Overview

Big Data Analytics is transforming industries by enabling organisations to process, analyse, and extract insights from massive datasets. This course provides a strong theoretical foundation in Big Data technologies, focusing on PySpark, Power BI, and MongoDB. You will explore data processing, visualisation, and storage techniques essential for modern data-driven decision-making.

By understanding distributed computing with Apache Spark, leveraging Power BI for interactive dashboards, and working with NoSQL databases like MongoDB, you will gain the knowledge required to navigate the Big Data landscape. This course is ideal for those who want to comprehend the fundamental concepts behind these powerful tools without diving into complex programming.

This Big Data Analytics with PySpark Power BI and MongoDB Course Package Includes

• Comprehensive lessons and training provided by experts on Big Data Analytics with PySpark Power BI and MongoDB
• 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

• Understand the principles and applications of Big Data Analytics.
• Learn the theoretical aspects of PySpark, its architecture, and data processing techniques.
• Explore Power BI and its role in data visualisation and reporting.
• Understand MongoDB, its NoSQL structure, and how it manages unstructured data.
• Gain insights into distributed computing and data management in large-scale environments.
• Recognise the importance of ETL (Extract, Transform, Load) processes in Big Data workflows.
• Analyse real-world case studies to see Big Data applications in various industries.
• Understand the ethical and security considerations in handling large datasets.

Course Description of Big Data Analytics with PySpark Power BI and MongoDB

This course delves into the theoretical framework of Big Data Analytics, equipping learners with a strong conceptual understanding of PySpark, Power BI, and MongoDB. It explains how PySpark enables distributed data processing, how Power BI facilitates data visualisation, and how MongoDB efficiently stores and retrieves unstructured data.

Through detailed explanations and industry case studies, learners will explore data pipelines, real-time analytics, and business intelligence workflows. The course is designed for professionals and students who wish to grasp the key concepts behind these technologies without focusing on programming or implementation. By the end, you will be well-versed in the strategic and analytical aspects of Big Data.

Who is this Course For

• Data Analysts and Business Intelligence professionals.
• IT and Data Science students seeking foundational knowledge.
• Business Managers and Decision-Makers working with data-driven insights.
• Professionals transitioning into Big Data Analytics roles.
• Researchers handling large datasets.
• Entrepreneurs looking to understand Big Data applications.
• Software Engineers wanting an overview of PySpark, Power BI, and MongoDB.
• Financial analysts interested in data-driven forecasting.
• Marketing professionals leveraging Big Data for customer insights.
• Anyone curious about Big Data technologies and their business impact.

Certification

Career Path of Big Data Analytics with PySpark Power BI and MongoDB

Upon completion, learners will be equipped for roles such as Big Data Analyst, Business Intelligence Consultant, Data Strategist, or Analytics Manager. This course also provides a strong foundation for further studies in Data Science, AI, and Machine Learning. Organisations across finance, healthcare, retail, and technology seek professionals with Big Data knowledge to drive innovation and efficiency.