Big Data Fundamentals with PySpark

Starting at USD 39.00
4 hours duration

Learn the fundamentals of working with big data with PySpark.

Big Data has gained significant attention in recent years and has now become a mainstream concept for many companies. This course aims to provide a comprehensive understanding of Big Data through the use of PySpark. PySpark is a high-performance cluster computing framework designed specifically for handling large-scale data. It offers a versatile data processing platform that enables programs to run up to 100 times faster in memory or 10 times faster on disk compared to Hadoop. Throughout this course, you will learn how to utilize PySpark, a Python package for Spark programming, along with its powerful libraries such as SparkSQL and MLlib. These libraries enable advanced data analysis techniques, including machine learning, making it possible to extract valuable insights from complex datasets. To apply these concepts, you will work on various practical examples, including analyzing the works of William Shakespeare, examining Fifa 2018 data, and performing clustering on genomic datasets. By the end of this course, you will have developed a deep understanding of PySpark and its practical application in conducting comprehensive analysis of Big Data.

About Provider

DataCamp
DataCamp
Online Education Provider ยท 410 courses
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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