Explanation
50 hours of Big Data, PySpark, AWS, Scala and Scratch, The course is designed in an easy to follow and understand way, demonstration, complete, practical with live coding, filled with questions, rich state-of-the-art and modern knowledge in this field. It is true that Scala is not one of the most popular coding languages but don’t let this small problem bother you. Scala is undoubtedly one of the most needed skills for data scientists and data engineers. And the reason for this is not far to seek: The supply of professionals with Scala skills goes a long way to keeping up with demand.
The hottest words in the data analytics industry are Python and Apache Spark. PySpark supports interoperability between Python and Apache Spark. In this course, you’ll start right from the basics and move 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 scraping is the technique of extracting data from the Internet. Data scraping is used to access data from various websites and APIs. This also involves automating web browsing to extract data from different web pages. This course is for beginners. We will spend enough time to lay a solid foundation for newbies. Then, we will go deeper and step by step using many practical activities and each step will be explained in detail.
What will you learn?
- Introduction and relevance of this course in this day and age
- Almost all the important ideas in the beginning
- Clear concepts with examples of Python, Scrapy, Scala, PySpark and MongoDB
- All theoretical explanations followed by practical implementation
- Data Mining & Data Mining from Beginner to Pro in 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 is this course for?
- People who have started completely.
- People who want to make smart solutions.
- People who want to learn with real data.
- People who like to learn theory and then implement it in practice.
- Data Scientists, Machine Learning Experts and Importers.
50 hour tutorial on Big Data, PySpark, AWS, Scala and Scratch
Content 2023-6
Requirements
- Basic understanding of HTML tags. Python, SQL and Node JS
- No prior knowledge of data scraping and Scala is required. You start right away with the basics and then gradually build your knowledge of the subject.
- Basic understanding of programming.
- Willingness to learn and practice.
- Since we learn by doing, then practicing is a must.
Pictures
Sample Clip
Installation Guide
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Subtitle: English
Quality: 720p
Download Links
Password file: free download software
file size
21.21 GB