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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

    • Status: New
      New
      S

      Scrimba

      Intro to Supabase

      Skills you'll gain: Web Applications, Full-Stack Web Development, Database Development, Database Management, Query Languages, Real Time Data, Javascript, User Interface (UI)

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      AZ-204 Developing Solutions for Microsoft Azure

      Skills you'll gain: Microsoft Azure, Serverless Computing, Virtual Machines, Containerization, Cloud Applications, Docker (Software), Platform As A Service (PaaS), Application Deployment, Infrastructure As A Service (IaaS), Kubernetes, .NET Framework, Data Security, Event-Driven Programming, Azure Active Directory, Cloud Security, Microservices, API Design, Cloud Storage, System Monitoring, Scalability

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      G

      Google Cloud

      Modernización de sitios web con IA generativa en GC

      Skills you'll gain: Generative AI, Web Content, Content Management Systems, UI/UX Strategy, User Experience, Web Analytics and SEO, Google Cloud Platform, Web Development

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      在 Google Cloud 上使用生成式 AI 进行网站现代化改造

      Skills you'll gain: Generative AI, AI Personalization, Web Content, Web Analytics and SEO, Prompt Engineering, Performance Tuning, Image Analysis, Google Cloud Platform, User Experience Design

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      AI Strategy for Business Leaders with ChatGPT, ML & DL

      Skills you'll gain: Business Leadership, Artificial Intelligence, Business Strategy, Risk Management, AI Personalization, Strategic Thinking, Business Transformation, Technology Strategies, Generative AI, Digital Transformation, Project Management Software, Organizational Leadership, ChatGPT, Machine Learning, Data Ethics, Innovation, Emerging Technologies, Automation, Trend Analysis, Return On Investment

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      A

      American Museum of Natural History

      The Solar System

      Skills you'll gain: Scientific Visualization, Environment, Water Resources, Physics, General Science and Research, Taxonomy, Scientific Methods, Chemistry

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      The Freelance Stack: Real project with NextJS and Strapi

      Skills you'll gain: Application Deployment, Figma (Design Software), Full-Stack Web Development, React.js, JavaScript Frameworks, Content Management Systems, Cascading Style Sheets (CSS), Front-End Web Development, UI/UX Strategy, UI Components, Responsive Web Design, Amazon S3, Data Migration

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      ATtiny Microcontroller Development for Arduino Programmers

      Skills you'll gain: Embedded Software, Development Environment, Embedded Systems, Electronic Hardware, 3D Modeling, Electronics, Hardware Design, Microarchitecture, Computer Programming Tools, USB, Microsoft Visual Studio, Integrated Development Environments, Electronic Components, Environmental Monitoring, Program Development, Internet Of Things, Computer Programming, Control Systems

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      G

      Google Cloud

      Agentspace로 더 신속하게 지식 교환하기

      Skills you'll gain: Data Store, Productivity Software, Data Access, Data Storage, OAuth, Generative AI Agents, Enterprise Application Management, Application Deployment, Information Architecture, Application Programming Interface (API), AI Personalization, AWS Identity and Access Management (IAM)

      Beginner · Course · 1 - 4 Weeks

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

      Packt

      Cybersecurity Foundations & Threat Mitigation

      Skills you'll gain: Security Controls, Threat Management, Cybersecurity, Threat Detection, Cyber Threat Intelligence, Zero Trust Network Access, Cyber Attacks, Authentications, Application Security, Cyber Risk, Computer Security, Information Systems Security, Data Security, Encryption, Multi-Factor Authentication, Vulnerability Assessments, Cryptography, Authorization (Computing), Identity and Access Management

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Comparative Effectiveness and Real-World Evidence

      Skills you'll gain: Clinical Research, Pharmaceuticals, Clinical Trials, Pharmacology, Research Design, Health Policy, Epidemiology, Research Methodologies, Research, Statistical Methods, Real Time Data, Statistical Analysis, Regression Analysis

      Mixed · Course · 1 - 4 Weeks

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

      Packt

      Certified Vault Operations Professional – A Complete Guide

      Skills you'll gain: Key Management, Authentications, System Monitoring, Kubernetes, Hardening, Encryption, Identity and Access Management, Scalability, Data Security, Continuous Monitoring, Authorization (Computing), Application Security, Security Controls, Performance Tuning, Disaster Recovery, Role-Based Access Control (RBAC), Public Key Infrastructure, User Accounts, Configuration Management, Database Management

      Intermediate · Specialization · 1 - 3 Months

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

    • Intro to Supabase: Scrimba
    • AZ-204 Developing Solutions for Microsoft Azure: Packt
    • Modernización de sitios web con IA generativa en GC: Google Cloud
    • 在 Google Cloud 上使用生成式 AI 进行网站现代化改造: Google Cloud
    • AI Strategy for Business Leaders with ChatGPT, ML & DL: Packt
    • The Solar System: American Museum of Natural History
    • The Freelance Stack: Real project with NextJS and Strapi: Packt
    • ATtiny Microcontroller Development for Arduino Programmers: Packt
    • Agentspace로 더 신속하게 지식 교환하기: Google Cloud
    • Cybersecurity Foundations & Threat Mitigation: Packt

    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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