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Data Science: Sparklyr Basics for Beginners

Perfect introduction to physical sciences for beginners starting their learning journey.

Online Course
Self-paced learning
Flexible Schedule
Learn at your pace
Expert Instructor
Industry professional
Certificate
Upon completion
What You'll Learn
Get started with physical sciences from absolute basics
Understand core concepts and terminology
Master the fundamentals of physical sciences
Apply best practices and industry standards

Skills you'll gain:

Professional SkillsBest PracticesIndustry Standards
Prerequisites & Target Audience

Skill Level

BeginnerPerfect for those new to the subject

Requirements

No prior experience required
Basic computer literacy
Willingness to learn and practice
Access to a computer with internet connection

Who This Course Is For

Anyone interested in learning physical sciences
Career changers looking to enter the field
Students wanting to expand their skill set
Professionals seeking to understand the basics
Course Information

About This Course

Unlock the full potential of data science and elevate your career with our comprehensive, hands-on course: "Data Science: Sparklyr Basics for Beginners. " In this course, you will embark on an exciting learning journey through the world of big data, powered by Apache Spark, one of the most transformative tools in the data science and analytics ecosystem. Apache Spark is revolutionizing the way we handle distributed data applications.

By mastering Spark through the powerful sparklyr package in R, you'll gain the skills and confidence to tackle complex, large-scale data projects and build data-driven solutions that can make a real impact across industries. Whether you're a complete beginner or looking to deepen your existing knowledge, this course is designed to provide a strong foundation in the world of big data analytics. What You'll Learn:Data Frame Manipulation with R and Spark: Master the fundamentals of working with data frames in both R and Spark, and learn the techniques for handling large datasets that will allow you to manage and process data like a professional.

Exploratory Data Analysis (EDA) with Spark: Dive into the process of exploratory data analysis in Spark, using the versatile sparklyr package to conduct insightful data exploration and uncover valuable trends, patterns, and relationships. Connecting to Spark (Local & Remote): Learn how to easily connect to Spark clusters, both locally and remotely, and efficiently interact with Spark's powerful distributed system to scale your analyses. Big Data Product Development in R: Discover how to design and build sophisticated data products in R that can efficiently handle and process massive datasets without the limitations of local storage.

Advanced Data Analysis with Spark SQL: Explore how to engage with Apache Spark's SQL capabilities and how to seamlessly integrate sparklyr with Spark SQL to run complex queries and advanced analytics on big data. Why This Course is Right for You:This course is not just about learning how to use Spark; it's about mastering a powerful tool that is used by data scientists and engineers in some of the world's largest tech companies and industries. Upon completing this course, you will:Gain a thorough understanding of how to use Apache Spark and the sparklyr package to perform efficient, large-scale data analysis.

Provider
Udemy
Estimated Duration
8-15 hours
Language
English
Category
Science & Academia

Topics Covered

Physical SciencesData ScienceBeginner Friendly

Course Details

Format
Online, Self-Paced
Access
Lifetime
Certificate
Upon Completion
Support
Q&A Forum
Course Details
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This course includes:

Lifetime access to course content
Access on mobile and desktop
Certificate of completion
Downloadable resources

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