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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
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      Coursera

      Test, Learn, Evolve: Usability Testing in Figma

      Skills you'll gain: Usability Testing, Usability, Figma (Design Software), User Experience Design, User Centered Design, UI/UX Research, User Research, Prototyping, Test Planning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
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      Packt

      HashiCorp Certified - Consul Associate Course

      Skills you'll gain: Data Centers, Infrastructure as Code (IaC), Security Controls, System Configuration, Microservices, Proxy Servers, Service Oriented Architecture, Data Store, Systems Architecture, Encryption, Scalability

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      CCBA Certification Business Analysis Essentials

      Skills you'll gain: Business Analysis, Stakeholder Engagement, Stakeholder Management, Business Requirements, Requirements Management, Business Process, Business Consulting, Business Strategies, Performance Analysis, Business Strategy, Governance, Performance Measurement, Risk Analysis, Business Solutions, Verification And Validation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
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      Packt

      Blender Foundations & Tavern Structure Modeling

      Skills you'll gain: 3D Modeling, Computer Graphics, Technical Design, Visualization (Computer Graphics), Prototyping, Design Elements And Principles

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
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      Packt

      Networking Fundamentals

      Skills you'll gain: Networking Hardware, General Networking, Network Infrastructure, Local Area Networks, OSI Models, Network Protocols, Network Troubleshooting, Dynamic Host Configuration Protocol (DHCP), TCP/IP, Network Architecture, Computer Networking, Network Model, Wireless Networks, Network Security, Network Switches, Virtual Local Area Network (VLAN)

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
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      Packt

      Palo Alto Networks Cybersecurity Fundamentals

      Skills you'll gain: Cybersecurity, TCP/IP, Network Security, Cyber Attacks, Endpoint Security, Infrastructure Security, Network Routing, Threat Detection, Firewall, Computer Networking, Wireless Networks, Cloud Security, Information Technology Infrastructure Library, Vulnerability Assessments

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
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      Starweaver

      Credit Risk Analysis and Underwriting

      Skills you'll gain: Credit Risk, Lending and Underwriting, Underwriting, Risk Analysis, Risk Management, Business Risk Management, Financial Analysis, Financial Statement Analysis, Corporate Finance, Financial Modeling, Stakeholder Communications, Performance Measurement, Balance Sheet, Cash Flows

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
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      Packt

      CyberSec First Responder (CFR-310)

      Skills you'll gain: Incident Response, Cyber Threat Intelligence, Cybersecurity, Cyber Attacks, Vulnerability Assessments, Threat Modeling, Vulnerability Scanning, Threat Detection, Intrusion Detection and Prevention, Application Security, Penetration Testing, Network Security, Malware Protection, Network Analysis

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
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      Coursera Instructor Network

      Operations Management in Healthcare- Streamlining Systems

      Skills you'll gain: Resource Utilization, Lean Methodologies, Operational Efficiency, Health Care Administration, Operations Management, Health Care Procedure and Regulation, Process Improvement, Systems Thinking, Health Technology, Workflow Management, Resource Allocation, Regulatory Requirements, Health Systems, Continuous Improvement Process, Cross-Functional Collaboration, Communication Strategies, Data-Driven Decision-Making

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Building with Code: Programming Fundamentals and Open Source

      Skills you'll gain: Open Source Technology, Package and Software Management, Web Development, Linux, Shell Script, Database Design, Relational Databases, Web Applications, Web Development Tools, Test Driven Development (TDD), Python Programming, Linux Administration, Databases, Object Oriented Programming (OOP), Full-Stack Web Development, Application Deployment, Bash (Scripting Language), Scripting Languages, Computer Programming, Development Testing

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      59 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
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      Packt

      Next.js 14 from Scratch

      Skills you'll gain: Full-Stack Web Development, JavaScript Frameworks, Application Programming Interface (API), MongoDB, React.js, Authentications, OAuth, Server Side, Databases, Cloud Hosting, User Interface (UI), Application Deployment, Development Environment

      Intermediate · Course · 1 - 3 Months

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

      Packt

      Scene Detailing, Prop Creation, and Rendering

      Skills you'll gain: 3D Modeling, Virtual Environment, Computer Graphic Techniques, Visualization (Computer Graphics), Graphical Tools, Design Elements And Principles, Functional Design, Creative Design, Design

      Intermediate · Course · 3 - 6 Months

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

    • Test, Learn, Evolve: Usability Testing in Figma: Coursera
    • HashiCorp Certified - Consul Associate Course: Packt
    • CCBA Certification Business Analysis Essentials: Simplilearn
    • Blender Foundations & Tavern Structure Modeling: Packt
    • Networking Fundamentals: Packt
    • Palo Alto Networks Cybersecurity Fundamentals: Packt
    • Credit Risk Analysis and Underwriting: Starweaver
    • CyberSec First Responder (CFR-310): Packt
    • Operations Management in Healthcare- Streamlining Systems : Coursera Instructor Network
    • Building with Code: Programming Fundamentals and Open Source: Illinois Tech

    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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