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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
      M

      Michigan State University

      Photography Basics and Beyond: From Smartphone to DSLR

      Skills you'll gain: Design Elements And Principles, Photography, Photo Editing, Peer Review, Graphic and Visual Design, Post-Production, Photo/Video Production and Technology, Digital Design, File Management, Adobe Creative Cloud, Creativity, Color Theory, Storytelling, Content Creation, Writing, Information Privacy, Web Design and Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Cloud Digital Leader Training

      Skills you'll gain: Cloud Management, Serverless Computing, Google Cloud Platform, Digital Transformation, Data Governance, Cloud Services, Distributed Denial-Of-Service (DDoS) Attacks, Cloud Security, Cloud Infrastructure, Application Programming Interface (API), Real Time Data, Tensorflow, Data Management, Hybrid Cloud Computing, Data Warehousing, Artificial Intelligence, Infrastructure As A Service (IaaS), Cloud Computing, Big Data, Data Security

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.6K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Fintech: Foundations & Applications of Financial Technology

      Skills you'll gain: FinTech, Portfolio Management, Consumer Lending, Return On Investment, Blockchain, Cryptography, Credit/Debit Card Processing, Digital Assets, Financial Services, Payment Processing, Investments, Lending and Underwriting, Investment Management, Technology Strategies, Emerging Technologies, Risk Analysis, Fundraising and Crowdsourcing, Financial Market, Market Analysis, Artificial Intelligence and Machine Learning (AI/ML)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Conduct UX Research and Test Early Concepts

      Skills you'll gain: UI/UX Research, Usability Testing, User Experience Design, Usability, Presentations, User Research, User Experience, Design Research, Research Design, User Centered Design, Research Methodologies, Prototyping, Interviewing Skills, Information Privacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning Foundations: A Case Study Approach

      Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Application Development, Predictive Modeling, Natural Language Processing, Text Mining, Data Mining, Information Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Introductory C Programming

      Skills you'll gain: Debugging, Maintainability, Programming Principles, Algorithms, Software Testing, Program Development, C (Programming Language), Pseudocode, Computational Thinking, Software Engineering, Simulations, Test Case, System Programming, Data Structures, Software Development, Computer Programming, Command-Line Interface, Operating Systems, Development Environment, User Interface (UI)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Google AI Essentials

      Skills you'll gain: Prompt Engineering, Generative AI, Workflow Management, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Artificial Intelligence, Process Optimization, ChatGPT, Productivity Software, Workforce Development, Strategic Thinking, Security Awareness, Diversity Awareness, Risk Management Framework, Digital Transformation, Innovation, Technical Writing, Emerging Technologies, Machine Learning Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      491 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Marketing in a Digital World

      Skills you'll gain: Digital Marketing, Marketing, Marketing Strategies, MarTech, Digital Advertising, Digital Transformation, E-Commerce, Price Negotiation, Consumer Behaviour, Product Development, Product Promotion, Innovation, Customer Engagement

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      PwC

      Problem Solving with Excel

      Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Spreadsheet Software, Data Analysis Expressions (DAX), Data Validation, Complex Problem Solving, Statistical Analysis, Financial Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Data Science Capstone

      Skills you'll gain: Plotly, Exploratory Data Analysis, Predictive Modeling, Data Science, Data-Driven Decision-Making, Data Presentation, Data Analysis, Pandas (Python Package), Web Scraping, Statistical Modeling, Data Wrangling, Machine Learning Methods, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Introduction to Google SEO

      Skills you'll gain: Search Engine Optimization, Web Analytics and SEO, Target Audience, Keyword Research, Consumer Behaviour, Google Analytics, Marketing, Digital Marketing, User Research, Content Strategy, Web Content

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Vertex AI Search for Retail

      Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Serverless Computing, Real Time Data, Dashboard, Cloud Infrastructure, Identity and Access Management, Big Data, Data Visualization Software, Data Integration, Cloud Security, Performance Tuning, Applied Machine Learning, Data Security, MLOps (Machine Learning Operations), CI/CD, Data Processing, Data Warehousing, Artificial Intelligence and Machine Learning (AI/ML)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16K reviews

      Beginner · Specialization · 3 - 6 Months

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    1…343536…637

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

    • Photography Basics and Beyond: From Smartphone to DSLR: Michigan State University
    • Google Cloud Digital Leader Training: Google Cloud
    • Fintech: Foundations & Applications of Financial Technology: University of Pennsylvania
    • Conduct UX Research and Test Early Concepts: Google
    • Machine Learning Foundations: A Case Study Approach: University of Washington
    • Introductory C Programming: Duke University
    • Google AI Essentials: Google
    • Marketing in a Digital World: University of Illinois Urbana-Champaign
    • Problem Solving with Excel : PwC
    • Applied Data Science Capstone: 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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