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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
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Python Development

      Skills you'll gain: Web Scraping, Data Structures, Git (Version Control System), Generative AI, Version Control, Matplotlib, Plotly, DevOps, Agile Methodology, Web Development, Data Ethics, Flask (Web Framework), Scripting, GitHub, Debugging, Data Cleansing, Data Manipulation, Restful API, Docker (Software), Test Driven Development (TDD)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      223 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      Università Bocconi

      Arts and Heritage Management

      Skills you'll gain: Leadership and Management, Business Management, Team Management, Brand Management, Leadership Studies, Brand Strategy, Art History, Data-Driven Decision-Making, Customer Relationship Management, Consumer Behaviour, Customer experience improvement

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.5K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      PwC

      Effective Business Presentations with Powerpoint

      Skills you'll gain: Microsoft PowerPoint, Presentations, Data Storytelling, Verbal Communication Skills, Public Speaking, Data Visualization, Business Communication, Storytelling, Communication, Peer Review, Communication Strategies, Target Audience

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Peking University

      程序设计与算法

      Skills you'll gain: Data Structures, Algorithms, C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Computational Thinking, Graph Theory, C (Programming Language), Programming Principles, Theoretical Computer Science, Program Development, Computer Science, Data Storage, Computer Architecture, Computer Programming, Database Systems, Software Design Patterns, Performance Tuning, Computational Logic, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      A

      Amazon

      Amazon Junior Software Developer

      Skills you'll gain: Git (Version Control System), Software Development Methodologies, JUnit, Requirements Analysis, Version Control, Application Development, Software Development Life Cycle, SQL, Full-Stack Web Development, Test Driven Development (TDD), Systems Development, Software Development, Restful API, Object Oriented Programming (OOP), Object Oriented Design, Database Management, MySQL, Digital Transformation, Relational Databases, Generative AI

      4.6
      Rating, 4.6 out of 5 stars
      ·
      274 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Austral

      Marketing Digital

      Skills you'll gain: Social Media, Social Media Strategy, Social Media Marketing, Google Ads, Digital Marketing, Customer Relationship Management, Media Buying, Digital Media Strategy, Marketing Analytics, Campaign Management, LinkedIn, Facebook, Web Analytics, Pay Per Click Advertising, Marketing Strategies, Marketing, Keyword Research, Paid media, Performance Analysis, Online Advertising

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Recommender Systems

      Skills you'll gain: AI Personalization, Machine Learning Algorithms, Taxonomy, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Benchmarking, Usability Testing, Exploratory Data Analysis, A/B Testing, Analysis, Artificial Intelligence and Machine Learning (AI/ML), Technical Design, Algorithms, System Design and Implementation, Predictive Modeling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      818 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Business intelligence and data analytics: Generate insights

      Skills you'll gain: SAS (Software), Business Analytics, Dashboard, Analytics, Data-Driven Decision-Making, Business Intelligence, Data Analysis, Trend Analysis, Forecasting, Histogram, Correlation Analysis, Ethical Standards And Conduct, Statistics, Predictive Modeling, Innovation, Sustainability Reporting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      450 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Introduction to C# Programming and Unity

      Skills you'll gain: Unity Engine, Debugging, Object Oriented Programming (OOP), Video Game Development, C# (Programming Language), Game Design, Computer Programming, Integrated Development Environments, Data Storage, User Interface (UI), Scripting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Computer Networks and Network Security

      Skills you'll gain: Networking Hardware, TCP/IP, Network Security, Network Protocols, Endpoint Detection and Response, Network Routing, Cybersecurity, Local Area Networks, Dynamic Host Configuration Protocol (DHCP), Firewall, General Networking, Information Systems Security, Intrusion Detection and Prevention, Endpoint Security, Network Infrastructure, Network Planning And Design, Wireless Networks, Security Information and Event Management (SIEM), Network Analysis, Data Loss Prevention

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

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of London

      Virtual Reality

      Skills you'll gain: Virtual Reality, Augmented and Virtual Reality (AR/VR), Unity Engine, Video Game Development, Visualization (Computer Graphics), Computer Graphics, Game Design, Virtual Environment, Prototyping, Interaction Design, Storyboarding, User Interface (UI), Human Computer Interaction, Animations, Ideation, Usability Testing, Human Machine Interfaces, Display Devices, Technical Design, Usability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Global Financial Markets and Instruments

      Skills you'll gain: Financial Market, Investments, Securities (Finance), Financial Systems, Investment Management, Securities Trading, Capital Markets, Equities, Finance, Financial Services, Market Liquidity, Asset Management, Portfolio Management, Derivatives, Fixed Asset, Cash Flows

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.2K reviews

      Mixed · Course · 1 - 4 Weeks

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    1…646566…640

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

    • Microsoft Python Development: Microsoft
    • Arts and Heritage Management: Università Bocconi
    • Effective Business Presentations with Powerpoint: PwC
    • 程序设计与算法: Peking University
    • Amazon Junior Software Developer: Amazon
    • Marketing Digital: Universidad Austral
    • Recommender Systems: University of Minnesota
    • Business intelligence and data analytics: Generate insights: Macquarie University
    • Introduction to C# Programming and Unity: University of Colorado System
    • Computer Networks and Network Security: IBM

    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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