Brief Introduction
Discover big data: work with airline data to learn the fundamentals of the R platform.Course Summary
Learn the fundamentals of data science and analysis with this online course. Explore key concepts, tools, and techniques used by professionals in the field.Key Learning Points
- Understand the basics of data science and its applications
- Use programming languages like Python and R to analyze data
- Learn how to visualize data and communicate insights effectively
Related Topics for further study
Learning Outcomes
- Apply data analysis techniques to real-world problems
- Create visualizations to communicate insights effectively
- Build predictive models using machine learning algorithms
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of programming concepts
- Familiarity with statistics and probability
Course Difficulty Level
IntermediateCourse Format
- Online Course
- Self-Paced
Similar Courses
- Applied Data Science with Python
- Data Science Essentials
- Data Analysis with R
Related Education Paths
Related Books
Requirements
- This course is for anyone who is interested in discovering more about data. Beginners in using R are welcome. Prior experience is not required.
Knowledge
- Download, install, and use the R platformImport data into R and visualize dataUse vectors and vectorized functions, including some of the tapply functionsManipulate data into desired formats, including cleaning and verifying dataPredict business performanceMake data-driven decisions about your industry
Summary of User Reviews
Discover the world of data science with this highly-rated course on FutureLearn. Users rave about the comprehensive curriculum and engaging instructors. One key aspect that many users found particularly impressive was the practical application of concepts through hands-on exercises and real-world examples.Pros from User Reviews
- Comprehensive curriculum covering all essential data science concepts
- Engaging and knowledgeable instructors who make complex topics easy to understand
- Practical application of concepts through hands-on exercises and real-world examples
- Flexible learning options to accommodate busy schedules
- Great community support and collaboration opportunities
Cons from User Reviews
- Some users found the course content to be too basic for their level of expertise
- Occasional technical glitches and bugs in the learning platform
- Lack of personalized feedback on assignments and projects
- Limited opportunities for networking and career development
- Some users found the course pace to be too slow or too fast
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