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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 California San Diego

      Big Data

      Skills you'll gain: Apache Spark, Graph Theory, Data Pipelines, Exploratory Data Analysis, Data Integration, Data Modeling, Big Data, Data Management, Data Store, Box Plots, Database Management Systems, Apache Hadoop, Databases, Network Analysis, Applied Machine Learning, Database Systems, Regression Analysis, Scatter Plots, Data Processing, MongoDB

      4.5
      Rating, 4.5 out of 5 stars
      ·
      14K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Big Data with Spark and Hadoop

      Skills you'll gain: Apache Spark, Apache Hadoop, PySpark, Apache Hive, Big Data, Data Processing, Performance Tuning, Distributed Computing, Development Environment, Scalability, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      448 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Introduction to Big Data

      Skills you'll gain: Apache Hadoop, Big Data, Data Processing, Docker (Software), Data Analysis, Distributed Computing, Data Science, Unstructured Data, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      NoSQL, Big Data, and Spark Foundations

      Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, PySpark, MongoDB, Apache Hive, Big Data, Apache Cassandra, Machine Learning, Extract, Transform, Load, Applied Machine Learning, Generative AI, Supervised Learning, Databases, Data Pipelines, Data Processing, IBM Cloud, Scalability, Unsupervised Learning, Database Architecture and Administration

      4.5
      Rating, 4.5 out of 5 stars
      ·
      778 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Big Data Processing Using Hadoop

      Skills you'll gain: Apache Spark, Apache Hive, Apache Hadoop, Data Processing, Big Data, NoSQL, Data Manipulation, Databases, File Systems, Database Systems, Data Infrastructure, Data Analysis Software, Analytics, Query Languages, Data Transformation, Data Architecture, Data Structures, Java, Distributed Computing, Scalability

      Intermediate · Specialization · 3 - 6 Months

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

      Illinois Tech

      Data Analytics and Big Data

      Skills you'll gain: Relational Databases, Histogram, Apache Spark, Data Analysis, NoSQL, Database Design, Database Management, Transaction Processing, Database Development, Big Data, Database Theory, Classification And Regression Tree (CART), Regression Analysis, Statistical Analysis, Apache Kafka, Stored Procedure, SQL, Databases, Analytics, Apache Hadoop

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      68 reviews

      Intermediate · Specialization · 3 - 6 Months

    What brings you to Coursera today?

    • Status: Preview
      Preview
      C

      Coursera Instructor Network

      Big Data Technologies and Applications

      Skills you'll gain: Big Data, Data Processing, Data Analysis, Analytics, Data Storage Technologies, Real Time Data, Apache Hadoop, Apache Spark, Data Storage, Distributed Computing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      G

      Google

      Google Data Analytics

      Skills you'll gain: Data Presentation, Data Storytelling, Data Cleansing, Data Visualization, Data Validation, Rmarkdown, Data Integrity, Interactive Data Visualization, Data Ethics, Dashboard, Ggplot2, Data Quality, Stakeholder Communications, Data Literacy, Data Visualization Software, Data Analysis, SQL, Interviewing Skills, Analytical Skills, Applicant Tracking Systems

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      172K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Web Scraping, Python Programming, Data Collection, Object Oriented Programming (OOP), Pandas (Python Package), Programming Principles, Data Structures, NumPy, Data Processing, Data Manipulation, Application Programming Interface (API), Data Import/Export, Computer Programming, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      42K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Data Engineering

      Skills you'll gain: NoSQL, Data Warehousing, IBM Cognos Analytics, Dashboard, Data Visualization, Apache Spark, Apache Hadoop, SQL, Linux Commands, Database Administration, Web Scraping, Data Pipelines, Database Design, Extract, Transform, Load, Interviewing Skills, Generative AI, Jupyter, Python Programming, Data Science, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Data Analytics

      Skills you'll gain: Data Storytelling, Data Visualization, Extract, Transform, Load, Data Analysis, Statistical Analysis, Big Data, Data Wrangling, Data Processing, Data Mining, Analytics, Data Warehousing, Data Science, Data Cleansing, Data Lakes, Data Collection, Relational Databases, Microsoft Excel

      4.8
      Rating, 4.8 out of 5 stars
      ·
      19K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      M

      Microsoft

      Microsoft Power BI Data Analyst

      Skills you'll gain: Power BI, Datamaps, Microsoft Excel, Microsoft Power Platform, Data Analysis, Data Visualization, Data Collection, Business Intelligence, Data Integration, Data Pipelines, Application Deployment, Database Design, Data Manipulation, Data Security, Microsoft 365, Timelines, Business Modeling, Data Mapping, Business Analytics, SQL

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.8K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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    1234…659

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

    • Big Data: University of California San Diego
    • Introduction to Big Data with Spark and Hadoop: IBM
    • Introduction to Big Data: University of California San Diego
    • NoSQL, Big Data, and Spark Foundations: IBM
    • Big Data Processing Using Hadoop: Johns Hopkins University
    • Data Analytics and Big Data: Illinois Tech
    • Big Data Technologies and Applications: Coursera Instructor Network
    • Google Data Analytics: Google
    • Python for Data Science, AI & Development: IBM
    • IBM Data Engineering: IBM

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    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, 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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