What is the course like?

This 50-hour course covers Big Data, PySpark, AWS, Scala, and web scraping. PySpark, a Python-Apache Spark integration, will be the primary focus, teaching you data analysis from the ground up. You'll learn end-to-end workflows with PySpark, from cleaning data to building features and implementing machine learning models. The course includes practical explanations and live coding with PySpark, covering streaming data processing, machine learning applications, batch data handling, ETL pipelines, and full load and ongoing replication. You will also learn web scraping using Selenium and Scrapy, along with the use of CSS selectors. Basic understanding of HTML tags, Python, SQL, and Node.js is required, but no prior knowledge of data scraping and Scala is needed.

You'll gain

• The introduction and importance of Big Data, understanding its impact and applications across various industries.
• Practical explanations and hands-on live coding sessions with PySpark, demonstrating how to process and analyze large datasets efficiently.

You'll learn

• Streaming Data
• Machine Learning
• Batch Data
• ETL pipelines
• Full Load and replication on going
• Selenium
• Scrapy
• CSS Selectors

Great for

• Individuals with a basic understanding of HTML tags, Python, SQL, and Node.js
• Those with basic programming skills
• Learners with a willingness to learn and practice
• No prior knowledge of data scraping and Scala needed

You'll need

• You should have basic understanding of HTML tags
• Python, SQL and Node JS No prior knowledge of data scraping and Scala is needed
• You must have basic understanding of programming
• You must have a willingness to learn and practice