NUS-ISS - National University of Singapore - Practical Decision Making Using Data Science
- Offered byGreat Learning
National University of Singapore - Practical Decision Making Using Data Science at Great Learning Overview
Duration | 6 months |
Total fee | ₹1.64 Lakh |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
National University of Singapore - Practical Decision Making Using Data Science at Great Learning Highlights
- Earn a Certificate of Completion by National University of Singapore, Asia's #1 University
- Monthly projects with guidance and learning support
- 6 Projects including a Capstone Project to prepare you for real-world problems
- Gain expertize on widely used tools like Azure Machine Learning and Microsoft Excel
National University of Singapore - Practical Decision Making Using Data Science at Great Learning Course details
- This programme is best suited for mid to senior managers who wish to learn analytics to aid their decision making skills. These would include:
- Product/Project/Programme Managers
- New Team Leads and Executives
- Sales/Marketing/Delivery/Account Managers
- CXO/Directors
- Experienced Entrepreneurs who wish to expand their skill set
- Acquire working knowledge of frameworks & toolkits to quickly evaluate Data Science problems
- Learn how to use Excel and Azure ML for building Data Science applications
- Equip yourself with sufficient analytics knowledge to guide your team
- Learn how data-centric organisations leverage the data at their disposal, make decisions, and use Data Science to boost their businesses
- Participants will learn to ask the right questions, structure the problems better, perform suitable analytics and develop good judgment
- Learn by hands-on - through a series of well-structured projects where you apply the concepts you have learned
- Also build your skills in the tools of the trade - Excel and cloud-based platforms that support data analysis.
National University of Singapore - Practical Decision Making Using Data Science at Great Learning Curriculum
Month 1: Foundations of Data-Driven Decision Making
Identify, prepare and analyse data to derive maximum value
Visualise data intelligently to deliver the right message
Driving success in Data Analytics projects
Month 2: Decision Making Under Uncertainty
Bayes Theorem and Bayesian Decision Making
Simulations to make decisions under uncertainty
Decision trees and their uses in a variety of situations
Month 3: Optimal Decision Making
Linear Optimisation
Sensitivity Analysis and Shadow Price
Cross-Validation
Month 4: Predictive Analytics
Linear & Logistic Regression
Classification & Regression Trees
Clustering and k - Nearest Neighbor (k-NN) techniques
Month 5: Experiments and Causal Inference
Randomised control trials
Instrumental variables
Difference in differences
Month 6: Data Science to Drive Business Value
Driving digital transformation within the organisation
Aligning organisations and teams for data-driven approaches
Making the business case for Data Science
National University of Singapore - Practical Decision Making Using Data Science at Great Learning Faculty details
National University of Singapore - Practical Decision Making Using Data Science at Great Learning Entry Requirements
- Graduate with 3+ years of work experience
- Proficiency in English is mandatory
- Not mentioned
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