Download 50 Hours of Big Data, PySpark, AWS, Scala and Scraping

50 Hours of Big Data, PySpark, AWS, Scala and Scraping

Description

50 Hours of Big Data, PySpark, AWS, Scala and Scraping, Big Data, PySpark, AWS, Scala and Scraping course is published by Udemy Academy. The content of this course is designed in such a way that it is easy to follow and understand, clear, comprehensive, practical with live coding, full of questions and answers, rich in advanced and up-to-date knowledge of this field. It’s true that Scala isn’t one of the most popular coding languages ​​out there, but don’t let that minor inconvenience bother you. Scala is undoubtedly one of the most sought-after skills for data scientists and data engineers. And the reason for this is not so far-fetched: the demand for professionals with Scala skills is high. The hottest technologies in the big data analysis industry are Python and Apache Spark. PySpark supports Python and Apache Spark collaboration. In this course, you’ll start with the basics and progress to advanced levels of data analysis.

From cleaning data to building features and implementing machine learning (ML) models, you’ll learn how to implement end-to-end workflows using PySpark. Data mining is the technique of extracting data from the Internet. DataScrip is used to retrieve data from various websites and APIs. It also includes automating web streams to extract data from various web pages. This course is designed for beginners. We will spend enough time to create a solid foundation for newcomers. Then we gradually proceed with many practical projects in which each step will be explained in detail.

What you will learn

  • Introduction and importance of this lesson in today’s era
  • Familiarize yourself with all the essential concepts from scratch
  • Clarification of concepts with examples in Python, Scrapy, Scala, PySpark and MongoDB
  • All theoretical explanations followed by practical implementations
  • Data Scraping and data mining for beginners to professionals with Python
  • Proficiency in Big Data with Scala and Spark
  • Proficiency in Big Data with PySpark and AWS
  • Mastering MongoDB for Beginners
  • Building your own artificial intelligence applications

Who is this course suitable for?

  • People who are absolute beginners.
  • People who want to build smart solutions.
  • People who want to be trained with real data.
  • People who love to learn theory and then put it into practice.
  • Data Scientists, Machine Learning Specialists and Drop Shippers

Details of the course 50 Hours of Big Data, PySpark, AWS, Scala and Scraping

  • Publisher: Udemy
  • teacher : AI Sciences , AI Sciences Team
  • English language
  • Education level: all levels
  • Number of courses: 617
  • Training duration: 54 hours and 37 minutes

At the beginning of the seasons of 2023-6

Course prerequisites

  • Basic understanding of HTML tags. Python, SQL and Node JS
  • No prior knowledge of data scraping and Scala is needed. You start right from the basics and then gradually build your knowledge of the subject.
  • Basic understanding of programming.
  • A willingness to learn and practice.
  • Since we teach by practical implementations, so practice is a must thing to do

Pictures

50 Hours of Big Data, PySpark, AWS, Scala and Scraping

Sample video

Installation guide

After Extract, view with your favorite Player.

English subtitle

Quality: 720p

download link

Download part 1 – 4 GB

Download part 2 – 4 GB

Download part 3-4 GB

Download part 4 – 4 GB

Download part 5 – 4 GB

Download part 6 – 1.21 GB

File(s) password: www.downloadly.ir

Size

21.21 GB

4.9/5 – (603 points)

Be the first to comment

Leave a Reply

Your email address will not be published.


*