Certificate in Data-Driven Communication for Engineering Problem Solvers
-- viewing nowThe Certificate in Data-Driven Communication for Engineering Problem Solvers is a focused course designed to empower engineering professionals with the skills to communicate complex data insights effectively. This certification bridges the gap between technical expertise and compelling communication, a critical skill in today's data-driven world.
6,396+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
About this course
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 Collection and Analysis: This unit covers the fundamentals of data collection, cleaning, and analysis using tools such as Excel, Python, or R. It will help engineering problem solvers to gather accurate data and prepare it for further analysis. • Statistical Methods for Data Analysis: In this unit, students will learn about various statistical methods used to analyze data, including descriptive and inferential statistics, probability distributions, and hypothesis testing. • Data Visualization for Engineering Communication: This unit covers the basics of data visualization, including chart types, color theory, and design principles. Students will learn how to create effective visualizations that communicate complex data insights to technical and non-technical audiences. • Machine Learning for Engineering Problem Solving: This unit introduces machine learning techniques, including regression, classification, clustering, and neural networks, and how they can be used to solve engineering problems. • Data Storytelling: This unit covers the principles of data storytelling, including how to identify compelling stories in data, how to structure a data story, and how to present data stories to different audiences. • Data Ethics and Security: In this unit, students will learn about the ethical considerations of data collection, analysis, and communication. They will also learn about data security best practices to ensure data is protected throughout the process. • Advanced Data Analysis Techniques: This unit covers advanced data analysis techniques, such as time series analysis, survival analysis, and multivariate analysis. Students will learn how to apply these techniques to solve complex engineering problems. • Data-Driven Decision Making: This unit covers the principles of data-driven decision making, including how to use data to inform decisions, how to evaluate the effectiveness of decisions, and how to communicate data insights to stakeholders.
Career Path
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
Course fee
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
- Full course access
- Digital certificate
- Course materials
Get course information
Earn a career certificate