Brief Introduction
Explore different social listening tools and discover advanced social media analytics.Course Summary
Learn to listen to data and derive insights from it with this comprehensive course. Gain skills in data analysis, visualization and storytelling to make data-driven decisions.Key Learning Points
- Understand the importance of data and how it can be used to drive decision making
- Learn to analyze and visualize data using popular tools like Excel and Tableau
- Develop skills in storytelling with data to effectively communicate insights
- Gain an understanding of ethical considerations in data analysis and usage
Related Topics for further study
Learning Outcomes
- Develop skills in data analysis and visualization using Excel and Tableau
- Understand how to use data to make informed decisions
- Learn to effectively communicate insights through storytelling with data
Prerequisites or good to have knowledge before taking this course
- Basic understanding of statistics and mathematics
- Familiarity with Excel and Tableau
Course Difficulty Level
IntermediateCourse Format
- Online Course
- Self-paced
- Video Lectures
- Interactive Quizzes
- Peer-reviewed Assignments
Similar Courses
- Data Science Essentials
- Data Analytics for Business
Related Education Paths
Related Books
Requirements
- This course is for professionals looking to advance their careers and learn more about social media and digital media analytics.
Knowledge
- Advanced methods to extract and analyze data from social mediaIntroduction to API’sAPI marketing strategiesAdvantages and disadvantages of using API’s to extract and use dataMobile marketingTypes of mobile marketing strategiesThe future of mobile marketing
Summary of User Reviews
Key Aspect Users Liked About This Course
The course provides a great introduction to data analysis and is suitable for beginnersPros from User Reviews
- Easy to follow and understand, even for those with no prior knowledge of data analysis.
- The course covers a wide range of topics in data analysis, including data visualization, statistical analysis, and machine learning.
- The instructors are knowledgeable and engaging, and the course materials are well-organized.
- The course is free and self-paced, making it accessible to anyone with an internet connection.
- The course provides practical examples and exercises to apply the concepts learned.
Cons from User Reviews
- Some users found the course too basic and would have liked more advanced topics.
- Some users found the course too time-consuming and would have preferred a shorter version.
- Some users experienced technical difficulties with the platform and had trouble accessing the course materials.
- The course does not offer any certification or credential upon completion.
- Some users would have liked more interaction with other learners or instructors.
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