Study from IN: Affordable fees for Indian learners with flexible payment plans.
Fees (INR): £175
Recognised prior learning accepted for Indian applicants.
Saturday, 12 September 2026 05:51:52
International applicants and their qualifications are accepted
The Extended Professional Certificate in Data Science is tailored for professionals looking to enhance their data analysis skills quickly. Delivered 100% online by LSIB, this intensive one-month course offers a focused pathway to mastering essential data science techniques. Enrol now to gain the analytical edge you need in today’s data-driven landscape.
The Extended Professional Certificate in Data Science is designed for professionals seeking to enhance their skills in data analysis and interpretation. This course provides an intensive learning experience that equips learners with the tools and techniques necessary to work effectively with large datasets using state-of-the-art technologies like Python, R, and SQL. By the end of the program, participants will have a solid understanding of statistical modeling, machine learning algorithms, and advanced data visualization methods.
Content updated: 24 August 2026
Learn the fundamentals of data science and machine learning. By completing this course, you will be able to:
- Analyze complex datasets using Python, R, and SQL.
- Implement statistical models for predictive analytics.
- Develop machine learning algorithms for real-world problems.
- Create compelling visualizations to communicate insights effectively.
- Apply ethical principles in data science practices.
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.
The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.
30 to 40% Cheaper than most Universities and Colleges
The programme is available in two duration modes:
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Upon completion of the Extended Professional Certificate in Data Science, graduates can explore a wide range of career paths within the data science industry. From roles such as Data Analyst and Machine Learning Engineer to more specialized positions like Data Scientist or Business Intelligence Developer, there are numerous opportunities available for skilled professionals.
The Extended Professional Certificate in Data Science is a highly practical program offered by the London School of International Business. It covers essential topics such as machine learning, statistics, and data visualization.
- Award: Diploma
- Duration: 1 month (Fast-track) / 2 months (Standard)
- Fee: £175 / £150
- Online/flexible study: Yes
- 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.
- Credits: Not applicable
- Study benefits: Comprehensive course materials, 24/7 access, and expert support.
The Extended Professional Certificate in Data Science offers a unique opportunity for professionals looking to advance their careers in the data-driven economy. The rapid growth of data science has created an urgent need for skilled practitioners who can extract valuable insights from large datasets. According to recent reports, demand for data scientists is projected to increase by over 13% annually, driving significant job creation and career opportunities across various sectors.
| Year | Estimated UK learners |
|---|---|
| 2026 | 120,000 |
| 2027 | 140,000 |
This course is ideal for individuals with a background in computer science, mathematics, statistics, or related fields who wish to expand their skill set into data science. It is also suitable for working professionals seeking to transition into a career involving the analysis and interpretation of big data.
- Degree holders in Computer Science, Mathematics, Statistics, etc.
- Professionals looking to enter the field of data science
- Working individuals with some experience who want to enhance their current skill set
- Learners aiming to apply ethical principles in data handling practices
