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

  • Status: Free Trial

    Google Cloud

    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

    Intermediate · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: Real Time Data, Dataflow, Data Pipelines, Command-Line Interface, Google Cloud Platform, Databases, Operational Databases, Data Processing, Big Data

    Beginner · Project · Less Than 2 Hours

  • Google Cloud

    Skills you'll gain: Google Cloud Platform, Big Data, Public Cloud, Cloud Computing, Event Monitoring, Cloud Storage, Data Import/Export, Analytics

    Beginner · Project · Less Than 2 Hours

  • Status: Preview

    Universidades Anáhuac

    Skills you'll gain: Internet Of Things, Robotic Process Automation, Automation, Data Ethics, Petroleum Industry, Manufacturing and Production, Artificial Intelligence, Big Data, Oil and Gas, Data Collection, Cybersecurity, Data Processing, Algorithms, Augmented and Virtual Reality (AR/VR), Prototyping

    4.4
    Rating, 4.4 out of 5 stars
    10 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Database Architecture and Administration, Apache Hadoop, Query Languages, Big Data, Databases, SQL, Data Access, Distributed Computing, Performance Tuning, Data Processing, Data Integrity, Data Storage Technologies, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: Data Lakes, Data Access, Query Languages, Google Cloud Platform, Big Data, Identity and Access Management, Cloud Storage, Data Integration, Data Management, Database Development

    Beginner · Project · Less Than 2 Hours

  • Google Cloud

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

    Beginner · Project · Less Than 2 Hours

  • Google Cloud

    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

    Intermediate · Project · Less Than 2 Hours

  • Google Cloud

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

    Intermediate · Project · Less Than 2 Hours

  • Status: Preview

    Northeastern University

    Skills you'll gain: Patient-centered Care, Health Informatics, Patient Communication, Healthcare Industry Knowledge, Health Technology, Analytics, Data Analysis, Predictive Analytics, Innovation, Big Data, Data-Driven Decision-Making, Decision Support Systems, Social Determinants Of Health, Artificial Intelligence

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview

    Google Cloud

    Skills you'll gain: Data Analysis, Big Data, Applied Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    Google Cloud

    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

    4.8
    Rating, 4.8 out of 5 stars
    13 reviews

    Beginner · Specialization · 3 - 6 Months

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  • Data Engineer

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

    Data Engineer

    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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  • Data Architect

    This role has a $147,200 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.

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