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.
Python Project for Data Science
Python Project for Data Science
This course is part of multiple programs.
Instructors: Azim Hirjani
Access provided by Vellore Institute Of Technology
304,477 already enrolled
Gain insight into a topic and learn the fundamentals.
4.5
(4,805 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
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
2 assignments
Taught in English
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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
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
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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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Learner reviews
4.5
4,805 reviews
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Showing 3 of 4805
OO
4
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.
AC
5
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.
ZA
4
Reviewed on Jul 25, 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.
