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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

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Everyday Excel, Part 1

      Skills you'll gain: Data Import/Export, Microsoft Excel, Data Visualization, Data Management, Excel Macros, Excel Formulas, Data Validation, Microsoft Word, Microsoft PowerPoint

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      A

      Alberta Machine Intelligence Institute

      Ethics and Responsible Practices in GenAI

      Skills you'll gain: Data Ethics, Business Ethics, Generative AI, Ethical Standards And Conduct, Artificial Intelligence, Law, Regulation, and Compliance, Regulatory Compliance, Regulatory Requirements, Governance, Information Privacy, Accountability, Social Studies, Data Security

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Flutter & Dart - Complete App Development Course

      Skills you'll gain: Flutter (Software), Mobile Development, User Interface (UI), JSON, User Interface and User Experience (UI/UX) Design, UI Components, Cross Platform Development, iOS Development, Maintainability, Object Oriented Programming (OOP), Database Development, Microsoft Visual Studio, Development Environment, Databases, Application Development, Interactive Data Visualization, Debugging, Data Storage Technologies, Programming Principles, Computer Programming

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Practical C++: Learn C++ Basics Step by Step

      Skills you'll gain: Object Oriented Programming (OOP), C++ (Programming Language), Development Environment, Programming Principles, Computer Programming, Maintainability, Data Structures, Command-Line Interface, Debugging

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Generative AI and its Impact on Cybersecurity

      Skills you'll gain: MITRE ATT&CK Framework, Generative AI, Cyber Threat Intelligence, Cyber Security Strategy, Cybersecurity, Threat Modeling, Computer Security, Cyber Attacks, Threat Detection, Artificial Intelligence, Anomaly Detection, Data Ethics, Information Privacy, Innovation

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Databases for Data Scientists

      Skills you'll gain: Database Design, SQL, Database Management Systems, NoSQL, Data Warehousing, Relational Databases, Database Architecture and Administration, Databases, Database Management, Database Systems, Database Theory, Data Modeling, Query Languages, Big Data, Data Integrity, Data Access, Data Analysis, Data Manipulation, Data Processing, Transaction Processing

      Build toward a degree

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

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Business Model & Product Pitch

      Skills you'll gain: Business Modeling, Entrepreneurship, Growth Strategies, Price Negotiation, Business Planning, Financial Modeling, Cost Accounting, Product Strategy, Product Development, New Product Development, Business Strategies, Value Propositions, Presentations, Business Metrics, Customer Acquisition Management, Market Analysis, Fundraising

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      L

      LearnKartS

      Introduction to AI and Machine Learning

      Skills you'll gain: AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Natural Language Processing, Amazon Web Services, Supervised Learning, Machine Learning Algorithms, Feature Engineering, Machine Learning, Artificial Neural Networks, Deep Learning, Data Processing, Data Wrangling

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Microsoft Sentinel Advanced Course - Secure Azure Like a Pro

      Skills you'll gain: Microsoft Azure, Infrastructure as Code (IaC), Azure DevOps, DevSecOps, Terraform, Infrastructure As A Service (IaaS), Continuous Integration, CI/CD, Continuous Deployment, Security Information and Event Management (SIEM), Windows PowerShell, GitHub, Git (Version Control System), Automation, Query Languages

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Web Application Security Testing with Google Hacking

      Skills you'll gain: Penetration Testing, Security Testing, Vulnerability Scanning, Application Security, Vulnerability Assessments, Infrastructure Security, Web Applications, Data Security, Web Servers, SQL

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      N

      National Academy of Sports Medicine

      Mindful Eating

      Skills you'll gain: Nutrition Education, Nutrition and Diet, Mental Concentration, Mindfulness, Self-Awareness, Decision Making, Stress Management, Mental Health

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Database Management and Core Application Development

      Skills you'll gain: ASP.NET, Database Development, C# (Programming Language), Back-End Web Development, Database Management, Database Design, Object-Relational Mapping, Application Frameworks, Model View Controller, Web Applications, Software Design Patterns, Authentications, Maintainability, Business Logic, Authorization (Computing), Data Modeling, Performance Tuning, Data Migration, Data Mapping, Data Validation

      Intermediate · Course · 1 - 3 Months

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

    • Everyday Excel, Part 1: University of Colorado Boulder
    • Ethics and Responsible Practices in GenAI: Alberta Machine Intelligence Institute
    • Flutter & Dart - Complete App Development Course: Packt
    • Practical C++: Learn C++ Basics Step by Step: Packt
    • Generative AI and its Impact on Cybersecurity: Packt
    • Databases for Data Scientists: University of Colorado Boulder
    • Business Model & Product Pitch: University of Minnesota
    • Introduction to AI and Machine Learning: LearnKartS
    • Microsoft Sentinel Advanced Course - Secure Azure Like a Pro: Packt
    • Web Application Security Testing with Google Hacking: Packt

    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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