Lab Challenge

Data Science with Python - Advanced Concepts

Push your skills to the next level in a live environment

Lab Steps

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Data Science with Python - Advanced Concepts
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Difficulty

Advanced

Time Limit

1h

Students

7

Ratings
5/5
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About Lab Challenges

Lab challenges are hands-on labs with the gloves off. You jump into an auto-provisioned cloud environment and are given a goal to accomplish. No instructions, no hints. To pass, you'll have a limited time to demonstrate your problem-solving skills and get the checks that inspect the state of your lab environment.

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Challenge 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.

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

Intended audience

  • Senior Data Scientists
  • Python Backend Developers

Prerequisites

  • Python
  • Pandas
  • Matplotlib
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About the Author
Students1109
Labs10
Courses7
Learning paths1

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.