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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
      Status: Free Trial
      Free Trial
      P

      Packt

      Finalizing, Rendering & Advanced Lighting

      Skills you'll gain: 3D Modeling, Computer Graphics, Visualization (Computer Graphics), Computer Graphic Techniques, Animations, Color Theory

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Product Design and UX/UI Fundamentals

      Skills you'll gain: User Story, Usability, Design Thinking, User Interface (UI) Design, User Experience Design, Mockups, Wireframing, Usability Testing, Human Centered Design, Figma (Design Software), Artificial Intelligence, Prototyping, User Research, Data Ethics

      Beginner · Course · 1 - 3 Months

    • 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
      C

      Coursera

      Validate & Elevate: Usability Testing in Sketch

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Accelerate Terraform Development with GitHub Copilot and AI

      Skills you'll gain: Infrastructure as Code (IaC), Terraform, Development Environment, DevOps, Software Development Tools, GitHub, Program Development, Integrated Development Environments, Microsoft Visual Studio, Generative AI, Software Documentation

      Intermediate · Course · 1 - 3 Months

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

      Packt

      Ethical Hacking Foundations & Network Security

      Skills you'll gain: Penetration Testing, Network Security, Wireless Networks, Cybersecurity, Linux, Vulnerability Assessments, Intrusion Detection and Prevention, Command-Line Interface, Linux Commands, Network Analysis, Encryption, Virtual Private Networks (VPN), System Configuration, Security Software, Software Installation, File Management, Virtual Machines

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera

      Facebook Strategy: Effective Content

      Skills you'll gain: Content Performance Analysis, Facebook, Social Media Content, Target Audience, Content Strategy, Social Media Strategy, Social Media, Customer Insights, Content Creation, Digital Media Strategy, Media Planning, Goal Setting

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Full-Stack Developer Capstone Project

      Skills you'll gain: ASP.NET, Restful API, Full-Stack Web Development, Performance Tuning, .NET Framework, Application Programming Interface (API), Cloud Development, Data Modeling, Development Environment, Cloud Applications, Software Development Tools, Object-Relational Mapping, Application Deployment, Web Development, Software Development, Cloud Infrastructure, Web Applications, UI Components, Back-End Web Development, Cloud Platforms

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Master of Public Health

      Skills you'll gain: Motivational Interviewing, Epidemiology, Health Disparities, Plot (Graphics), Program Evaluation, Sampling (Statistics), Mergers & Acquisitions, Child Health, Survey Creation, Database Design, GIS Software, Variance Analysis, Risk Analysis, Environmental Policy, Spatial Data Analysis, Research Design, Data Collection, Statistical Modeling, Spatial Analysis, Health Equity

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      P

      Packt

      Blender 4 - Geometry Nodes for Beginners

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

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Intro to IoT Pentesting

      Skills you'll gain: Open Web Application Security Project (OWASP), Penetration Testing, Internet Of Things, Security Testing, Embedded Software, Hardware Troubleshooting, Vulnerability Assessments, Test Tools, Cybersecurity, Embedded Systems, General Networking

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Workspace Troubleshooting

      Skills you'll gain: Google Workspace, Gmail, Technical Support, Email Security, Help Desk Support, Technical Communication, Systems Administration, Debugging, Data Access, Cloud Storage, Event Monitoring, File Management

      Beginner · Course · 1 - 4 Weeks

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

    • Finalizing, Rendering & Advanced Lighting: Packt
    • Product Design and UX/UI Fundamentals: Microsoft
    • Comparative Effectiveness and Real-World Evidence: Johns Hopkins University
    • Validate & Elevate: Usability Testing in Sketch: Coursera
    • Accelerate Terraform Development with GitHub Copilot and AI: Packt
    • Ethical Hacking Foundations & Network Security: Packt
    • Facebook Strategy: Effective Content: Coursera
    • Full-Stack Developer Capstone Project: Microsoft
    • Master of Public Health: University of Michigan
    • Blender 4 - Geometry Nodes for Beginners: 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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