Python for Data Science – e-learning with Skillsoft

Learn how Python is used for data analysis, data processing and visualization, and build practical skills with key libraries such as NumPy, Pandas and Seaborn.

Register interest

Python for Data Science is an e-learning bundle from Skillsoft for those who want to use Python when working with data. The bundle combines courses, hands-on exercises and skills assessments, and covers key tools and methods in modern data analysis.

You learn how to work with data in NumPy and Pandas, create visualizations with Seaborn and Matplotlib, and use Python tools such as Anaconda and Altair, among other things. The bundle also includes a larger learning path in data wrangling and a dedicated Data Science Sandbox where you can practice hands-on in a live lab environment.

What do you get out of the e-learning bundle?

Through the e-learning bundle, you can, among other things:

  • Use Python for data analysis and data processing
  • Work with arrays and multi-dimensional data in NumPy
  • Analyze and manipulate data with Pandas
  • Work with DataFrames
  • Clean, structure and transform datasets
  • Visualize data with Pandas and Seaborn
  • Work with time series and different types of visualizations
  • Develop practical skills in data wrangling
  • Test your knowledge with Skill Benchmarks
  • Practice in a hands-on Data Science Sandbox environment

Who is the bundle for?

The bundle is for you if you want to use Python in data science, analysis and data processing.

It is particularly relevant for:

  • Data analysts
  • Data scientists
  • Developers
  • Technical consultants
  • IT professionals
  • Anyone who wants to develop practical skills in Python and data analysis

Prerequisites

No formal prerequisites are specified for the bundle.

The content is available at introductory and advanced levels. It is an advantage to have some basic familiarity with Python before moving on to the more advanced parts of the bundle.

Course content

NumPy

  • Python – Introduction to NumPy for Multi-dimensional Data
  • Python – Advanced Operations with NumPy Arrays

Pandas

  • Python – Introduction to Pandas and DataFrames
  • Python – Manipulating & Analyzing Data in Pandas DataFrames
  • Python – Pandas Advanced Features
  • Python – Using Pandas for Visualizations and Time-Series Data

Data visualization with Seaborn

  • Python for Data Science: Basic Data Visualization Using Seaborn
  • Python for Data Science: Advanced Data Visualization Using Seaborn

Data wrangling

  • Data Wrangling in Python Bootcamp: Session 1 Replay
  • Data Wrangling in Python Bootcamp: Session 2 Replay
  • Data Wrangling in Python Bootcamp: Session 3 Replay

Hands-on training

The Data Science Sandbox provides access to a live lab environment where you can practice your skills and work hands-on with tools and datasets.

Skill Benchmarks

The bundle contains skills assessments at different levels in the following areas, among others:

  • Data Analysis with Python
  • Data Visualization with Python
  • Data Visualization in Python with Seaborn

The benchmarks cover introductory, advanced and expert levels and can be used to assess existing skills and areas you can develop further.