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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

    • G

      Google

      The Bits and Bytes of Computer Networking

      Skills you'll gain: Computer Networking, Network Troubleshooting, Network Administration, TCP/IP, Network Protocols, Network Routing, Dynamic Host Configuration Protocol (DHCP), Virtual Private Networks (VPN), Network Security, Wireless Networks, Network Model, Data Integrity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      51K reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Natural Language Processing

      Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Algorithms, Keras (Neural Network Library), Linear Algebra, Data Cleansing, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • I
      I

      Multiple educators

      IBM and ISC2 Cybersecurity Specialist

      Skills you'll gain: Network Security, Incident Response, Cloud Computing Architecture, Peripheral Devices, Penetration Testing, Computer Security Incident Management, Cloud Services, Security Controls, Business Continuity, Disaster Recovery, Information Assurance, Configuration Management, Cybersecurity, Computing Platforms, Cloud Security, Cloud Technologies, Cloud Infrastructure, Network Troubleshooting, Cloud Platforms, Cloud Hosting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Introduction to Accounting Data Analytics and Visualization

      Skills you'll gain: Tableau Software, Data Visualization Software, Excel Macros, Analytics, Accounting and Finance Software, Specialized Accounting, Analytical Skills, Pivot Tables And Charts, Accounting Systems, Business Analytics, Microsoft Excel, Data Collection, Data-Driven Decision-Making, Data Analysis, Regression Analysis

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      442 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Engineer

      Skills you'll gain: Cloud Infrastructure, Kubernetes, Google Cloud Platform, Identity and Access Management, Prompt Engineering, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Cloud Computing Architecture, Cloud Management, Cloud Services, Load Balancing, Cloud Engineering, Application Deployment, Infrastructure as Code (IaC), Virtual Machines, Cloud Computing, Data Storage, Network Infrastructure, Docker (Software)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      59K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • V

      Vanderbilt University

      ChatGPT Advanced Data Analysis

      Skills you'll gain: Prompt Engineering, Data Presentation, ChatGPT, Document Management, Artificial Intelligence, Microsoft Excel, Problem Solving, Data Analysis, Generative AI, Information Management, File Management, Creativity, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      772 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Architect

      Skills you'll gain: Cloud Infrastructure, Kubernetes, Google Cloud Platform, Identity and Access Management, Prompt Engineering, Application Deployment, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Cloud Computing, CI/CD, Cloud Computing Architecture, Cloud Security, Cloud Management, Cloud Services, Load Balancing, Service Level Agreement, Infrastructure as Code (IaC), Virtual Machines, Process Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      59K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      I

      Illinois Tech

      Data Analytics and Big Data

      Skills you'll gain: Database Design, Relational Databases, Database Systems, Database Management, NoSQL, Database Theory, Databases, Machine Learning Algorithms, SQL, Database Development, Big Data, Apache Hadoop, Database Management Systems, MySQL, Transaction Processing, Statistical Analysis, Data Visualization, Data Analysis, Apache Spark, Data Modeling

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      61 reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud DevOps Engineer

      Skills you'll gain: Site Reliability Engineering, Kubernetes, Application Performance Management, Google Cloud Platform, Cloud Infrastructure, System Monitoring, Prompt Engineering, Application Deployment, Identity and Access Management, DevOps, CI/CD, Containerization, Cloud Storage, Cloud Security, Cloud Services, Cloud Management, Service Level Agreement, Safety Culture, Event Monitoring, Culture Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      54K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Object-Oriented Data Structures in C++

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Development Environment, Engineering Software, Computer Programming, Software Engineering, Data Structures, Debugging, Program Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Jupyter, Data Manipulation, Data Science, Applied Mathematics, Python Programming, Image Analysis, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google

      Crash Course on Python

      Skills you'll gain: Programming Principles, Scripting, Python Programming, Computer Programming, Computational Thinking, Algorithms, Data Structures, Integrated Development Environments, Debugging, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      39K reviews

      Beginner · Course · 1 - 3 Months

    Big Data Analytics learners also search

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

    • The Bits and Bytes of Computer Networking: Google
    • Natural Language Processing: DeepLearning.AI
    • IBM and ISC2 Cybersecurity Specialist: ISC2
    • Introduction to Accounting Data Analytics and Visualization: University of Illinois Urbana-Champaign
    • Preparing for Google Cloud Certification: Cloud Engineer: Google Cloud
    • ChatGPT Advanced Data Analysis: Vanderbilt University
    • Preparing for Google Cloud Certification: Cloud Architect: Google Cloud
    • Data Analytics and Big Data: Illinois Tech
    • Preparing for Google Cloud Certification: Cloud DevOps Engineer: Google Cloud
    • Object-Oriented Data Structures in C++: University of Illinois Urbana-Champaign

    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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