Develop Big Data Pipelines with R, Sparklyr & Power BI

Big Data is no longer just a buzzword—it's the engine behind today’s data-driven decisions across industries. From healthcare to finance,it’s the competitive edge separating leaders from the rest.

Supercharge your data career with real-world big data tools! Learn how to develop powerful data pipelines using R, Sparklyr, and Power BI – no prior experience required.

In today's data-driven economy, organisations pay premium salaries for professionals who can transform raw information into actionable insights. This comprehensive course teaches you to develop production-ready big data solutions using the most sought-after tools in the industry: R for statistical computing, Sparklyr for distributed processing, and Power BI for visual storytelling. Through hands-on projects, you'll gain real-world skills that immediately boost your employability.

What is Included:

• Build scalable ETL pipelines using Sparklyr to process terabytes of data
• Implement machine learning models that run across distributed clusters
• Design interactive Power BI dashboards that impress stakeholders
• Flexible online learning with expert tutor support when you need it
• Earn a free certificate to validate your new skills

What Makes This Course a Smart Career Move?

The UK's big data analytics market is growing at 12.3% annually, with skilled professionals commanding salaries between £45,000 to £85,000. A recent Tech Nation report revealed that data engineering roles have seen 40% year-on-year growth, making this one of the most secure career paths in tech. By mastering these in-demand tools, you'll unlock opportunities as a Data Engineer (£50k-£80k), BI Developer (£45k-£70k), or Machine Learning Engineer (£60k-£90k).

Enrol today to transform your data career—master big data workflows and earn a CPD-accredited certificate that employers will value.

Reed Courses Certificate of Completion

Digital certificate - Included

MCQ Based Exam

Included in course price

• Section 01: Introduction 11:31

  • 1: Introduction 11:31

• Section 02: Setup and Installations 30:54

  • 2: lesson1InstallR 05:10
  • 3: lesson3sparkInstall 12:06
  • 4: lesson4javaInstall 04:35
  • 5: lesson5testSpark 02:32
  • 6: lesson6InstallSparklyr 06:31

• Section 03: Building the Big Data ETL Pipeline with Sparklyr 30:44

  • 7: lesson7DataExtract 05:43
  • 8: lesson8DataTransform 17:35
  • 9: lesson9DataLoad 07:26

• Section 04: Big Data Machine Learning with Sparklyr 36:39

  • 10: lesson10Preprocessing 17:34
  • 11: lesson11BuildModel 09:30
  • 12: lesson12PredResults 09:35

• Section 05: Data Visualization with Power BI 1:05:43

  • 13: lesson13InstallTableau 01:44
  • 14: lesson14ImportDataSources 05:09
  • 15: lesson15EqMap 12:14
  • 16: lesson16BarChart 08:14
  • 17: lesson17Donut 15:01
  • 18: lesson18Magnitude 08:44
  • 19: lesson19Dashboard 14:37

The Develop Big Data Pipelines with R, Sparklyr & Power BI course equips you with in-demand skills to collect, process, analyse, and visualise vast datasets. Whether you’re an aspiring data engineer, analyst or someone looking to transition into a data-centric career, this course provides practical knowledge with hands-on examples using industry tools.

You'll learn how to integrate Sparklyr with R for scalable data processing and use Power BI to communicate insights effectively. From setup to deployment, you’ll build an end-to-end ETL and machine learning pipeline that mimics real-world business applications.

Learning Objectives:

• Understand how to set up a Sparklyr environment with R
• Build and optimise Big Data ETL pipelines using Sparklyr
• Apply machine learning techniques on large datasets
• Create interactive dashboards with Power BI
• Develop job-ready skills for data engineering and analytics roles

Why Should You Take This Course?

This course is a perfect blend of data engineering, analytics, and business intelligence. It introduces powerful tools used by top-tier companies across the UK. If you're aiming to step into high-growth roles in tech or finance, or improve your organisation's data processes, this course offers immediate, applicable skills. Plus, with CPD accreditation, you’ll gain recognised credentials to prove your expertise.

Course 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

• Aspiring data analysts and engineers
• Professionals transitioning into data roles
• Business analysts aiming to upskill
• Anyone interested in Big Data and visualisation

• No experience required
• Internet access with a compatible device
• Willingness to learn and apply Big Data skills

• Data Engineer – 45k to 80k
• Business Intelligence Developer – 40k to 70k
• Data Analyst – 30k to 55k
• Big Data Developer – 50k to 85k
• Machine Learning Engineer – 55k to 95k

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