Python Project for Data Science

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Python Project for Data Science

This course is part of multiple programs.

Instructors: Azim Hirjani +1 more

323,988 already enrolled

Included with

2 modules

Gain insight into a topic and learn the fundamentals.

4,872 reviews

Intermediate level

Recommended experience

Flexible schedule

7 hours to complete

Learn at your own pace

91%

Most learners liked this course

2 modules

Gain insight into a topic and learn the fundamentals.

4,872 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.

Skills you'll gain

Category: Data Science
Category: Data Visualization Software
Category: Data Presentation
Category: Data Analysis
Category: Web Scraping
Category: Data Processing
Category: Analytical Skills
Category: Data Collection
Category: Matplotlib

Tools you'll learn

Category: Jupyter
Category: Python Programming
Category: Pandas (Python Package)
Category: Dashboard

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 videos4 readings2 assignments3 app items3 plugins

2 videosTotal 10 minutes

HTML for Webscraping5 minutes
Webscraping5 minutes

4 readingsTotal 15 minutes

Course Introduction5 minutes
Pre-requsite Web Scraping 0 minutes
Stock shares 5 minutes
Optional: Gamestop stock vs Tesla5 minutes

2 assignmentsTotal 30 minutes

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

3 app itemsTotal 165 minutes

Intro to Web Scraping Using BeautifulSoup60 minutes
Extracting Stock Data Using a Python Library60 minutes
Extracting Stock Data Using Web Scraping45 minutes

3 pluginsTotal 13 minutes

Reading: Web Scraping - A Key Tool in Data Science5 minutes
Reading: Web Scraping Tables using Pandas5 minutes
Reading: yfinance Library3 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

3 readings1 peer review2 app items1 plugin

3 readingsTotal 9 minutes

Project Overview5 minutes
Congratulations & Next Steps2 minutes
Thanks from the Course Team2 minutes

1 peer reviewTotal 60 minutes

Option 2: Peer Graded - Final Project Submission and Evaluation60 minutes

2 app itemsTotal 120 minutes

Option 1: AI Graded - Final Project: Submission and Evaluation60 minutes
Hands-on Lab: Analyzing Historical Stock/Revenue Data and Building a Dashboard60 minutes

1 pluginTotal 2 minutes

Reading: Final Submission Guidelines and Deliverables2 minutes

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Instructors

Instructor ratings

(1,236 ratings)

Azim Hirjani

IBM

1 Course323,988 learners

Offered by

IBM

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Showing 3 of 4872

Reviewed on Sep 13, 2022

It 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.

Reviewed on Jun 11, 2021

From this level, I feel it started getting difficult and a few challenges. However, I have learned something from this course, good to practice and see how much fundamental knowledge that I learned.

Reviewed on Jun 7, 2023

This course is a good checkpoint to evaluate our understanding of the previous courses. The assignment had some challenges, but after revising the materials, it was successfully completed. Thank you.

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.