lab challenge

Data Science with Python - Advanced Concepts

Advanced
1h
76
3.6/5
Get challenged in a real environmentProve your skills in a real-world, provisioned environment.
Push your limitsComplete an unguided mission within the time limit.
See resultsTest your problem-solving skills and track your progress.
Lab description

Description

In this Hands-on lab, you will be challenged on your knowledge of Python for Data Science, particularly on three important aspects: Programming, Data Management, and Visualization. Here, we will mainly focus on three Python libraries: Pandas, Bokeh, and Matplotlib. Those are indeed the fundamental libraries 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
5,738
Labs
13
Courses
8
Learning paths
6

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
Mission
Data Science with Python - Advanced Concepts