Course Summary
This course is the capstone project for the Applied Data Science specialization. In this course, students will work on a real-life data science project from start to finish, using all the skills learned in the previous courses of the specialization.Key Learning Points
- Learn how to work on a real-life data science project from start to finish
- Apply all the skills learned in the previous courses of the specialization
- Develop a portfolio of data science projects to showcase to potential employers
Related Topics for further study
Learning Outcomes
- Develop a portfolio of data science projects
- Apply machine learning algorithms to real-world datasets
- Present data insights and recommendations to stakeholders
Prerequisites or good to have knowledge before taking this course
- Completion of previous courses in the Applied Data Science specialization
- Familiarity with Python programming
Course Difficulty Level
AdvancedCourse Format
- Online
- Self-paced
- Project-based
Similar Courses
- Data Science Essentials
- Data Science Methodology
- Applied Machine Learning
Related Education Paths
- IBM Data Science Professional Certificate
- IBM Applied AI Professional Certificate
- IBM AI Engineering Professional Certificate
Notable People in This Field
- Kirk Borne
- Hilary Mason
- DJ Patil
Related Books
Description
This capstone project course will give you a taste of what data scientists go through in real life when working with data.
Outline
- Introduction
- Project Scenario and Overview
- Data Collection Overview
- Data Wrangling Overview
- Course Introduction
- Check Points: Data Collection API
- Graded Quiz: Data Collection API with Webscraping
- Check Points: Data Wrangling
- Graded Quiz: Data Wrangling Quiz
- Exploratory Data Analysis (EDA)
- Exploratory Data Analysis Overview
- Check Points: Exploratory Analysis Using SQL
- Exploratory Data Analysis using SQL
- Check Points: Complete the EDA with Visualization
- Exploratory Data Analysis
- Interactive Visual Analytics and Dashboard
- Interactive Visual Analytics and Dashboards
- Check Points: Interactive Visual Analytics and Dashboard
- Graded Quiz: Interactive Visual Analytics and Dashboard
- Predictive Analysis (Classification)
- Predictive Analysis Overview
- Check Points: Predictive Analysis
- Graded Quiz: Predictive Analysisis
- Present Your Data-Driven Insights
- Elements Of A Successful Data Findings Report
- Best Practices For Presenting Your Findings
- Credits and Acknowledgments
- Copyrights and Trademarks
Summary of User Reviews
The Applied Data Science Capstone course on Coursera has received positive reviews from users. Many users have praised the course for its real-world projects that help them apply what they have learned. The overall rating of the course is high.Key Aspect Users Liked About This Course
The course has real-world projects that help users apply what they have learned.Pros from User Reviews
- The course provides hands-on experience with real-world data analysis projects.
- The instructors are knowledgeable and provide clear explanations.
- The course covers a wide range of topics in data science, including machine learning and data visualization.
Cons from User Reviews
- The course can be challenging for beginners with no prior experience in data science.
- The course requires a significant time commitment.
- Some users have reported technical issues with the course platform.
Joseph Santarcangelo
4.7 Raiting
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