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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: New
      New
      S

      Simplilearn

      AI ML with Deep Learning and Supervised Models

      Skills you'll gain: Supervised Learning, Data Modeling, Data Analysis, Regression Analysis, Unsupervised Learning, Artificial Intelligence, Classification And Regression Tree (CART), Machine Learning Algorithms, Tensorflow, Deep Learning, Keras (Neural Network Library), Machine Learning, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Predictive Analytics, Data Ethics, Algorithms, Random Forest Algorithm, Computer Vision

      Beginner · Specialization · 1 - 3 Months

    • G

      Google Cloud

      Creating a Streaming Data Pipeline With Apache Kafka

      Skills you'll gain: Apache Kafka, Data Pipelines, Google Cloud Platform, Java, Public Cloud

      3.8
      Rating, 3.8 out of 5 stars
      ·
      27 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: New
      New
      X

      Xbox

      Product Launch and Post-Launch Management

      Skills you'll gain: Product Planning, Product Management, New Product Development, Quality Assurance and Control, Sales Strategy, Performance Analysis, Product Marketing, Product Lifecycle Management, Generative AI Agents, Product Testing, Release Management, Continuous Improvement Process, Cross-Functional Collaboration, Customer Insights, Data-Driven Decision-Making

      4.4
      Rating, 4.4 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Deep Learning with PyTorch : Siamese Network

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • Status: New
      New
      G

      Google

      Speed Up Data Analysis and Presentation Building

      Skills you'll gain: Data Presentation, Data Storytelling, Sampling (Statistics), Prompt Engineering, Presentations, Graphing, Data Ethics, Excel Formulas, Data Analysis, Artificial Intelligence

      Beginner · Course · 1 - 4 Weeks

    • C

      Columbia University

      HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Social/Peer Perspective)

      Skills you'll gain: Care Coordination, Patient Coordination, Health Informatics, Case Management, Health Technology, Health Care, Health Systems, Risk Management, Patient Education and Support, Health Information Management, Electronic Medical Record, Health Policy, Interoperability, Community Health, Data Sharing, Community and Social Work, Quality Assurance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      29 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Introducción a los Data Lakes con Azure

      Skills you'll gain: Data Lakes, File Management, Microsoft Azure, Information Management, Data Management, Data Storage Technologies

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of California, Irvine

      Interviewing, Negotiating a Job Offer, and Career Planning

      Skills you'll gain: Goal Setting, Interviewing Skills, Negotiation, Professional Development, Planning, Personal Development, Technical Communication, Communication, Critical Thinking and Problem Solving, Verbal Communication Skills

      5
      Rating, 5 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Build Customizable Sales Presentation Graphics using Canva

      Skills you'll gain: Data Visualization, Sales Process, Sales Presentations, Customer Relationship Management (CRM) Software, Target Market, Target Audience, Market Analysis, Presentations, User Accounts

      4.7
      Rating, 4.7 out of 5 stars
      ·
      26 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Designing and Querying Bigtable Schemas

      Skills you'll gain: Database Design, Google Cloud Platform, Data Access, Big Data, Command-Line Interface

      Beginner · Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Create a Mortgage Calculator in Excel

      Skills you'll gain: Financial Data, Microsoft Excel, Spreadsheet Software, Excel Formulas, Microsoft 365, Financial Modeling, Mortgage Loans, Loans, Timelines

      4.3
      Rating, 4.3 out of 5 stars
      ·
      29 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      J

      Johns Hopkins University

      Управление анализом данных

      Skills you'll gain: Data Presentation, Data Literacy, Data Collection, Data Analysis, Data Management, Analytical Skills, Management Reporting, Exploratory Data Analysis, Data Modeling, Statistical Analysis, Statistical Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      46 reviews

      Mixed · Course · 1 - 4 Weeks

    Big Data learners also search

    Big Data Analytics
    Beginner Big Data
    Big Data Projects
    Advanced Big Data
    Data Engineering
    Python Data Science
    Computer Science
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    1…326327328…597

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

    • AI ML with Deep Learning and Supervised Models: Simplilearn
    • Creating a Streaming Data Pipeline With Apache Kafka: Google Cloud
    • Product Launch and Post-Launch Management: Xbox
    • Deep Learning with PyTorch : Siamese Network: Coursera Project Network
    • Speed Up Data Analysis and Presentation Building: Google
    • HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Social/Peer Perspective): Columbia University
    • Introducción a los Data Lakes con Azure: Coursera Project Network
    • Interviewing, Negotiating a Job Offer, and Career Planning: University of California, Irvine
    • Build Customizable Sales Presentation Graphics using Canva: Coursera Project Network
    • Designing and Querying Bigtable Schemas: Google Cloud

    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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