PySpark for Data Scientists
PySpark for Data Scientists
Updated on Jul, 2024
Language - English
Lectures -14
Duration -4.5 hours
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Course Description
"PySpark for Data Scientists," a comprehensive course designed to provide you with the essential knowledge and skills needed to harness the power of PySpark for big data analytics. Throughout this program, you will explore a wide range of concepts, algorithms, and practical applications, focusing on the core principles of distributed data processing and large-scale data analysis.
This course covers crucial topics, including the skills required for data science and understanding PySpark and its applications. You will delve into data manipulation techniques, gain hands-on experience with data handling and transformation, and implement various PySpark functionalities.
What Will Students Learn in This Course?
Foundations of PySpark: Gain a solid understanding of fundamental PySpark concepts and principles.
Data Manipulation Techniques: Explore key data manipulation techniques such as data frames, RDDs, and SQL queries in PySpark.
Distributed Data Processing: Learn techniques for distributed data processing and optimization.
Data Preparation: Understand and implement strategies for data cleaning and transformation.
Goals
Tailored for aspiring data scientists and data engineering enthusiasts, this course aims to enhance your proficiency in applying PySpark techniques effectively. You will learn to implement foundational algorithms, build and optimize data processing pipelines, and utilize distributed computing strategies to extract meaningful insights from large datasets.
Prerequisites
Basic Understanding of Python Programming: This includes familiarity with libraries such as NumPy and Pandas.
Knowledge of Data Science Fundamentals: Understanding of data manipulation, exploratory data analysis, and basic machine learning concepts.
Familiarity with Big Data Concepts: Basic knowledge of big data concepts and distributed computing is beneficial but not required.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction to Big Data
2 Lectures
-
BIG DATA HISTORY PART 1
27:57
27:57
-
BIG DATA HISTORY PART 2
19:48
19:48
Introduction tp RDD and Spark
9 Lectures
Data Frame & Sparke shell
3 Lectures
Instructor Details
GreyCampus Inc.
About me
GreyCampus helps people power their careers through skills and certifications. We believe continuous upskilling and certifications is key to sustained success in your career. While older skills are fast becoming less relevant, need for newer in-demand skills is growing exponentially. We believe if you stay skilled, you will stay ahead.
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