Harnessing the Power Of Data: Introduction to Data-Driven Decision-Making
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Brief Introduction
Have the chance to learn how to assess and critique data sources and information to help you make informed business decisions.Course Summary
Learn how to harness the power of data with this comprehensive course. Understand the basics of data analysis and visualization, and explore advanced techniques such as machine learning and predictive modeling.Key Learning Points
- Acquire fundamental knowledge on data analysis and visualization
- Explore advanced techniques such as machine learning and predictive modeling
- Learn how to effectively communicate insights from data to stakeholders
Related Topics for further study
Learning Outcomes
- Understand the basics of data analysis and visualization
- Apply advanced techniques such as machine learning and predictive modeling
- Effectively communicate insights from data to stakeholders
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of statistics and programming
- Access to software for data analysis and visualization
Course Difficulty Level
IntermediateCourse Format
- Online self-paced course
- Video lectures
- Interactive assignments and quizzes
- Peer-to-peer discussion forums
Similar Courses
- Data Science Essentials
- Python for Data Science
- Data Visualization with Tableau
Related Education Paths
Notable People in This Field
- Kirk Borne
- Hilary Mason
- DJ Patil
Related Books
Requirements
- This course is suitable for junior and middle managers seeking the opportunity to improve their understanding of data in order to help to potentially progress in their careers. It will also prove useful for entrepreneurs looking for the chance to equip themselves with a range of skills to run a business. This course is applicable across a variety of roles, sectors, and geographies. This is the introductory two-week course for the program in , which forms part of the online degree at Coventry University, delivered on FutureLearn.
Knowledge
- What is data, information and knowledge?Why data management is important in business analyticsInput, processing and outputData analysis techniquesThe differences between qualitative and quantitative dataKey factors to consider when preparing quantitative or qualitative data for analysisThe principles behind measurement and statistical analysisManaging and presenting dataEnhancing management decision-making in the digital firm
Summary of User Reviews
Discover the potential of data with this comprehensive course. Students rave about the engaging content and practical applications.Pros from User Reviews
- Practical applications
- Expert instructors
- In-depth coverage
- Challenging assignments
Cons from User Reviews
- Requires some prior knowledge
- May be too technical for beginners
- Limited interaction with instructors
- No hands-on projects
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