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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: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Healthy Aging and the Future of Cannabis Research

      Skills you'll gain: Gerontology, Public Health, Health Policy, Preventative Care, Medical Science and Research, Health Care, Epidemiology, Geriatrics, Research, General Science and Research, Pharmacology, Clinical Research, Risk Analysis, Chronic Diseases, Data Collection, Mental Health Diseases and Disorders

      4.7
      Rating, 4.7 out of 5 stars
      ·
      94 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Learn to Teach Java

      Skills you'll gain: Debugging, Object Oriented Programming (OOP), Java, Programming Principles, Pedagogy, Program Development, Integrated Development Environments, Software Design, Computational Thinking, Computer Programming, Cultural Responsiveness, Test Case, Pseudocode, Algorithms, Data Structures

      4.7
      Rating, 4.7 out of 5 stars
      ·
      56 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Diabetes Disease Detection with XG-Boost and Neural Networks

      Skills you'll gain: Artificial Neural Networks, Exploratory Data Analysis, Applied Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Statistical Analysis, Feature Engineering

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • P

      Pontificia Universidad Católica de Chile

      Procesamiento de Imágenes

      Skills you'll gain: Image Analysis, Data Processing, Computer Vision, Algorithms, Python Programming, NumPy, Linear Algebra, Probability & Statistics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Peking University

      社会调查与研究方法 (上)Methodologies in Social Research (Part I)

      Skills you'll gain: Research Methodologies, Research Design, Scientific Methods, Experimentation, Social Sciences, Surveys, Data Collection, Qualitative Research, Sample Size Determination, Research Reports, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      50 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Zurich

      Sprachtechnologie in den Digital Humanities

      Skills you'll gain: Extensible Markup Language (XML), Natural Language Processing, Unstructured Data, Language Competency, Data Analysis Software, Data Quality, Machine Learning Methods, Statistical Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      R Ultimate 2023 - R for Data Science and Machine Learning

      Skills you'll gain: Rmarkdown, Deep Learning, Shiny (R Package), Data Import/Export, Regression Analysis, Dimensionality Reduction, R Programming, Data Manipulation, Data Visualization, Reinforcement Learning, Web Scraping, Ggplot2, Plotly, Applied Machine Learning, Image Analysis, Artificial Intelligence, Data Mining, Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling

      Beginner · Specialization · 3 - 6 Months

    • F

      Fundação Instituto de Administração

      Gestão da Cadeia de Suprimentos

      Skills you'll gain: Supply Chain Management, Supply Chain, Supply Chain Planning, Transportation, Supply Chain, and Logistics, Logistics Management, Inventory Management System, Operations Management, Order Management, Business Technologies, Customer Demand Planning, Production Planning, Customer experience improvement, Data-Driven Decision-Making, Automation, Internet Of Things

      5
      Rating, 5 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Machine Learning Models in Science

      Skills you'll gain: Applied Machine Learning, Data Processing, Dimensionality Reduction, Data Cleansing, Machine Learning Algorithms, Data Transformation, Artificial Neural Networks, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Supervised Learning, Predictive Modeling, Python Programming

      4
      Rating, 4 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Learn to Code with Ruby

      Skills you'll gain: Object Oriented Design, Ruby (Programming Language), Object Oriented Programming (OOP), Software Design, Debugging, Unit Testing, Programming Principles, Computer Programming, Test Tools, Scripting Languages, File Management, Development Environment, Software Testing, Development Testing, Data Structures, Scripting, Program Development, Software Installation, Microsoft Windows, Mac OS

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Security, Compliance, and Governance for AI Solutions

      Skills you'll gain: Data Governance, AWS Identity and Access Management (IAM), Cloud Security, Amazon Web Services, Cyber Governance, Information Systems Security, Security Controls

      4.6
      Rating, 4.6 out of 5 stars
      ·
      52 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      GenAI for PR Specialists

      Skills you'll gain: Generative AI Agents, Public Relations, Content Creation, Marketing and Public Relations, Corporate Communications, Media Relations, Productivity Software, Crisis Management, Team Leadership, Data Ethics, Promotions and Campaigns, Social Media Campaigns

      3.9
      Rating, 3.9 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Healthy Aging and the Future of Cannabis Research: University of Colorado Boulder
    • Learn to Teach Java: University of California San Diego
    • Diabetes Disease Detection with XG-Boost and Neural Networks: Coursera Project Network
    • Procesamiento de Imágenes: Pontificia Universidad Católica de Chile
    • 社会调查与研究方法 (上)Methodologies in Social Research (Part I): Peking University
    • Sprachtechnologie in den Digital Humanities: University of Zurich
    • R Ultimate 2023 - R for Data Science and Machine Learning: Packt
    • Gestão da Cadeia de Suprimentos: Fundação Instituto de Administração
    • Machine Learning Models in Science: LearnQuest
    • Learn to Code with Ruby: 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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