A Blended Learning Course
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Effectively check and installing of Spark dependencies.
Define PySpark and check the PySpark Package by running a program.
Define transformations and actions to effectively extract information and retrieve results.
Create a base RDD and perform a count() action to view counts of Dataset independently.
Introduce RDD partitions and define the functions and customization features of RDD partitions.
This comprehensive Coaching Course: 0 to 1: Spark for Data Science with Python curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Coaching Course: 0 to 1: Spark for Data Science with Python course:
This course is perfect for:
Everything you need to know about this online course, from duration to certification
Course Instructor
DioPACT Learning
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
View Current Pricing
Check provider for latest offers
Pricing may vary. Check the course provider for current promotions and exact pricing.
Coaching Course: 0 to 1: Spark for Data Science with Python isn't for you? Don't worry, explore these courses and advance your skills or learn something totally new.
