
IIM Calcutta | Advance Programme in Data Science (Batch 08)
Achieve data science excellence with a business edge.
Achieve data science excellence with a business edge.
Course Snapshot
- FeeINR 4,80,000/- + GST
- Work Experience3 - 30 Years
- Duration12 Months
- Delivery MethodCampus

Course Detail
Programme Overview:
In a world where 2.5 quintillion bytes of data are generated daily, data science mastery is no longer a choice but a necessity for success. However, data science goes beyond technical proficiency; it demands a profound understanding of the intricate business aspects of data. IIM Calcutta's Advanced Programme in Data Sciences (APDS) goes above and beyond equations and algorithms, offering profound insights and a strategic understanding of data within the context of business and management. Participants gain advanced skills in transforming data into actionable business value, providing data-driven recommendations and predictions to achieve their organisation's strategic goals.
Learning Outcomes:
- Study how to transform data into actionable insights using Artificial Intelligence, Machine Learning, Data Interpretation and Visualisation.
- Acquire proficiency in software applications and tools such as Tableau, Python, R, SPSS Modeler, Oracle SQL, @Risk, Arena, Hadoop, among others.
- Dive deep into quantitative subjects, including Econometrics, Stochastic Processes and Simulation.
- Master all the techniques of Data Analysis, Database Warehousing, Big Data Storage & Analytics.
- Explore advanced topics such as Text Mining, IoT, Deep Learning and Industry 4.0.
- Expand your data handling/processing skills to non-commercial applications such as atmospheric science, government, utilities and agriculture.
Desired Candidate Profile
- Eligibility: 3+ years of work experience.
Course Modules
- Foundations of Data Science and Problem-Solving
- Mathematical Foundations for Data Science
- Statistical Foundations for Data Science
- Database Management and Data warehousing
- AI / ML with Python
- Data Interpretation, Visualization and Analysis
- Advanced Statistical Models for Data Analysis
- Stochastic Process and Simulation
- Functional Topics in Data Analytics
- Advanced Econometrics with programming in R
- Big Data Storage and Analytics
- Advanced Topics in Data Science
- Capstone Project in Data Science