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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 Trial
      Free Trial
      G

      Google Cloud

      Reliable Cloud Infrastructure: Design and Process dalam bahasa Indonesia

      Skills you'll gain: Application Deployment, Cloud Infrastructure, Google App Engine, Microservices, CI/CD, API Design, Site Reliability Engineering, Google Cloud Platform, Service Level, Network Architecture, Kubernetes, Restful API, Cloud Computing Architecture, DevOps, Cloud Storage, Cloud Security, Data Storage, Systems Architecture, Scalability, System Monitoring

      4.9
      Rating, 4.9 out of 5 stars
      ·
      227 reviews

      Intermediate · Course · 1 - 3 Months

    • B

      Board Infinity

      Data Visualization with Tableau

      Skills you'll gain: Data Storytelling, Data Presentation, Dashboard, Data Visualization Software, Interactive Data Visualization, Tableau Software, Data Transformation, Exploratory Data Analysis, Scatter Plots, Heat Maps, Histogram, Data Manipulation, Data Import/Export

      3.7
      Rating, 3.7 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Regression and Classification

      Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Data Science, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Regression Analysis, Predictive Modeling, Statistical Inference, Applied Machine Learning, Supervised Learning, Unsupervised Learning, Machine Learning Algorithms

      Build toward a degree

      3.9
      Rating, 3.9 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Using Sensors With Your Raspberry Pi

      Skills you'll gain: Data Processing, Technical Design, Data Science, Embedded Software, Data Cleansing, Data Analysis Software, Statistical Methods, Analytical Skills, Real Time Data, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: Capstone Project

      Skills you'll gain: Bayesian Statistics, Technical Communication, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Advanced Analytics, Time Series Analysis and Forecasting, Markov Model, Statistical Methods, Predictive Modeling, Sampling (Statistics), Probability Distribution

      Advanced · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Introduction to Computer Vision

      Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Deep Learning, Data Ethics, Computational Thinking, Artificial Intelligence, Data Processing, Linear Algebra, Probability Distribution

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Project Network

      Dynamic Dashboards with Tableau: Advanced Sales Analysis

      Skills you'll gain: Dashboard, Data Visualization, Interactive Data Visualization, Data Presentation, Tableau Software, Data Visualization Software, Exploratory Data Analysis, Data Analysis

      Intermediate · Guided Project · Less Than 2 Hours

    • M

      Macquarie University

      Навыки Excel для бизнеса: Основы

      Skills you'll gain: Data Visualization, Microsoft Excel, Spreadsheet Software, Excel Formulas, Data Management, Data Entry, Productivity Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      24 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      IoT Networking

      Skills you'll gain: Network Infrastructure, General Networking, Network Protocols, Network Routers, Network Architecture, Internet Of Things, Wireless Networks, Local Area Networks, Wide Area Networks, Network Switches, Virtual Local Area Network (VLAN), Network Planning And Design, Network Security

      4.9
      Rating, 4.9 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 1 - 4 Weeks

    • V

      Vanderbilt University

      Qualitative Methods for Quantitative People (with GenAI)

      Skills you'll gain: Large Language Modeling, Decision Making, Team Management, Resource Allocation, Generative AI, Qualitative Research, Prompt Engineering, Analysis, Communication, Data Ethics, Quantitative Research, Data-Driven Decision-Making, Unstructured Data, Data Synthesis, Artificial Intelligence

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Malware and Network Anomaly Detection

      Skills you'll gain: Anomaly Detection, Intrusion Detection and Prevention, Malware Protection, Continuous Monitoring, Threat Detection, Network Analysis, Cybersecurity, System Design and Implementation, Network Security, Machine Learning Software, Machine Learning Methods, Performance Testing, Machine Learning Algorithms, Machine Learning, Supervised Learning, Microsoft Windows

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Goodwill Industries International

      The Digital Divide

      Skills you'll gain: Disabilities, Web Content Accessibility Guidelines, Diversity Equity and Inclusion Initiatives, Digital Communications, Computer Security Awareness Training, Community Development, Community Outreach, End User Training and Support, Telecommunications, Data Access

      4.6
      Rating, 4.6 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…307308309…606

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

    • Reliable Cloud Infrastructure: Design and Process dalam bahasa Indonesia: Google Cloud
    • Data Visualization with Tableau: Board Infinity
    • Regression and Classification: University of Colorado Boulder
    • Using Sensors With Your Raspberry Pi: Johns Hopkins University
    • Bayesian Statistics: Capstone Project: University of California, Santa Cruz
    • Introduction to Computer Vision: University of Colorado Boulder
    • Dynamic Dashboards with Tableau: Advanced Sales Analysis: Coursera Project Network
    • Навыки Excel для бизнеса: Основы: Macquarie University
    • IoT Networking: University of Illinois Urbana-Champaign
    • Qualitative Methods for Quantitative People (with GenAI): Vanderbilt University

    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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