Python Project for Data Science
This mini-course is intended to for you to demonstrate foundational Python skills for working with data. This course primarily involves completing a project in which you will assume the role of a Data Scientist or a Data Analyst and be provided with a real-world data set and a real-world inspired scenario to identify patterns and trends. You will perform specific data science and data analytics tasks such as extracting data, web scraping, visualizing data and creating a dashboard.
Monthly Subscription Starting at AED 99 + VAT
- Level Professional
- Duration 9 hours
- Course by IBM
-
Offered by
About
This mini-course is intended to for you to demonstrate foundational Python skills for working with data. This course primarily involves completing a project in which you will assume the role of a Data Scientist or a Data Analyst and be provided with a real-world data set and a real-world inspired scenario to identify patterns and trends. You will perform specific data science and data analytics tasks such as extracting data, web scraping, visualizing data and creating a dashboard. This project will showcase your proficiency with Python and using libraries such as Pandas and Beautiful Soup within a Jupyter Notebook. Upon completion you will have an impressive project to add to your job portfolio. PRE-REQUISITE: **Python for Data Science, AI and Development** course from IBM is a pre-requisite for this project course. Please ensure that before taking this course you have either completed the Python for Data Science, AI and Development course from IBM or have equivalent proficiency in working with Python and data. NOTE: This course is not intended to teach you Python and does not have too much instructional content. It is intended for you to apply prior Python knowledge.Modules
Welcome
-
1
Readings
1
Readings
- Course Introduction
Optional: Intro to WebScraping
-
2
Videos
-
1
Readings
-
1
ExternalTool
1
External Tool
- Intro to Web Scraping Using BeautifulSoup
2
Videos
- HTML for Webscraping
- Webscraping
1
Readings
- Intro to Web Scraping
Final Project: Analyzing Stock Performance and Building a Dashboard
-
5
Readings
-
2
Quiz
-
1
PeerReview
-
4
ExternalTool
-
4
Plugin
4
External Tool
- Extracting Stock Data Using a Python Library
- Extracting Stock Data Using Web Scraping
- Hands-on Lab: Analyzing Historical Stock/Revenue Data and Building a Dashboard
- (Optional)Obtain IBM Cloud Feature Code and Activate Trial Account
1
Peer Review
- Analyzing Historical Stock/Revenue Data and Building a Dashboard
5
Readings
- Project Overview
- Stock shares
- Optional: Gamestop stock vs Tesla
- (Optional)Jupyter Notebook to complete your final project
- (Optional)Hands-on Lab: Analyzing Historical Stock/Revenue Data and Building a Dashboard
2
Quiz
- Extracting Stock Data Using a Python Library
- Extracting Stock Data Using a Web Scraping
Next Steps
-
1
Readings
1
Readings
- Next Steps
Auto Summary
Enhance your data science skills with the "Python Project for Data Science" course, tailored for aspiring Data Scientists and Analysts. Led by Coursera, this professional-level course centers on a hands-on project utilizing real-world data sets. You'll extract data, perform web scraping, visualize data, and create dashboards using Python, Pandas, and Beautiful Soup in Jupyter Notebook. With a prerequisite of IBM's Python for Data Science course, this 540-minute project-based course is ideal for those looking to showcase their Python proficiency in their job portfolio. Available via a Starter subscription.
Azim Hirjani
Joseph Santarcangelo