UDEMY 2021 - Data Science with Python – Beginners

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Learn how to use Python to create fascinating data visualizations.

You can find "Download Link" as a button at the end of this article.

What you’ll learn

  • Through this training we are going to learn how to use Python to create fascinating data visualizations.
  • Learn Data Visualization, Development Setup and Language Learning Bridge between Python and JS
  • Learn Data Visualization, Development Setup and Language Learning Bridge between Python and JS

  • Learn Reading and Writing Data with Python, Webdev 101 and Getting Data off the Web with Python
  • Learn Reading and Writing Data with Python, Webdev 101 and Getting Data off the Web with Python

  • Learn Heavyweight Scraping with Scrapy, Plotting and Visualization, and Data Aggregations and Group operations
  • Learn Financial and Economic Data Application
  • Requirements

  • Prior knowledge of basic Python will be useful but NOT necessary
  • No prior knowledge or experience needed. Only a passion to be successful
  • You’ll need a desktop computer or a laptop
  • Description

    1. Introduction to Data Visualization

    2. Development Setup

    3. Language Learning Bridge between Python and JS

    4. Reading and Writing Data with Python

    5. Webdev 101

    6. Getting Data off the Web with Python

    7. Heavyweight Scraping with Scrapy

    8. Plotting and Visualization

    9. Data Aggregations and Group operations

    10. Financial and Economic Data Application

    Who this course is for:

  • Business analysts
  • Data scientists
  • Anybody interested in data science and visualization
  • Software developers or programmers who want to transition into the lucrative data science and machine learning career path will learn a lot from this course.
  • This course is for you if you like exciting challenges
  • Created by EDU CBALast updated 12/2018EnglishEnglish [Auto-generated]

    Size: 1.30 GB

    Download File Here

    https://www.udemy.com/educba-data-science-with-python/.

    TinyURL for this post: https://tinyurl.com/yywo9huj

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