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Applied Data Science Capstone

Approx. 10 hours to complete

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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

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

Advanced

Course Format

Online
Self-paced
Project-based

Similar Courses

Data Science Essentials
Data Science Methodology
Applied Machine Learning

Related Education Paths

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.

You will learn about location data and different location data providers, such as Foursquare. You will learn how to make RESTful API calls to the Foursquare API to retrieve data about venues in different neighborhoods around the world. You will also learn how to be creative in situations where data are not readily available by scraping web data and parsing HTML code. You will utilize Python and its pandas library to manipulate data, which will help you refine your skills for exploring and analyzing data. Finally, you will be required to use the Folium library to great maps of geospatial data and to communicate your results and findings. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.

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.

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