📢 IIM CALCUTTA Advanced Programme in Data Sciences (APDS-05) - Programme Information

[Click Here]( AAwLVQMKHVVKFxFbQE1LBQsBBVpQEwxXXAl4VwlVW1gbAlxfSBk=&ml=CAEBV00IHVABU1RO&sl=e0hxH2RrHTd7Nx9eXVIXEgUNC0FCBxcXDV9EAA==&pp=0&) to see the web version AAwLVQMKHVVKFxFbQE1LBQsBBVpQEwxXXAl4VwlVW1gbAlxfSBk=&ml=CAEBV00IHVADV1RO&sl=e0hxH2RrHTd7Nx9eXVIXEgUNC0FCBxcXDV9EAA==&pp=0& Demand for trained data scientists has witnessed a massive growth in recent years. Data analysis is not only essential but indispensable for meeting the challenges of making most efficient strategic as well as tactical decisions. The objective of this programme is to introduce participants to the different tools and techniques used for handling, managing, analyzing and interpreting data. The programme is suited for working professionals who would like to have a hands-on feel on working with data and making sense of it. Main focus of the programme is on data management and analysis with introduction to various software such as, Tableau, SPSS Modeler, Oracle SQL, Python, R, @Risk, Arena, Hadoop, etc. As part of the programme, participants will be required to form small teams and undertake organization-based specialized or comprehensive projects of their choice, in the areas of marketing, finance and operations, to be guided by IIMC faculty. Successful completion of the programme will enable the participants to acquire a strong foundation for applying advanced quantitative and statistical tools to make most effective decisions driven by sound data analysis. DISTINTICTIVE FEATURES OF THE PROGRAMME: APDS will focus on the tools and techniques used for handling, managing, analyzing and interpreting data Main focus is on data management and analysis with introduction to various software such as, Tableau, SPSS Modeler, Oracle SQL, Python, R, @Risk, Arena, Hadoop, etc. Added focus on database management, computation and information systems, topics such as Data Interpretation, Visualization and Analysis, Database Management & Data warehousing, Machine Learning, Big Data Storage and Analytics, Deep Learning will be covered in more detail APDS will be much broader in terms of application areas and would have considerable focus on non-business applications where data handling/managing skills are required such as atmospheric sciences, government, utilities, agriculture etc. APDS will not focus on the different business domains such as finance, operations, marketing etc. Quantitative topics such as Statistics for Data Science, Econometrics, Stochastic Processes and Simulation will be covered in detail Several case studies showing the use of data science in organizations will be discussed [I am Interested]( AAwLVQMKHVVKFxFbQE1LBQsBBVpQEwxXXAl4VwlVW1gbAlxfSBk=&ml=CAEBV00IHVADV1RO&sl=e0hxH2RrHTd7Nx9eXVIXEgUNC0FCBxcXDV9EAA==&pp=0&) For programme brochure and any query, please feel free to get in touch with the Academic Advisor on 7428290710 Who Should Attend: Working professionals with a role involving handling and interpretation of data. Young managers aspiring to make a career in data science. Knowledge of Programming is not essential, but applicants must have basic understanding of Mathematics and Statistics. Professionals who are keen to build a career in Data Science or those seeking to accelerate their career in Data Science with leading techniques & industry relevant curriculum gaining through the knowledge & skills of the finest faculties at IIM Calcutta. Eligibility Criteria: Working professionals/Self employed with an experience profile of 3 years or more, who are graduates (10+2+3)/post graduates in any discipline with 50% marks in either graduation or post graduation Applicants would be selected through assessment of background and motivation based on the application form submitted (Knowledge of Programming is not essential, but applicants must have basic understanding of Mathematics and Statistics) -- [Click Here]( AAwLVQMKHVVKFxFbQE1LBQsBBVpQEwxXXAl4VwlVW1gbAlxfSBk=&ml=CAEBV00IHVABU1tO&sl=e0hnH2RrHTd7Nx9eXVIXEgUNC0FCBxcXDV9EAA==&pp=0&) to unsubscribe from this newsletter.