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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

      Diabetes Prediction With Pyspark MLLIB

      Skills you'll gain: Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Predictive Modeling, Regression Analysis, Machine Learning, Google Cloud Platform

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • D

      Dartmouth College

      Linux Basics: The Command Line Interface - 6

      Skills you'll gain: Command-Line Interface, Linux Commands, Linux, Embedded Software, Embedded Systems, Linux Servers, Computer Engineering, File Systems, Unix, Operating Systems, C (Programming Language), File Management, Computer Programming Tools, Performance Tuning, Open Source Technology, OS Process Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      Understanding and Applying Text Embeddings

      Skills you'll gain: Large Language Modeling, Anomaly Detection, Google Cloud Platform, Text Mining, Applied Machine Learning, Natural Language Processing, Semantic Web, Unsupervised Learning, Unstructured Data

      4.8
      Rating, 4.8 out of 5 stars
      ·
      63 reviews

      Beginner · Project · Less Than 2 Hours

    • U

      University of Colorado Boulder

      Musician’s Professional Toolbox: Your Portfolio Career

      Skills you'll gain: Productivity, Brand Strategy, Market Research, Professional Networking, Time Management, Branding, Target Audience, Business Modeling, Prioritization, Social Media Marketing, Photo/Video Production and Technology, Promotional Materials, Goal Setting, Business Strategy, Marketing Materials, Business Planning, Recruitment, Music Performance, Presentations, Writing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      14 reviews

      Intermediate · Specialization · 3 - 6 Months

    • 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

    • C

      Coursera Project Network

      Interactive Statistical Data Visualization 101

      Skills you'll gain: Plotly, Plot (Graphics), Statistical Visualization, Box Plots, Scatter Plots, Interactive Data Visualization, Data Visualization Software, Histogram

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      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
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      I

      IBM

      Object Oriented Programming in Java

      Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Java, Java Programming, File Management, Application Development, Computer Programming, Program Development, Data Structures, Data Management

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      J

      Johns Hopkins University

      Introduction to Using Generative AI in Public Health

      Skills you'll gain: Prompt Engineering, Large Language Modeling, ChatGPT, Generative AI, Healthcare Ethics, Public Health, Data Ethics, Public Health and Disease Prevention, Health Policy, Medical Science and Research, Artificial Intelligence, Microsoft Copilot, Health Equity, Emerging Technologies

      Mixed · Course · 1 - 4 Weeks

    • A

      Automatic Data Processing, Inc. (ADP)

      Creating Trust & Support

      Skills you'll gain: Trustworthiness, Team Building, Team Motivation, Team Leadership, Teamwork, Honesty, Relationship Building, Empathy, Collaboration

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      APIs in Java: Call and Integrate an API

      Skills you'll gain: Restful API, Application Programming Interface (API), Postman API Platform, Java, Apache Maven, Eclipse (Software)

      Intermediate · Guided Project · Less Than 2 Hours

    • D

      Duke University

      Databricks to Local LLMs

      Skills you'll gain: Databricks, Generative AI, Data Lakes, Extract, Transform, Load, MLOps (Machine Learning Operations), Data Transformation, Data Pipelines, Large Language Modeling, Apache Spark, Analytics, Data Analysis, Data Ethics, Data Science, CI/CD, Data Governance

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Beginner · 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
    Data Architecture
    1…323324325…595

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

    • Diabetes Prediction With Pyspark MLLIB: Coursera Project Network
    • Linux Basics: The Command Line Interface - 6: Dartmouth College
    • Understanding and Applying Text Embeddings: DeepLearning.AI
    • Musician’s Professional Toolbox: Your Portfolio Career: University of Colorado Boulder
    • Reliable Cloud Infrastructure: Design and Process dalam bahasa Indonesia: Google Cloud
    • Interactive Statistical Data Visualization 101: Coursera Project Network
    • GenAI for PR Specialists: Coursera Instructor Network
    • Object Oriented Programming in Java: IBM
    • Introduction to Using Generative AI in Public Health: Johns Hopkins University
    • Creating Trust & Support: Automatic Data Processing, Inc. (ADP)

    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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