Big Data

Big Data is a term that describes extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations. Coursera's Big Data catalogue helps you understand and leverage the power of Big Data technologies. You'll learn how to process, analyze, and interpret complex data sets using various tools and platforms such as Hadoop, Spark, and NoSQL databases. Additionally, you'll gain insights into data mining, machine learning, and cloud-based data solutions. This will enrich your analytical skills, enabling you to make data-driven decisions and strategies in various fields like business, healthcare, social sciences, and more.
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Explore the Big Data Course Catalog

  • Skills you'll gain: Google Gemini, Text Mining, Google Cloud Platform, Data Management, Image Analysis, Big Data, Unstructured Data, SQL, Large Language Modeling, Data Analysis, Statistical Reporting, Machine Learning

  • Skills you'll gain: Apache Spark, Apache Hadoop, Google Cloud Platform, Data Processing, Command-Line Interface, Big Data, Cloud Computing

  • Status: Free Trial

    Skills you'll gain: Google Gemini, Generative AI, Predictive Modeling, Applied Machine Learning, Google Cloud Platform, Big Data, Artificial Intelligence and Machine Learning (AI/ML), SQL, Python Programming, Customer Relationship Management

  • Skills you'll gain: Apache Spark, Google Cloud Platform, Data Processing, Apache Hadoop, Big Data, Cloud Computing, Scalability, System Configuration

  • Status: Free Trial

    Skills you'll gain: Google Cloud Platform, Google App Engine, Identity and Access Management, Kubernetes, Cloud Infrastructure, Load Balancing, Big Data, Serverless Computing, Data Storage, Infrastructure As A Service (IaaS), Virtual Machines, Cloud Applications, Managed Services, Cloud API, Cloud Storage, Platform As A Service (PaaS), Infrastructure as Code (IaC), Cloud Computing, Cloud Services, Disaster Recovery

  • Skills you'll gain: Google Cloud Platform, Big Data, Applied Machine Learning, Predictive Modeling, Analytics, Predictive Analytics, Machine Learning, SQL

  • Status: Free Trial

    Skills you'll gain: Cloud Security, Innovation, Digital Transformation, Cloud Management, Cloud Infrastructure, Google Cloud Platform, Business Transformation, Cloud Computing Architecture, Google App Engine, Site Reliability Engineering, Big Data, Application Programming Interface (API), Cost Management, Cloud Applications, Cloud Computing, DevOps, Hybrid Cloud Computing, Looker (Software), Organizational Change, Cloud Solutions

  • Status: Free Trial

    Skills you'll gain: Dataflow, Data Pipelines, Real Time Data, Google Cloud Platform, Data Processing, Performance Tuning, Big Data, Data Store, Serverless Computing, Query Languages, Data Transformation, Scalability

  • Status: Preview

    Skills you'll gain: Teradata SQL, SQL, Data Import/Export, Google Cloud Platform, Extract, Transform, Load, Data Warehousing, Data Migration, Big Data, Database Design, Cloud Computing Architecture, Data Modeling, Data Security

  • Skills you'll gain: MongoDB, Dataflow, Applied Machine Learning, Google Cloud Platform, Data Pipelines, Big Data, Data Integration

  • Skills you'll gain: Google Gemini, Google Cloud Platform, Cloud Management, Applied Machine Learning, Big Data, Jupyter, Cloud Applications, LLM Application, Text Mining, Statistical Reporting, Machine Learning, SQL

  • Skills you'll gain: Big Data, Google Gemini, Data Processing, Identity and Access Management, Google Cloud Platform, LLM Application, Data Pipelines, Generative AI

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  • This role has a $137,984 median salary ¹.

    description:

    A Data Engineer builds data pipelines for large datasets, optimizing systems and ensuring reliable data flow using tools like Hadoop and Spark.

    This role has a $137,984 median salary ¹.

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  • This role has a $148,224 median salary ¹.

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    A Data Architect designs and oversees data systems, ensuring efficient storage, security, and accessibility to support business objectives.

    This role has a $148,224 median salary ¹.

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