Career Advancement Programme in Data Analysis for Digital Journalism
-- viewing nowData Analysis for Digital Journalism is a data analysis programme designed for digital journalists to enhance their skills in extracting insights from data. This programme is ideal for digital journalists who want to analyze data to inform their storytelling and improve their reporting.
3,727+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
About this course
Through this programme, learners will gain hands-on experience in data analysis tools and techniques, including data visualization, statistical analysis, and data mining. They will also learn how to extract insights from data to support their reporting and storytelling.
Our programme is perfect for those who want to upskill in data analysis and take their digital journalism career to the next level. Join us to explore the world of data analysis and discover new ways to tell stories with data.
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course details
• Data Visualization Tools: Learn to effectively communicate insights using popular data visualization tools like Tableau, Power BI, or D3.js, essential for digital journalists to present complex data in an engaging manner.
• Statistical Analysis: Develop a strong foundation in statistical analysis, including hypothesis testing, confidence intervals, and regression analysis, to extract meaningful insights from data and support journalistic storytelling.
• Data Wrangling: Master data wrangling techniques to clean, preprocess, and manipulate data for analysis, ensuring accuracy and reliability in data-driven journalism.
• Machine Learning: Explore the application of machine learning algorithms in data analysis, including supervised and unsupervised learning, to uncover patterns and trends in large datasets.
• Data Storytelling: Learn to craft compelling data-driven stories, using narrative techniques and visualizations to convey complex information in an accessible and engaging way.
• SQL and Database Management: Develop skills in SQL and database management to extract, manipulate, and analyze data from various sources, including relational databases and NoSQL databases.
• Data Mining: Apply data mining techniques to discover hidden patterns and relationships in large datasets, enabling digital journalists to uncover new insights and perspectives.
• Communication and Presentation: Develop effective communication and presentation skills to convey complex data insights to diverse audiences, including non-technical stakeholders and readers.
• Ethics and Best Practices: Understand the ethical considerations and best practices in data analysis for digital journalism, including data protection, privacy, and transparency.
• Statistical Analysis: Develop a strong foundation in statistical analysis, including hypothesis testing, confidence intervals, and regression analysis, to extract meaningful insights from data and support journalistic storytelling.
• Data Wrangling: Master data wrangling techniques to clean, preprocess, and manipulate data for analysis, ensuring accuracy and reliability in data-driven journalism.
• Machine Learning: Explore the application of machine learning algorithms in data analysis, including supervised and unsupervised learning, to uncover patterns and trends in large datasets.
• Data Storytelling: Learn to craft compelling data-driven stories, using narrative techniques and visualizations to convey complex information in an accessible and engaging way.
• SQL and Database Management: Develop skills in SQL and database management to extract, manipulate, and analyze data from various sources, including relational databases and NoSQL databases.
• Data Mining: Apply data mining techniques to discover hidden patterns and relationships in large datasets, enabling digital journalists to uncover new insights and perspectives.
• Communication and Presentation: Develop effective communication and presentation skills to convey complex data insights to diverse audiences, including non-technical stakeholders and readers.
• Ethics and Best Practices: Understand the ethical considerations and best practices in data analysis for digital journalism, including data protection, privacy, and transparency.
Career path
| **Data Analysis** | A data analyst collects, organizes, and analyzes data to help organizations make informed business decisions. In digital journalism, data analysts work with editors and reporters to identify trends and patterns in data. |
|---|---|
| **Data Visualization** | A data visualization specialist creates interactive and dynamic visualizations to communicate complex data insights to various audiences. In digital journalism, data visualization specialists work with reporters and editors to create engaging and informative graphics. |
| **Business Intelligence** | A business intelligence analyst uses data analysis and reporting to help organizations make data-driven decisions. In digital journalism, business intelligence analysts work with editors and reporters to identify trends and patterns in data. |
| **Data Science** | A data scientist applies advanced statistical and machine learning techniques to extract insights from large datasets. In digital journalism, data scientists work with reporters and editors to identify trends and patterns in data. |
| **Data Engineering** | A data engineer designs and builds large-scale data systems to support data analysis and reporting. In digital journalism, data engineers work with reporters and editors to ensure data is accurately and efficiently collected and stored. |
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Debug: False
Skills you'll gain
Data Interpretation
Statistical Analysis
Digital Journalism
Data Visualization
Course fee
MOST POPULAR
Fast Track
GBP £149
Complete in 1 month
Accelerated Learning Path
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
Standard Mode
GBP £99
Complete in 2 months
Flexible Learning Pace
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
What's included in both plans:
- Full course access
- Digital certificate
- Course materials
All-Inclusive Pricing • No hidden fees or additional costs
Get course information
Earn a career certificate
CAREER ADVANCEMENT PROGRAMME IN DATA ANALYSIS FOR DIGITAL JOURNALISM
is awarded to
Learner Name
who has completed a programme at
London School of Planning and Management (LSPM)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
