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.

Informações sobre o curso
You should have completed the prerequisite courses needed or have proficient knowledge in working with Python and Data.
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Experimente o Coursera for BusinessO que você vai aprender
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.
Habilidades que você terá
- Data Science
- Python Programming
- Data Analysis
- Pandas
- Jupyter notebooks
You should have completed the prerequisite courses needed or have proficient knowledge in working with Python and Data.
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Comece a trabalhar rumo ao seu bacharelado
Programa - O que você aprenderá com este curso
Crowdsourcing Short squeeze Dashboard
Avaliações
- 5 stars71,57%
- 4 stars17,03%
- 3 stars5,43%
- 2 stars2,52%
- 1 star3,42%
Principais avaliações do PYTHON PROJECT FOR DATA SCIENCE
Really good course. It thoroughly teaches data scrapping from web and also focouses on many functions of pandas and IBM eatson studio. Overall a must have!
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
The course was quite good, but there were problems with nbformat in the final assignment. Plenty of complaints can be found in the discussion channel.
For a short course, I really feel like I can take something valuable away from this. Producing visual graphs makes me very optimistic for further progress.
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