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    • Big Data

    Big Data Courses Online

    Master big data technologies for handling large datasets. Learn about data storage, processing, and analysis using tools like Hadoop and Spark.

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    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
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    Explore the Big Data Course Catalog

    • U

      University of Colorado Boulder

      Master of Science in Computer Science

      Skills you'll gain: Object Oriented Design, User Story, SQL, New Product Development, Systems Engineering, Real-Time Operating Systems, Field-Programmable Gate Array (FPGA), Delegation Skills, Failure Analysis, Sampling (Statistics), Diversity Equity and Inclusion Initiatives, Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Unsupervised Learning, Goal Setting, Proposal Writing, Generative AI

      Earn a degree

      Degree · 1 - 4 Years

    • U

      Universidad de los Andes

      Principios de ingeniería de software automatizada y ágil Certificado MasterTrack®

      Skills you'll gain: User Story, Maintainability, Test Automation, Software Testing, Version Control, Test Driven Development (TDD), Git (Version Control System), Software Architecture, Continuous Integration, Software Design, Unit Testing, Acceptance Testing, Usability, Regression Testing, Software Design Patterns, Web Content Accessibility Guidelines, Agile Software Development, Quality Assurance, Angular, Unified Modeling Language

      Credit offered

      Mastertrack · 6 - 12 Months

    • I

      Illinois Institute of Technology

      Master of Business Administration (MBA)

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of California, Berkeley

      Master of Advanced Study in Engineering

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • D

      Dartmouth College

      Master of Engineering in Computer Engineering

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Illinois at Urbana-Champaign

      Financial Management Graduate Certificate

      Skills you'll gain: Data Visualization, Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Extract, Transform, Load, Financial Auditing, Descriptive Statistics, Process Improvement, Marketing Analytics, Generative AI, Financial Market, Strategic Decision-Making, Corporate Tax

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • U

      University of Illinois at Urbana-Champaign

      Value Chain Management Graduate Certificate

      Skills you'll gain: Data Visualization, Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Extract, Transform, Load, Financial Auditing, Descriptive Statistics, Process Improvement, Marketing Analytics, Generative AI, Financial Market, Strategic Decision-Making, Corporate Tax

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • Status: New
      New
      P

      Packt

      Advanced Architectural Modeling and Texturing

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

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Monitoring, Security, and High Availability in Vault

      Skills you'll gain: System Monitoring, Kubernetes, Continuous Monitoring, Application Security, Hardening, Key Management, Disaster Recovery, Encryption, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Maestría en Ingeniería de Software

      Skills you'll gain: User Story, Process Analysis, Maintainability, Test Automation, Angular, Android Jetpack, Risk Mitigation, Cloud-Native Computing, Dashboard, Design Thinking, Site Reliability Engineering, API Design, Video Game Development, Internet Of Things, Sprint Planning, User Experience Design, Microservices, Machine Learning, Security Requirements Analysis, Cloud Applications

      Earn a degree

      Degree · 1 - 4 Years

    • U

      Universidad de Palermo

      Maestría en Dirección de Empresas (MBA)

      Skills you'll gain: Business Modeling, Data Storytelling, Selling Techniques, Human Capital, Business Process Management, Portfolio Management, Business Planning, Business Analytics, Strategic Marketing, Digital Transformation, Equities, Management Accounting, Organizational Strategy, Corporate Sustainability, Entrepreneurial Finance, Market Dynamics, Online Advertising, B2B Sales, Statistical Methods, Marketing Planning

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Semiconductor Photonics Graduate Certificate

      Skills you'll gain: Semiconductors, Power Electronics, Display Devices, Control Systems, Computer Displays, Electronic Systems, Systems Design, Technical Design, Electronic Components, Electronics, Basic Electrical Systems, Electric Power Systems, Electrical Power, Engineering, Scientific, and Technical Instruments, Electronic Hardware, Equipment Design, Electronics Engineering, Systems Analysis, Electrical Engineering, Simulations

      Credit offered

      Graduate Certificate · 6 - 12 Months

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    1…587588589590

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

    • Master of Science in Computer Science: University of Colorado Boulder
    • Principios de ingeniería de software automatizada y ágil Certificado MasterTrack®: Universidad de los Andes
    • Master of Business Administration (MBA): Illinois Institute of Technology
    • Master of Advanced Study in Engineering: University of California, Berkeley
    • Master of Engineering in Computer Engineering: Dartmouth College
    • Financial Management Graduate Certificate: University of Illinois at Urbana-Champaign
    • Value Chain Management Graduate Certificate: University of Illinois at Urbana-Champaign
    • Advanced Architectural Modeling and Texturing: Packt
    • Monitoring, Security, and High Availability in Vault: Packt
    • Maestría en Ingeniería de Software: Universidad de los Andes

    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

    “Big data” is a term widely used to describe our data-rich world, in which virtually every activity generates a digital data footprint that can be collected and analyzed. While data and data analysis are not necessarily new, the effective use of the extremely large - and rapidly-growing - datasets of today require new approaches to data management.

    In order to harness big data for important applications like machine learning and artificial intelligence, you need more than an Excel spreadsheet or a traditional relational database and SQL. Instead, an entire data infrastructure is necessary to collect and process this data at scale, including data pipelines, data lakes, and data warehouses.

    To make this possible, data engineers rely on new approaches to data processing such as MapReduce, developed by Google, the open-source Apache Hadoop ecosystem including Apache Spark and Apache Hive, and, increasingly, cloud computing and cloud database platforms like Cloudera.‎

    With companies in practically every industry eager to discover ways to harness the power of big data in their operations, having a background in this area can open doors to a wide range of careers. Operations managers at manufacturing or logistics companies may harness data to improve their demand forecasting, inventory planning, and process efficiency; digital marketers use marketing analytics to better understand their customers and the effectiveness of their messaging; and “quants” at hedge funds rely on data-based financial engineering approaches to move millions of dollars in milliseconds.

    Understanding how big data applications are built and what they are capable of can thus be incredibly valuable even if you aren’t a data engineer or data scientist yourself. However, if you have the expertise and desire to work directly with big data yourself, data engineers are responsible for building the data infrastructure capable of reliably and efficiently delivering big data at scale, and data scientists are responsible for using a wide range of analytic and programming approaches to uncover insights from it.

    These two roles are in extremely high demand, and command salaries to match. According to Glassdoor, data engineers earn an average annual salary of $102,864, and data scientists earn an average annual salary of $113,309.‎

    Yes - in fact, Coursera is one of the best places to learn about big data. You can take individual courses and Specializations spanning multiple courses on big data, data science, and related topics from top-ranked universities from all over the world, from the University California San Diego to Universitat Autònoma de Barcelona. Coursera also offers the opportunity to learn from industry leaders in the field like Google Cloud, Cloudera, and IBM, including options to get professional certificates.‎

    The skills and experience that you might need to already have before starting to learn big data may include software programming knowledge as well as top skills in math, algebra, data science, and related areas. The types of programming languages that are common in big data environments include Python, SQL, Java, C, and overall data structure and algorithm insights. Working with structured and unstructured data may likely require knowledge and background in discrete mathematics, statistics, and linear algebra. Of course, learning about big data roles would also require you to bring good soft skills like listening, focus, communication, and flexibility to the table. Finally, what would also play a part before starting to learn big data might include a good education in data science or mathematics.‎

    The kind of people best suited for work that involves big data are those who are keenly interested in data sciences, statistical modeling, data analysis, and the move to a big data future with the internet. People who love to work with data are best suited for roles in big data. This would likely include persons who may have quantitative experience in data technology, or a background and a skill set working with accounting, finance, ratios, and percentages. Big data enthusiasts may also be adventurous types, who take big risks and want to work at the forefront of technology and society.‎

    Learning big data may be right for you if you have strong analytical insights, a data science background, a head for numbers, and a familiarity with internet tools, cloud platforms, and data analysis software. Working in big data is one of the most in-demand jobs now, and the opportunity to work in a relevant field is very alluring. If you're flexible in your work roles, are a creative thinker, and have the discipline and right background, then learning big data may be right for you to advance your career forward.‎

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

    When looking to enhance your workforce's skills in Big Data, 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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