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    • Big Data

    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

      University of Colorado System

      Computer Communications

      Skills you'll gain: TCP/IP, Local Area Networks, Routing Protocols, Network Routing, Digital Communications, OSI Models, Network Protocols, Dynamic Host Configuration Protocol (DHCP), Network Security, Network Planning And Design, Network Architecture, Network Performance Management, Computer Networking, Network Model, Network Infrastructure, Wireless Networks, Telecommunications, Software-Defined Networking, Algorithms, System Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.3K reviews

      Intermediate · Specialization · 3 - 6 Months

    • L

      LearnQuest

      Core Java

      Skills you'll gain: Java Programming, Spring Framework, Java, Eclipse (Software), Object Oriented Programming (OOP), Object Oriented Design, Integrated Development Environments, Development Environment, Java Platform Enterprise Edition (J2EE), Software Design, Software Installation, Computer Programming, Programming Principles, Program Development, Virtual Machines, Debugging, Package and Software Management, Data Structures, File Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Michigan

      PostgreSQL for Everybody

      Skills you'll gain: Stored Procedure, Database Design, SQL, Relational Databases, NoSQL, PostgreSQL, Database Architecture and Administration, Database Theory, Database Management Systems, Data Modeling, JSON, Scalability, Database Management, Query Languages, Cloud Applications, Data Manipulation, Text Mining, Databases, Data Integrity, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      AI for Medical Diagnosis

      Skills you'll gain: Image Analysis, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Applied Machine Learning, Medical Imaging, Machine Learning Algorithms, Computer Vision, Deep Learning, Natural Language Processing, Medical Science and Research, Radiology, Artificial Neural Networks, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Marketing Analytics: Data Predictions and Dashboards

      Skills you'll gain: Marketing Analytics, Dashboard, Predictive Modeling, Data-Driven Decision-Making, Data Storytelling, Marketing Strategies, Marketing, Data Visualization Software, Analytics, Customer Insights, Market Research, Data Analysis, Analytical Skills

      3.7
      Rating, 3.7 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Bioinformatics

      Skills you'll gain: Bioinformatics, Molecular Biology, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Data Analysis, Computational Thinking, Graph Theory, Markov Model, Biochemistry, Life Sciences, Microbiology, Statistical Analysis, Medical Science and Research, Precision Medicine, Biology, Pharmacology, Algorithms, Infectious Diseases, Data Mining

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • B

      Big Interview

      The Art of the Job Interview

      Skills you'll gain: Interviewing Skills, Non-Verbal Communication, Applicant Tracking Systems, Professional Networking, Recruitment, Interpersonal Communications, Verbal Communication Skills, Job Analysis, Communication, Professional Development, Negotiation, Rapport Building, Relationship Building, Storytelling, Personal Attributes, Enthusiasm, Goal Setting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      68 reviews

      Beginner · Course · 1 - 3 Months

    • F

      Fractal Analytics

      Fractal Data Science

      Skills you'll gain: Data Storytelling, Decision Making, Critical Thinking, Database Design, Data Manipulation, Data Presentation, Power BI, Data Visualization, Exploratory Data Analysis, Feature Engineering, Interactive Data Visualization, Data Analysis Expressions (DAX), Human Centered Design, Storyboarding, SQL, Applied Machine Learning, Problem Solving, Data Modeling, Machine Learning, Machine Learning Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      338 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Functional Programming Principles in Scala

      Skills you'll gain: Scala Programming, Programming Principles, Object Oriented Programming (OOP), Functional Design, Computer Programming, Data Structures, Integrated Development Environments, Javascript, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8.3K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Alberta

      Fundamentals of Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Markov Model, Algorithms, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Course · 1 - 3 Months

    • N

      NVIDIA

      AI Infrastructure and Operations Fundamentals

      Skills you'll gain: Generative AI, Large Language Modeling, MLOps (Machine Learning Operations), Artificial Intelligence, Cloud Computing, Cloud Infrastructure, IT Infrastructure, Deep Learning, Network Infrastructure, Tensorflow, Hardware Architecture, Machine Learning, PyTorch (Machine Learning Library), Data Centers, Computer Architecture, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      349 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Modernizing Data Lakes and Data Warehouses with Google Cloud

      Skills you'll gain: Data Lakes, Data Warehousing, Cloud Engineering, Google Cloud Platform, Data Infrastructure, Cloud Storage, Data Pipelines, Big Data, Data Processing, Data Transformation, SQL, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    Big Data learners also search

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    1…535455…596

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

    • Computer Communications: University of Colorado System
    • Core Java: LearnQuest
    • PostgreSQL for Everybody: University of Michigan
    • AI for Medical Diagnosis: DeepLearning.AI
    • Marketing Analytics: Data Predictions and Dashboards: Coursera Instructor Network
    • Bioinformatics: University of California San Diego
    • The Art of the Job Interview: Big Interview
    • Fractal Data Science: Fractal Analytics
    • Functional Programming Principles in Scala: École Polytechnique Fédérale de Lausanne
    • Fundamentals of Reinforcement Learning: University of Alberta

    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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