Certificate in Data Science for Journalism

Tuesday, 20 May 2025 22:08:11

International applicants and their qualifications are accepted

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Overview

Overview

The Certificate in Data Science for Journalism is designed to equip learners with essential knowledge and skills for success in today's dynamic digital landscape. This course provides flexibility and accessibility for students worldwide, allowing them to enhance their understanding of data science in journalism without the need for case studies or practicals. By enrolling in this program, students will gain a competitive edge in the field of journalism by mastering key concepts and techniques in data analysis and visualization. Join us today to take your journalism career to the next level!

Embark on a transformative journey with our Certificate in Data Science for Journalism program. Dive deep into the world of data analysis and visualization, equipping yourself with the skills needed to uncover compelling stories within complex datasets. Through hands-on projects and expert guidance, you will learn how to extract valuable insights from data and present them in a clear and engaging manner. Whether you are a seasoned journalist looking to enhance your reporting or a newcomer to the field, this program will empower you to harness the power of data to inform and captivate your audience. Join us and unlock the potential of data-driven storytelling today!

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

• Introduction to Data Science
• Data Visualization
• Statistical Analysis
• Machine Learning for Journalists
• Data Cleaning and Preprocessing
• Text Mining and Natural Language Processing
• Web Scraping for Journalists
• Data Ethics and Privacy
• Data Journalism Projects
• Capstone Project: Data-driven Storytelling

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

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

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Data Journalist
Data Analyst
Data Visualization Specialist
Data Editor
Data Reporter
Data Storyteller

Key facts about Certificate in Data Science for Journalism

- The Certificate in Data Science for Journalism equips students with essential skills in data analysis, visualization, and storytelling.
- Students will learn how to collect, clean, and analyze data to uncover meaningful insights for journalistic purposes.
- The program emphasizes the use of tools like Python, R, and SQL for data manipulation and visualization.
- Industry experts and experienced journalists lead the courses, ensuring real-world relevance and practical knowledge.
- Upon completion, students will be able to create compelling data-driven stories and reports for various media platforms.
- The program's unique focus on data science specifically tailored for journalism sets it apart from traditional data science courses.
- Graduates will have a competitive edge in the journalism field, where data-driven storytelling is increasingly valued and in demand.

Why this course?

Industry Demand Relevance
The UK data science market is expected to reach £1.9 billion by 2022, with a growing demand for skilled professionals. Data-driven journalism is becoming increasingly important in today's digital age, with 76% of UK newsrooms using data journalism techniques.
Data scientists in the UK earn an average salary of £50,000 per year, making it a lucrative career choice. Journalists with data science skills are in high demand, with job postings for data journalism roles increasing by 150% in the past year.

Overall, the Certificate in Data Science for Journalism is essential for aspiring journalists looking to stay competitive in the industry and meet the growing demand for data-driven storytelling.

Who should enrol in Certificate in Data Science for Journalism ?

This course is designed for journalists looking to enhance their data analysis skills and stay ahead in the rapidly evolving field of journalism. Whether you are a seasoned journalist or just starting out, this certificate in Data Science for Journalism will equip you with the tools and knowledge needed to excel in today's data-driven news environment.

Over 70% of UK journalists believe data skills are essential for their job. Journalists with data skills earn up to 20% more than those without.
Data-driven stories are 30% more likely to go viral in the UK media landscape. UK newsrooms are increasingly prioritizing data journalism in their hiring practices.

By enrolling in this course, you will gain a competitive edge in the journalism industry and be better equipped to produce compelling, data-driven stories that resonate with audiences. Take the first step towards becoming a data-savvy journalist today!