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

  • Skills you'll gain: Generative AI, Google Gemini, Prompt Engineering, LLM Application, Google Cloud Platform, Big Data, Query Languages, Natural Language Processing, Scalability

  • Skills you'll gain: Looker (Software), Data-Driven Decision-Making, Google Cloud Platform, Analytics, Data Presentation, Data Analysis, Big Data, Data Transformation, Data Manipulation, Business Intelligence, Data Cleansing, Data Visualization Software, Data Processing, Cloud Storage, Data Warehousing, SQL

  • Status: Preview

    Skills you'll gain: Google Gemini, SQL, Generative AI, Google Cloud Platform, Big Data, Customer Relationship Management, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Python Programming

  • Skills you'll gain: Google Cloud Platform, Unstructured Data, MLOps (Machine Learning Operations), Big Data, Data Pipelines, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud API, Jupyter, Machine Learning, Natural Language Processing

  • Status: Preview

    Skills you'll gain: Big Data, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Google Cloud Platform, Machine Learning

  • Skills you'll gain: Data Transformation, Data-Driven Decision-Making, Looker (Software), Data Cleansing, Data Manipulation, Data Processing, Google Cloud Platform, Data Visualization, Analytics, Big Data, Data Analysis, Data Visualization Software, Cloud Storage, Business Analytics, Data Storage, Data Storage Technologies, Dashboard, Data Warehousing, Data Sharing, Exploratory Data Analysis

  • Status: New

    Skills you'll gain: Looker (Software), SQL, Big Data, Data Analysis, Analytics, Data Manipulation, Data Transformation, Extract, Transform, Load, Data Warehousing, Data Pipelines, Google Sheets, Statistical Programming, Data Cleansing, Data Visualization Software, Data Import/Export, Google Cloud Platform, Cloud Storage

  • Skills you'll gain: Google Gemini, Data Processing, Exploratory Data Analysis, Big Data, Data Transformation, Google Cloud Platform, Interactive Data Visualization, Generative AI, Prompt Engineering, Debugging, SQL

  • Status: Preview

    Skills you'll gain: Big Data, Data Analysis, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning, Predictive Modeling

  • Skills you'll gain: Dataflow, Data Pipelines, Google Cloud Platform, Real Time Data, Data Processing, Big Data, Query Languages, Scalability, Performance Tuning

  • Skills you'll gain: Predictive Analytics, Big Data, Predictive Modeling, Advanced Analytics, Analytics, Applied Machine Learning, Google Cloud Platform, MLOps (Machine Learning Operations), Data Analysis, Machine Learning Methods, Data Modeling

  • Skills you'll gain: Generative AI, Google Gemini, Large Language Modeling, Prompt Engineering, Responsible AI, LLM Application, Google Cloud Platform, Big Data, Database Development

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

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    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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    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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