50 Hours of Big Data, PySpark, AWS, Scala and Scraping
50 Hours of Big Data, PySpark, AWS, Scala and Scraping
Welcome to our 50-hour course on Big Data, PySpark, AWS, Scala, and Scraping! This course is designed to give you a comprehensive understanding of these technologies and how they can be used to process and analyze large amounts of data.
Udemy Coupon Codes -- > 50 Hours of Big Data, PySpark, AWS, Scala and Scraping
Here is what you can expect to learn in this course:
- Big Data: You will learn about the concept of Big Data and how it is used to process and analyze large amounts of data. You will also learn about the different types of data sources, such as structured, unstructured, and semi-structured, and how to handle them.
- PySpark: PySpark is a powerful tool for working with Big Data. In this course, you will learn how to use PySpark to perform data manipulation, data analysis, and machine learning on large datasets.
- AWS: Amazon Web Services (AWS) is a popular cloud computing platform that offers a range of services for storing and processing Big Data. You will learn how to use AWS services such as Amazon S3, Amazon EMR, and Amazon Redshift to manage and analyze your data.
- Scala: Scala is a programming language that is commonly used in Big Data applications. In this course, you will learn the basics of Scala and how to use it with PYSPARK and AWS.
- Scraping: Web scraping is a technique for extracting data from websites. You will learn how to use Python and PySpark to scrape data from the web and how to handle the data once it has been extracted.
Throughout the course, you will work on practical projects and exercises to apply what you have learned. By the end of the course, you will have the skills and knowledge you need to work with Big Data, PySpark, AWS, Scala, and scraping in a professional setting.
We hope you enjoy this course and find it useful in your journey to become a Big Data professional!
