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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

    • J

      Johns Hopkins University

      Data Science in Real Life

      Skills you'll gain: Data Quality, Data Management, Technical Communication, Data Analysis, Data-Driven Decision-Making, Statistical Analysis, Data Science, Statistical Machine Learning, Statistical Inference, A/B Testing, Statistical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Algebra: Elementary to Advanced

      Skills you'll gain: Algebra, Mathematical Modeling, Graphing, Arithmetic, Advanced Mathematics, Applied Mathematics, General Mathematics, Data Modeling, Analytical Skills, Probability & Statistics, Linear Algebra, Geometry, Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      725 reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Introduction to Cybersecurity Essentials

      Skills you'll gain: Cybersecurity, Encryption, Cyber Attacks, Email Security, Computer Security Awareness Training, Security Awareness, Data Security, Network Security, Malware Protection, Authentications, Authorization (Computing), Security Controls, Hardening, Identity and Access Management, Information Privacy, Multi-Factor Authentication, System Configuration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      909 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Maryland, College Park

      Usable Security

      Skills you'll gain: Usability, Human Computer Interaction, Authentications, Security Engineering, Usability Testing, Human Factors, Information Privacy, Personally Identifiable Information, User Interface (UI) Design, Multi-Factor Authentication, User Centered Design, Design

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 3 Months

    • K

      Kennesaw State University

      Six Sigma Tools for Improve and Control

      Skills you'll gain: Six Sigma Methodology, Process Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Lean Six Sigma, Kaizen Methodology, Quality Improvement, Regression Analysis, Statistical Process Controls, Continuous Improvement Process, Process Capability, Quality Management, Project Management, Cost Benefit Analysis, Statistical Inference, Document Control

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • C

      ConsenSys Academy

      Blockchain: Foundations and Use Cases

      Skills you'll gain: Blockchain, Cryptography, Interoperability, FinTech, Emerging Technologies, Ledgers (Accounting), Business Modeling, Distributed Computing, Digital Assets, Data Sharing, Data Integrity, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      842 reviews

      Beginner · Course · 1 - 3 Months

    • T

      Tsinghua University

      Data Structures and Algorithms

      Skills you'll gain: Data Structures, Algorithms, Graph Theory, Computational Thinking, Programming Principles, Theoretical Computer Science, Database Design, Query Languages, Spatial Analysis, System Design and Implementation, Computational Logic, Computer Programming

      2.8
      Rating, 2.8 out of 5 stars
      ·
      39 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of California, Irvine

      Introduction to Business

      Skills you'll gain: Search Engine Marketing, Business Planning, Financial Statements, Keyword Research, Business Strategy, Digital Marketing, People Development, Strategic Leadership, Online Advertising, Search Engine Optimization, Leadership and Management, Content Marketing, Leadership Development, Accounting, Cash Flows, Financial Forecasting, Income Statement, Organizational Strategy, Profit and Loss (P&L) Management, Social Media Strategy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      642 reviews

      Beginner · Specialization · 1 - 3 Months

    • Y

      Yonsei University

      Spatial Data Science and Applications

      Skills you'll gain: Spatial Data Analysis, Geographic Information Systems, Geospatial Mapping, Database Management Systems, Big Data, Apache Hadoop, Data Modeling, PostgreSQL, Network Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      520 reviews

      Intermediate · Course · 1 - 3 Months

    • L

      LearnQuest

      Real-Time Big Data Access using HBase: Boosting Performance

      Skills you'll gain: Operational Databases, NoSQL, Real Time Data, Query Languages, Scalability, Database Design, Application Deployment, Data Manipulation, Performance Tuning, Data Modeling, Distributed Computing, Data Storage Technologies, Data Processing, Disaster Recovery

      Beginner · Course · 1 - 4 Weeks

    • S

      Stanford University

      Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

      Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Digital Media and Marketing Principles

      Skills you'll gain: Online Advertising, Digital Media Strategy, Digital Advertising, Digital Marketing, Marketing Communications, Marketing Strategies, Marketing, Integrated Marketing Communications, Electronic Media, Search Engine Marketing, Social Media Marketing, Media Planning, Mobile Banking, Communication, Emerging Technologies, Branding, Consumer Behaviour, Personalized Service

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.9K reviews

      Beginner · Course · 1 - 4 Weeks

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    1…767778…600

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

    • Data Science in Real Life: Johns Hopkins University
    • Algebra: Elementary to Advanced: Johns Hopkins University
    • Introduction to Cybersecurity Essentials: IBM
    • Usable Security: University of Maryland, College Park
    • Six Sigma Tools for Improve and Control: Kennesaw State University
    • Blockchain: Foundations and Use Cases: ConsenSys Academy
    • Data Structures and Algorithms: Tsinghua University
    • Introduction to Business: University of California, Irvine
    • Spatial Data Science and Applications: Yonsei University
    • Real-Time Big Data Access using HBase: Boosting Performance: LearnQuest

    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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