Streamlined Data Ingestion with pandas

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Before you can analyze the data, you need to first acquire it. This course will show you how to build pipelines to import data from common storage formats. Pandas, a Python library specializing in analytics, can be used to extract data. This can include spreadsheets of survey responses that are linked to a database of public service requests. Learn how to modify imports and fix problems such as incorrect data types. Learn how to create custom data sets from various sources.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Intermediate Python

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Introduction to SQL

What You Will Learn

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Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs

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Along the way, you’ll learn how to fine-tune imports to get only what you need and to address issues like incorrect data types

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You’ll assemble a custom dataset from a mix of sources

Course Instructors

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Amany Mahfouz

Data scientist via spatial analytics and geography.

A geographer by training, Amany drifted into data science via spatial analytics. These days, they spend a lot of time thinking about how best to structure data and streamline acquisition processes fo...

Course Reviews

Average Rating Based on 3 reviews

5.0

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Course Cover

$12

$6

49% OFF

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