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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: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Healthcare Law

      Skills you'll gain: Intellectual Property, Medical Privacy, General Data Protection Regulation (GDPR), Health Systems, Personally Identifiable Information, Health Care Procedure and Regulation, Law, Regulation, and Compliance, Information Privacy, Primary Care, Health Care Administration, Regulatory Compliance, Healthcare Industry Knowledge, Medicare, Health Care, Pharmaceuticals, Compliance Management, Health Policy, Health Disparities, Healthcare Ethics, Regulation and Legal Compliance

      4.8
      Rating, 4.8 out of 5 stars
      ·
      550 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of London

      Virtual Reality

      Skills you'll gain: Virtual Reality, Augmented and Virtual Reality (AR/VR), Unity Engine, Video Game Development, Visualization (Computer Graphics), Computer Graphics, Game Design, Virtual Environment, Prototyping, Interaction Design, Storyboarding, User Interface (UI), Human Computer Interaction, Animations, Ideation, Usability Testing, Human Machine Interfaces, Display Devices, Technical Design, Usability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      Java FullStack Developer

      Skills you'll gain: Angular, Web Applications, HTML and CSS, Web Development, Eclipse (Software), JavaScript Frameworks, Spring Boot, Object Oriented Programming (OOP), Restful API, Java Programming, Model View Controller, Object Oriented Design, Hypertext Markup Language (HTML), Front-End Web Development, Software Development Tools, Spring Framework, Java, Web Services, Javascript, Integrated Development Environments

      4.4
      Rating, 4.4 out of 5 stars
      ·
      662 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to R Programming for Data Science

      Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments

      4.5
      Rating, 4.5 out of 5 stars
      ·
      567 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      JavaScript for Beginners

      Skills you'll gain: jQuery, Javascript and jQuery, Ajax, Javascript, Data Validation, UI Components, HTML and CSS, Scripting, JSON, Scripting Languages, Web Development Tools, JavaScript Frameworks, Web Applications, Web Design and Development, Event-Driven Programming, Game Design, Application Programming Interface (API), Object Oriented Programming (OOP), Animations, Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Introduction to Cyber Attacks

      Skills you'll gain: Security Engineering, Threat Modeling, Distributed Denial-Of-Service (DDoS) Attacks, Cyber Attacks, Cybersecurity, Cyber Risk, Information Systems Security, Network Security, Computer Security, Malware Protection, Encryption, Data Integrity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      The Raspberry Pi Platform and Python Programming for the Raspberry Pi

      Skills you'll gain: Linux, Operating Systems, Integrated Development Environments, File Systems, Internet Of Things, Command-Line Interface, Development Environment, Embedded Systems, Python Programming, OS Process Management, User Interface (UI), Computer Hardware, UI Components

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.8K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Science Foundations: Statistical Inference

      Skills you'll gain: Statistical Hypothesis Testing, Probability, Probability & Statistics, Statistical Inference, Statistical Methods, Probability Distribution, Bayesian Statistics, Statistical Modeling, Sampling (Statistics), Statistical Analysis, Data Ethics, Data Science, Quantitative Research, Descriptive Statistics, Statistics, Correlation Analysis

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      322 reviews

      Intermediate · Specialization · 3 - 6 Months

    • M

      Macquarie University

      Artificial Intelligence (AI) Education for Teachers

      Skills you'll gain: Computational Thinking, Design Thinking, Artificial Intelligence, Creativity, Ethical Standards And Conduct, Machine Learning, Data Quality, Computer Science, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      882 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Developer Associate (AZ-204) Exam Prep

      Skills you'll gain: Cloud Development, Microsoft Azure, Cloud Storage, Data Storage, Serverless Computing, Software Development, Cloud Security, Virtual Machines, Data Storage Technologies, CI/CD, Continuous Deployment, Development Environment, Cloud Management, Application Deployment, Cloud Applications, Data Security, Cloud Computing, Microsoft Power Automate/Flow, Event-Driven Programming, C# (Programming Language)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      259 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Deep Learning with Keras and Tensorflow

      Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Unsupervised Learning, Deep Learning, Tensorflow, Generative AI, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Performance Tuning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      948 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Introduction to Databases

      Skills you'll gain: Database Design, Database Management Systems, SQL, Relational Databases, Databases, MySQL, Data Integrity, Query Languages, Data Manipulation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

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

    • Healthcare Law: University of Pennsylvania
    • Virtual Reality: University of London
    • Java FullStack Developer: Board Infinity
    • Introduction to R Programming for Data Science: IBM
    • JavaScript for Beginners: University of California, Davis
    • Introduction to Cyber Attacks: New York University
    • The Raspberry Pi Platform and Python Programming for the Raspberry Pi: University of California, Irvine
    • Data Science Foundations: Statistical Inference: University of Colorado Boulder
    • Artificial Intelligence (AI) Education for Teachers: Macquarie University
    • Microsoft Azure Developer Associate (AZ-204) Exam Prep: Microsoft

    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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