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
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Explore the Big Data Course Catalog

  • Status: Preview

    EDUCBA

    Skills you'll gain: Internet Of Things, Big Data, Wireless Networks, Predictive Analytics, Applied Machine Learning, Data-Driven Decision-Making, Environmental Monitoring, Sustainable Technologies, Machine Controls, Real Time Data, Automation, Data Analysis, Data Collection

    4.7
    Rating, 4.7 out of 5 stars
    206 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    Fundação Instituto de Administração

    Skills you'll gain: Big Data, FinTech, Market Data, Analytics, Financial Market, Business Intelligence, Financial Services, Data Analysis, Digital Transformation, Data Science, Data-Driven Decision-Making, Mobile Banking, Banking

    4.3
    Rating, 4.3 out of 5 stars
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    Universidad de los Andes

    Skills you'll gain: Spatial Analysis, NoSQL, Spatial Data Analysis, Geospatial Mapping, Geographic Information Systems, Big Data, MongoDB, File Systems, Apache Hadoop, Distributed Computing, Data Architecture, Cloud Computing, Apache Spark, Public Cloud, Database Systems, Data Processing, Scalability, Databases, Environmental Monitoring, Climate Change Programs

    4.3
    Rating, 4.3 out of 5 stars
    11 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial

    LearnKartS

    Skills you'll gain: Site Reliability Engineering, Infrastructure as Code (IaC), Google Cloud Platform, Application Deployment, Cloud Services, Cloud Computing Architecture, Identity and Access Management, Google App Engine, Kubernetes, CI/CD, Cloud Management, Cloud Storage, Real Time Data, Cloud Infrastructure, Cloud Solutions, Load Balancing, Cloud Computing, Big Data, Network Monitoring, Cloud Security

    4.7
    Rating, 4.7 out of 5 stars
    15 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial

    University of Maryland, College Park

    Skills you'll gain: Apache Hadoop, Machine Learning Methods, Customer Analysis, MarTech, Marketing Analytics, Digital Marketing, Marketing Strategies, Big Data, Machine Learning, Artificial Neural Networks, Performance Review, Machine Learning Algorithms, Deep Learning, Artificial Intelligence, Predictive Analytics

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Apache Hadoop, File Systems, Big Data, Java, Data Structures, Infrastructure Architecture, File Management, Systems Architecture, Data Processing, Distributed Computing, Data Storage, Development Environment, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    Coursera Instructor Network

    Skills you'll gain: Big Data, Generative AI, Case Studies, Customer Insights, Market Research, Market Analysis, Marketing Analytics, Data Analysis, Data-Driven Decision-Making, Data Visualization Software, Consumer Behaviour, Predictive Analytics, Business Strategy

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    Status: Preview

    Simplilearn

    Skills you'll gain: Apache Cassandra, Big Data, NoSQL, Apache Hadoop, Virtual Machines, Apache, Analytics, Data Storage, Databases, Database Architecture and Administration, Data Management, Data Architecture, Scalability

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    University of Maryland, College Park

    Skills you'll gain: Pay Per Click Advertising, Marketing Analytics, Web Analytics, Search Engine Optimization, Analytics, Search Engine Marketing, Keyword Research, Digital Marketing, Data-Driven Decision-Making, A/B Testing, Marketing Effectiveness, Online Advertising, Data Analysis, Contextual Advertising, Big Data, Customer Analysis, Key Performance Indicators (KPIs), Customer Data Management, Predictive Analytics, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    Board Infinity

    Skills you'll gain: Cloud Computing, Manufacturing Operations, Cybersecurity, Manufacturing Processes, Augmented and Virtual Reality (AR/VR), Blockchain, Internet Of Things, Production Process, Emerging Technologies, Virtual Environment, Artificial Intelligence, Big Data, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    University of Maryland, College Park

    Skills you'll gain: Online Advertising, Data Presentation, Data Visualization, Digital Advertising, Advertising, Analytics, Big Data, Social Media Strategy, Social Media, Data Ethics, Marketing, Social Media Marketing, Data-Driven Decision-Making, Business Analytics, Advertising Campaigns, Return On Investment, Descriptive Analytics, Law, Regulation, and Compliance, Trend Analysis, Customer Engagement

    Beginner · Course · 1 - 4 Weeks

  • Status: Free

    Amazon Web Services

    Skills you'll gain: Apache Hadoop, Apache Spark, Big Data, Amazon Web Services, Business Intelligence, Amazon S3, Command-Line Interface, Data-Driven Decision-Making, Data Processing, Analytics

    4.7
    Rating, 4.7 out of 5 stars
    6 reviews

    Beginner · Course · 1 - 4 Weeks

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  • Data Engineer

    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.

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  • Data Architect

    Data Architect

    description:

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

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