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    • Big Data Analytics

    Big Data Analytics Courses Online

    Master big data analytics for processing and analyzing large datasets. Learn to use tools like Hadoop, Spark, and NoSQL databases.

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    Explore the Big Data Analytics Course Catalog

    • G

      Google Cloud

      Dataplex: Qwik Start - Command Line

      Skills you'll gain: Command-Line Interface, Data Lakes, Google Cloud Platform, Cloud Management, File Management, Cloud API, Data Access

      Beginner · Project · Less Than 2 Hours

    • Status: New
      New
      U

      Universidades Anáhuac

      Blockchain Aplicado a los Negocios

      Skills you'll gain: Blockchain, Internet Of Things, Business Technologies, Emerging Technologies, Business Operations, Cryptography, Supply Chain Management, HR Tech, Business Process, Cybersecurity, Security Controls, Contract Management, Automation, Data Storage, Strategic Decision-Making

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Creating BigQuery Datasets, Visualizing Insights - Português

      Skills you'll gain: Dashboard, SQL, Data Visualization Software, Data Integration, Data Import/Export, Data Warehousing, Query Languages, Data Analysis, Google Cloud Platform, Data Storage

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Projects and API Integration with jQuery

      Skills you'll gain: Ajax, jQuery, Javascript and jQuery, JSON, Application Programming Interface (API), Debugging, Web Applications, Javascript, Game Design, HTML and CSS, User Interface (UI) Design

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Protecting Data, Logging, and Monitoring in AWS

      Skills you'll gain: Incident Response, Key Management, Amazon Web Services, AWS Identity and Access Management (IAM), Amazon CloudWatch, Encryption, Cloud Security, Continuous Monitoring, Security Information and Event Management (SIEM), Data Security, Amazon Elastic Compute Cloud, Advanced Encryption Standard (AES), Amazon S3, System Monitoring

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Advanced Applications of CDO in Enterprise Security Admin

      Skills you'll gain: Systems Integration, Enterprise Application Management, Data Governance, Security Strategy, Cloud Management, Network Troubleshooting, Enterprise Security, Security Management, Security Controls, Threat Modeling, Continuous Monitoring, Cyber Security Strategy

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Mural para principiantes

      Skills you'll gain: Collaborative Software, Data Sharing, Organizational Skills, User Accounts, Telecommuting, Teamwork, Productivity

      Beginner · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Administering an AlloyDB Database

      Skills you'll gain: Database Administration, PostgreSQL, Operational Databases, Database Architecture and Administration, Database Management, Data Storage Technologies, Disaster Recovery, System Monitoring, Performance Tuning

      Beginner · Project · Less Than 2 Hours

    • G

      Google Cloud

      MLOps with Vertex AI: Manage Features - 日本語版

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Modeling, Feature Engineering, Continuous Deployment, Applied Machine Learning, Data Processing, Data Management, Data Storage

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      MLOps with Vertex AI: Manage Features - Español

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Feature Engineering, Data Processing, Data Modeling, Data Management, Automation, Data Storage Technologies, Data Import/Export, Data Storage

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Achieving Advanced Insights with BigQuery - Français

      Skills you'll gain: SQL, Big Data, Database Architecture and Administration, Database Design, Data Access, Performance Tuning, Data Warehousing, Data Security, Data Manipulation, Data Structures, Cloud Computing, Scalability

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Features and Deployment

      Skills you'll gain: Leaflet (Software), React.js, Application Deployment, Application Development, Web Development, HTML and CSS, Responsive Web Design, UI Components, User Interface (UI)

      Intermediate · Course · 1 - 4 Weeks

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    1…612613614…639

    In summary, here are 10 of our most popular big data analytics courses

    • Dataplex: Qwik Start - Command Line: Google Cloud
    • Blockchain Aplicado a los Negocios: Universidades Anáhuac
    • Creating BigQuery Datasets, Visualizing Insights - Português: Google Cloud
    • Advanced Projects and API Integration with jQuery: Packt
    • Protecting Data, Logging, and Monitoring in AWS: Packt
    • Advanced Applications of CDO in Enterprise Security Admin: LearnQuest
    • Mural para principiantes: Coursera Project Network
    • Administering an AlloyDB Database: Google Cloud
    • MLOps with Vertex AI: Manage Features - 日本語版: Google Cloud
    • MLOps with Vertex AI: Manage Features - Español: Google Cloud

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Big Data Analytics

    Big data analytics refers to the application of advanced data analysis techniques to datasets that are very large, diverse (including structured and unstructured data), and often arriving in real time. The ability to process data at this scale is increasingly essential to navigating today’s business world, and it is at the core of important applications such as machine learning, business intelligence, financial engineering, and other software tools to enable data-informed decision-making.

    Computer programs have been used to assist with data analysis for decades, but tools like Microsoft Excel and traditional relational database management systems (RDBMS) queried with SQL are not capable of handling today’s high-volume, high-velocity datasets. Instead, today’s data management professionals rely on high-powered data infrastructure designed to work with distributed file systems and cloud computing resources - particularly the open-source Apache Hadoop ecosystem, including high-speed data processing with Apache Spark and distributed SQL engines like Apache Hive.‎

    Organizations of all types and sizes are seeking ways to leverage the possibilities of big data to improve operations through reduced costs and faster decision-making, create new products and services, or advance our knowledge about the world. Big data analytics skills can thus open up a wide range of career opportunities, from working as a “quant” on Wall Street to developing navigation systems for autonomous vehicles to helping to discover more effective medicines and drugs in health science.

    Two of the most broadly-applicable roles in this field are data engineers, who build the data infrastructure needed to deliver big data-scale datasets efficiently and reliably, and the data scientists responsible for analyzing them. These roles are in high demand, and are highly-paid as well; according to Glassdoor, data engineers earn an average annual salary of $102,864, and data scientists earn an average annual salary of $113,309.‎

    Absolutely! Data science is one of the most popular topics to learn about on Coursera, and there are a variety of options to build your skills in big data analytics. You can take online courses and Specializations from top-ranked schools like the University of Pennsylvania and the University of California San Diego, as well as leading companies like IBM, PwC, Cloudera, and Google Cloud. And regardless of where you choose to learn from, Coursera gives you the ability to access course materials and complete assignments on a flexible schedule, making this a great fit for students and mid-career professionals alike.‎

    Before you start learning big data analytics, it’s helpful to have an understanding of database management and the fundamentals of how programming languages work. Specifically, experience with SQL, Python, Java, or R can be useful when studying big data analytics. You also may find it beneficial to know how to work with Hadoop and Linux and use basic math and statistics. Additionally, strong analytical skills and a curiosity about playing with data come in handy when you learn big data analytics.‎

    The right people for roles in big data analytics are inquisitive problem solvers who like working with numbers and using statistics to sort through large amounts of data. They typically have work experience or coursework in high-level math or computer programming. A background in behavioral analysis can also be useful for roles in big data analytics because individuals often seek to understand or predict what influences the behavior represented by data. Big data analysts may often need soft skills, such as communication and collaboration skills they use when explaining what they see in the data and working with team members on projects.‎

    If you like working with numbers and are comfortable using statistical techniques, learning big data analytics may be right for you. The amount of data collected on a daily basis is already massive and continues to grow, so organizations need analysts who can curate and prepare data for businesses, governments, and other groups to use. Learning big data analytics may interest you if you possess strong analytical and problem-solving skills and want to apply those skills to sorting and analyzing data to find what’s useful for a client. You may be able to use the knowledge you gain to land an internship or seek a career in data science filling roles in a variety of industries.‎

    Online Big Data Analytics courses offer a convenient and flexible way to enhance your existing knowledge or learn new Big Data Analytics skills. With a wide range of Big Data Analytics classes, you can conveniently learn at your own pace to advance your Big Data Analytics career skills.‎

    When looking to enhance your workforce's skills in Big Data Analytics, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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