Big Data Analytics with PySpark Power BI and MongoDB

What's included:

• Grab an enrolment letter as a gift!
• Eligibility to earn a CPD & QLS endorsed certificate.
• Fully Online Recorded Class
• 24/7 & Lifetime Access
• Online support
• No hidden fees

This course introduces learners to PySpark as a key tool for big data analytics, offering insight into large-scale data processing and distributed computing. Participants will understand how PySpark interacts with databases such as MongoDB and visualisation tools like Power BI to deliver actionable insights efficiently. The course emphasises practical approaches to handling massive datasets using PySpark, enabling learners to analyse, transform, and visualise data effectively.

Throughout the training, learners explore advanced PySpark techniques for data manipulation, aggregation, and optimisation. They also gain proficiency in combining PySpark with Power BI dashboards and MongoDB queries to create interactive, insightful visual reports. This course ensures learners acquire the confidence to manage end-to-end big data workflows with PySpark, enhancing analytical capabilities and professional visibility in data-driven industries.

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Learning Outcomes

After completing this course, learners will:

• Understand PySpark fundamentals for efficient big data processing.
• Apply PySpark methods to transform and analyse large datasets confidently.
• Integrate PySpark with MongoDB for effective data storage and queries.
• Create interactive visualisations using PySpark and Power BI dashboards.
• Optimise PySpark code for performance and scalable data solutions.

Who is this course for?

• Data analysts seeking expertise in PySpark and big data analytics.
• IT professionals aiming to enhance PySpark skills for complex datasets.
• Business intelligence specialists working with PySpark and reporting tools.
• Students aspiring to a career in PySpark-driven analytics roles.
• Developers interested in combining PySpark with MongoDB and Power BI.

Career Path and Average UK Salaries

Graduates can pursue roles such as:

• Data Analyst – £35,000 per year.
• Big Data Engineer – £50,000 per year.
• Business Intelligence Developer – £42,000 per year.
• Data Scientist – £55,000 per year.
• ETL Developer – £40,000 per year.
• Analytics Consultant – £48,000 per year.