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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

      Scene Detailing, Prop Creation, and Rendering

      Skills you'll gain: 3D Modeling, Virtual Environment, Computer Graphic Techniques, Visualization (Computer Graphics), Graphical Tools, Design Elements And Principles, Functional Design, Creative Design, Design

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      P

      Packt

      Advanced Kubernetes - Security, and Large-Scale Deployments

      Skills you'll gain: Kubernetes, Cloud-Native Computing, Google Cloud Platform, Docker (Software), YAML, Application Deployment, MongoDB, Configuration Management, Cloud Security, Role-Based Access Control (RBAC), Network Security, Application Programming Interface (API), Scalability

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Google Workspace Mail Management - Português Brasileiro

      Skills you'll gain: Email Security, Data Loss Prevention, Google Workspace, Security Management, Threat Management, Malware Protection, Network Routing, Threat Detection

      Beginner · Course · 1 - 4 Weeks

    • N

      Northeastern University

      Master of Science in Data Analytics Engineering

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      P

      Packt

      Advanced Web Exploits, Python Scripting & Network Attacks

      Skills you'll gain: OSI Models, Penetration Testing, TCP/IP, Network Protocols, Cyber Security Assessment, Open Web Application Security Project (OWASP), Prompt Engineering, Cybersecurity, Vulnerability Scanning, Scripting, Large Language Modeling, Vulnerability Assessments, SQL, Python Programming

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Comprende Cloud Spanner

      Skills you'll gain:

      Intermediate · Course · 1 - 3 Months

    • P

      Pontificia Universidad Católica de Chile

      Magíster en Business Analytics

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

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Illinois at Urbana-Champaign

      Business Analytics Graduate Certificate

      Skills you'll gain: Data Visualization, Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Extract, Transform, Load, Financial Auditing, Descriptive Statistics, Process Improvement, Marketing Analytics, Generative AI, Financial Market, Strategic Decision-Making, Corporate Tax

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • Status: New
      New
      P

      Packt

      Salesforce Certified AI Associate Certification

      Skills you'll gain: Salesforce Development, Salesforce, Artificial Intelligence and Machine Learning (AI/ML), Data Quality, Data Ethics, Artificial Intelligence, Customer Relationship Management (CRM) Software, Artificial Neural Networks, Generative AI, Data Management, Predictive Modeling, Supervised Learning, Customer Engagement

      Intermediate · Course · 1 - 3 Months

    • U

      University of Leeds

      Master of Science in Data Science (Statistics)

      Skills you'll gain: Data Ethics, Regression Analysis, Statistical Hypothesis Testing, Statistical Machine Learning, Statistical Methods, Classification And Regression Tree (CART), Network Analysis, Planning, Applied Machine Learning, Data Visualization, Bayesian Statistics, Unsupervised Learning, Supervised Learning, Exploratory Data Analysis, Decision Tree Learning, R Programming, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Linear Algebra

      Earn a degree

      Degree · 1 - 4 Years

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Toma de Decisiones Basadas en Datos

      Skills you'll gain: Descriptive Analytics, Business Analytics, Database Design, NoSQL, Statistical Reporting, SQL, Data Ethics, Digital Transformation, Query Languages, Data Mining, Databases, Data Analysis, R Programming, Big Data, Data-Driven Decision-Making, Predictive Analytics, Organizational Structure, Business Transformation, Business Strategy, Organizational Strategy

      Credit offered

      Mastertrack · 6 - 12 Months

    • I

      Indian Statistical Institute

      Postgraduate Diploma in Applied Statistics

      Skills you'll gain: Sampling (Statistics), Time Series Analysis and Forecasting, Sample Size Determination, Statistical Inference, Statistical Machine Learning, Statistical Analysis, NumPy, Spatial Data Analysis, Statistical Hypothesis Testing, Probability, Data Compilation, Economics, Statistical Methods, Dimensionality Reduction, Lifelong Learning, Regression Analysis, Surveys, Bayesian Statistics, Graphing, Market Data

      Postgraduate Diploma · 6 - 12 Months

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

    • Scene Detailing, Prop Creation, and Rendering: Packt
    • Advanced Kubernetes - Security, and Large-Scale Deployments: Packt
    • Google Workspace Mail Management - Português Brasileiro: Google Cloud
    • Master of Science in Data Analytics Engineering: Northeastern University
    • Advanced Web Exploits, Python Scripting & Network Attacks: Packt
    • Comprende Cloud Spanner: Google Cloud
    • Magíster en Business Analytics: Pontificia Universidad Católica de Chile
    • Business Analytics Graduate Certificate: University of Illinois at Urbana-Champaign
    • Salesforce Certified AI Associate Certification: Packt
    • Master of Science in Data Science (Statistics): University of Leeds

    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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