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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: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Positive Psychology: Character, Grit and Research Methods

      Skills you'll gain: Research Methodologies, Research Design, Qualitative Research, Critical Thinking, Persistence, Program Evaluation, Tenacity, Psychological Evaluations, Surveys, Growth Mindedness, Data Collection, Statistical Analysis, Reliability

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Entrepreneurship 3: Growth Strategies

      Skills you'll gain: Growth Strategies, Key Performance Indicators (KPIs), Digital Marketing, Customer Acquisition Management, Business Metrics, Marketing Strategies, Market Dynamics, Business Strategies, Search Engine Optimization, Paid media, Talent Management, People Management, Forecasting, Earned Media, Organizational Structure, Public Relations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Responsible AI: Applying AI Principles with Google Cloud

      Skills you'll gain: Data Ethics, Business Ethics, Accountability, Compliance Training, Ethical Standards And Conduct, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Governance, Decision Making, Corporate Strategy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      597 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Developing Front-End Apps with React

      Skills you'll gain: React Redux, React.js, Front-End Web Development, JavaScript Frameworks, UI Components, Full-Stack Web Development, Web Applications, Javascript, Event-Driven Programming, Cascading Style Sheets (CSS), Data Structures

      4.3
      Rating, 4.3 out of 5 stars
      ·
      678 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

      Skills you'll gain: Image Analysis, Computer Vision, Digital Communications, Computer Graphics, Visualization (Computer Graphics), Medical Imaging, Applied Mathematics, Spatial Analysis, Advanced Mathematics, Linear Algebra, Matlab, Mathematical Modeling, Algorithms, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Data Structures and Performance

      Skills you'll gain: Unit Testing, Data Structures, Development Testing, Java Programming, Software Testing, Performance Tuning, Debugging, Computer Programming, Algorithms, Object Oriented Programming (OOP), Theoretical Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate en Español

      Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Real Time Data, Data Processing, Systems Design, Cloud Engineering, Data Lakes, Big Data, Dashboard, Cloud Infrastructure, Data Infrastructure, Data Visualization, Data Warehousing, Quality Assurance, Extract, Transform, Load, Cloud Storage, Unstructured Data, Data Visualization Software, MLOps (Machine Learning Operations)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      795 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Alberta Machine Intelligence Institute

      Machine Learning: Algorithms in the Real World

      Skills you'll gain: Supervised Learning, Feature Engineering, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Data Quality, Data Processing, MLOps (Machine Learning Operations), Jupyter, Data Validation, Machine Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Ethical Standards And Conduct, Classification And Regression Tree (CART), Data Transformation, Operational Analysis, Verification And Validation, Business Strategy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Supervised Machine Learning: Classification

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      411 reviews

      Intermediate · Course · 1 - 3 Months

    • É

      École Nationale des Ponts et Chaussées

      Electric Vehicles and Mobility

      Skills you'll gain: Socioeconomics, Market Dynamics, Energy and Utilities, Social Studies, Transportation Operations, Market Analysis, Public Policies, Environmental Engineering, Electric Power Systems, Environmental Science, Economics, Automation, Cost Benefit Analysis, Innovation, Product Lifecycle Management

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      A Complete Reinforcement Learning System (Capstone)

      Skills you'll gain: Reinforcement Learning, Solution Architecture, Artificial Intelligence, Performance Testing, Artificial Neural Networks, Machine Learning Algorithms, Markov Model, Algorithms, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      641 reviews

      Intermediate · Course · 1 - 3 Months

    • N

      NVIDIA

      Introduction to Networking

      Skills you'll gain: OSI Models, TCP/IP, Data Centers, Network Protocols, Network Infrastructure, Local Area Networks, General Networking, Network Architecture, Computer Networking, Network Switches, System Requirements

      4.6
      Rating, 4.6 out of 5 stars
      ·
      544 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Positive Psychology: Character, Grit and Research Methods: University of Pennsylvania
    • Entrepreneurship 3: Growth Strategies: University of Pennsylvania
    • Responsible AI: Applying AI Principles with Google Cloud: Google Cloud
    • Developing Front-End Apps with React: IBM
    • Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital: Duke University
    • Data Structures and Performance: University of California San Diego
    • Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate en Español: Google Cloud
    • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
    • Supervised Machine Learning: Classification: IBM
    • Electric Vehicles and Mobility: École Nationale des Ponts et Chaussées

    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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