lab challenge
Data Science with Python - Basic Concepts
Difficulty: Intermediate
Duration: Up to 1 hour and 30 minutes
Students: 171
Rating: 5/5
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Description
In this Lab, you will be challenged on your knowledge of Python for Data Science, in particular on three important aspects: Programming, Data Management, and Visualization. The idea is to test your ability to deal with standard data science requests.
Before starting this lab, you are strongly encouraged to take the following courses:
- Data Wrangling with Pandas.
- Data Visualisation with Python using Matplotlib.
- Interactive Data Visualization with Python using Bokeh.
- Python Programming.
Your data science skills will be challenged, and by the end of this lab, you should have a deep understanding of how Python is used in Data Science.
Prerequisites
- Python
- Pandas
- Matplotlib
Intended audience
- Data Scientists
- Data Engineers
- Python Backend Developers
What will be assessed
- manipulate data using Pandas
- build simple Data Science application using Python
- create a plot using Matplotlib
- join two (or more) DataFrames
- transform data using Pandas
Covered topics
Mission
Data Science with Python - Basic Concepts