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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
      P

      Packt

      Mastering Multi-Agent Development with AutoGen

      Skills you'll gain: Generative AI Agents, Agentic systems, OpenAI, Artificial Intelligence, API Gateway, Development Environment, Automation, Prompt Engineering, Application Development, Python Programming, Human Machine Interfaces

      4.4
      Rating, 4.4 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      The Blockchain System

      Skills you'll gain: Blockchain, Data Sharing, Cryptography, Transaction Processing, Supply Chain Systems, Distributed Computing, Data Integrity, FinTech, Emerging Technologies, Version Control, Data Validation, Real Estate

      4.2
      Rating, 4.2 out of 5 stars
      ·
      39 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Social Determinants of Health: Data to Action

      Skills you'll gain: Health Equity, Health Disparities, Health Systems, Community Health, Public Health, Health Informatics, Healthcare Ethics, Health Policy, Maternal Health, Public Health and Disease Prevention, Statistical Analysis, Systems Thinking, Statistical Software, Box Plots, Data Ethics, Research Methodologies, Correlation Analysis, Scatter Plots, Environmental Science, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      16 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Advanced Deep Learning Methods for Healthcare

      Skills you'll gain: Deep Learning, Generative AI, Applied Machine Learning, Machine Learning Methods, Image Analysis, Graph Theory, Network Analysis, Artificial Neural Networks, Health Informatics, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Predictive Modeling, Natural Language Processing, Data Synthesis, Python Programming

      3.4
      Rating, 3.4 out of 5 stars
      ·
      13 reviews

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Medical Insurance Premium Prediction with Machine Learning

      Skills you'll gain: Data Visualization, Keras (Neural Network Library), Artificial Neural Networks, Interactive Data Visualization, Predictive Modeling, Tensorflow, Applied Machine Learning, Feature Engineering, Data Processing, Predictive Analytics, Data Manipulation, Data Cleansing, Machine Learning, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Google Drive: Getting Started

      Skills you'll gain: File Management, Cloud Storage, Collaborative Software, Google Workspace, Document Management, Data Sharing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Text Marketing Analytics

      Skills you'll gain: Network Analysis, Unsupervised Learning, Supervised Learning, Unstructured Data, Marketing Analytics, Machine Learning, Deep Learning, Jupyter, Machine Learning Algorithms, Tensorflow, Text Mining, Machine Learning Methods, Scikit Learn (Machine Learning Library), Python Programming, Data Science, Analytics, Applied Machine Learning, Marketing, Semantic Web, Data Structures

      Build toward a degree

      3.1
      Rating, 3.1 out of 5 stars
      ·
      15 reviews

      Beginner · Specialization · 3 - 6 Months

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

      IBM

      Capstone Project: Applying Business Analysis Skills

      Skills you'll gain: Risk Mitigation, Business Process Modeling, Risk Analysis, Stakeholder Management, Process Mapping, Risk Management, Work Breakdown Structure, Stakeholder Engagement, Scope Management, Business Requirements, Presentations, Requirements Elicitation, Business Analysis, Looker (Software), Requirements Analysis, Project Management, Data Analysis Software, Operational Analysis, Dashboard, IBM Cognos Analytics

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Implementing Parent Feedback with Google Forms

      Skills you'll gain: Surveys, Survey Creation, User Feedback, Parent Communication, Constructive Feedback, Teaching, Professional Development, Curriculum Planning, Instructional Strategies, Google Workspace

      4.9
      Rating, 4.9 out of 5 stars
      ·
      82 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Illinois Urbana-Champaign

      Emerging Technology, Disruption, and AI

      Skills you'll gain: Emerging Technologies, Decision Making, Technology Strategies, Business Transformation, Innovation, Strategic Thinking, Artificial Intelligence, Automation, Data Ethics, Storytelling, Probability, Scenario Testing

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      26 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Macquarie University

      Habilidades de Excel Aplicadas a Negocios: Nivel Avanzado

      Skills you'll gain: Dashboard, Spreadsheet Software, Data Cleansing, Excel Formulas, Data Visualization, Microsoft Excel, Data Analysis Expressions (DAX), Business Mathematics, Data Validation, Business Metrics, Financial Data, Financial Analysis, Data Management, Automation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      26 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Introduction to Python and Basic Selenium Setup

      Skills you'll gain: Selenium (Software), Test Automation, Object Oriented Programming (OOP), Programming Principles, Python Programming, Browser Compatibility, Software Installation, Development Environment, File Management, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

    Big Data learners also search

    Big Data Analytics
    Beginner Big Data
    Big Data Projects
    Advanced Big Data
    Data Engineering
    Python Data Science
    Computer Science
    Data Architecture
    1…300301302…604

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

    • Mastering Multi-Agent Development with AutoGen: Packt
    • The Blockchain System: University of California, Irvine
    • Social Determinants of Health: Data to Action: University of Minnesota
    • Advanced Deep Learning Methods for Healthcare: University of Illinois Urbana-Champaign
    • Medical Insurance Premium Prediction with Machine Learning: Coursera Project Network
    • Google Drive: Getting Started: Google Cloud
    • Text Marketing Analytics: University of Colorado Boulder
    • Capstone Project: Applying Business Analysis Skills : IBM
    • Implementing Parent Feedback with Google Forms: Coursera Project Network
    • Emerging Technology, Disruption, and AI: 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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