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
340courses

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Explore the Big Data Course Catalog

  • Status: Free Trial

    University of California San Diego

    Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Presentation, Scalability, Data Processing, Statistical Analysis, NoSQL, Database Management Systems, MongoDB

  • Status: Free Trial

    Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Distributed Computing, Performance Tuning, Data Transformation, Debugging

  • Status: New

    Skills you'll gain: Apache Hadoop, Big Data, Data Infrastructure, Cloud Management, Data Processing, Data Storage, Java, Operating System Administration, Systems Administration, Distributed Computing, Command-Line Interface

  • Status: New

    Skills you'll gain: Apache Hive, Big Data, Database Design, Extensible Markup Language (XML), Databases, Apache Hadoop, Analytics, Social Media, Data Processing, Social Media Content, Data Management, Data Analysis, Data Integration, Data Transformation

  • Status: Free Trial

    University of California San Diego

    Skills you'll gain: Big Data, Apache Hadoop, Scalability, Data Processing, Data Science, Distributed Computing, Unstructured Data, Data Infrastructure, Data Analysis

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Apache Hadoop, Big Data, Apache Hive, Apache Spark, NoSQL, Data Infrastructure, File Systems, Data Processing, Data Management, Analytics, Data Science, SQL, Query Languages, Data Manipulation, Java, Data Structures, Distributed Computing, Scripting Languages, Data Transformation, Performance Tuning

What brings you to Coursera today?

  • Status: Free Trial

    Skills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Data Wrangling, Apache Hive, Data Collection, Data Mart, Data Science, Data Warehousing, Data Visualization, Analytics, Data Cleansing, Apache Spark, Data Lakes, Data Visualization Software, Microsoft Excel

  • Status: Free Trial

    Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Kubernetes, Supervised Learning, Distributed Computing, Docker (Software), Database Management

  • Status: New
    Status: Free Trial

    Skills you'll gain: Database Design, Relational Databases, Database Application, Database Systems, Database Management, NoSQL, Databases, Machine Learning Algorithms, SQL, Big Data, Apache Hadoop, Database Management Systems, MySQL, Statistical Analysis, Data Visualization, Database Theory, Data Analysis, Exploratory Data Analysis, Transaction Processing, Apache Spark

  • Status: New

    Skills you'll gain: Apache Hadoop, Apache Hive, Big Data, Data Analysis, Data Processing, Query Languages, Unstructured Data, Data Transformation, Scripting

  • Status: Preview

    Skills you'll gain: Big Data, Data Processing, Data Analysis, Analytics, Data Lakes, Data Warehousing, Apache Spark, Data Storage Technologies, Apache Hadoop, Real Time Data, Distributed Computing

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, PySpark, Data Import/Export, Apache Spark, Dashboard, Cloud Services, Applied Machine Learning, Apache Hive, Application Programming Interface (API), Jupyter, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Query Languages, Apache Hadoop, Serverless Computing, Application Deployment, Looker (Software), Cloud Computing, Scalability, SQL

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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  • Google Cloud
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  • University of California San Diego
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