Data Science & Analytics Course - IAIAC.IN
Data Science & Analytics Course - IAIAC.IN
Data Science & Analytics Course - IAIAC.IN
Course Overview
Institution:
Institute of Artificial Intelligence & Application Centre (IAIAC), Bhubaneswar, Odisha
Eligibility:
Graduation / Working Professional (Graduates, Students & Career Switchers)
Duration:
10 Months (8 Modules)
Learning Mode:
Offline + Hybrid Learning (Offline Campus in Bhubaneswar)
Language:
Hindi, English
Why Choose the Data Science Program at IAIAC.IN?
Our curriculum is designed in collaboration with industry leaders to ensure you gain job-ready skills in Python, SQL, Machine Learning, and data visualisation — 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.
100% Placement Assured
What You Will Learn:
- Master Python programming and essential data libraries like Pandas, NumPy, and Matplotlib.
- Build powerful SQL queries and work with relational & NoSQL databases.
- Apply statistical methods and probability theory to analyse trends, test hypotheses, and drive decisions.
- Design and implement machine learning models using Scikit-Learn for regression, classification, and clustering.
- Create interactive dashboards and compelling visualisations using Tableau, Power BI,and advanced Python plotting libraries.
- Perform data cleaning, feature engineering, and exploratory data analysis (EDA).
- Deploy data pipelines and machine learning models to cloud platforms using Docker, FastAPI, and MLOps best practices.
- Complete industry capstone projects with real datasets.
Course Content & Software Skills (8 Modules)
- Module 1: Python & Data Analysis Fundamentals
2. Module 2: Statistics & Probability
3. Module 3: Data Visualization
4. Module 4: Machine Learning for Data Science
5. Module 5: Big Data & SQL
6. Module 6: Time Series & Forecasting
7. Module 7: Cloud & Deployment
8. Module 8: Capstone Project & Portfolio
Tools & Skills Covered
Tools: Python, SQL, Tableau, Power BI, Pandas, NumPy, Machine Learning Libraries, Spark + 10 more.
Skills: Data Analytics, Machine Learning, Data Visualization, Predictive Intelligence, Big
Data Analysis, Business Insights.
Career Opportunities & Average Annual Salary
Data Scientist: ₹7,00,000
Data Analyst: ₹4,50,000
Business Intelligence Analyst: ₹5,20,000
Data Engineer: ₹6,80,000
Machine Learning Engineer: ₹8,00,000
Quantitative Analyst: ₹9,50,000
Research Analyst: ₹5,00,000
Product Analyst: ₹6,50,000
Marketing Analyst: ₹5,80,000
Financial Analyst: ₹6,20,000
Operations Analyst: ₹5,50,000
Data Visualization Specialist: ₹6,00,000
Statistical Consultant: ₹7,50,000
Healthcare Data Analyst: ₹6,30,000
Admission & Scholarship Details
Financial Support Available: Merit-based and need-based scholarships up to 50% off on
course fees.
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)
