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.
85credentials
3online degrees
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Explore the Big Data Course Catalog

  • Status: Free Trial

    Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Extract, Transform, Load, Data Transformation, Data Processing, Big Data, Apache Spark, Serverless Computing, Apache Hadoop, Cloud Storage

  • Skills you'll gain: Google Gemini, Marketing Strategies, Customer Analysis, Big Data, Forecasting, Customer Insights, Predictive Analytics, Analytics, Data Analysis, Marketing Analytics, Artificial Intelligence, Google Cloud Platform, Generative AI, SQL

  • Skills you'll gain: Extract, Transform, Load, Data Sharing, Data Pipelines, Metadata Management, Google Cloud Platform, Data Migration, Data Processing, Big Data, Data Integration, Cloud Storage, Data Warehousing, Data Management, Data Lakes, Data Import/Export, Data Transformation, Apache Spark, Serverless Computing

  • Skills you'll gain: Dashboard, Kibana, Google Cloud Platform, Cloud Computing, Data Import/Export, Financial Data, Mainframe Computing, Dataflow, Big Data, Exploratory Data Analysis, SQL, Data Analysis

  • Status: Free Trial

    Skills you'll gain: Google Cloud Platform, Data Pipelines, Dataflow, Data Lakes, MLOps (Machine Learning Operations), Looker (Software), Data Warehousing, Data Management, Data Infrastructure, Cloud Engineering, Data Processing, Unstructured Data, Cloud Storage, Big Data, Tensorflow, Cloud Infrastructure, Database Development, Dashboard, Real Time Data, Extract, Transform, Load

  • Status: Free Trial

    Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Extract, Transform, Load, Data Processing, Data Transformation, Big Data, Apache Spark, Apache Hadoop, Cloud Storage

  • Status: Free Trial

    Skills you'll gain: Data Governance, Digital Transformation, Real Time Data, Looker (Software), Data Strategy, Google Cloud Platform, Dataflow, Data Storage, Data Management, Cloud Storage, Data Transformation, Data Warehousing, Big Data, Business Intelligence, Analytics, Data Quality, Data Access, Data-Driven Decision-Making

  • Skills you'll gain: Google Cloud Platform, Data Pipelines, Data Migration, Extract, Transform, Load, Cloud Storage, Data Infrastructure, Big Data, Data Processing, Data Lakes, Apache Airflow, Analytics, Data Storage, Data Transformation, Metadata Management, Apache Spark, Automation, Real Time Data, Serverless Computing

  • Skills you'll gain: Data Processing, Metadata Management, Cloud Storage, Google Cloud Platform, Data Pipelines, Data Migration, Big Data, Data Storage, Extract, Transform, Load, Data Infrastructure, Cloud Services, Data Management, Automation, Data Transformation, Real Time Data, Serverless Computing

  • Skills you'll gain: Google Cloud Platform, Data Sharing, Big Data, Data Access, Cloud Computing, Cloud Security, Data Integration, Data Management, Data Visualization

  • Status: Free Trial

    Skills you'll gain: Data Access, Machine Learning, Google Cloud Platform, Data Transformation, SQL, Applied Machine Learning, Big Data, Dashboard, Database Management, Data Cleansing, Predictive Modeling, Data Warehousing, Cloud Infrastructure, Data Analysis, Data Visualization Software, Data Architecture, Data Integration, Exploratory Data Analysis, Deep Learning, Query Languages

  • Skills you'll gain: Google Gemini, Marketing Analytics, Generative AI, Customer Analysis, Customer Insights, Big Data, Marketing Strategies, Customer Data Management, Forecasting, Predictive Analytics, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML)

Related roles

Gain the knowledge and skills you need to advance.

  • 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.

    Offered by

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  • This role has a $147,200 median salary ¹.

    description:

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

    This role has a $147,200 median salary ¹.

    Offered by

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