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Develop Big Data Pipelines with R & Sparklyr & Tableau

(2 students)
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Start Now -It's Free

This course includes:

  • list-favs2 hours, 59 minutes
  • list-favsCPD Accreditation
  • list-favs20 units
  • list-favsFull lifetime access
  • list-favsAccess on mobile and TV
  • list-favsCertificate of completion
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Course Cloud

Key Concepts Covered by This Free Course

  • Understand the fundamentals of Big Data Pipelines and their importance in the current industry.
  • Develop and execute ETL Pipelines using R and Sparklyr.
  • Learn the concepts of Big Data Machine Learning with Sparklyr.
  • Use Sparklyr to perform Machine Learning operations on Big Data.
  • Use Tableau to create stunning and insightful visualizations.
  • Create an end-to-end Big Data Pipeline using R, Sparklyr and Tableau.

Course Overview

The Develop Big Data Pipelines with R & Sparklyr & Tableau course is designed to equip you with the necessary knowledge and skills to develop and implement Big Data Pipelines. You’ll learn how to use R and Sparklyr to build and execute Big Data ETL Pipelines, and use Sparklyr to perform Machine Learning operations on Big Data. Additionally, you’ll learn how to create impactful and insightful visualizations using Tableau.

In today’s data-driven world, Big Data Pipelines have become an essential aspect of businesses across various industries. This course is ideal for professionals who want to upgrade their skills and stay ahead of the curve in the field of Big Data Analytics. By the end of the course, you’ll be able to create an end-to-end Big Data Pipeline using R, Sparklyr and Tableau.

Course Benefits

By the end of this course, you will have a strong understanding of big data concepts, best practices, and tools, including R, Sparklyr, and Tableau. You will also gain hands-on experience building big data ETL pipelines, developing machine learning models, and creating interactive data visualizations. These skills are highly sought after in the job market, and will help you advance your career in fields such as data analysis, data science, and business intelligence.

In addition, this course will provide you with the knowledge and skills necessary to work with big data in a more efficient and effective way. You will learn how to process, analyze, and visualize large amounts of data, making it easier to make informed decisions and solve complex problems. These skills are essential for any business or organization that deals with big data, and will help you stand out in the job market and advance your career.

Career Path

  • Big Data Engineer: Build and maintain large-scale Big Data infrastructure and pipelines.
  • Data Scientist: Analyze complex data sets and develop Machine Learning models.
  • Business Intelligence Analyst: Use data to provide insights and recommendations to improve business performance.
  • Data Analyst: Collect, analyze and interpret data to drive business decisions.
  • Database Administrator: Design, implement and maintain databases that support business operations.
  • Analytics Manager: Manage a team of analysts to drive insights and recommendations from data.

Course content

cirrtitle Introduction

  • video Introduction
    00:12:00
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About Course Publisher

Course Cloud
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Unlock your potential with Course Cloud, the UK's leading online provider of career-enhancing skills. With everything from IT and business to healthcare and skilled trades, our diverse range of courses are researched diligently and accredit-rated. Enjoy interactive, self-paced learning through diverse formats that include instructor-led sessions, multimedia lessons and expansive study material. You could be the next to power your career with us. Don't miss out on the opportunity of learning anything at any place with unprecedented flexibility through courseware available on any device. With dedicated tutor support, Course Cloud assures a learning journey that is not just informative but transformative. Join us in taking the first step towards achieving your career aspirations. Request the information today in English (UK) language.

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