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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

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Modelos Analíticos para la Toma de Decisiones de Negocio

      Skills you'll gain: Descriptive Analytics, Business Analytics, Statistical Reporting, Data Visualization, Data Mining, Dimensionality Reduction, Data Analysis, R Programming, Scientific Visualization, Statistical Modeling, Big Data, Data-Driven Decision-Making, Data Visualization Software, Predictive Modeling, Predictive Analytics, Data Modeling, Analytics, Advanced Analytics, Regression Analysis, Statistical Visualization

      Credit offered

      Mastertrack · 6 - 12 Months

    • Status: New
      New
      P

      Packt

      Salesforce Certified AI Specialist Certification

      Skills you'll gain: Prompt Engineering, Salesforce, Workflow Management, Process Design, Business Workflow Analysis, Generative AI, Artificial Intelligence, Customer Relationship Management, Predictive Modeling, Data Modeling, Data Security, Data Integration

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Advanced Docker - Data Persistence and Orchestration

      Skills you'll gain: Docker (Software), Application Deployment, Containerization, Nginx, Microservices, Data Storage, YAML, Command-Line Interface, General Networking

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Master of Applied Data Science

      Skills you'll gain: Data Ethics, Data Storytelling, Database Design, Reinforcement Learning, Supervised Learning, Experimentation, PySpark, Interactive Data Visualization, Generative AI, Pandas (Python Package), Network Analysis, Deep Learning, Applied Machine Learning, Cloud Services, Database Management, Natural Language Processing, JSON, Data Mining, Qualitative Research, Statistical Visualization

      Earn a degree

      Degree · 1 - 4 Years

    • P

      Pontificia Universidad Católica de Chile

      Magíster en Ciencia de Datos

      Skills you'll gain: Revenue Management, Data Ethics, Customer Analysis, Descriptive Analytics, FinTech, Database Design, People Analytics, Time Series Analysis and Forecasting, Biostatistics, Predictive Analytics, Statistical Reporting, Unsupervised Learning, Digital Transformation, Deep Learning, Risk Analysis, Bayesian Statistics, Exploratory Data Analysis, Cloud Security, Network Model, Data Visualization

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      P

      Packt

      Skills for a Modern Entrepreneur or Business Owner

      Skills you'll gain: Presentations, Financial Statement Analysis, Business Modeling, Blogs, Professional Development, Public Speaking, Spreadsheet Software, Business Planning, Customer Analysis, Professional Networking, Income Statement, Data Visualization, Personal Development, Excel Formulas, User Research, Financial Accounting, Balance Sheet, Entrepreneurship, Financial Management, Communication

      Beginner · Specialization · 3 - 6 Months

    • U

      Universidad de los Andes

      Analítica de datos: visualización, predicción y toma de decisiones Certificado MasterTrack®

      Skills you'll gain: Network Analysis, Data Storytelling, Predictive Modeling, Data Presentation, Marketing Analytics, Cash Flows, Product Marketing, Matplotlib, Financial Data, Financial Statement Analysis, Portfolio Management, Data Cleansing, Advertising, Applied Machine Learning, Statistical Machine Learning, Random Forest Algorithm, Operations Research, Natural Language Processing, Mathematical Modeling, Systems Analysis

      Credit offered

      Mastertrack · 6 - 12 Months

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Introducción a la Ciencia de Datos

      Skills you'll gain: Predictive Analytics, Unsupervised Learning, Data Cleansing, Exploratory Data Analysis, Data Visualization, Dimensionality Reduction, Data Science, Descriptive Analytics, Supervised Learning, Regression Analysis, Scientific Visualization, Data-Driven Decision-Making, Data Processing, Time Series Analysis and Forecasting, Pandas (Python Package), Data Visualization Software, Statistical Machine Learning, Data Manipulation, Statistical Visualization, Machine Learning

      Credit offered

      Mastertrack · 6 - 12 Months

    • Status: New
      New
      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

    • U

      University of Colorado Boulder

      Master of Science in Data Science

      Skills you'll gain: User Story, Real-Time Operating Systems, Model Based Systems Engineering, Unsupervised Learning, New Product Development, Field-Programmable Gate Array (FPGA), Delegation Skills, Object Oriented Design, Sampling (Statistics), Failure Analysis, Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Database Design, Goal Setting, Proposal Writing, Generative AI, Process Capability

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Huddersfield

      BSc Data Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • I

      Imperial College London

      Master of Science in Machine Learning and Data Science

      Skills you'll gain: Supervised Learning, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Student Support and Services, PySpark, Bayesian Statistics, Data Pipelines, Ggplot2, Dimensionality Reduction, Linear Algebra, Student Services, Data Processing, Big Data, Agentic systems, Anomaly Detection, A/B Testing, Unstructured Data, Deep Learning, Applied Machine Learning

      Earn a degree

      Degree · 1 - 4 Years

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

    • Certificado en Modelos Analíticos para la Toma de Decisiones de Negocio: Pontificia Universidad Católica de Chile
    • Salesforce Certified AI Specialist Certification: Packt
    • Advanced Docker - Data Persistence and Orchestration: Packt
    • Master of Applied Data Science: University of Michigan
    • Magíster en Ciencia de Datos: Pontificia Universidad Católica de Chile
    • Skills for a Modern Entrepreneur or Business Owner: Packt
    • Analítica de datos: visualización, predicción y toma de decisiones Certificado MasterTrack®: Universidad de los Andes
    • Certificado en Introducción a la Ciencia de Datos: Pontificia Universidad Católica de Chile
    • Advanced Development, Deployment, and Cloud Integration: Packt
    • Master of Science in Data Science: University of Colorado Boulder

    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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