Data Science & Analytics Course

Course Overview

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.

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
• Module 2: Statistics & Probability
• Module 3: Data Visualization
• Module 4: Machine Learning for Data Science
• Module 5: Big Data & SQL
• Module 6: Time Series & Forecasting
• Module 7: Cloud & Deployment
• 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)