Overview

Data-driven decision-making requires efficient data processing, analysis, and visualization. This course provides an in-depth understanding of building scalable big data pipelines using R, Sparklyr, and Power BI. It explores how to manage and analyze large datasets, integrate R with Apache Spark, and create interactive dashboards for insights.

Participants will learn how to transform raw data into structured formats, optimize workflows, and leverage Sparklyr for distributed computing. The course also covers best practices for data visualization using Power BI, ensuring meaningful insights. By the end, learners will be well-versed in designing and implementing efficient big data solutions for various business and research applications.

This Big Data Pipelines with R, Sparklyr & Power BI Course Package Includes

• Comprehensive lessons and training provided by experts on Big Data Pipelines with R, Sparklyr & Power BI
• Interactive online learning experience provided by qualified professionals in your convenience
• 24/7 Access to the course materials and learner assistance
• Easy accessibility from any smart device (Laptop, Tablet, Smartphone etc.)
• A happy and handy learning experience for the professionals and students
• 100% learning satisfaction, guaranteed by Compliance Central

Learning Outcomes

By completing this course, you will:

• Understand the fundamentals of big data and distributed computing.
• Utilize Sparklyr for data processing, transformation, and analysis.
• Implement R-based machine learning models on big data frameworks.
• Connect and integrate R and Spark with Power BI for reporting.
• Develop automated data pipelines for real-time analytics.
• Optimize large-scale data workflows for efficiency.
• Apply best practices for data visualization and business intelligence.
• Gain insights into industry applications of big data solutions.

Course Description of Big Data Pipelines with R, Sparklyr & Power BI

Managing and analyzing large datasets requires robust tools and frameworks. This course introduces R and Sparklyr for big data processing, enabling learners to handle, transform, and analyze extensive datasets with efficiency. It covers distributed computing, machine learning integration, and real-time data analytics. Additionally, learners will explore Power BI to design intuitive dashboards and generate insights for informed decision-making. The course emphasizes structured methodologies to ensure seamless data flow, from ingestion to visualization. By integrating R, Spark, and Power BI, participants will develop scalable solutions for various business scenarios. This learning experience is designed to enhance proficiency in big data technologies and their practical applications across industries.

Who is this Course For

• Data analysts seeking to enhance their big data processing skills.
• Business intelligence professionals interested in scalable analytics.
• Data scientists looking to integrate R and Spark for large-scale models.
• Software engineers working with data-driven applications.
• Professionals handling high-volume datasets and reporting.
• IT specialists aiming to streamline big data workflows.
• Academics and researchers working on data-intensive projects.
• Decision-makers relying on advanced analytics and visualization.
• Consultants designing end-to-end data solutions.
• Anyone interested in learning about big data technologies.

Certification

You can instantly download your certificate for free right after finishing the Big Data Pipelines with R, Sparklyr & Power BI course. The hard copy of the certification will also be sent right at your doorstep via post for £9.99. All of our courses are continually reviewed to ensure their quality, and that provide appropriate current training for your chosen subject. As such, although certificates do not expire, it is recommended that they are reviewed or renewed on an annual basis.

Career Path of Big Data Pipelines with R, Sparklyr & Power BI

This course prepares learners for roles such as Data Engineer, Big Data Analyst, Business Intelligence Developer, Machine Learning Engineer, and Data Scientist. With expertise in R, Sparklyr, and Power BI, professionals can contribute to data-driven decision-making, scalable analytics, and industry-focused big data implementations.