Even six years after data science gained prominence, it continues to gain much traction. Its field of application keeps growing day by day, attracting talent from a variety of disciplines. It wouldn’t be wrong to say that this is probably the best time to be a data scientist.
To cater to this growing demand for skilled data scientists, the Indian Institute of Management, Calcutta (IIMC) is launching the fifth batch of its one-year Advanced Programme in Data Sciences (APDS). This programme is designed in collaboration with VCNow to bridge the talent gap that exists in this rather dynamic field.
About the Programme
The one-year programme offered by IIMC covers all the latest trends and advancements in data science. Designed specifically for working professionals, this programme will introduce the participants to different tools and techniques used in handling, managing, analysing, and interpreting data. Apart from this, the programme would also introduce various software like Tableau, Oracle SQL, Python, R, Hadoop for data management and analysis.
The programme is designed by IIM Calcutta and will be delivered by its esteemed faculty. In this programme, candidates will form small teams and undertake organisation-based specialised projects of their choice. The aim of this programme is to develop a rock-solid foundation in students who will be able to apply advanced quantitative and statistical tools for effective decision making which in turn will aid business transformation.
The fifth batch of APDS is open for working professionals/ graduates/ postgraduates with 3+ years of work experience in a role involving the handling and interpretation of data and young managers aspiring to build a career in data science. Applicants must have a basic understanding of Mathematics and Statistics. A background in quantitative techniques and data analytics tools is preferred.
To provide more clarity on this program, IIMC, in association with Analytics India Magazine, is organising a webinar — Get industry-ready with IIM Calcutta’s Advanced Programme in Data Science. This session will provide information on the programme, which will be followed by a Q&A session.
Webinar Date & Time :Nov 14, 2021, Sunday from 4.00 PM to 5.00 PM IST.
Prof Manisha Chakrabarty, Programme Director & Faculty, IIM Calcutta
Dr Manisha Chakrabarty is a Professor in the Economics Area at the Indian Institute of Management Calcutta where she joined in 2007. She is a PhD from Indian Statistical Institute, Calcutta and has pursued her Master of Science from the University of Calcutta, with a Specialization in Statistics and Econometrics. She was awarded the Best Research Paper Award in 2011 in the International Conference on Data Envelopment Analysis and Its Application to Management; Centrum Catolica, Lima, Peru during 2011. Her broad area of research interest includes Applied Econometrics, Development Economics & Applied Finance.
Prof Debashis Saha, Programme Director & Faculty, IIM Calcutta
Dr Debashis Saha is a Professor in the MIS Group & Computer Science Area at the Indian Institute of Management Calcutta. He had joined in 2004 in this capacity. He is a PhD in Computer Communication & Networks from the Indian Institute of Technology Kharagpur. He has also pursued his M. Tech. in Electronics & Electrical Communication Engineering from IIT Kharagpur. Prior to that, he has done his B.E. (Hons.) in Electronics & Telecomm Engineering from Jadavpur University, Calcutta. He was awarded the Best Research Paper award on quite a few occasions – a few being the Best Paper award of Technology and Innovation Management (TIM) Division in the Academy of Management annual conference (AOM 2020); Best Paper Award in the Thirteenth International Conference on Digital Society and e-Governments (ICDS 2019), Athens, Greece, February 24 – 28, 2019, etc. His broad area of research interest includes Digital Business Transformation, IT Strategy and Governance, Digital ecosystem, IoT, Industry 4.0, Diffusion of Telecom innovation, Techno-economic of ICT, 4G/5G Network Operations, Management & Security, ICT for Development, Pervasive Computing & Communication, WDM Optical Networks, Protocol Engineering, etc.
Who can attend: Working professionals functioning in a role involving the handling and interpretation of data and young managers aspiring to make a career in data science.