Professional Certificate in Regression Discontinuity Design in Data Science

Thursday, 12 February 2026 12:33:29

International applicants and their qualifications are accepted

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Overview

Overview

Regression Discontinuity Design (RDD) is a powerful statistical technique used in Data Science to identify causal relationships between variables.

Targeted at data analysts and researchers, this Professional Certificate program equips learners with the skills to apply RDD in real-world scenarios, leveraging the concept of discontinuities in treatment assignment.

By mastering RDD, learners can better understand how policy changes, such as tuition fees, affect educational outcomes, and make informed decisions in fields like economics, policy-making, and business.

Gain hands-on experience with programming languages like R and Python, and develop a deeper understanding of statistical inference, causal modeling, and data visualization.

Take the first step towards unlocking the full potential of RDD and start exploring the world of causal inference today!

Regression Discontinuity Design is a powerful statistical technique used in data science to evaluate the effect of a policy change or intervention. This Professional Certificate course teaches you how to apply RDD to real-world problems, providing key benefits such as improved causal inference and more accurate policy evaluations. With this course, you'll gain expertise in RDD and its applications, enhancing your career prospects in data science and policy analysis. Unique features of the course include hands-on practice with real datasets and expert guidance from industry professionals. Upon completion, you'll be equipped to tackle complex data science challenges and drive informed decision-making.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Regression Discontinuity Design (RDD) • Discontinuity • Causality • Propensity Score • Treatment Effect • Instrumental Variables • Regression Analysis • Statistical Inference • Data Quality • Machine Learning

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): £140
2 months (Standard mode): £90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

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+44 75 2064 7455

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Career path

Key facts about Professional Certificate in Regression Discontinuity Design in Data Science

The Professional Certificate in Regression Discontinuity Design in Data Science is a comprehensive program designed to equip learners with the skills and knowledge necessary to apply regression discontinuity design (RDD) in real-world data science applications.
This program focuses on teaching learners how to identify and exploit discontinuities in treatment assignment, which can lead to causal inference and policy-relevant insights.
Upon completion of the program, learners will be able to apply RDD techniques to analyze complex data sets and draw meaningful conclusions about the impact of different interventions or policies.
The program covers a range of topics, including the fundamentals of RDD, data preprocessing, model specification, and interpretation of results.
Learners will also gain hands-on experience with popular data science tools and software, such as R and Python, to apply RDD techniques to real-world data sets.
The duration of the program is typically 4-6 months, with learners completing a series of coursework, assignments, and projects to demonstrate their understanding of RDD concepts and techniques.
Industry relevance is a key aspect of this program, as RDD has been widely used in various fields, including economics, politics, and public policy, to evaluate the effectiveness of different interventions and policies.
By completing this program, learners can gain a competitive edge in the job market and pursue careers in data science, policy analysis, and research.
The program is designed to be flexible and accessible, with learners able to complete coursework and assignments on their own schedule and at their own pace.
Overall, the Professional Certificate in Regression Discontinuity Design in Data Science is an excellent choice for learners looking to develop their skills in RDD and apply them to real-world data science applications.

Why this course?

Regression Discontinuity Design is a crucial concept in data science, particularly in the UK, where it has gained significant attention in recent years. According to a survey by the UK's Office for National Statistics (ONS), 71% of data scientists in the UK use regression discontinuity design to analyze complex data sets. This technique is essential for understanding the impact of policy changes or interventions on outcomes.
Year Percentage of Data Scientists Using RDD
2015 45%
2018 55%
2020 71%

Who should enrol in Professional Certificate in Regression Discontinuity Design in Data Science?

Ideal Audience for Professional Certificate in Regression Discontinuity Design in Data Science Data scientists and analysts in the UK looking to enhance their skills in causal inference and policy evaluation, with a focus on those working in government, academia, and private sector organizations, particularly in fields such as economics, politics, and public policy, where RCD is increasingly being used to inform decision-making and policy development, with approximately 70% of UK data science professionals reporting a need for training in causal inference and RCD.
Key Characteristics: Professionals with a strong foundation in statistics, mathematics, and data analysis, preferably with experience in machine learning, programming languages such as R or Python, and data visualization tools, with a keen interest in understanding the implications of causal inference for policy and decision-making, and a desire to stay up-to-date with the latest developments in RCD methodology and applications.
Career Goals: To gain a deeper understanding of RCD and its applications in real-world scenarios, to develop skills in designing and implementing RCD studies, to enhance career prospects in data science, policy evaluation, and causal inference, and to contribute to the development of evidence-based policies and decision-making processes in the UK and globally.