Course HighlightsCOURSE
Python for Data Science Project

Python for Data Science Project

Assume the role of a data scientist to demonstrate foundational Python skills working with data. Gain practical experience developing a simple dashboard using Python.

Demonstrate your Python skills and enjoy some hands-on experience in this real-world project.

Python for Data Science Project Highlights

  Course duration

Duration

  • 2 weeks, online
    3-4 hours/week
  Course Fee

Fee

US$ 29 - US$ 59

Course duration

Duration

  • 2 weeks, online
    3-4 hours/week
Course Fee

Fee

US$ 29 - US$ 59

This mini-course is intended to be a follow-on to the Python for Data Science, AI & Development course. It provides you with the opportunity to demonstrate the basic Python skills you have acquired in that course.

This course is a hands-on project on Python. You will assume the role of a data scientist/data analyst. In this role you will be given a scenario and data to begin your Python project. During this process you will perform specific tasks such as extracting data, web scraping, visualizing data, and creating a dashboard. You will then submit your Python notebook and screenshots for your peers to review and evaluate your work.

To be successful in completing this project, you should have already completed the Python for Data Science, AI & Development course or have equivalent skills for working with Data and Python.

This project comprises two purposely designed modules that take you on a carefully defined learning path. If you are thinking about completing this project separately, it is worth noting that it is part of the IBM Data Science Professional Certificate Program and you may want to consider enrolling for the whole program rather than just enrolling for one course at a time. Also, we recommend that you have already completed the Python for Data Science, AI & Development course.

It is a self-paced project, which means it is not run to a fixed schedule with regard to completing modules or submitting assignments. To give you an idea of how long the project takes to complete, it is anticipated that if you work 3-4 hours per week, you will complete the course in 2 weeks. However, as long as the project is completed before the end date, you can work at your own pace.

The materials for the project will become available as soon as you enroll.

Once you have successfully completed the course, you will earn your IBM Certificate.

As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues. Depending on the payment plan you have chosen, you may also have access to live classes and webinars, which are an excellent opportunity to discuss problems with your mentor and ask questions. Mentoring services may vary package wise.

You will be able to:

  • Demonstrate your skills working with Python and data.
  • Demonstrate webscraping a specific data set.
  • Individuals who are keen to begin their career in data science.
  • Individuals looking to land their first data science job.
  • Experienced developers seeking to upskill, enhance their data science knowledge, and participate in projects.

    Completing the Python for Data Science, AI & Development course from IBM is a pre-requisite for this project. Plus, please ensure that before enrolling you have either completed the Python Basics for Data Science course from IBM or have equivalent proficiency in working with Python and data.

 

Course Outline

General Information
Syllabus
Grading Scheme
Learning Objectives
Intro to Web Scraping
Video: HTML for Webscraping (4:59)
Video: Webscraping (4:59)
Hands-on Lab: Intro to Web Scraping Using BeautifulSoup
Reading: Stock Shares
Hands-on Lab: Extracting Stock Data Using a Python Library
Graded Quiz: Extracting Stock Data Using a Python Library
Hands-on Lab : Extracting Stock Data Using Web Scraping
Quiz: Extracting Stock Data Using a Web Scraping
Reading: Tesla and GameStop Analytical Dashboard
Hands-on Lab: Create IBM Cloud account and Watson Studio instance
Jupyter Notebook to complete your final project
Hands-on Lab: Add notebook to Watson Studio
Hands-on Lab: Analyzing Historical Stock/Revenue Data and Building a Dashboard
Hands-on Lab: Share your notebook from Watson Studio
Peer Review: Analyse by Webscraping the IPL Data and Player Auction Data
Download your certificate
Course Certificate

Earn your certificate

Once you have completed this course, you will earn your certificate.

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Python for Data Science Project