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lab challengeData Science with Python - Advanced Concepts
Advanced
1h
31
5/5
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Mission
Data Science with Python - Advanced Concepts
Lab description

Description

In this Hands-on lab, you will be challenged on your knowledge on Python for Data Science, in particular on three important aspects: Programming, Data Management and Visualization. Here, we will mainly focus on three Python linbraries: Pandas and Matplotlib. Those are indeed the fundamentals library to perform data analysis, management and visualization using Python.

Before starting this lab, you are strongly encouraged to take the following courses:

Your data manipulation and visualization 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
  • Senior Data Scientists
  • Python Backend Developers
What will be assessed
  • Manipulate data using Pandas
  • Build a structured application using Python
  • Create an enriched plot using Matplotlib
  • Map a Python Dictionary into a Pandas DataFrame's column
  • Join two (or more) DataFrames
  • Multiple aggregation using Pandas
About the author
Avatar
Andrea Giussani
Data Scientist
Students
4077
Labs
13
Courses
8
Learning Paths
5

Andrea is a Data Scientist at Cloud Academy. He is passionate about statistical modeling and machine learning algorithms, especially for solving business tasks.

He holds a PhD in Statistics, and he has published in several peer-reviewed academic journals. He is also the author of the book Applied Machine Learning with Python.

Covered topics