Advanced Data Science for Practicing Business Analysts offered by IIM Calcutta
- Public/Government Institute
- Estd. 1961
Advanced Data Science for Practicing Business Analysts at IIM Calcutta Overview
Duration | 12 months |
Total fee | ₹1.18 Lakh |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Credential | Certificate |
Future job roles | EAI, Account Planning, Ecommerce development, E-commerce development, Data Analyst |
Advanced Data Science for Practicing Business Analysts at IIM Calcutta Highlights
- Batch Starts January 27 - 31, 2020
- Only Management Institute in India with triple accreditations by AACSB, AMBA and EQUIS.
- Rank 23rd globally
Advanced Data Science for Practicing Business Analysts at IIM Calcutta Course details
- This programme is aimed at working professionals dealing with Data Science and analytics based model building.
- Understand and appreciate the underlying theoretical issues that govern applicability, success, and failure of statistical and machine learning models in decision making
- Go deep into the widely used statistical and machine learning methods useful in solving data driven business decision problems in organizations
- Interactive class room learning with lectures
- Case based experiential learning with participants
- Necessity and success of use of analytics have led to the creation of analytics cell in most organizations dealing with data driven decision making. The subject being relatively new, there is acute shortage of formally qualified professionals for this field. Consequently, many of these working professionals have acquired their skills by on the job trial and error experience using software tools available in the organizations without any formal exposure to this complex subject. This restricts their understanding of the subject, often preventing them from utilizing the full potential of modern statistical and machine learning tools and techniques. A formal exposure to the theories and principles of the underlying methods they use would have significantly enhanced the quality of solutions they would otherwise deliver. Familiarity with emerging methods, tools and techniques beyond the limited options they are exploring would also add to their productivity. It will be an opportunity for such a group of professionals to familiarize themselves with state of the art theories and principles of analytics in action.
Advanced Data Science for Practicing Business Analysts at IIM Calcutta Curriculum
Art of Data Cleaning: Outlier management, data imputation and influence diagnostics
The challenge of variable selection in a model: Dimensionality reduction using Principal Component Analysis and other methods
Study of qualitative factors in experiments: Categorical Data Analysis
Artificial Neural Network and Deep Learning in predictive analytics: Finer issues and parameter setting
Challenges in unsupervised learning: Quality evaluation of clusters
Building statistical models in business planning: Forecasting techniques
Integrating Artificial Intelligence with human expertise: Bayesian Techniques
Challenges in Network Analytics: Modeling of network effect in organizational strategies
Decision making from sample surveys: Determination of Sample Size and choice of sampling
Advanced Data Science for Practicing Business Analysts at IIM Calcutta Entry Requirements
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Kolkata ( West Bengal)
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