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

  • Skills you'll gain: Google Cloud Platform, Google Gemini, Generative AI, MLOps (Machine Learning Operations), Cloud Infrastructure, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Machine Learning, Predictive Modeling, Natural Language Processing

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

  • Skills you'll gain: Dataflow, Data Validation, Google Cloud Platform, Data Import/Export, Data Infrastructure, Database Development, Big Data, Cloud Storage

  • 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: Data Visualization, Google Cloud Platform, Big Data, SQL, Analytics, Analysis, Data Warehousing

  • Pontificia Universidad Católica de Chile

    Skills you'll gain: Descriptive Analytics, Business Analytics, Data Mining, Big Data, Predictive Analytics, Data Analysis, Dimensionality Reduction, Statistical Modeling, Visualization (Computer Graphics), R Programming, Scientific Visualization, Predictive Modeling, Data Management, Data Modeling, Analytics, Advanced Analytics, Data Visualization Software, Data-Driven Decision-Making, Statistical Visualization, Analytical Skills

  • Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Big Data, Cloud Development, Artificial Intelligence, Machine Learning, Predictive Modeling, Natural Language Processing

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

  • Status: Preview

    University of Michigan

    Skills you'll gain: FinTech, Wealth Management, Financial Trading, Investment Management, Asset Management, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Artificial Neural Networks, Portfolio Management, Machine Learning, Financial Analysis, Predictive Analytics

  • Status: Free Trial

    Skills you'll gain: Google Cloud Platform, Responsible AI, Artificial Intelligence, Applied Machine Learning, Cloud Solutions, Analytics, Machine Learning, Big Data, Business Intelligence, Data Quality, Image Analysis

  • Skills you'll gain: Looker (Software), Dashboard, Data Analysis, Data Presentation, Data Storytelling, Analytics, SQL, Google Cloud Platform, Big Data, Data Visualization Software, Data Warehousing, Data-Driven Decision-Making, Relational Databases, Data Storage

  • Skills you'll gain: Looker (Software), Data Presentation, Analytics, Data Analysis, Dashboard, Big Data, Google Cloud Platform, Data Visualization Software, Data Processing, Data Warehousing, Data-Driven Decision-Making, Data Management, SQL, Databases, Cloud Storage

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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.

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