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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

    • Status: Free
      Free
      A

      Amazon Web Services

      Getting Started with Amazon Neptune

      Skills you'll gain: Amazon Web Services, Databases, Database Management, Database Administration, NoSQL, Database Architecture and Administration, Technical Design

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Deutsch

      Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Predictive Modeling, Google Cloud Platform, Applied Machine Learning, Machine Learning, Data Quality

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Employee Engagement: Driving Real-Time Insights

      Skills you'll gain: Employee Engagement, Drive Engagement, HR Tech, People Analytics, AI Personalization, Generative AI, Employee Surveys, Human Resource Strategy, Employee Retention, Data Ethics, Real Time Data, Human Resources, User Feedback, Continuous Improvement Process

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      NLP – Machine Learning Models in Python

      Skills you'll gain: Natural Language Processing, Text Mining, Predictive Modeling, Applied Machine Learning, Unstructured Data, Statistical Machine Learning, Unsupervised Learning, Dimensionality Reduction, Python Programming, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Algorithms, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Google Cloud 資料分析簡介

      Skills you'll gain:

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      WebSockets Protocol Explained – Master Web Development

      Skills you'll gain: TCP/IP, Ajax, Network Protocols, Web Servers, Web Applications, Application Programming Interface (API), Web Development Tools, Javascript, General Networking, Event-Driven Programming, Secure Coding, Server Side, Real Time Data, Scalability

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Amazon Connect: Introduction to the Administrative Interface

      Skills you'll gain: Dashboard, Report Writing, Business Reporting, Management Reporting, Performance Reporting, Ad Hoc Reporting, Real Time Data, Call Center Experience, Administration, Workforce Management

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Ultimate TypeScript Course 2024 – Learn, Build & Excel

      Skills you'll gain: TypeScript, Maintainability, Web Development Tools, Development Environment, Javascript, Debugging, Integrated Development Environments, Node.JS, Object Oriented Programming (OOP), JSON, Software Installation, Data Validation

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Scene Detailing, Prop Creation, and Rendering

      Skills you'll gain: 3D Modeling, Virtual Environment, Computer Graphic Techniques, Visualization (Computer Graphics), Graphical Tools, Design Elements And Principles, Functional Design, Creative Design, Design

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      P

      Packt

      Advanced Kubernetes - Security, and Large-Scale Deployments

      Skills you'll gain: Kubernetes, Cloud-Native Computing, Google Cloud Platform, Docker (Software), YAML, Application Deployment, MongoDB, Configuration Management, Cloud Security, Role-Based Access Control (RBAC), Network Security, Application Programming Interface (API), Scalability

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Financial & Technical Skills for Business Success

      Skills you'll gain: Financial Statement Analysis, Blogs, Spreadsheet Software, Income Statement, Data Visualization, Excel Formulas, Financial Accounting, Balance Sheet, Data Analysis, Microsoft Excel, Cash Flows, Registration, Web Servers, Content Creation

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Google Workspace Mail Management - Português Brasileiro

      Skills you'll gain: Email Security, Data Loss Prevention, Google Workspace, Security Management, Threat Management, Malware Protection, Network Routing, Threat Detection

      Beginner · Course · 1 - 4 Weeks

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    1…584585586…592

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

    • Getting Started with Amazon Neptune: Amazon Web Services
    • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Deutsch: Google Cloud
    • GenAI for Employee Engagement: Driving Real-Time Insights: Coursera Instructor Network
    • NLP – Machine Learning Models in Python: Packt
    • Google Cloud 資料分析簡介: Google Cloud
    • WebSockets Protocol Explained – Master Web Development: Packt
    • Amazon Connect: Introduction to the Administrative Interface: Amazon Web Services
    • Ultimate TypeScript Course 2024 – Learn, Build & Excel: Packt
    • Scene Detailing, Prop Creation, and Rendering: Packt
    • Advanced Kubernetes - Security, and Large-Scale Deployments: 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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