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Big Data Analytics with PySpark Power BI and MongoDB cover image

Big Data Analytics with PySpark Power BI and MongoDB
One Education

Instructor-led Study material | Self-paced videos | Lifetime access | Free Certificate

Summary

Price
£19 inc VAT
Study method
Online, On Demand
Duration
3.9 hours · Self-paced
Qualification
No formal qualification
CPD
10 CPD hours / points
CPD What's this?
Certificates
  • Reed Courses Certificate of Completion - Free
Additional info
  • Tutor is available to students

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Overview

Master Big Data Tools to Launch a High-Demand Career in Analytics

Unlock the power of Big Data with hands-on training in PySpark, Power BI, and MongoDB. Whether you're a beginner or looking to upskill, this course will prepare you for real-world data analytics roles.

Learn how leading tech companies manage and analyse massive datasets – and how you can too, with expert guidance and a CPD-accredited certificate.

What is Included:

  • In-depth training on PySpark, Power BI, and MongoDB for Big Data analytics
  • Flexible online learning – study anytime, anywhere
  • Instructor-led content with practical examples and use cases
  • Dedicated tutor support to guide you throughout the course
  • Free certificate upon successful completion

What Makes This Course a Smart Career Move?

The UK data analytics market is expected to grow steadily, with over 80% of UK companies planning to increase data-related hiring. Professionals skilled in Big Data tools like PySpark and MongoDB are in high demand across industries, including finance, healthcare, and e-commerce.

The average salary for Data Analysts and Big Data Engineers in the UK ranges from £35k to £75k, with top earners in London reaching over £90k annually. Gaining expertise in these tools puts you ahead in this fast-growing field.

Join now to future-proof your career with in-demand data skills!

Certificates

Reed Courses Certificate of Completion

Digital certificate - Included

Will be downloadable when all lectures have been completed.

CPD

10 CPD hours / points
Accredited by CPD Quality Standards

Curriculum

7
sections
27
lectures
3h 56m
total

Course media

Description

Are you looking to start or grow your career in Big Data analytics? This course offers a comprehensive introduction to the powerful tools used by data professionals around the world: PySpark, Power BI, and MongoDB. You'll learn to process large datasets, build scalable data pipelines, and create insightful dashboards for decision-making.

With a blend of hands-on exercises, real-world examples, and instructor guidance, this course equips you with both theoretical knowledge and practical skills. Upon completion, you’ll be ready to apply Big Data techniques across various sectors and stand out in the job market.

Learning Objectives:

  • Understand and implement Big Data processing using PySpark
  • Learn to handle and store NoSQL data using MongoDB
  • Build and optimise data pipelines
  • Apply machine learning models using PySpark MLlib
  • Create interactive dashboards with Tableau and Power BI

Why Should You Take This Course?

Big Data is at the core of decision-making for businesses today. This course provides a clear pathway from beginner to skilled practitioner, with training in industry-leading tools. Whether you're aiming for a data analyst, engineer, or BI developer role, this course gives you the skills and certification you need to succeed.

Course Curriculum:

  • Module 01: Introduction
  • Module 02: Setup and Installations
  • Module 03: Data Processing with PySpark and MongoDB
  • Module 04: Machine Learning with PySpark and MLlib
  • Module 05: Creating the Data Pipeline Scripts
  • Module 06: Tableau Data Visualisation

Who is this course for?

  • Aspiring Data Analysts and Data Engineers
  • Professionals looking to upskill in Big Data tools
  • Anyone interested in transitioning into tech and analytics
  • Students and graduates in computer science or related fields

Requirements

  • No prior experience required
  • A stable internet connection
  • A PC or compatible device
  • A willingness to learn and apply Big Data concepts

Career path

  • Data Analyst – £35k to £50k
  • Big Data Engineer – £45k to £75k
  • Business Intelligence Developer – £40k to £65k
  • Machine Learning Engineer – £50k to £85k
  • Data Scientist – £55k to £90k

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Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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Similar subjects: Data analysis, Big data, Power BI, Business, IT
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