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    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

    • Status: New
      New
      M

      Macquarie University

      Identity Access Management (IAM) and Secure Authentication

      Skills you'll gain: Authentications, Identity and Access Management, User Provisioning, AWS Identity and Access Management (IAM), Multi-Factor Authentication, Single Sign-On (SSO), Security Assertion Markup Language (SAML), Threat Management, OAuth, User Accounts, Authorization (Computing), Azure Active Directory, Key Management, Vulnerability Assessments, Role-Based Access Control (RBAC), Cryptographic Protocols

      Beginner · Course · 1 - 3 Months

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

      Packt

      Blender 4 Creator Course Stylized 3D Models

      Skills you'll gain: 3D Modeling, Computer Graphics, Visualization (Computer Graphics), Computer Graphic Techniques, Technical Design, Prototyping, Animations, Game Design, Design Elements And Principles, Color Theory

      Intermediate · Specialization · 3 - 6 Months

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

      IBM

      Generative AI for Digital Marketing

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Digital Advertising, Email Marketing, OpenAI, Digital Marketing, Marketing Automation, AI Personalization, Marketing Analytics, Advertising Campaigns, Marketing, Marketing Strategies, Content Creation, Keyword Research, Search Engine Optimization, Large Language Modeling, Artificial Intelligence, Copywriting, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      Amazon Web Services

      AI Fundamentals and the Cloud

      Skills you'll gain: Prompt Engineering, Data Ethics, Amazon Web Services, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Public Cloud, Large Language Modeling, Generative AI, Business Ethics, Machine Learning, Application Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

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

      Meta

      Meta Web Development Fundamentals

      Skills you'll gain: Django (Web Framework), Responsive Web Design, HTML and CSS, Relational Databases, Object Oriented Programming (OOP), Database Management Systems, Bootstrap (Front-End Framework), SQL, Database Design, Databases, Front-End Web Development, Unit Testing, MySQL, Debugging, User Interface (UI), Web Development, Web Servers, Test Driven Development (TDD), Web Applications, Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      16K reviews

      Beginner · Specialization · 3 - 6 Months

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

      Packt

      Security Fundamentals & Network Automation

      Skills you'll gain: Ansible, Puppet (Configuration Management Tool), Software-Defined Networking, Network Security, Network Administration, Security Awareness, Threat Modeling, Chef (Configuration Management Tool), Information Systems Security, Virtual Private Networks (VPN), JSON, Authentications, Computer Networking, Network Architecture, Authorization (Computing), Automation, Configuration Management, Application Programming Interface (API)

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Kubernetes Masterclass for Application Developers

      Skills you'll gain: Kubernetes, Containerization, Docker (Software), Cloud-Native Computing, Application Deployment, Cloud Applications, YAML, Amazon Web Services, Load Balancing, Data Storage, Cloud Computing Architecture, General Networking, Application Lifecycle Management

      Intermediate · Course · 1 - 3 Months

    • 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
      U

      University of Colorado Boulder

      Sustainable Marketing and Consumer Trends

      Skills you'll gain: Corporate Sustainability, Environmental Social And Corporate Governance (ESG), Marketing, Strategic Marketing, Marketing Communications, Marketing Strategies, Consumer Behaviour, Sustainability Reporting, Brand Strategy, Advertising, Regulatory Compliance, Business Ethics, Market Opportunities, Customer Insights, Digital Marketing, Emerging Technologies

      Build toward a degree

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      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, Cloud Computing, Information Technology Infrastructure Library, Vulnerability Assessments

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Comprende Cloud Spanner

      Skills you'll gain:

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      S

      Scrimba

      Learn Next.js

      Skills you'll gain: JavaScript Frameworks, UI Components, Full-Stack Web Development, React.js, TypeScript, Web Development Tools, Front-End Web Development, Web Applications, Server Side, User Interface and User Experience (UI/UX) Design, Routing Protocols, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

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    1…727374…607

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

    • Identity Access Management (IAM) and Secure Authentication: Macquarie University
    • Blender 4 Creator Course Stylized 3D Models: Packt
    • Generative AI for Digital Marketing: IBM
    • AI Fundamentals and the Cloud: Amazon Web Services
    • Meta Web Development Fundamentals: Meta
    • Security Fundamentals & Network Automation: Packt
    • Kubernetes Masterclass for Application Developers: Packt
    • Validate & Elevate: Usability Testing in Sketch: Coursera
    • Sustainable Marketing and Consumer Trends: University of Colorado Boulder
    • Palo Alto Networks Cybersecurity Fundamentals: 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

    “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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