VOOZH about

URL: https://www.coursera.org/learn/python-project-for-data-science

⇱ Python Project for Data Science | Coursera

Python Project for Data Science

Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.

Python Project for Data Science

This course is part of multiple programs.

331,590 already enrolled

Included with

Ask Coursera

Gain insight into a topic and learn the fundamentals.
4.5

4,891 reviews

Intermediate level

Recommended experience

Flexible schedule
7 hours to complete
Learn at your own pace
91%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.5

4,891 reviews

Intermediate level

Recommended experience

Flexible schedule
7 hours to complete
Learn at your own pace
91%
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.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

2 assignments

Taught in English

Build your subject-matter expertise

This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 2 modules 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’ll get started with the course and build foundational skills in data collection using Python. You’ll explore the basics of web scraping, learn how to work with HTML content, and practice extracting data both through Python libraries and web scraping techniques. You will then apply your skills in a guided practice project focused on extracting stock data from various sources.

What's included

2 videos6 readings2 assignments3 app items

2 videos•Total 10 minutes
  • HTML for Webscraping•5 minutes
  • Webscraping•5 minutes
6 readings•Total 41 minutes
  • Course Introduction•5 minutes
  • Web Scraping: A Key Tool in Data Science•8 minutes
  • Web Scraping Tables using Pandas•8 minutes
  • Stock shares •5 minutes
  • The yfinance Python library•5 minutes
  • Optional: Gamestop stock vs Tesla•10 minutes
2 assignments•Total 35 minutes
  • Extracting Stock Data Using a Python Library•20 minutes
  • Extracting Stock Data Using a Web Scraping•15 minutes
3 app items•Total 165 minutes
  • Intro to Web Scraping Using BeautifulSoup•60 minutes
  • Extracting Stock Data Using a Python Library•60 minutes
  • Extracting Stock Data Using Web Scraping•45 minutes

This module focuses on acquiring and interpreting stock market information. Learners will practice extracting key stock data from datasets and visualizing it using graphs. By the end of the module, they will understand how to analyze stock trends and make data-driven decisions based on visual insights.

What's included

4 readings1 peer review2 app items

4 readings•Total 11 minutes
  • Project Overview•5 minutes
  • Final Submission Guidelines and Deliverables•2 minutes
  • Congratulations & Next Steps•2 minutes
  • Thanks from the Course Team•2 minutes
1 peer review•Total 60 minutes
  • Option 2: Peer Graded - Final Project Submission and Evaluation•60 minutes
2 app items•Total 120 minutes
  • Hands-on Lab: Analyzing Historical Stock/Revenue Data and Building a Dashboard•60 minutes
  • Option 1: AI Graded - Final Project: Submission and Evaluation•60 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Instructor ratings
4.5 (1,238 ratings)
IBM
1 Course•331,590 learners

Offered by

Explore more from Data Analysis

Why people choose Coursera for their career

👁 Image

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
👁 Image

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
👁 Image

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
👁 Image

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

  • 5 stars

    71.74%

  • 4 stars

    16.57%

  • 3 stars

    5.72%

  • 2 stars

    2.53%

  • 1 star

    3.43%

Showing 3 of 4891

OO
·

Reviewed on Sep 13, 2022

I​t was a great and informative course. I just hope further editions on this course can be a bit more detailed escpecially in explaining terms in the labs. Thank you for a well -put-together course.

AC
·

Reviewed on Mar 10, 2021

I think the course is quite good. I helps me to put what I've learnt previously into practice and web scraping is a quite useful skill at work or do something for your own need.

K
·

Reviewed on Aug 9, 2023

this was really a nice course and i feel like i am on the right path to become a data scientist. this course was easily explained with hands on practice and i understood it very easily

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Financial aid available,