Course Summary
This course offers a comprehensive guide to the data science methodology, including data collection, analysis, and visualization techniques. Students will gain hands-on experience through real-life case studies and projects.Key Learning Points
- Learn the full data science methodology from data collection to visualization
- Work on real-life case studies and projects to gain practical experience
- Understand the importance of asking the right questions and communicating findings effectively
Related Topics for further study
Learning Outcomes
- Ability to apply the full data science methodology to real-life problems
- Experience with popular data collection and analysis tools
- Improved communication and presentation skills
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of statistics and programming
- Access to a computer with internet connection
Course Difficulty Level
IntermediateCourse Format
- Online self-paced course
- Video lectures
- Real-life case studies and projects
Similar Courses
- Applied Data Science with Python
- Data Science Essentials
Related Education Paths
Notable People in This Field
- Principal Data Scientist at Booz Allen Hamilton
- Founder and CEO of Fast Forward Labs
Related Books
Description
Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand.
Outline
- From Problem to Approach and From Requirements to Collection
- Welcome
- Business Understanding
- Analytic Approach
- Data Requirements
- Data Collection
- Syllabus
- Lesson Summary
- Lesson Summary
- From Problem to Approach
- From Requirements to Collection
- From Understanding to Preparation and From Modeling to Evaluation
- Data Understanding
- Data Preparation - Concepts
- Data Preparation - Case Study
- Modeling - Concepts
- Modeling - Case Study
- Evaluation
- Correction
- Lesson Summary
- Lesson Summary
- From Understanding to Preparation
- From Modeling to Evaluation
- From Deployment to Feedback
- Deployment
- Feedback
- Course Summary
- Lesson Summary
- IBM Digital Badge
- From Deployment to Feedback
- Final Exam
Alex Aklson
4.6 Raiting
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