Practical Decision Making Using Data Science

Leverage the power of Data Science to make decisions. Learn from Asia's No. 1 University.

  • Online Classes
  • 6 months
  • Masterclasses from Industry Experts
  • No Programming Experience Required
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Why Choose this Programme?

Learn from renowned NUS Business School Faculty
  • On-demand content from world-renowned NUS Business School Faculty.
  • Curriculum designed from the lens of Business Managers and Leaders.
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Suitable for Working Professionals
  • Online Classes with Masterclasses from Industry experts.
  • Monthly Projects with Guidance and Personalized feedback.
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Practical, Hands-on learning
  • 6 Projects including a Capstone Project to prepare you for real-world problems
  • No prior coding experience required
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Working Professional
Learn from NUS Business School faculty and Industry Experts
Career Support
6 Projects and Personalised Mentorship Sessions
Salary Hike
Certificate of Completion from NUS Business School
Industry Project
No programming experience required
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Practical Decision Making Using Data Science

Online | 6 months

Certificate of Completion from NUS Business School

World #11

World Ranking

QS World University Rankings

Texas

Asia #1

NUS (Asia) 2022

QS World University Rankings

Texas
Artficial intelligence and machine laerning certificate by university of Texas at Austin

World #11

World Ranking

QS World University Rankings

NUS

Asia #1

NUS (Asia) 2022

QS World University Rankings

NUS

Curriculum

The course covers an in-depth and comprehensive journey in Data Science from the lens of a Business Manager. Participants harness the skills required to analyze data and extract information to make sound business decisions and strategies.

  • Curriculum designed by NUS Business School Faculty and industry Experts
  • 6 Projects including a Capstone Project to prepare you for real-world problems
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Month 1: Foundations of Data-Driven Decision Making

Master the core tools needed to deal with any problem using a data-driven approach – from structuring the problem to data analysis and visualization. The first month of the Data Science training focuses on developing a strong understanding of the several concepts employed in Data-Driven Decision Making.
Below are the various concepts you will learn in this module.

Identify, prepare and analyse data to derive maximum value

    In the first sub-module of the Decision-making course, you would learn the skills and techniques employed to identify, prepare and analyze data to derive maximum value.

Visualise data intelligently to deliver the right message

    Data Visualization is the pictorial representation of data by using effective visual elements like charts, graphs, and maps, data visualization tools to see and understand trends, and patterns in the given data.
    Data visualization is one of the most important aspects of Data Science. Creative data visualization promotes outstanding benefits and drives the best results. In this submodule, you would learn techniques of Data Visualization.

Driving Success in Data Analytics projects

    In this sub module, you will learn to implement several tools and skills to drive success in data analytics projects.

Month 2: Decision Making Under Uncertainty

Real-world problems come with limited data and a lot of uncertainty. Learn how to deal with these kinds of problems using the data available. Get equipped to immediately start adding value to your organisation.
Below are the various concepts you will learn in this module.

Bayes theorem and Bayesian Decision Making

    Bayes' theorem defines the probability of an event considering the new information that is, or maybe related, to that event. Bayesian Decision Making is the method in which a decision is made considering the probability of a strong outcome. In this sub module, you would learn the several techniques of Bayes’ theorem and Bayesian Decision Making.

Simulations to make decisions under uncertainty

    In this sub module, you will learn several skills and techniques employed in creating stimulations to make decisions under uncertainty.

Decision trees and their uses in a variety of situations

    A decision tree is a specific type of probability tree that allows you to decide some kind of process. In this sub module, you would learn the several techniques used of Decision Trees (hyper parameter, depth, number of leaves) and their uses in a variety of situations.

Month 3: Optimal Decision Making

Use optimization to make informed decisions, and learn tools to validate and understand the sensitivity of your analyses.
Below are the various concepts you will learn in this module:

Linear Optimisation

    Linear Optimization, which is also called linear programming, is a process used to achieve the best outcome. This process employs a mathematical model whose elements are represented by linear relationships. In this sub module, you would learn to perform Linear Optimization.

Sensitivity Analysis and Shadow Price

    Sensitivity analysis is the study of uncertainty in the output of a mathematical model. This process includes testing the robustness of the conclusions derived in the presence of uncertainty. A shadow price is a forecasted price for a product or service that is not priced or sold in the market. In this submodule, you will learn several tools and techniques of sensitivity analysis and shadow pricing.

Month 4: Predictive Analytics

Master Supervised Learning to make predictions using data, and Unsupervised Learning to learn patterns from data.
Below are the various concepts you would learn in this module.

Linear & Logistic Regression

    Linear and Logistic Regressions are two important statistical applications used in Data Science. Linear Regression is applied to predict the continuous dependent variable in a given set of independent variables while Logistic Regression is applied to predict the categorical dependent variable in a given set of independent variables. In this sub module, you will learn the several techniques of Linear and Logistic regression

Classification & Regression Trees

    CART stands for Classification and Regression which represents the Decision Tree algorithms used for classification or regression predictive modeling problems. In this sub module, you will learn the several techniques of CART.

Cross-validation

    Cross-validation is a resampling method employed to evaluate several Machine Learning models on a confined data sample. In this submodule, you would learn to perform cross validation.

Month 5: Experiments and Causal Inference

In the 5th month of the practical decision making course, you will learn to design practical experiments to gain insights, and learn to deal with external factors and events outside your control.
Below are the various concepts you will learn in this module.

Randomized controlled trials

    A randomized controlled trial or RCT is an innovative method used for impact evaluation. Randomized controlled trials are the best means to analyse the safety and efficacy of new strategies. RCTs assist to answer strategy-related questions and thus promote effective decision making.

Instrumental Variables

    An instrumental variable is used in regression analysis. Instrumental variables are used to accurately predict the 'treatment' effect of a specific independent variable. Therefore, instrumental variables are used to deliver absolute effects.

Difference in Differences

    Difference in Differences, also known as DID or DD is a statistical technique employed in econometrics and quantitative analysis that tries to imitate an experimental research idea through observational study data. In this module, you would learn to implement DID techniques.

Month 6: Data Science to Drive Business Value

In the sixth month of the Data Science course, you will learn how to put the tools and techniques you have learned to the service of business growth and value generation.
Below are the various concepts you will learn in this module.

Driving digital transformation within the organisation

    Digital transformation refers to the integration of digital technology into all sectors of a business, changing the way it operates and delivers value to customers. The learners will master various skills required for driving digital transformation within the organization.

Aligning organisations and teams for data-driven approaches

    You will learn to align organizations and teams for data-driven approaches and eventually develop a data-driven culture.

Making the business case for Data Science

    This sub module concentrates on developing a business case for Data Science where you will employ all the skills, tools and techniques mastered throughout the course.

Certificate of Completion from NUS Business School

Upon the successful completion of the NUS Practical Decision Making Using Data Science, you will receive a certificate of completion from the world-renowned NUS Business School. Take up the Practical Decision Making Using Data Science programme today to master a data-driven business approach.

Languages and Tools covered

Faculty

Learn from leading academicians in the field of data science and business analytics and several experienced industry practitioners from top organizations.

  • 20+ professors
Dr. Kumar Muthuraman
Professor Jussi Keppo

Associate Professor and Dean's Chair

Research Director, Institute of Operations Research and Analytics

Department of Analytics & Operations, NUS Business School

National University of Singapore

Mr. Tan Hong Ming
Dr. Tan Hong Ming

Lecturer and Research Fellow

Department of Analytics and Operations, NUS Business School,

Institute of Operations Research and Analytics National University of Singapore

 

Your Learning Experience

Learn from a comprehensive curriculum taught by world-class faculty. Get guidance on your learning journey, and access dedicated programme support.

Learn from Internationally Renowned Faculty from NUS Business School

Comprehensive learning and international recognition

  • Programme curriculum designed by the award-winning Faculty of NUS Business School.
  • Position yourself as a data science leader by gaining industry-valued skills.
  • Monthly Projects with Guidance and Personalized feedback.
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PERSONALISED AND INTERACTIVE

Online Masterclasses with Learning Support

  • Online Masterclasses by Industry experts.
  • Guidance on projects with learning support.
  • Interact with like-minded peers from diverse backgrounds and geographies.
  • Dedicated Program Manager provided by Great Learning for academic and non-academic queries.

Learner Testimonials

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Programme Fees

Practical Decision Making Using Data Science

USD 2200

Easy EMI option available

Certificate of Completion from

  • 6 months comprehensive programme
  • Online learning with Masterclasses and Learning Support
  • Designed for mid & senior managers and business leaders
  • Comprehensive curriculum and World-class learning material from NUS Business School faculty and industry experts
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Apply Now

Candidates can pay the course fee through Credit/Debit Cards and Bank Transfer. For further details, please get in touch with our admissions team.

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Application Process

  • Step 1 : Fill the application form

    Apply by filling a simple online application form.

  • Step 2 : Interview Process

    Go through a screening call with the Admission Director’s office.

  • Step 3 : Join Programme

    An offer letter will be rolled out to the select few candidates. Secure your seat by paying the admission fee.

Upcoming Application Deadline

Admissions are closed once the requisite number of participants enroll for the upcoming cohort . Apply early to secure your seat.

Deadline: 9th Feb 2023

Apply Now
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We hope you had a good experience with us. If you haven’t received a satisfactory response to your queries or have any other issue to address, please email us at

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Frequently Asked Questions

Program Details
What is the ranking of the National University of Singapore?

National University of Singapore Business School is currently ranked No. 1 in Asia and 11th globally by QS World Rankings 2021.

What is the role of the NUS in the Practical Decision Making Using Data Science programme?

The Practical Decision Making Using Data Science curriculum has been designed by faculty from NUS with the learning content and assessments created in collaboration with faculty from NUS and industry experts from the data science domain. Upon completion, all successful participants get a certificate from NUS business school.

How much would be the weekly time commitment for this course?

We recommend that the candidate needs to spend at least 4 to 6 hours (including the time spent on watching the online recorded sessions) 

Who will teach the Practical Decision Making Using Data Science course?

The programme will be delivered online via recorded videos from NUS faculty and Industry Experts who apply machine learning tools and techniques every day will contribute to your learning through industry sessions & case studies.

What kind of learning assistance will I get?

You will get asynchronous support from the Great Learning academic team in case of conceptual queries & guidance to the projects. In addition, you will have live industry expert sessions, where experts will conduct case studies and share their experiences. 

What will my learning schedule like?

You can learn concepts online with recorded sessions, and clarify your doubts with the help of asynchronous support from our academic team.  There will be periodic industry sessions & live masterclass sessions conducted by NUS faculty.

Will I have to spend more on other material?

All required content is included in the programme fee and available at any time during (and after completion of) the programme. You are welcome to purchase additional material for your own reference on faculty recommendation.

Will the content be available after the programme is completed?

We believe that learning is continuous and hence all learning material – online content and supporting material – will be available through the online platform for 1 year after completion of the programme.

How will I be evaluated during the programme?

In this holistic and rigorous programme, you will be evaluated continuously. All quizzes, assignments, attendance and projects are used to evaluate and monitor your progress towards the desired learning outcomes.

Will there be placements at the end of the Practical Decision-making using Data Science course?

No. There will be no placements at the end of this course

What is a capstone project?

All the candidates will be analysing a real-world problem using a range of tools & techniques that they have learned in the class. The duration of the project will be 1 month.

Do candidates need to bring their own laptops?

The candidates need to bring their own laptops; the technological requirement will be shared at the time of enrollment. 


 

Admissions & Eligibility
What is the eligibility for the programme?

The Practical Decision Making Using Data Science programme is a hands-on programme designed for senior professionals and thus a minimum of 3 years of work experience is required to join this course.

I am not from a technical background – Can I join?

Yes. The programme is designed for business leaders, irrespective of their technical knowledge. If you'd like to leverage the power of data science in your day-to-day decision-making, this programme is for you.

Still have queries?
Contact Us

Please fill in the form and an expert from the admissions office will call you in the next 4 working hours. You can also reach out to us at pdds.nus@mygreatlearning.com or +65 3129 5366.
Alternatively you can email the NUS business school team at exec_edu@nus.edu.sg

Application Closes 9th Feb 2023

Download Brochure

Check out the program and fee details in our brochure

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Data Science Course For Practical Decision-Making Offered by NUS Business School

Making data-driven decisions is perhaps the most efficient business hack. Many organizations have already witnessed the outstanding impact caused by data-driven decision making and many are on their way to embracing real-time data-driven decision-making.

What is Data Science all about?

The domain of Data Science is multidisciplinary as it exercises several scientific techniques, methods, algorithms, and systems to obtain knowledge and insights from data.

Data-driven decision-making is a way to determine a course of action based on quality data. It uses data systematically and intelligently to access, test, and improve program activity processes. In simple words, data-driven decision-making can be explained as getting the right data to the right people at the right time to make the best use of data for problem-solving and performance improvement. Data-driven decision-making assists organizations in multiple ways. It offers several benefits such as identifying and responding to emerging trends and needs. It helps in solving complex business problems and achieving long-term goals. 

Data-driven decisions are highly reliable and extremely efficient. Data-driven decisions are creating a significant impact on several functions such as optimizing the marketing mix, pricing, automation, enhancing the customer experience, solving complex business problems, forecasting the future, and many more. Hence, learning Data Science is now perceived as a need to undertake a career shift and withstand the competition. 

Great Learning has designed a comprehensive program called Practical Decision Making Using Data Science. This is a hands-on program designed for senior professionals to help them enhance their skills and undertake a career transition into the roles of Data Science and Machine Learning. 

Upon taking up the Data Science course, learners will be taught about the tools and methodologies employed by data-centric organizations that use the data to make effective decisions and apply Data Science to empower their businesses. 

The tools and techniques taught in this programme would enhance the skills and aid in better decision-making. Hence, people working in job roles such as functional manager, analyst, business leader, or entrepreneur should consider taking up a Data Science course offered by NUS. The goal of the program is to help you make good business decisions using Data Science, no matter which industry you represent or what function you work in.

Who could take up the Practical Decision-Making Programme?

The Practical Decision Making Using Data Science programme is best suited for those who have a strong understanding of their respective domains and wish to learn analytics to aid their decision-making skills.

 This programme also stands as the best choice for those working in the below mentioned job roles aspiring to expand their analytical and data science skillset

  • Product/Project/Programme Managers 

  • New Team Leads and Executives 

  • Sales/Marketing/Delivery/Account Managers 

  • CXO/Directors 

  • Experienced Entrepreneurs who wish to expand their skillset

Note - Prior Coding experience is not necessary for this program.

The pay scale offered to Data Science professionals

The domain of Data Science is recognized as one of the leading professions across the world for the tremendous demand it has attained in recent times. Salary.com states that the pay scale of a data scientist across the United States ranges from $110k-160k per annum. Adding Data Science and analytical skills to your existing technological skills would assist you to land a better job role. The pay scale offered in this domain is also considered as one of the main reasons driving interest in pursuing a career in Data Science. 

What would you learn when you take up the Practical Decision-Making Programme offered by NUS.

Below are several skills you would master upon taking up the Data Science course.

  • Acquire the skills to use the best methodologies to employ data for deriving meaningful outcomes for your organization. 

  • Gain operational knowledge of several data frameworks & tool kits to expeditiously assess Data Science problems.

  • Acquire working knowledge of frameworks & toolkits to quickly evaluate a particular problem

  • Master the skill set of Excel and Azure ML for developing several Data Science applications.

  • Get acquainted with the business landscape and several varieties of business problems that can be solved through Data Science practices.

  • Equip yourself with knowledge of analytics to supervise your team and lead them in the right direction.

Why should you take up the Practical Decision Making Using Data Science programme offered by the National University of Singapore?

Even though there are a lot of institutions offering several programmes in Data Science, what makes the Practical Decision Making Using Data Science programme offered by the National University of Singapore stand as the best choice?

This program is offered by Great Learning in collaboration with the prestigious NUS- National University of Singapore. 

NUS stands as one of the most reputed Universities across the world. NUS is one of the leading business schools in Asia. It has also been recognized as the best business school in East and West of Asia. NUS is also ranked #1 in Asia's QS World University Rankings and 11th in QS World University Rankings. 

Great Learning is one of the leading Ed-tech companies offering various courses in the most in-demand technologies such as Artificial Intelligence, Data Science, Machine Learning, Cyber security, and more. 

Let us learn about the various benefits offered by Great Learning upon taking up the Data Science online program by NUS.

Faculty

The faculty of NUS is perceived as one of the best across Asia and the world. Upon taking up the Data Science NUS programme, learners get to learn from the highly skilled and knowledgeable faculty of NUS. Learners partake in live online classes organized by the faculty of NUS. The list of faculty of this programme includes Professor Jussi Keppo, Associate Professor and Dean's Chair Research Director of NUS, Professor Tan Hong Ming, Lecturer and Research Fellow Department of Analytics and Operations, NUS Business School, and many other accomplished faculty members.

Masterclasses from Industry Experts

The Data Science programme by NUS also incorporates several masterclasses in which industry experts take and share their actual experiences. The industry experts are real-world practitioners of data scientists working for reputed organizations across the world. 

Certificate

Upon the successful completion of the Data Science programme, each candidate will receive a certificate from the world-renowned National University of Singapore adding value to their CV.

Exhaustive Curriculum

Learn from the exhaustive curriculum curated by experts, helping learners build industry-valued decision-making and analytical skills. The curriculum of this programme is one of the key characteristics that make it stand out.

Hands-on Training

Candidates work on 6 Projects including a Capstone Project that prepares them to solve real-world business problems.

These projects support the learners to gain practical knowledge and expertise in exercising the tools and concepts learned throughout the sessions. Learners will also be provided with guidance from industry experts throughout their learning journey.

Flexibility

The Practical Decision-Making programme is a 6-month online program that demands 4 to 6 hours of learning commitment per week. Hence, learners can manage their personal and professional lives while pursuing the Data Science online course.

So, what are you waiting for? Register for the best online Data Science programme today.