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    Big Data Courses Online

    Master big data technologies for handling large datasets. Learn about data storage, processing, and analysis using tools like Hadoop and Spark.

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    Explore the Big Data Course Catalog

    • U

      Universitat Autònoma de Barcelona

      Emotions: a Philosophical Introduction

      Skills you'll gain: Social Sciences, Anthropology, Artificial Intelligence, Human Development, Sociology, Psychology, Human Computer Interaction, Cultural Diversity, Mental Health Diseases and Disorders

      4.4
      Rating, 4.4 out of 5 stars
      ·
      521 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Calendar

      Skills you'll gain: Google Workspace, Calendar Management, Setting Appointments, Collaborative Software, Organizational Skills, Productivity Software, Scheduling, Event Management, Data Sharing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      326 reviews

      Beginner · Course · 1 - 3 Months

    • S

      Scrimba

      Build AI Apps with ChatGPT, Dall-E, and GPT-4

      Skills you'll gain: Prompt Engineering, Version Control, OpenAI, GitHub, ChatGPT, Generative AI, Cloud API, Application Programming Interface (API), Application Deployment, Real Time Data, Artificial Intelligence, Data Ethics, Image Analysis, Large Language Modeling, Application Security

      4.4
      Rating, 4.4 out of 5 stars
      ·
      162 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Programming for the Internet of Things Project

      Skills you'll gain: Test Planning, Embedded Software, Embedded Systems, Functional Requirement, Systems Design, Requirements Analysis, System Design and Implementation, Internet Of Things, Prototyping, Computer Hardware

      4.7
      Rating, 4.7 out of 5 stars
      ·
      939 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Icahn School of Medicine at Mount Sinai

      Introduction to Systems Biology

      Skills you'll gain: Molecular Biology, Pharmacology, Biochemistry, Network Analysis, Biology, Systems Engineering, Bioinformatics, Mathematical Modeling, Systems Analysis, Simulation and Simulation Software, Differential Equations, Statistical Modeling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      570 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Principles of fMRI 2

      Skills you'll gain: Magnetic Resonance Imaging, Data Analysis, Analysis, Image Analysis, Statistical Analysis, Experimentation, Network Analysis, Research Design, Regression Analysis, Psychology, Time Series Analysis and Forecasting, Matlab, Mental and Behavioral Health, Neurology, Statistical Modeling, Statistical Methods, Research

      4.7
      Rating, 4.7 out of 5 stars
      ·
      246 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      Fundamentals of Java Programming

      Skills you'll gain: Eclipse (Software), Object Oriented Programming (OOP), Java Programming, Object Oriented Design, Software Development Tools, Java, Integrated Development Environments, Development Environment, Computer Programming, Programming Principles, Data Structures, Virtual Machines

      4.4
      Rating, 4.4 out of 5 stars
      ·
      511 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI-Powered Software and System Design

      Skills you'll gain: Database Design, Software Design Patterns, Database Systems, Software Architecture, System Design and Implementation, API Design, Large Language Modeling, Software Development, Artificial Intelligence, Generative AI, Secure Coding, Application Programming Interface (API), Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      133 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Introduction to Business Analysis Using Spreadsheets: Basics

      Skills you'll gain: Google Sheets, Spreadsheet Software, Data Presentation, Statistical Visualization, Data Analysis, Data Visualization Software, Business Analytics, Productivity Software, Business Analysis, Data Manipulation, Descriptive Statistics, Analysis, Excel Formulas, Data Cleansing, Mathematical Software

      4.3
      Rating, 4.3 out of 5 stars
      ·
      999 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      R

      Rice University

      An Introduction to Interactive Programming in Python (Part 2)

      Skills you'll gain: Application Development, Object Oriented Programming (OOP), Event-Driven Programming, Interactive Design, User Interface (UI), Program Development, Animations, Game Design, Programming Principles, Python Programming, Computer Programming, Data Structures, Debugging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • K

      King Abdullah University of Science and Technology

      Fundamental Skills in Bioinformatics

      Skills you'll gain: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, Statistical Methods, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Data Visualization, Programming Principles, Pandas (Python Package), Python Programming, NumPy, Data Manipulation, Data Structures

      4.4
      Rating, 4.4 out of 5 stars
      ·
      59 reviews

      Beginner · Course · 1 - 4 Weeks

    • T

      The State University of New York

      Exploring Emerging Technologies for Lifelong Learning and Success

      Skills you'll gain: Lifelong Learning, Growth Mindedness, Willingness To Learn, Personal Development, Critical Thinking, Emerging Technologies, Professional Development, Data Ethics, Learning Management Systems, Safety and Security, Computer Security Awareness Training, Technology Solutions, Creativity, Digital Communications, Web Content Accessibility Guidelines, Collaboration, Communication

      4.3
      Rating, 4.3 out of 5 stars
      ·
      441 reviews

      Beginner · Course · 1 - 3 Months

    Big Data learners also search

    Big Data Analytics
    Beginner Big Data
    Big Data Projects
    Advanced Big Data
    Data Engineering
    Python Data Science
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    1…147148149…610

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

    • Emotions: a Philosophical Introduction: Universitat Autònoma de Barcelona
    • Google Calendar: Google Cloud
    • Build AI Apps with ChatGPT, Dall-E, and GPT-4: Scrimba
    • Programming for the Internet of Things Project: University of California, Irvine
    • Introduction to Systems Biology: Icahn School of Medicine at Mount Sinai
    • Principles of fMRI 2: Johns Hopkins University
    • Fundamentals of Java Programming: Board Infinity
    • AI-Powered Software and System Design: DeepLearning.AI
    • Introduction to Business Analysis Using Spreadsheets: Basics: Coursera Project Network
    • An Introduction to Interactive Programming in Python (Part 2): Rice University

    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

    “Big data” is a term widely used to describe our data-rich world, in which virtually every activity generates a digital data footprint that can be collected and analyzed. While data and data analysis are not necessarily new, the effective use of the extremely large - and rapidly-growing - datasets of today require new approaches to data management.

    In order to harness big data for important applications like machine learning and artificial intelligence, you need more than an Excel spreadsheet or a traditional relational database and SQL. Instead, an entire data infrastructure is necessary to collect and process this data at scale, including data pipelines, data lakes, and data warehouses.

    To make this possible, data engineers rely on new approaches to data processing such as MapReduce, developed by Google, the open-source Apache Hadoop ecosystem including Apache Spark and Apache Hive, and, increasingly, cloud computing and cloud database platforms like Cloudera.‎

    With companies in practically every industry eager to discover ways to harness the power of big data in their operations, having a background in this area can open doors to a wide range of careers. Operations managers at manufacturing or logistics companies may harness data to improve their demand forecasting, inventory planning, and process efficiency; digital marketers use marketing analytics to better understand their customers and the effectiveness of their messaging; and “quants” at hedge funds rely on data-based financial engineering approaches to move millions of dollars in milliseconds.

    Understanding how big data applications are built and what they are capable of can thus be incredibly valuable even if you aren’t a data engineer or data scientist yourself. However, if you have the expertise and desire to work directly with big data yourself, data engineers are responsible for building the data infrastructure capable of reliably and efficiently delivering big data at scale, and data scientists are responsible for using a wide range of analytic and programming approaches to uncover insights from it.

    These two roles are in extremely high demand, and command salaries to match. According to Glassdoor, data engineers earn an average annual salary of $102,864, and data scientists earn an average annual salary of $113,309.‎

    Yes - in fact, Coursera is one of the best places to learn about big data. You can take individual courses and Specializations spanning multiple courses on big data, data science, and related topics from top-ranked universities from all over the world, from the University California San Diego to Universitat Autònoma de Barcelona. Coursera also offers the opportunity to learn from industry leaders in the field like Google Cloud, Cloudera, and IBM, including options to get professional certificates.‎

    The skills and experience that you might need to already have before starting to learn big data may include software programming knowledge as well as top skills in math, algebra, data science, and related areas. The types of programming languages that are common in big data environments include Python, SQL, Java, C, and overall data structure and algorithm insights. Working with structured and unstructured data may likely require knowledge and background in discrete mathematics, statistics, and linear algebra. Of course, learning about big data roles would also require you to bring good soft skills like listening, focus, communication, and flexibility to the table. Finally, what would also play a part before starting to learn big data might include a good education in data science or mathematics.‎

    The kind of people best suited for work that involves big data are those who are keenly interested in data sciences, statistical modeling, data analysis, and the move to a big data future with the internet. People who love to work with data are best suited for roles in big data. This would likely include persons who may have quantitative experience in data technology, or a background and a skill set working with accounting, finance, ratios, and percentages. Big data enthusiasts may also be adventurous types, who take big risks and want to work at the forefront of technology and society.‎

    Learning big data may be right for you if you have strong analytical insights, a data science background, a head for numbers, and a familiarity with internet tools, cloud platforms, and data analysis software. Working in big data is one of the most in-demand jobs now, and the opportunity to work in a relevant field is very alluring. If you're flexible in your work roles, are a creative thinker, and have the discipline and right background, then learning big data may be right for you to advance your career forward.‎

    Online Big Data courses offer a convenient and flexible way to enhance your existing knowledge or learn new Big Data skills. With a wide range of Big Data classes, you can conveniently learn at your own pace to advance your Big Data career skills.‎

    When looking to enhance your workforce's skills in Big Data, 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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