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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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    Explore the Big Data Course Catalog

    • P

      Peking University

      C#程序设计

      Skills you'll gain: C# (Programming Language), Object Oriented Programming (OOP), C++ (Programming Language), C and C++, Computer Programming, Microsoft Visual Studio, Extensible Markup Language (XML), Data Structures, Data Access, Java, Database Management, Program Development, User Interface (UI), Algorithms, Event-Driven Programming, Network Model, Computer Graphics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      51 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Program Design & Evaluation for Health Systems Strengthening

      Skills you'll gain: Health Policy, Health Systems, Program Evaluation, Systems Thinking, Public Health, Health Care Administration, Community Health, Research Design, Data Collection, Governance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      Open-source AI Models

      Skills you'll gain: Open Source Technology, JavaScript Frameworks, Generative AI, Application Frameworks, Data Ethics, Web Applications, Artificial Intelligence, Natural Language Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Exploiting and Securing Vulnerabilities in Java Applications

      Skills you'll gain: Open Web Application Security Project (OWASP), Authentications, Penetration Testing, Application Security, Vulnerability Assessments, Secure Coding, Authorization (Computing), Java, Dependency Analysis, Docker (Software), JSON, Git (Version Control System)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      65 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Akamai Technologies, Inc.

      Introduction to IT Security

      Skills you'll gain: Endpoint Security, Incident Response, Network Security, Vulnerability Scanning, Security Management, Penetration Testing, Cybersecurity, Authentications, Vulnerability Assessments, Encryption, Firewall, Identity and Access Management, Hardening, Threat Detection, Disaster Recovery, Public Key Infrastructure, Mobile Security, Risk Management Framework, Wireless Networks

      4.9
      Rating, 4.9 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      F

      Fractal Analytics

      Generative AI for Consultants

      Skills you'll gain: Prompt Engineering, Generative AI, Business Consulting, Leadership, Management Consulting, Customer Insights, Data Ethics, Business Process Automation, Automation, Solution Design, Ethical Standards And Conduct

      4.2
      Rating, 4.2 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Data-Driven Leadership Skills Course 1: Leadership Narrative

      Skills you'll gain: Data-Driven Decision-Making, Business Leadership, Leadership Studies, Organizational Leadership, Leadership, Strategic Leadership, Organizational Structure, Leadership and Management, Social Sciences, Ancient History

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Politics and Ethics of Data Analytics in the Public Sector

      Skills you'll gain: Data Ethics, Policy Analysis, Political Sciences, Data Analysis, Public Policies, Analytics, Data Presentation, Data-Driven Decision-Making, Ethical Standards And Conduct, R Programming, Predictive Modeling, Applied Machine Learning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      Tecnológico de Monterrey

      ¿Qué hacer con tu estrategia digital en tiempos de cambio?

      Skills you'll gain: Customer Engagement, Target Market, Digital Advertising, Customer Retention, Customer Relationship Building, Search Engine Optimization, Digital Media Strategy, Lead Generation, Digital Marketing, Marketing Strategies, Customer Acquisition Management, Customer experience improvement, Cash Flows, Marketing Communications, Web Analytics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      112 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Building Digital Media using Graphic Design in PowerPoint

      Skills you'll gain: Animations, Graphic Design, Graphic and Visual Design Software, Digital Design, Content Creation, Multimedia, Photo/Video Production and Technology, Infographics, Video Production, Media Production, Data Import/Export, Data Sharing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      69 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Security for Blockchain and DApps

      Skills you'll gain: Blockchain, Key Management, Threat Modeling, Application Security, Computer Security, Security Controls, Cryptography, Security Testing, Cybersecurity, Security Requirements Analysis, Data Security, Information Systems Security, Network Security, Security Engineering, Vulnerability Assessments, Encryption, Secure Coding, Cryptographic Protocols, Cyber Security Assessment, Distributed Denial-Of-Service (DDoS) Attacks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Advancing Women in Tech

      Building Products at Global Scale

      Skills you'll gain: Software Architecture, Systems Architecture, Technical Management, API Design, System Design and Implementation, Technical Product Management, Engineering Management, Program Management, Microservices, Cross-Functional Collaboration, Leadership and Management, Technology Roadmaps, Amazon Web Services

      4.4
      Rating, 4.4 out of 5 stars
      ·
      13 reviews

      Mixed · Course · 1 - 4 Weeks

    Big Data learners also search

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    1…306307308…606

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

    • C#程序设计: Peking University
    • Program Design & Evaluation for Health Systems Strengthening: Johns Hopkins University
    • Open-source AI Models: Scrimba
    • Exploiting and Securing Vulnerabilities in Java Applications: University of California, Davis
    • Introduction to IT Security: Akamai Technologies, Inc.
    • Generative AI for Consultants: Fractal Analytics
    • Data-Driven Leadership Skills Course 1: Leadership Narrative: University of Glasgow
    • Politics and Ethics of Data Analytics in the Public Sector: University of Michigan
    • ¿Qué hacer con tu estrategia digital en tiempos de cambio?: Tecnológico de Monterrey
    • Building Digital Media using Graphic Design in PowerPoint: Coursera Project Network

    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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