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IIM Calcutta | Advance Programme in Data Science (Batch 08)

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