1 days
Duration
Free
Free
Unknown
Tuition fee
Anytime
Unknown
Apply date
Anytime
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Start date

About

Join the Python Data Science Toolbox (Part 2) course at Data Camp and continue to build your modern Data Science skills by learning about iterators and list comprehensions.

Visit the official programme website for more information

Overview

Join over 9 million learners and start Python Data Science Toolbox (Part 2)  today!

In this Python Data Science Toolbox (Part 2) course at Data Camp , you'll continue to build your Python data science skills. First, you'll learn about iterators, objects you have already encountered in the context of for loops. You'll then learn about list comprehensions, which are extremely handy tools for all data scientists working in Python. You'll end the course by working through a case study in which you'll apply all the techniques you learned in both parts of this course.

Programme Structure

Chapters include:

  • Using iterators in PythonLand 
  • List comprehensions and generators
  • Bringing it all together!

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Tuition Fee

To alway see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.
  • Basic Access: Free
    • Premium (for individuals): $5.75/month billed annually
    • Teams (for teams of 2 and up): $5.75 per user /month billed annually
    • Enterprise: Contact sales for pricing

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Python Data Science Toolbox (Part 2)
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Data Camp

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