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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

    • G

      Google Cloud

      Planning for a Google Workspace Deployment - Français

      Skills you'll gain: Data Migration, Change Management, Google Workspace, User Provisioning, Application Deployment, Interoperability, Technical Consulting, End User Training and Support, Systems Integration, Employee Training

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - Français

      Skills you'll gain: Information Privacy, Cloud Security, Generative AI, Personally Identifiable Information, Google Cloud Platform, Data Security, Artificial Intelligence, Security Controls, Safety and Security, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - 繁體中文

      Skills you'll gain: Data Ethics, Artificial Intelligence, Google Cloud Platform, Open Source Technology, Analysis, Data Validation, 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

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - 简体中文

      Skills you'll gain: Information Privacy, Cloud Security, Personally Identifiable Information, Google Cloud Platform, Data Security, Open Web Application Security Project (OWASP), Security Controls, Artificial Intelligence, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - 简体中文

      Skills you'll gain: Data Pipelines, Big Data, Exploratory Data Analysis, Data Processing, Data Visualization, Artificial Intelligence, Data Analysis, Generative AI, SQL

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - Italiano

      Skills you'll gain: Data Ethics, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning, Software Visualization, Statistical Machine Learning, Artificial Intelligence, Data Governance

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - 日本語版

      Skills you'll gain: Customer Relationship Management, Google Cloud Platform, Generative AI, Applied Machine Learning, Big Data, Predictive Modeling, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), SQL, Machine Learning, Data Analysis

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Master of Science in Electrical Engineering

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

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      P

      Packt

      Advanced ASP.NET Core MVC, Deployment & User Management

      Skills you'll gain: User Accounts, ASP.NET, Authorization (Computing), Authentications, Application Deployment, Microsoft Azure, Microsoft Development Tools, Model View Controller, Bootstrap (Front-End Framework), Identity and Access Management, Role-Based Access Control (RBAC), Back-End Web Development, Server Side, Database Architecture and Administration, Database Management, Application Security

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - 简体中文

      Skills you'll gain: Google Cloud Platform, Big Data, Business Intelligence, Generative AI, Customer Relationship Management, Predictive Analytics, Artificial Intelligence and Machine Learning (AI/ML), SQL, Data Analysis, Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Google Cloud Customer Care Fundamentals - Bahasa Indonesia

      Skills you'll gain: Customer Support, Cloud Management, Technical Support, Service Level, Technical Communication, Cloud Services, Service Management, Issue Tracking, Data Loss Prevention

      Beginner · Course · 1 - 4 Weeks

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

    • Planning for a Google Workspace Deployment - Français: Google Cloud
    • Responsible AI for Developers: Privacy & Safety - Français: Google Cloud
    • Responsible AI for Developers: Fairness & Bias - 繁體中文: Google Cloud
    • Google Cloud 資料分析簡介: Google Cloud
    • Responsible AI for Developers: Privacy & Safety - 简体中文: Google Cloud
    • Boost Productivity with Gemini in BigQuery - 简体中文: Google Cloud
    • Responsible AI for Developers: Interpretability & Transparency - Italiano: Google Cloud
    • Work with Gemini Models in BigQuery - 日本語版: Google Cloud
    • Master of Science in Electrical Engineering: University of Colorado Boulder
    • Advanced ASP.NET Core MVC, Deployment & User Management: 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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