Course HighlightsCOURSE
Python for Data Science Project

Python for Data Science Project

Python for Data Science Project Highlights

Course enrollment

Starts on

15 June 2021

Enrollment closes on
31 December 2022

  Course Fee

Fee

US$29 - US$59

Course enrollment

Starts on

15 June 2021

Enrollment closes on
31 December 2022

Course Fee

Fee

US$29 - US$59

About This Course

This mini-course will help you demonstrate foundational Python skills for working with data. The completion of this course involves working on a hands-on project where you will develop a simple dashboard using Python.

This course is part of the IBM Data Science Professional Certificate and the IBM Data Analytics Professional Certificate.

Requirements

Python for Data Science Project 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.

What You Will Learn

The objective of this course is to provide you with hands on experience with using Python for Data Science and Data Analysis.

In this course you will:


• Create a dashboard that shows key performance indicators from a specific data set.
• Demonstrate your skills for working with Python and Data.

Course Syllabus

Module 1 - Crowdsourcing Short squeeze Dashboard


• Introduction to Webscraping
• HTML for Webscraping
• Webscraping
• Final Project: Analyzing Stock Performance and Building a Dashboard

Course Staff

Course Staff Image #1

Azim Hirjani

Cognitive Data Scientist at IBM

Course Staff Image #2

Joseph Santarcangelo

Ph.D., Data Scientist at IBM

Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.

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.

Python for Data Science Project

FAQs

Yes, Python is emerging as a data science leader. This is because it is:

1. Easy to learn: Python has a shorter learning curve than other data science languages like R, and it outperforms the competition by pushing an easy-to-understand syntax.

2. Scalability: When compared to other languages, Python has established a lead by emerging as a scalable language that is also faster than Matlab and Stata.

3. Many libraries: The number of data science/data analytics libraries available to users is a significant driver for Python adoption.

Yes, the Python for Data Science Project is entirely online. You do not need to physically attend any classes.

This mini-course will assist you in demonstrating fundamental Python abilities working with data in a practical setting. You will work on a hands-on project in which you will construct a small dashboard in Python.

This course is a requirement for the IBM Data Science Professional Certificate as well as the IBM Data Analytics Professional Certificate, which are both offered by IBM.

Completing the separate Python for Data Science Project course from IBM is a pre-requisite for completing this project. 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 that you apply knowledge of Python that you have already gained when completing this project.

The objective of this course is to provide you with hands-on experience in using Python for data science and data analysis.

On completing this Python for Data Science Project course, you will be able to:

  • • Create a dashboard that shows key performance indicators from a specific data set.
  • • Demonstrate your skills in working with Python and Data.