Artificial Intelligence, and predictive analytics.
Ready to Master Data Science?
Gain expertise in analytics, machine learning, data visualization, predictive modeling, and real-world AI-driven decision-making systems.