Python Project for Data Science

Python Project for Data Science

This course is part of multiple programs.

Instructors: Azim Hirjani

Access provided by Coursera Learning Team

259,555 already enrolled

1 module

Gain insight into a topic and learn the fundamentals.

4.5

(4,559 reviews)

Intermediate level

Recommended experience

Flexible schedule

Approx. 8 hours

Learn at your own pace

90%

Most learners liked this course

1 module

Gain insight into a topic and learn the fundamentals.

4.5

(4,559 reviews)

Intermediate level

Recommended experience

Flexible schedule

Approx. 8 hours

Learn at your own pace

90%

Most learners liked this course

What you'll learn

Play the role of a Data Scientist / Data Analyst working on a real project.
Demonstrate your Skills in Python - the language of choice for Data Science and Data Analysis.
Apply Python fundamentals, Python data structures, and working with data in Python.
Build a dashboard using Python and libraries like Pandas, Beautiful Soup and Plotly using Jupyter notebook.

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

2 quizzes

Taught in English

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There is 1 module in this course

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.

In this module, you will demonstrate your skills in Python - the language of choice for Data Science and Data Analysis. You will apply Python fundamentals, Python data structures, and work with data in Python. By working on a real project, you will model a Data Scientist or Data Analyst's role, and build a dashboard using Python and popular Python libraries using Jupyter notebook.

What's included

2 videos8 readings2 quizzes1 peer review5 app items5 plugins

2 videosTotal 9 minutes

HTML for Webscraping4 minutesPreview module
Webscraping4 minutes

8 readingsTotal 93 minutes

Course Introduction5 minutes
Intro to Web Scraping 0 minutes
Project Overview5 minutes
Stock shares 10 minutes
Optional: Gamestop stock vs Tesla10 minutes
(Optional)Jupyter Notebook to complete your final project1 minute
(Optional)Hands-on Lab: Analyzing Historical Stock/Revenue Data and Building a Dashboard60 minutes
Next Steps2 minutes

2 quizzesTotal 30 minutes

Extracting Stock Data Using a Python Library15 minutes
Extracting Stock Data Using a Web Scraping15 minutes

1 peer reviewTotal 60 minutes

Analyzing Historical Stock/Revenue Data and Building a Dashboard60 minutes

5 app itemsTotal 285 minutes

Intro to Web Scraping Using BeautifulSoup60 minutes
Extracting Stock Data Using a Python Library60 minutes
Extracting Stock Data Using Web Scraping45 minutes
Hands-on Lab: Analyzing Historical Stock/Revenue Data and Building a Dashboard60 minutes
(Optional)Obtain IBM Cloud Feature Code and Activate Trial Account60 minutes

5 pluginsTotal 48 minutes

Web Scraping: A Key Tool in Data Science15 minutes
Reading: yfinance Library3 minutes
(Optional)Hands-on Lab: Create IBM Cloud account and watsonx.ai instance20 minutes
(Optional)Hands-on Lab: Add notebook to watsonx.ai5 minutes
(Optional)Hands-on Lab: Share your notebook from watsonx.ai5 minutes

Instructors

Instructor ratings

4.5 (1,161 ratings)

Azim Hirjani

IBM

1 Course259,555 learners

Offered by

IBM

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4.5

4,559 reviews

5 stars
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3 stars
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Showing 3 of 4559

Reviewed on Dec 31, 2022

Material Covered was very good and meaningful in developing knowledge and skills. Unfortunately a significant amount of time was required accessing the tools to complete the work.

Reviewed on Nov 30, 2021

It is the most applicable course on python anyone could participate in. I am glad I came across this amazing course. Kudos to the producers and thanks to every one on them.

Reviewed on Jul 26, 2023

Overall it's a good hands on python programming for web-scrapping. The project could have been more challenging but it is not. I hope the future versions of the project is more challenging.

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