Python Project for Data Science
This mini-course is the perfect opportunity to demonstrate your foundational Python skills for working with data. You will assume the role of a Data Scientist or Data Analyst and be provided with a real-world data set and scenario to identify patterns and trends. You will use libraries such as Pandas and Beautiful Soup within a Jupyter Notebook to extract data, web scrape, visualize data and create a dashboard. 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 must for this project course. Don't miss out on this chance to showcase your Python proficiency and take your data science skills to the next level! ▼
ADVERTISEMENT
Course Feature
Cost:
Free
Provider:
Coursera
Certificate:
Paid Certification
Language:
English
Course Overview
❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [August 13th, 2023]
Skills and Knowledge Acquired:
This course will provide students with the opportunity to acquire and develop a range of skills and knowledge related to Python and data science. Students will gain experience in extracting data, web scraping, visualizing data, and creating a dashboard. They will also become proficient in using libraries such as Pandas and Beautiful Soup within a Jupyter Notebook. Upon completion, students will have a portfolio-ready project to showcase their Python and data science skills.
Contribution to Professional Growth:
This course provides an opportunity for professional growth by allowing participants to demonstrate their foundational Python skills for working with data. Through the project, participants will gain experience in extracting data, web scraping, visualizing data, and creating a dashboard. Upon completion, participants will have a portfolio-ready project to showcase their proficiency with Python and data science libraries such as Pandas and Beautiful Soup.
Suitability for Further Education:
This course is suitable for preparing further education. It provides an opportunity to demonstrate foundational Python skills for working with data, and to showcase proficiency with Python and using libraries such as Pandas and Beautiful Soup within a Jupyter Notebook. The project-based approach allows learners to apply their prior knowledge and gain valuable experience in data science and data analytics.
Course Provider
Provider Coursera's Stats at AZClass
Discussion and Reviews
0.0 (Based on 0 reviews)
Start your review of Python Project for Data Science