Writing Efficient Code with pandas, Short Course | Part time online | Data Camp | United States
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Writing Efficient Code with pandas

1 days
Duration
Free
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Tuition fee
Anytime
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Apply date
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Start date

About

This Writing Efficient Code with pandas course at Data Camp will build on your knowledge of Python and the pandas library and introduce you to efficient built-in pandas functions to perform tasks faster.

Overview

Context

The ability to efficiently work with big datasets and extract valuable information is an indispensable tool for every aspiring data scientist. When working with a small amount of data, we often don’t realize how slow code execution can be.

 Pandas’ built-in functions allow you to tackle the simplest tasks, like targeting specific entries and features from the data, to the most complex tasks, like applying functions on groups of entries, much faster than Python's usual methods.

 By the end of this Writing Efficient Code with pandas course at Data Camp, you will be able to apply a function to data based on a feature value, iterate through big datasets rapidly, and manipulate data belonging to different groups efficiently. You will apply these methods on a variety of real-world datasets, such as poker hands or restaurant tips.

Programme Structure

Chapters

  • Selecting columns and rows efficiently
  • Replacing values in a DataFrame
  • Efficient iterating
  • Data manipulation using .groupby()

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 specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

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

Other requirements

General requirements

PREREQUISITES

  • Data Manipulation with pandas

Tuition Fee

To always 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): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing

Funding

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