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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

    • C

      Coursera Project Network

      Make.com for Beginners: LinkedIn Post Automation With GPT-4

      Skills you'll gain: LinkedIn, Marketing Automation, Marketing, Social Media, Social Media Marketing, Application Programming Interface (API), Generative AI, Content Creation, Automation, Digital Marketing, Workflow Management

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      A

      Amazon Web Services

      AWS Flash - SaaS Technical Fundamentals

      Skills you'll gain: Software As A Service, Scalability, Amazon Web Services, Cloud Applications, Cloud Development, Amazon S3, Cloud Hosting, Amazon Elastic Compute Cloud, Cloud Management, Application Security, Systems Integration, Multi-Tenant Cloud Environments, Cloud Security, Performance Tuning, Load Balancing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Use Cases, the Future of 5G, and Beyond

      Skills you'll gain: Emerging Technologies, Internet Of Things, Network Security, Wireless Networks, Cybersecurity, Telecommunications, Technology Roadmaps, Automation, Real Time Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      H

      H2O.ai

      Large Language Models

      Skills you'll gain: Large Language Modeling, Collaborative Software, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Engineering, Machine Learning Methods, Training Programs, Data Validation, Data Cleansing, Program Evaluation, Business Logic, Natural Language Processing, Applied Machine Learning, AI Personalization, MLOps (Machine Learning Operations), Data Processing, Data Transformation, Verification And Validation

      3.6
      Rating, 3.6 out of 5 stars
      ·
      11 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Decoding AI: A Deep Dive into AI Models and Predictions

      Skills you'll gain: Generative AI, Data Ethics, Data Analysis, Data-Driven Decision-Making, Data Literacy, Artificial Intelligence, Predictive Modeling, Machine Learning, Media and Communications

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Michigan

      Generative AI Teach-Out

      Skills you'll gain: ChatGPT, Generative AI, Large Language Modeling, Data Ethics, AI Personalization, Artificial Intelligence, Natural Language Processing, Economics, Policy, and Social Studies, Law, Regulation, and Compliance, Social Sciences, Healthcare Industry Knowledge

      4.3
      Rating, 4.3 out of 5 stars
      ·
      6 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      H

      Howard University

      Fundamentals of Business Problem Solving

      Skills you'll gain: Spreadsheet Software, Microsoft Excel, Data Modeling, Business Modeling, Business Analysis, Product Assortment, Financial Modeling, Investment Management, Process Optimization, Revenue Management, Decision Making, Resource Allocation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      21 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Cloud Fundamentals: Core Infrastructure 한국어

      Skills you'll gain: Prompt Engineering, Cloud Infrastructure, Google Cloud Platform, Infrastructure As A Service (IaaS), Cloud Development, Generative AI, Kubernetes, Cloud Services, Cloud Storage, Cloud Applications, Virtual Machines, Large Language Modeling, Network Infrastructure, Containerization, Data Storage Technologies, Identity and Access Management, Serverless Computing, NoSQL, Relational Databases

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      Exam Prep AZ-500:Microsoft Azure Security Engineer Associate

      Skills you'll gain: Azure Active Directory, Authentications, Microsoft Azure, Authorization (Computing), Network Security, Virtual Private Networks (VPN), Identity and Access Management, Firewall, Active Directory, Cloud Security, Network Administration, Infrastructure Security, Security Management, Role-Based Access Control (RBAC), Kubernetes, Single Sign-On (SSO), User Accounts, Data Security, Data Access, Security Information and Event Management (SIEM)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      18 reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Data Analytics Foundations for Accountancy II

      Skills you'll gain: Anomaly Detection, Feature Engineering, Data Ethics, Machine Learning Algorithms, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Supervised Learning, Unsupervised Learning, Scikit Learn (Machine Learning Library), Decision Tree Learning, Classification And Regression Tree (CART), Regression Analysis, Predictive Analytics, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Use Power Automate & SharePoint to Automate Invoice Sending

      Skills you'll gain: Microsoft Power Automate/Flow, Microsoft Power Platform, Document Management, Microsoft 365, Collaborative Software, Billing & Invoicing, Intranet, Automation

      4.1
      Rating, 4.1 out of 5 stars
      ·
      19 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Sales Analysis with Claude: Data Driven Sales Analytics

      Skills you'll gain: Business Intelligence, Data Visualization, Sales Presentation, Data Storytelling, Trend Analysis, Sales, Business Analytics, Sales Strategy, Data-Driven Decision-Making, Data Analysis, Business Strategy, Anomaly Detection, Artificial Intelligence

      Intermediate · Guided Project · Less Than 2 Hours

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    1…355356357…612

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

    • Make.com for Beginners: LinkedIn Post Automation With GPT-4: Coursera Project Network
    • AWS Flash - SaaS Technical Fundamentals: Amazon Web Services
    • Use Cases, the Future of 5G, and Beyond: LearnQuest
    • Large Language Models: H2O.ai
    • Decoding AI: A Deep Dive into AI Models and Predictions: University of Michigan
    • Generative AI Teach-Out: University of Michigan
    • Fundamentals of Business Problem Solving: Howard University
    • Google Cloud Fundamentals: Core Infrastructure 한국어: Google Cloud
    • Exam Prep AZ-500:Microsoft Azure Security Engineer Associate: Whizlabs
    • Data Analytics Foundations for Accountancy II: University of Illinois Urbana-Champaign

    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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