Udemy – 50 Hours of Big Data, PySpark, AWS, Scala and Scraping 2021-11

Udemy – 50 Hours of Big Data, PySpark, AWS, Scala and Scraping 2021-11 Downloadly IRSpace

Apr 17, 2025 - 11:34 Updated: Apr 20, 2025 - 21:36

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Udemy – 50 Hours of Big Data, PySpark, AWS, Scala and Scraping 2021-11

50 Hours of Big Data, PySpark, AWS, Scala and Scraping, The course content is designed in a way which is Simple to follow and understand, expressive, exhaustiv, practical with live coding, replete with quizzes, rich with state-of-the-art and up-to-date knowledge of this field. It’s true that Scala is not among the most-loved coding languages but don’t let this minor discomfort bother you. Scala is doubtless one of the most in-demand skills for data scientists and data engineers. And the reason for this is not far to seek: The supply of professionals with Scala skills is a long way from catching up with the demand.

The hottest buzzwords in the Big Data analytics industry are Python and Apache Spark. PySpark supports the collaboration of Python and Apache Spark. In this course, you’ll start right from the basics and proceed to the advanced levels of data analysis. From cleaning data to building features and implementing machine learning (ML) models, you’ll learn how to execute end-to-end workflows using PySpark. Data scraping is the technique of extracting data from the internet. Data scraping is used for getting the data available on different websites and APIs. This also involves automating the web flows for extracting the data from different web pages. This course is designed for beginners. We’ll spend sufficient time to lay a solid groundwork for newbies. Then, we will go far deep gradually with a lot of practical implementations where every step will be explained in detail.

What you’ll learn

Introduction and importance of this course in this day and age
Approach all essential concepts from the beginning
Clear unfolding of concepts with examples in Python,Scrapy, Scala, PySpark and MongoDB
All theoretical explanations followed by practical implementations
Data Scraping & Data Mining for Beginners to Pro with Python
Master Big Data with Scala and Spark
Master Big Data With PySpark and AWS
Mastering MongoDB for Beginners
Building your own AI applications

Who this course is for

People who are absolute beginners.
People who want to make smart solutions.
People who want to learn with real data.
People who love to learn theory and then implement it practically.
Data Scientists, Machine learning experts and Drop Shippers.

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

Publisher : Udemy
Teacher : AI Sciences , AI Sciences Team
Language : English
Level : All Levels
Number of Course : 617
Duration : 54 hours and 37 minutes

Content 2023-6

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

Requirements

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

Udemy – 50 Hours of Big Data, PySpark, AWS, Scala and Scraping 2021-11