Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
In the Practical Decision Making Using Data Science programme, you will learn how data-centric enterprises leverage their data, make decisions, and use analytics to boost their businesses. Whether you are an analyst, a business leader, or a functional manager, you will make more informed and better decisions using the tools you will learn in this programme.
The Practical Decision Making Using Data Science syllabus covers a comprehensive and in-depth Data Science journey from the lens of a Business Manager. You will learn to harness the skills required to extract information and analyse data to make sound business strategies and decisions. You will learn to structure the problems better, ask the right questions, and perform suitable analytics.
The Practical Decision Making Using Data Science programme does not assume you are proficient in writing code and develops your skills from scratch. You also get to be a part of a series of well-structured projects, where you get to apply all the concepts you’ve learned. You also get a certificate at the end that attests to all your skills.
The Highlights
- 6 projects
- Online classes
- No coding experience required
- Masterclasses from industry experts
- 6-month course
- Certificate of completion from NUS business school
- Curriculum designed by award-winning faculty
- Personalised feedback
Programme Offerings
- Masterclasses from industry experts
- Online Classes
- 6 projects
- Personalised feedback
- 6-month course
- No coding experience required
- Curriculum designed by award-winning faculty
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | NUS Business School, Singapore |
- You must pay the Practical Decision Making Using Data Science course fee to enroll in the program.
- The application fee is also included in the total fee.
- EMI option is also available.
Practical Decision-Making Using Data Science fee structure
Course | Fee in USD |
Practical Decision Making Using Data Science (total fee) | USD 2,200 |
Application fee | USD 400 (included in the total fee) |
Eligibility Criteria
The Practical Decision Making Using Data Science training programme is a hands-on programme developed for senior professionals. Thus, you must have at least 3 years of work experience to join this course.
What you will learn
By the end of the Practical Decision Making Using Data Science course, you will:
- Acquire working knowledge of toolkits and frameworks to assess Data Science problems quickly
- Build the capability to understand how to utilise data to get meaningful results for your business
- Learn how to use Azure ML and MS Excel for building Data Science applications
- Equip yourself with adequate analytics knowledge to lead your team in the right direction
- Understand the business landscape and the various types of business problems that can be solved with Data Science
Who it is for
The Practical Decision Making Using Data Science programme is best suited for:
- New Team Leads and Executives
- Product/Project Managers
- CXO/Directors
- Sales/Marketing/Delivery/Account Managers
Admission Details
- Visit the Practical Decision Making Using Data Science course website using this link: https://www.greatlearning.in/nus-practical-decision-making-using-data-science-course.
- Scroll down to the Application Process section and click on the “Online Application Form” hyperlink.
- Provide some basic and professional details.
- Sit for the basic information.
- Pay the course fee.
Application Details
You need to fill an online application form to join the Practical Decision Making Using Data Science programme. The form requires basic details like city, name, mobile number, email address, work experience, organisations you’ve worked in, and industry.
The Syllabus
- Identify, prepare and analyse data to derive maximum value
- Visualise data intelligently to deliver the right message
- Driving Success in Data Analytics projects
- Bayesian Decision Making
- Simulations to make decisions under uncertainty
- Decision trees and their uses in a variety of situations
- Linear Optimisation
- Sensitivity Analysis and Shadow Price
- Linear & Logistic Regression
- Classification & Regression Trees
- Cross-validation
- Randomized controlled trials
- Instrumental Variables
- Difference in Differences
- Driving digital transformation within the organisation
- Aligning organisations and teams for data-driven approaches
- Making the business case for Data Science
Instructors
NUS Business School, Singapore Frequently Asked Questions (FAQ's)
Yes, the course is designed for business leaders, irrespective of the technical knowledge you possess.
The programme is 6 months long.
No, you don’t need programming experience to participate in this course.
This project has a total of 6 courses.