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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

      Meta

      Meta Social Media Marketing Capstone

      Skills you'll gain: Marketing Analytics, Social Media Marketing, Campaign Management, Communication, Analysis, Presentations, Social Media, Marketing, Digital Marketing, Marketing Strategies, Marketing Planning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      655 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Developing Data Products

      Skills you'll gain: Shiny (R Package), Rmarkdown, Leaflet (Software), Plotly, Interactive Data Visualization, Data Visualization, Data Presentation, Data Visualization Software, R Programming, Statistical Reporting, User Interface (UI), Web Applications, Hypertext Markup Language (HTML), GitHub, Package and Software Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.3K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Enhance your Data Analytics Career

      Skills you'll gain: Generative AI, Data Storytelling, OpenAI, Analytics, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Dashboard, Prompt Engineering, ChatGPT, Data Ethics, Data Visualization Software, SQL, Python Programming, Query Languages

      4.7
      Rating, 4.7 out of 5 stars
      ·
      118 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Business Intelligence and Visual Analytics

      Skills you'll gain: Dashboard, Data Visualization Software, Business Reporting, SAS (Software), Interactive Data Visualization, Data Storytelling, Business Intelligence, Business Analytics, Cloud Computing, Big Data, Machine Learning, Data Import/Export

      4.2
      Rating, 4.2 out of 5 stars
      ·
      29 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Machine Learning: Theory and Hands-on Practice with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Predictive Modeling, Python Programming, Classification And Regression Tree (CART), Computer Vision, Image Analysis, Mathematical Modeling, Artificial Neural Networks, Machine Learning, Data Science

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      114 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: Techniques and Models

      Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Data Analysis, Probability, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      491 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Framework for Data Collection and Analysis

      Skills you'll gain: Surveys, Research Methodologies, Data Collection, Research Design, Data Quality, Data Analysis, Data Validation, Sampling (Statistics), Big Data, Statistical Methods

      4.2
      Rating, 4.2 out of 5 stars
      ·
      764 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Spacecraft Dynamics and Control

      Skills you'll gain: Control Systems, Mechanics, Torque (Physics), Vibrations, Linear Algebra, Numerical Analysis, Engineering Calculations, Simulations, Engineering Analysis, Differential Equations, Physics, Mathematical Modeling, Visualization (Computer Graphics), Simulation and Simulation Software, Applied Mathematics, Engineering, Verification And Validation, Advanced Mathematics, Estimation, Matlab

      4.8
      Rating, 4.8 out of 5 stars
      ·
      428 reviews

      Advanced · Specialization · 3 - 6 Months

    • E

      Erasmus University Rotterdam

      Introduction to Economic Theories

      Skills you'll gain: Consumer Behaviour, Market Dynamics, Financial Market, Financial Systems, Economics, Economic Development, Market Analysis, Tax, Economics, Policy, and Social Studies, Public Policies, Environmental Issue, Social Sciences, Socioeconomics, Supply And Demand, Behavioral Economics, Decision Making

      4.5
      Rating, 4.5 out of 5 stars
      ·
      361 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Capstone Project with Deep Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Image Analysis, Data Manipulation, Deep Learning, Verification And Validation, Data Processing, Predictive Modeling, Applied Machine Learning, Computer Vision, Scientific Visualization, Artificial Neural Networks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      643 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Rust Programming

      Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), DevOps, Jenkins, Unit Testing, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Command-Line Interface, Amazon Web Services, Software Testing, Maintainability, Prometheus (Software), System Monitoring, MLOps (Machine Learning Operations)

      4
      Rating, 4 out of 5 stars
      ·
      210 reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Michigan State University

      Design and Make Infographics (Project-Centered Course)

      Skills you'll gain: Infographics, Adobe Illustrator, Graphic and Visual Design, Data Mapping, Typography, Design Elements And Principles, Graphical Tools, Storytelling, Color Theory

      4.6
      Rating, 4.6 out of 5 stars
      ·
      955 reviews

      Mixed · Course · 1 - 4 Weeks

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

    • Meta Social Media Marketing Capstone: Meta
    • Developing Data Products: Johns Hopkins University
    • Generative AI: Enhance your Data Analytics Career : IBM
    • Business Intelligence and Visual Analytics: University of California, Irvine
    • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
    • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
    • Framework for Data Collection and Analysis: University of Maryland, College Park
    • Spacecraft Dynamics and Control: University of Colorado Boulder
    • Introduction to Economic Theories: Erasmus University Rotterdam
    • AI Capstone Project with Deep Learning : 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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