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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: New
      New
      J

      Johns Hopkins University

      État civil et statistiques pour la santé des populations

      Skills you'll gain: Public Health, Public Health and Disease Prevention, Health Equity, Health Information Management and Medical Records, Demography, Vital Signs, Health Policy, Maternal Health, Chronic Diseases, Data Quality, Data Collection, Medical History Documentation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Introduction to Programming with C#12 and .NET8

      Skills you'll gain: GitHub, Version Control, Object Oriented Programming (OOP), Debugging, Development Environment, C# (Programming Language), Microsoft Visual Studio, Microsoft Development Tools, Computer Programming, Programming Principles, Integrated Development Environments, .NET Framework, Data Structures

      Beginner · Course · 3 - 6 Months

    • G

      Google Cloud

      Gemini for Data Scientists and Analysts - Deutsch

      Skills you'll gain: Google Cloud Platform, Customer Analysis, Generative AI, Marketing Analytics, Big Data, Analytics, Advanced Analytics, Customer Insights, Data-Driven Decision-Making, Data Analysis, Predictive Modeling, Applied Machine Learning, Marketing Strategies, Forecasting

      Beginner · Course · 1 - 4 Weeks

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

      Packt

      Modern JavaScript Tooling, Modules, and Backend Integration

      Skills you'll gain: Jest (JavaScript Testing Framework), Node.JS, Full-Stack Web Development, Webpack, Application Deployment, Web Development Tools, Unit Testing, Back-End Web Development, Restful API, Application Development, Web Development, MongoDB, Javascript, Front-End Web Development, Data Structures

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Building Resilient Streaming Analytics Systems on GCP IT

      Skills you'll gain: Real Time Data, Data Pipelines, Google Cloud Platform, Data Transformation, Big Data, Data Processing, Advanced Analytics, Data Storage Technologies, Performance Analysis, Performance Tuning, Scalability

      Intermediate · Course · 1 - 3 Months

    • C

      Capitals Coalition

      Valorizar a natureza e pessoas para melhor tomada de decisão

      Skills you'll gain: Stakeholder Engagement, Stakeholder Management, Environmental Social And Corporate Governance (ESG), Corporate Sustainability, Business Risk Management, Business Valuation, Cost Benefit Analysis, Sustainability Reporting, Natural Resource Management, Human Capital, Decision Making, Project Scoping, Data Collection

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Authentic Node.js WebSocket Server Workshop

      Skills you'll gain: Node.JS, Web Servers, Full-Stack Web Development, Back-End Web Development, Network Protocols, Debugging, Javascript, Web Applications, Cryptography, TCP/IP, Real Time Data

      Intermediate · Course · 1 - 3 Months

    • 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

    • G

      Google Cloud

      Managing Security in Google Cloud - Português Brasileiro

      Skills you'll gain: Identity and Access Management, Cloud Security, Google Cloud Platform, Cloud Computing, Role-Based Access Control (RBAC), Threat Management, Authorization (Computing), User Provisioning, Cloud Services, Network Security, Threat Detection, Firewall, Encryption, Load Balancing

      Intermediate · Course · 1 - 3 Months

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

      Packt

      Advanced Development, Deployment, and Cloud Integration

      Skills you'll gain: ASP.NET, Application Deployment, Microsoft Azure, Cloud Applications, Software Architecture, Scalability, Authentications, User Interface (UI), .NET Framework, Software Design, Maintainability, UI/UX Strategy, Model View Controller, Secure Coding, Application Servers, Microsoft SQL Servers, Database Development, Debugging, Data Validation

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Modernizing Data Lakes & Data Warehouses with GC - Italiano

      Skills you'll gain: Data Lakes, Data Warehousing, Data Pipelines, Data Infrastructure, Data Architecture, Cloud Engineering, Cloud Storage, Google Cloud Platform, Data Storage, Big Data, Data Storage Technologies, Data Processing, Database Design, SQL

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera

      YouTube Insights: Crack the Algorithm

      Skills you'll gain: Content Performance Analysis, Content Strategy, Web Analytics, Content Creation, Social Media Content, Social Media Strategy, Digital Content, Key Performance Indicators (KPIs), Performance Metric, Growth Strategies, Performance Analysis, Digital Media Strategy, Promotional Strategies, Target Audience, Customer Insights

      Beginner · Course · 1 - 4 Weeks

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

    • État civil et statistiques pour la santé des populations: Johns Hopkins University
    • Introduction to Programming with C#12 and .NET8: Packt
    • Gemini for Data Scientists and Analysts - Deutsch: Google Cloud
    • Modern JavaScript Tooling, Modules, and Backend Integration: Packt
    • Building Resilient Streaming Analytics Systems on GCP IT: Google Cloud
    • Valorizar a natureza e pessoas para melhor tomada de decisão: Capitals Coalition
    • Authentic Node.js WebSocket Server Workshop: Packt
    • Web Application Security Testing with Google Hacking: Packt
    • Managing Security in Google Cloud - Português Brasileiro: Google Cloud
    • Advanced Development, Deployment, and Cloud Integration: 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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