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Develop Big Data Pipelines with R, Sparklyr & Power BI Course Overview:
This course offers a comprehensive exploration of building and managing big data pipelines using R, Sparklyr, and Power BI. Learners will gain valuable insight into the entire process, from setting up and installing the necessary tools to creating effective ETL pipelines, implementing machine learning techniques, and visualising data with Power BI. The course is designed to provide a strong foundation in data engineering, enabling learners to handle large datasets, optimise data workflows, and communicate insights clearly using visual tools.
By the end of this course, learners will have the expertise to work with big data, manage ETL pipelines, and use Sparklyr and Power BI to drive data-driven decisions in various professional settings.
Course Description:
This course delves into the core concepts and techniques for managing big data using R, Sparklyr, and Power BI. It covers a range of topics including the setup and installation of necessary tools, building ETL pipelines with Sparklyr, applying machine learning models to big data, and using Power BI for creating powerful visualisations. Learners will explore how to extract, transform, and load large datasets, and will develop a strong understanding of big data architecture.
They will also gain proficiency in visualising complex data and presenting findings effectively. The course is structured to enhance learners' problem-solving abilities and their competence in big data environments, equipping them with the skills needed to manage and interpret vast amounts of information.
Develop Big Data Pipelines with R, Sparklyr & Power BI Curriculum:
Module 01: Introduction
Module 02: Setup and Installations
Module 03: Building the Big Data ETL Pipeline with Sparklyr
Module 04: Big Data Machine Learning with Sparklyr
Module 05: Data Visualisation with Power BI
(See full curriculum)
Who is this course for?
Individuals seeking to understand big data pipelines.
Professionals aiming to expand their data engineering skills.
Beginners with an interest in data analytics and big data tools.
Anyone looking to enhance their ability to analyse and visualise data.
Career Path:
Data Engineer
Data Analyst
Data Scientist
Business Intelligence Analyst
Machine Learning Engineer
Big Data Consultant
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