Advanced Certificate in Data Journalism for Data Science
Wednesday, 19 August 2026 12:43:36
International applicants and their qualifications are accepted
Overview
Overview
Data Journalism for Data Science
is an advanced certificate program designed for professionals and enthusiasts alike who want to harness the power of data analysis in journalism.Data-driven storytelling is the core objective of this program, equipping learners with the skills to extract insights from complex data sets and present them in an engaging manner.
Through a combination of theoretical knowledge and practical exercises, participants will learn to work with various data visualization tools, statistical software, and programming languages such as Python and R.
Effective communication of findings is also a crucial aspect of this program, teaching learners how to distill complex data into actionable recommendations for news organizations and policymakers.
If you're passionate about using data to tell compelling stories and drive meaningful change, explore the Advanced Certificate in Data Journalism for Data Science today and discover a new way to tell the news.
Content updated: 22 August 2025
Data Journalism for Data Science is an advanced certificate program that empowers students to extract insights from complex data sets. By combining data journalism techniques with data science tools, participants gain a unique edge in the industry. The course features interactive workshops and real-world projects that help students develop practical skills in data visualization, statistical analysis, and data storytelling. With this certificate, students can expect enhanced career prospects in data journalism, research, and analytics. Upon completion, participants will be equipped to analyze and present data-driven stories, making them attractive to top media outlets and organizations.
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
- Data Wrangling for Data Journalism
- Data Visualization for Storytelling
- Statistical Analysis for Data-Driven Journalism
- Machine Learning for Predictive Journalism
- Natural Language Processing for Text Analysis
- Data Mining for Investigative Journalism
- Big Data and NoSQL Databases
- Data Ethics and Privacy in Journalism
- Data Storytelling with Interactive Tools
- Data Journalism and the Media Landscape
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:
2 months (Standard mode): £90
1 month (Fast-track mode) - £140
2 months (Standard mode) - £90
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.Start Now
- Start this course anytime from anywhere.
- 1. Simply select a payment plan and pay the course fee using credit/ debit card.
- 2. Course starts
- Start Now
Got questions? Get in touch
Chat with us: Click the live chat button
Key facts about Advanced Certificate in Data Journalism for Data Science
This program focuses on teaching students how to collect, analyze, and visualize data using various tools and techniques, including data mining, machine learning, and data visualization.
Upon completion of the program, students will have gained the following learning outcomes: the ability to design and implement data-driven projects, the skill to work with big data, and the knowledge to communicate complex data insights effectively to various audiences.
The duration of the Advanced Certificate in Data Journalism for Data Science is typically 6-12 months, depending on the institution and the student's prior experience.
The program is highly relevant to the data science industry, as it provides students with the skills necessary to extract insights from large datasets and communicate them effectively through data-driven storytelling.
Many organizations, including news outlets, research institutions, and private companies, are looking for professionals who can collect, analyze, and visualize data to inform business decisions or tell compelling stories.
The Advanced Certificate in Data Journalism for Data Science is an excellent choice for anyone interested in pursuing a career in data science, journalism, or a related field.
By combining the skills of data journalism and data science, this program provides students with a unique perspective on how to extract insights from large datasets and communicate them effectively to various audiences.
Graduates of the Advanced Certificate in Data Journalism for Data Science can expect to find employment opportunities in a variety of industries, including news, research, and business.
Why this course?
| Statistic | Percentage |
|---|---|
| UK Journalists working in data journalism | 75% |
| UK Journalists holding a degree in a related field | 60% |
| Expected annual growth rate of data journalists | 10% |
Who should enrol in Advanced Certificate in Data Journalism for Data Science?
| Data Journalist | Ideal Candidate |
| Professionally trained in data science and journalism | Typically has a degree in journalism, data science, or a related field |
| Familiarity with data analysis tools and techniques | Has experience with data visualization tools like Tableau, Power BI, or D3.js |
| Strong understanding of data storytelling principles | Can effectively communicate complex data insights to diverse audiences |
| Familiarity with UK-specific data journalism regulations | Understands the importance of data protection and freedom of information laws in the UK |
| Ability to work under tight deadlines | Can manage multiple projects simultaneously and meet tight publication deadlines |