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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
      P

      Packt

      Visual Design of UI & Backends with AWS Amplify Studio

      Skills you'll gain: Full-Stack Web Development, Application Deployment, Development Environment, Authentications, Figma (Design Software), File Management, Amazon Web Services, Application Development, Authorization (Computing), React.js, User Interface (UI), Cloud Hosting, User Interface (UI) Design, Data Modeling

      Intermediate · Course · 3 - 6 Months

    • C

      Coursera Project Network

      Créer un diagramme de Brainstorming avec Creately

      Skills you'll gain: Brainstorming, Process Flow Diagrams, Ideation, Personalized Service, Data Import/Export, Productivity Software, Account Management, Collaborative Software, Cloud Applications

      Beginner · Guided Project · Less Than 2 Hours

    • T

      Tecnológico de Monterrey

      Criando uma estratégia digital vencedora

      Skills you'll gain: Search Engine Marketing, Digital Marketing, Search Engine Optimization, Social Media Strategy, Web Content, Content Strategy, Digital Advertising, Web Analytics and SEO, Content Creation, Email Marketing, Digital Communications, E-Commerce, Target Audience

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Achieving Advanced Insights with BigQuery - Português

      Skills you'll gain: SQL, Google Cloud Platform, Data Architecture, Data Security, Performance Tuning, Data Warehousing, Data Manipulation, Data Modeling, Scalability, Data Analysis

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      كيفية استخدام التطبيق كونستانت كونتاكت

      Skills you'll gain: Email Marketing, Marketing Analytics, Customer Engagement, Customer Communications Management, Customer Relationship Management, User Accounts, Software As A Service

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Maryland, College Park

      Digital Marketing 2

      Skills you'll gain: Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Analytics, Big Data, Google Analytics, Digital Marketing, Search Engine Marketing, Paid media, Web Analytics, Web Analytics and SEO, Online Advertising, Digital Advertising, Marketing Effectiveness, A/B Testing, Applied Machine Learning, Marketing Automation, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Exploring Data Transformation with Google Cloud - Português Brasileiro

      Skills you'll gain: Digital Transformation, Data Warehousing, Google Cloud Platform, Data Governance, Looker (Software), Data Transformation, Data Management, Cloud Storage, Big Data, Real Time Data, Data Migration, Business Intelligence, Data-Driven Decision-Making, Data Pipelines

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Attention Mechanism - 日本語版

      Skills you'll gain: Machine Learning Methods, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Text Mining, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Security Best Practices in Google Cloud - Español

      Skills you'll gain: Cloud Security, Google Cloud Platform, Identity and Access Management, OAuth, Kubernetes, Encryption, Cloud Computing, Application Security, Authorization (Computing), Data Encryption Standard, Cloud Storage, Authentications, Data Security, Application Programming Interface (API), Virtual Machines, Vulnerability Scanning, Key Management

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Créer des maquettes professionnelles avec Moqups

      Skills you'll gain: Mockups, Visualization (Computer Graphics), Wireframing, Web Design, Prototyping, User Interface and User Experience (UI/UX) Design, Collaborative Software, Data Sharing

      Beginner · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Gemini for Data Scientists and Analysts - Français

      Skills you'll gain: Marketing Analytics, Analytics, Customer Analysis, Generative AI, Data Analysis, Customer Insights, Google Cloud Platform, Customer Data Management, Marketing Strategies, Predictive Modeling, Customer Acquisition Management, Forecasting, Machine Learning Algorithms

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - Español

      Skills you'll gain: Generative AI, Workflow Management, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Jupyter, Google Cloud Platform, SQL, Applied Machine Learning, Customer Relationship Management, Query Languages

      Intermediate · Course · 1 - 4 Weeks

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

    • Visual Design of UI & Backends with AWS Amplify Studio: Packt
    • Créer un diagramme de Brainstorming avec Creately: Coursera Project Network
    • Criando uma estratégia digital vencedora: Tecnológico de Monterrey
    • Achieving Advanced Insights with BigQuery - Português: Google Cloud
    • كيفية استخدام التطبيق كونستانت كونتاكت: Coursera Project Network
    • Digital Marketing 2: University of Maryland, College Park
    • Exploring Data Transformation with Google Cloud - Português Brasileiro: Google Cloud
    • Attention Mechanism - 日本語版: Google Cloud
    • Security Best Practices in Google Cloud - Español: Google Cloud
    • Créer des maquettes professionnelles avec Moqups: Coursera Project Network

    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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