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    Results for "big data analytics"

    • V

      Vanderbilt University

      Prompt Engineering for ChatGPT

      Skills you'll gain: Creativity, Problem Solving, Writing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.3K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Alberta

      Reinforcement Learning

      Skills you'll gain: Machine Learning, Reinforcement Learning, Algorithms, Human Learning, Machine Learning Algorithms, Applied Machine Learning, Computer Programming, Python Programming, Statistical Machine Learning, Statistical Programming, Artificial Neural Networks, Planning, Decision Making, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.4K reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      IBM

      Generative AI: Prompt Engineering Basics

      Skills you'll gain: Artificial Neural Networks

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Natural Language Processing with Classification and Vector Spaces

      Skills you'll gain: Machine Learning, Natural Language Processing, Probability & Statistics, Python Programming, Machine Learning Algorithms, Applied Machine Learning, Computer Programming, General Statistics, Human Learning, Statistical Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Alberta

      Fundamentals of Reinforcement Learning

      Skills you'll gain: Machine Learning, Reinforcement Learning, Machine Learning Algorithms, Python Programming, Statistical Programming, Computer Programming, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Natural Language Processing with Probabilistic Models

      Skills you'll gain: Machine Learning, Natural Language Processing, Python Programming, Statistical Programming, Statistical Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Course · 1 - 4 Weeks

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      D

      DeepLearning.AI

      AI for Medical Diagnosis

      Skills you'll gain: Machine Learning, Artificial Neural Networks, Deep Learning, Python Programming, Statistical Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      D

      DeepLearning.AI

      Natural Language Processing with Attention Models

      Skills you'll gain: Natural Language Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      D

      DeepLearning.AI

      AI for Medicine

      Skills you'll gain: Machine Learning, Machine Learning Algorithms, Deep Learning, Python Programming, Artificial Neural Networks, Statistical Programming, Probability & Statistics, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.3K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Placeholder
      D

      DeepLearning.AI

      Natural Language Processing with Sequence Models

      Skills you'll gain: Artificial Neural Networks, Deep Learning, Machine Learning, Natural Language Processing, Statistical Programming, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      G

      Google Cloud

      Introduction to Trading, Machine Learning & GCP

      Skills you'll gain: Algorithms, Financial Analysis, Machine Learning, Artificial Neural Networks, Deep Learning, Finance, Google Cloud Platform, Human Learning, Investment Management, Machine Learning Algorithms, Training, Cloud Computing

      4
      Rating, 4 out of 5 stars
      ·
      848 reviews

      Intermediate · Course · 1 - 4 Weeks

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      Status: Free
      Free
      U

      University of Zurich

      An Intuitive Introduction to Probability

      Skills you'll gain: Probability & Statistics, Probability Distribution, General Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 3 Months

    Searches related to big data analytics

    大數據分析：商業應用與策略管理 (big data analytics: business applications and strategic decisions)
    graph analytics for big data
    big data analytical platform on alibaba cloud
    big data analysis with scala and spark
    big data analysis deep dive
    big data analysis to a slide presentation
    big data analysis with scala and spark (scala 2 version)
    modern big data analysis with sql
    1…380381382…434

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

    • Prompt Engineering for ChatGPT: Vanderbilt University
    • Reinforcement Learning: University of Alberta
    • Generative AI: Prompt Engineering Basics: IBM
    • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
    • Fundamentals of Reinforcement Learning: University of Alberta
    • Natural Language Processing with Probabilistic Models: DeepLearning.AI
    • AI for Medical Diagnosis: DeepLearning.AI
    • Natural Language Processing with Attention Models: DeepLearning.AI
    • AI for Medicine: DeepLearning.AI
    • Natural Language Processing with Sequence Models: DeepLearning.AI

    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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