Data Science Basic | Data Collection Techniques by Diljeet Singh | Learn Smarter
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Data Collection Techniques

Data collection is fundamental in data science, involving methods for acquiring information from various sources, including files and online platforms. Techniques such as reading data from CSV, Excel, and APIs are crucial, along with web scraping and database interactions. Understanding these methods equips individuals to handle and analyze data effectively.

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Sections

  • 4

    Data Collection Techniques

    This section covers various methods for data collection, highlighting both offline and online sources, including file formats and APIs.

    Learning Practice

  • 4.1

    Description

    Learning

  • 4.2

    Learning Objectives

    This section outlines the key learning objectives for data collection techniques in data science.

    Learning Practice

  • 4.3

    Types Of Data Sources

    This section classifies data sources into offline and online categories, highlighting their types and examples.

    Learning Practice

  • 4.3.1

    Offline Sources

    This section discusses various offline sources for data collection, including Excel and CSV files, and databases.

    Learning Practice

  • 4.3.2

    Online Sources

    Online data sources are crucial for accessing live information through APIs, web scraping, and cloud storage.

    Learning Practice

  • 4.4

    Reading Data Files Using Pandas

    This section discusses how to read different types of data files using the Pandas library in Python.

    Learning Practice

  • 4.5

    Accessing Apis

    This section covers how to access and interact with APIs using Python to collect live data.

    Learning Practice

  • 4.6

    Web Scraping Basics

    This section introduces web scraping, a technique used to extract data from websites when APIs are not available.

    Learning Practice

  • 4.7

    Working With Databases

    This section covers how to work with databases using SQLite, including connecting to a database and executing SQL queries.

    Learning Practice

  • 4.8

    Chapter Summary

    This section summarizes the key points of data collection techniques covered throughout Chapter 4.

    Learning Practice

References

Chapter 4_ Data Collection Techniques.pdf

Class Notes

Memorization

What we have learnt

  • Data can be collected from ...
  • Pandas simplifies reading d...
  • APIs provide real-time, str...

Final Test

Revision Tests