August 2021
Intermediate
12h 47m
English
Closed Captioning available in English
Overview
In this 12-hour course, you will learn Scala from the ground up and explore its conjunction with Spark to tackle big data projects effectively. Through hands-on projects, mini-projects, and practical implementations, this course provides a comprehensive guide to mastering these essential tools for data processing and analytics.
What I will be able to do after this course
- Understand and apply Scala variables, data types, and basic constructs.
- Develop proficiency in Scala functions and flow control mechanisms.
- Work with Scala's data structures, such as Lists, Maps, and Sets.
- Explore Spark's architecture and differentiate between Spark RDDs and DataFrames.
- Build a complete ETL pipeline using Spark from AWS S3 to AWS RDS.
Course Instructor(s)
AI Sciences, a dedicated provider of advanced AI and data analytics training, has designed this course. Their team consists of experienced professionals well-versed in Python, Scala, data science, and engineering. Known for their hands-on and methodical teaching approach, they emphasize real-world applications and project-driven learning.
Who is it for?
This course is perfect for entry-level learners or professionals transitioning into big data and analytics. It suits beginners interested in learning Spark and Scala for real-world applications. Data scientists and machine learning practitioners will also find this course crucial for building intelligent, efficient solutions.
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