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    • Big Data Analytics

    Big Data Analytics Courses Online

    Master big data analytics for processing and analyzing large datasets. Learn to use tools like Hadoop, Spark, and NoSQL databases.

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    Explore the Big Data Analytics Course Catalog

    • U

      University of Michigan

      Python Basics

      Skills you'll gain: Debugging, Programming Principles, Python Programming, Data Structures, Scripting Languages, Computer Programming, Pseudocode, Computer Graphics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Macquarie University

      Excel Skills for Business: Intermediate I

      Skills you'll gain: Microsoft Excel, Dashboard, Spreadsheet Software, Excel Formulas, Data Analysis Expressions (DAX), Data Visualization, Consolidation, Business Reporting, Data Management, Data Cleansing, Automation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      17K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of California, Santa Cruz

      C and Go: Classical and Modern Programming

      Skills you'll gain: Go (Programming Language), Debugging, C (Programming Language), Data Structures, C++ (Programming Language), Object Oriented Design, Object Oriented Programming (OOP), Code Review, Programming Principles, Computer Programming, Unit Testing, Algorithms, Command-Line Interface, Program Development, Integrated Development Environments, Software Testing, Computer Science, Computational Thinking, File Management, Integration Testing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      7.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Overview of Data Visualization

      Skills you'll gain: Data Presentation, Data Literacy, Data Synthesis, Data Visualization Software, Google Sheets, Graphing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      398 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Digital Transformation Using AI/ML with Google Cloud

      Skills you'll gain: Serverless Computing, Digital Transformation, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Applied Machine Learning, Hybrid Cloud Computing, Infrastructure As A Service (IaaS), Cloud Computing, Public Cloud, Technical Management, Business Transformation, Containerization, Cloud-Native Computing, Multi-Cloud, IT Management, Machine Learning, Software As A Service

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.3K reviews

      Beginner · Specialization · 1 - 3 Months

    • M

      Microsoft

      Microsoft Azure Data Scientist Associate (DP-100) Exam Prep

      Skills you'll gain: Databricks, Unsupervised Learning, PySpark, Microsoft Azure, Apache Spark, Scikit Learn (Machine Learning Library), MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Data Visualization, Applied Machine Learning, Regression Analysis, Data Science, Predictive Modeling, Data Analysis, Image Analysis, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing

      4.2
      Rating, 4.2 out of 5 stars
      ·
      545 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • I

      Imperial College London

      Mathematics for Machine Learning: Linear Algebra

      Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Jupyter, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Google Analytics for Beginners: Marketing Essentials

      Skills you'll gain: Web Analytics, Google Analytics, Content Performance Analysis, Customer Analysis, E-Commerce, Marketing Analytics, Performance Analysis, Marketing Effectiveness

      Beginner · Guided Project · Less Than 2 Hours

    • G

      Google

      Assets, Threats, and Vulnerabilities

      Skills you'll gain: Threat Modeling, Threat Management, Vulnerability Management, Cyber Threat Intelligence, Cybersecurity, Cyber Attacks, Vulnerability Assessments, Threat Detection, MITRE ATT&CK Framework, Data Security, Cyber Risk, NIST 800-53, Authorization (Computing), Malware Protection, Authentications, Security Strategy, Security Controls, Risk Management Framework, Identity and Access Management, Encryption

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      S

      Stanford University

      Cryptography I

      Skills you'll gain: Cryptography, Data Encryption Standard, Encryption, Key Management, Advanced Encryption Standard (AES), Public Key Cryptography Standards (PKCS), Cybersecurity, Authentications, Data Integrity, Secure Coding, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.4K reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Data Analysis Using Pyspark

      Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Visualization, Data Analysis, Data Manipulation, Query Languages, Google Cloud Platform

      4.5
      Rating, 4.5 out of 5 stars
      ·
      301 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • I

      IBM

      IBM Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Generative AI, Dimensionality Reduction, Reinforcement Learning, Applied Machine Learning, Deep Learning, Data Analysis, Regression Analysis, Statistical Inference, Data Processing, Machine Learning, Statistical Analysis, Data Access, Statistical Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library)

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

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

    • Python Basics: University of Michigan
    • Excel Skills for Business: Intermediate I: Macquarie University
    • C and Go: Classical and Modern Programming: University of California, Santa Cruz
    • Overview of Data Visualization: Coursera Project Network
    • Digital Transformation Using AI/ML with Google Cloud: Google Cloud
    • Microsoft Azure Data Scientist Associate (DP-100) Exam Prep: Microsoft
    • Mathematics for Machine Learning: Linear Algebra: Imperial College London
    • Google Analytics for Beginners: Marketing Essentials: Coursera Project Network
    • Assets, Threats, and Vulnerabilities: Google
    • Cryptography I: Stanford 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 Analytics

    Big data analytics refers to the application of advanced data analysis techniques to datasets that are very large, diverse (including structured and unstructured data), and often arriving in real time. The ability to process data at this scale is increasingly essential to navigating today’s business world, and it is at the core of important applications such as machine learning, business intelligence, financial engineering, and other software tools to enable data-informed decision-making.

    Computer programs have been used to assist with data analysis for decades, but tools like Microsoft Excel and traditional relational database management systems (RDBMS) queried with SQL are not capable of handling today’s high-volume, high-velocity datasets. Instead, today’s data management professionals rely on high-powered data infrastructure designed to work with distributed file systems and cloud computing resources - particularly the open-source Apache Hadoop ecosystem, including high-speed data processing with Apache Spark and distributed SQL engines like Apache Hive.‎

    Organizations of all types and sizes are seeking ways to leverage the possibilities of big data to improve operations through reduced costs and faster decision-making, create new products and services, or advance our knowledge about the world. Big data analytics skills can thus open up a wide range of career opportunities, from working as a “quant” on Wall Street to developing navigation systems for autonomous vehicles to helping to discover more effective medicines and drugs in health science.

    Two of the most broadly-applicable roles in this field are data engineers, who build the data infrastructure needed to deliver big data-scale datasets efficiently and reliably, and the data scientists responsible for analyzing them. These roles are in high demand, and are highly-paid as well; according to Glassdoor, data engineers earn an average annual salary of $102,864, and data scientists earn an average annual salary of $113,309.‎

    Absolutely! Data science is one of the most popular topics to learn about on Coursera, and there are a variety of options to build your skills in big data analytics. You can take online courses and Specializations from top-ranked schools like the University of Pennsylvania and the University of California San Diego, as well as leading companies like IBM, PwC, Cloudera, and Google Cloud. And regardless of where you choose to learn from, Coursera gives you the ability to access course materials and complete assignments on a flexible schedule, making this a great fit for students and mid-career professionals alike.‎

    Before you start learning big data analytics, it’s helpful to have an understanding of database management and the fundamentals of how programming languages work. Specifically, experience with SQL, Python, Java, or R can be useful when studying big data analytics. You also may find it beneficial to know how to work with Hadoop and Linux and use basic math and statistics. Additionally, strong analytical skills and a curiosity about playing with data come in handy when you learn big data analytics.‎

    The right people for roles in big data analytics are inquisitive problem solvers who like working with numbers and using statistics to sort through large amounts of data. They typically have work experience or coursework in high-level math or computer programming. A background in behavioral analysis can also be useful for roles in big data analytics because individuals often seek to understand or predict what influences the behavior represented by data. Big data analysts may often need soft skills, such as communication and collaboration skills they use when explaining what they see in the data and working with team members on projects.‎

    If you like working with numbers and are comfortable using statistical techniques, learning big data analytics may be right for you. The amount of data collected on a daily basis is already massive and continues to grow, so organizations need analysts who can curate and prepare data for businesses, governments, and other groups to use. Learning big data analytics may interest you if you possess strong analytical and problem-solving skills and want to apply those skills to sorting and analyzing data to find what’s useful for a client. You may be able to use the knowledge you gain to land an internship or seek a career in data science filling roles in a variety of industries.‎

    Online Big Data Analytics courses offer a convenient and flexible way to enhance your existing knowledge or learn new Big Data Analytics skills. With a wide range of Big Data Analytics classes, you can conveniently learn at your own pace to advance your Big Data Analytics career skills.‎

    When looking to enhance your workforce's skills in Big Data Analytics, 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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