Intro to Analytic Thinking, Data Science, and Data Mining
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Course Summary
This course provides an introduction to analytic thinking, data science, and data mining. It covers the fundamental concepts and techniques used in these fields and their application in solving real-world problems.Key Learning Points
- Learn the basics of analytic thinking, data science, and data mining
- Understand the different techniques and tools used in these fields
- Apply these concepts and techniques to real-world problems
Related Topics for further study
Learning Outcomes
- Ability to apply analytic thinking to real-world problems
- Familiarity with data science and data mining techniques
- Ability to use various tools and techniques for data analysis
Prerequisites or good to have knowledge before taking this course
- Basic computer skills
- Familiarity with programming concepts
Course Difficulty Level
BeginnerCourse Format
- Online
- Self-paced
- Video lectures
- Assignments
Similar Courses
- Data Science Essentials
- Data Mining
- Applied Data Science
Related Education Paths
Notable People in This Field
- Nate Silver
- Kirk Borne
- Hilary Mason
Related Books
Description
Welcome to Introduction to Analytic Thinking, Data Science, and Data Mining. In this course, we will begin with an exploration of the field and profession of data science with a focus on the skills and ethical considerations required when working with data. We will review the types of business problems data science can solve and discuss the application of the CRISP-DM process to data mining efforts. A brief overview of Descriptive, Predictive, and Prescriptive Analytics will be provided, and we will conclude the course with an exploratory activity to learn more about the tools and resources you might find in a data science toolkit.
Knowledge
- The knowledge and skills needed to work in the data science profession
- How data science is used to solve business problems
- The benefits of using the cross-industry standard process for data mining (CRISP-DM)
Outline
- Data Science: The Field and Profession
- Data Science: The Field and Profession
- Supplemental Resources
- Data Science in Business
- Ethical Considerations in Data Science
- Data Science in Business
- Supplemental Resources
- Modules 1 and 2
- Data Mining and an Overview of Data Analytics
- Data Mining and an Overview of Data Analytics
- Supplemental Resources
- Solving Problems with Data Science
- Data Science and Employee Retention
- Solving Problems with Data Science
- Supplemental Resources
- Modules 3 and 4
Summary of User Reviews
This course on Intro to Analytic Thinking, Data Science, and Data Mining has received positive reviews from users. Many have praised the course for its comprehensive and practical approach to data analysis.Key Aspect Users Liked About This Course
Comprehensive and practical approach to data analysisPros from User Reviews
- In-depth coverage of data analysis concepts and techniques
- Practical exercises and real-world case studies
- Engaging and knowledgeable instructors
- Flexible schedule and self-paced learning
- Opportunity to earn a certificate of completion
Cons from User Reviews
- Some users found the course to be too basic or introductory
- Limited interaction with instructors and other students
- Lack of hands-on experience with data analysis tools
- Occasional technical issues with the online platform
- No job placement or career services offered
Dursun Delen
4 Raiting
Intro to Analytic Thinking, Data Science, and Data Mining
- 4
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Welcome to Introduction to Analytic Thinking, Data Science, and Data Mining. Data Science: The Field and Profession Data Science: The Field and Profession...
