Develop Big Data Pipelines with R, Sparklyr & Power BI
Course
Online
Description
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Type
Course
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Level
Intermediate
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Methodology
Online
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Class hours
3h
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Duration
1 Year
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Online campus
Yes
The Develop Big Data Pipelines with R, Sparklyr & Power BI course is designed to help learners understand how modern data pipelines are built, managed, and visualised using industry-relevant tools. This course explores the full lifecycle of big data processing, from data ingestion and transformation to analytics and reporting, making it ideal for anyone looking to strengthen their data engineering and analytics capabilities.
Learners will gain practical knowledge of building scalable data pipelines using R programming, Sparklyr for distributed data processing, and Power BI for data visualisation and business intelligence. The course explains how large datasets are handled efficiently, how data flows between systems, and how insights are generated to support informed decision-making. Core concepts such as data integration, transformation, pipeline automation, and performance optimisation are covered in a clear and structured manner.
This online CPD course is suitable for professionals seeking to enhance their technical skill set, students interested in data careers, or individuals aiming to understand how big data supports modern organisations. By completing this course, learners will develop in-demand analytical skills that align with data-driven roles across technology, finance, healthcare, and business sectors, while improving their CV with globally relevant knowledge.
Important information
Price for Emagister users:
About this course
Understand big data pipeline architecture and workflows
Use R for data processing and transformation tasks
Apply Sparklyr for scalable data analysis
Integrate datasets across multiple sources
Create meaningful dashboards using Power BI
Interpret data insights for business decisions
This course is intended for individuals who want to develop a strong understanding of big data pipelines and data analytics tools. It is suitable for aspiring data analysts, data engineers, and business intelligence professionals looking to expand their technical knowledge. Professionals working in IT, finance, marketing, healthcare, or operations will also benefit from learning how large datasets are processed and visualised to support strategic decisions.
Students and career changers interested in data-driven roles will find this course accessible and valuable, as it introduces key concepts in a structured and practical way. It is equally useful for professionals who already work with data and want to enhance their skills using R, Sparklyr, and Power BI. No specific industry background is required, making this course inclusive for learners from diverse academic and professional pathways.
There are no formal entry requirements for this course, making it accessible to learners from a wide range of backgrounds. The course is suitable for learners aged 16 and above who are interested in data analytics and big data technologies. A good standard of English is recommended to follow the course materials effectively. Basic numeracy skills and general IT knowledge will help learners understand data concepts, tools, and workflows more confidently. Prior experience in programming or data analysis is helpful but not essential, as the course is structured to support progressive learning.
Upon successful completion of the Develop Big Data Pipelines with R, Sparklyr & Power BI, you will qualify for a UK and internationally recognised professional certification. You may also choose to formalise your achievement by obtaining your PDF Certificate for £9 or a Hardcopy Certificate for £15.
This course offers a flexible and self-paced learning experience, allowing learners to study around personal and professional commitments. The content is expert-designed to reflect current industry practices in big data processing and analytics. Each module is structured to build practical, career-focused knowledge that supports real-world application. Learners develop valuable technical skills that enhance a CV and demonstrate data competency across multiple tools. The course focuses on clarity, progression, and relevance, making complex concepts easier to understand while supporting long-term professional development.
Yes, this course is designed to be accessible for beginners while still providing value to learners with some prior experience. Concepts are explained clearly, starting from foundational ideas and gradually progressing to more advanced topics. Learners do not need extensive technical knowledge to begin, making it suitable for those new to big data pipelines, R, Sparklyr, or Power BI.
This course helps learners build in-demand data skills that are relevant across many industries. Understanding how big data pipelines work can support roles such as data analyst, business intelligence analyst, and data-focused operational roles. The skills gained enhance your CV by demonstrating analytical thinking, data processing knowledge, and familiarity with widely used tools.
The course is delivered entirely online through a self-paced learning platform. Learners can access the materials at their convenience and progress through modules at a comfortable pace. This flexible study method allows you to balance learning with work, education, or personal commitments while revisiting content whenever needed.
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This centre's achievements
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 7 years
Subjects
- Develop
- Big Data
- Pipelines
- Power BI
- Sparklyr
Teachers and trainers (1)
One Education
Course Provider
Course programme
Develop Big Data Pipelines with R, Sparklyr & Power BI explains how to build end-to-end data pipelines for processing, analysing, and visualising large datasets. The course covers data ingestion with R, scalable analytics using Sparklyr, and interactive reporting with Power BI, helping learners transform raw big data into clear, actionable business insights efficiently.
Course Curriculum
- Section 01: Introduction
- Section 02: Setup and Installations
- Section 03: Building the Big Data ETL Pipeline with Sparklyr
- Section 04: Big Data Machine Learning with Sparklyr
- Section 05: Data Visualization with Power BI
Develop Big Data Pipelines with R, Sparklyr & Power BI
