Python Project for Data Science

IBM via Coursera

Go to Course: https://www.coursera.org/learn/python-project-for-data-science

Introduction

### Course Review: Python Project for Data Science If you are looking to enhance your data science skills with a practical, hands-on approach, the **Python Project for Data Science** course on Coursera is an excellent choice. This mini-course is designed to solidify your foundational Python skills specifically for data-related tasks and applications. #### Course Overview The **Python Project for Data Science** offers a unique opportunity to immerse yourself in the role of a Data Scientist or Data Analyst. The course is centered around a real-world inspired project where you will work with a provided dataset to identify patterns and trends. You will perform essential data science tasks, including data extraction, web scraping, visualization, and dashboard creation. ### Syllabus Breakdown The primary focus of this course revolves around building a **Crowdsourcing Short Squeeze Dashboard**. Here's a glimpse into what you can expect from the course content: - **Module Overview**: The course kicks off by welcoming you into the world of Python, which is the prevalent programming language in the arena of data science and analytics. It emphasizes foundational Python skills and data structures, ensuring you have a firm grasp of essential concepts. - **Hands-On Project**: You will engage with a real project that simulates the responsibilities of a Data Scientist or Data Analyst. This practical approach allows you to apply what you’ve learned while working with actual data. - **Dashboard Creation**: A significant aspect of the course is the construction of a dashboard using Python and popular libraries within a Jupyter Notebook environment. This not only enhances your technical skills but also trains you in presenting data visually, an essential capability for any data professional. ### Learning Experience The format of the course is particularly user-friendly for learners at various stages. Whether you are a beginner eager to learn the ropes or someone with some exposure to Python and data science looking to refine your skills, this course provides valuable insight and practical experience. The engaging content is complemented by instructional videos, hands-on assignments, and helpful resources that guide you through each step of the project. The course structure encourages not just learning but also practicing and applying your newfound knowledge directly to the project. ### Recommendation I highly recommend the **Python Project for Data Science** course to anyone eager to delve into the world of data science. The project-centered approach helps to energize your learning experience, making it not just informative but also enjoyable. Moreover, being able to add a real-world project to your portfolio can be an excellent talking point during interviews or discussions with potential employers. The skills you will acquire are not only applicable to academic projects but also invaluable in professional settings. In conclusion, if you are ready to take your Python skills to the next level and engage with data in meaningful ways, this Coursera course is a promising path forward. Don't miss the chance to build your confidence and competence in the exciting field of Data Science!

Syllabus

Crowdsourcing Short squeeze Dashboard

In this module, you will demonstrate your skills in Python - the language of choice for Data Science and Data Analysis. You will apply Python fundamentals, Python data structures, and work with data in Python. By working on a real project, you will model a Data Scientist or Data Analyst's role, and build a dashboard using Python and popular Python libraries using Jupyter notebook.

Overview

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

Skills

Data Science Data Analysis Python Programming Pandas Jupyter notebooks

Reviews

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

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.

It was cool to work on an interesting project and familiarize myself with web scraping. The labs and final were challenging, but that made it rewarding when it worked out.

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.

Had a few issues with my IBM Cloud account and adding the Jupyter notebook but the help\response was great so was resolved quickly.\n\nGreat material that can defintely be applied to work experiences.