4.5
stars
2,964 ratings

Azim Hirjani +1 more instructor

116,156 already enrolled

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Part of the Bachelor of Applied Arts and Sciences degree
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IBM Skills Network

About this Course

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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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

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Intermediate Level

You should have completed the prerequisite courses needed or have proficient knowledge in working with Python and Data.

Approx. 8 hours to complete

English

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What you will 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 will gain

Data Science
Python Programming
Data Analysis
Pandas
Jupyter notebooks

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Intermediate Level

You should have completed the prerequisite courses needed or have proficient knowledge in working with Python and Data.

Approx. 8 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

4.5/5 (785 Ratings)

Azim Hirjani

Cognitive Data Scientist

116,156 Learners

1 Course

Joseph Santarcangelo

Ph.D., Data Scientist at IBM

IBM Developer Skills Network

914,752 Learners

26 Courses

Offered by

IBM Skills Network

IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.

Start working towards your Bachelor's degree

This course is part of the 100% online Bachelor of Applied Arts and Sciences from IBM Skills Network. If you are admitted to the full program, your courses count towards your degree learning.

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Syllabus - What you will learn from this course

Content Rating91%(4,488 ratings)

Week1

Week 1

8 hours to complete

Crowdsourcing Short squeeze Dashboard

8 hours to complete

2 videos (Total 10 min), 8 readings, 8 quizzes

2 videos

HTML for Webscraping4mWebscraping4m

8 readings

Course Introduction5mIntro to Web Scraping Project Overview5mStock shares 10mOptional: Gamestop stock vs Tesla10m(Optional)Jupyter Notebook to complete your final project1m(Optional)Hands-on Lab: Analyzing Historical Stock/Revenue Data and Building a Dashboard1hNext Steps2m

2 practice exercises

Extracting Stock Data Using a Python Library15mExtracting Stock Data Using a Web Scraping15m

Reviews

4.5

559 reviews

5 stars
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4 stars
17.29%
3 stars
5.49%
2 stars
2.47%
1 star
3.45%

TOP REVIEWS FROM PYTHON PROJECT FOR DATA SCIENCE

by MOJun 2, 2022

Very helpul skills learned to access, read, parse and extrct web based data elements for reading into a Python data frame for further processing and visualization.

by XCMay 19, 2022

Very useful project and exercises included in this course. It teaches very well to students to really work from web scraping to data visualization with realistic use case

by YCFeb 20, 2023

Lab works became more challenging and difficult throughout end of the course. Some tasks I've spent more than week just to find out the mistake. It is quite challenging yet fulfilling at the same time

by NTApr 29, 2022

The assignment is quite easy, you just need to understand the code and rewrite the code to finish the final assignment

This is a very useful course to help us imagin basically what a DS do

View all reviews

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Python Project for Data Science

About this Course

What you will learn

Skills you will gain