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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

    • K

      Knowledge Accelerators

      Data-Driven Decisions with Power BI

      Skills you'll gain: Power BI, Dashboard, Data Import/Export, Data Transformation, Data Analysis, Data Cleansing, Data Presentation, Data Modeling, Data Visualization Software, Business Intelligence Software, Interactive Data Visualization, Data-Driven Decision-Making, Data Sharing, Data Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      262 reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Confronting Gender Based Violence: Global Lessons for Healthcare Workers

      Skills you'll gain: Health Care, Trauma Care, Patient Safety, Mental and Behavioral Health, Crisis Intervention, Epidemiology, Health Assessment, Public Health and Disease Prevention, Obstetrics And Gynecology, Community Health, Healthcare Ethics, Health Technology, Health Policy, Medical Privacy, Patient Education And Counseling, Data Collection

      4.8
      Rating, 4.8 out of 5 stars
      ·
      279 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Developing Applications with Google Cloud 日本語版

      Skills you'll gain: Application Deployment, Cloud Infrastructure, Google Cloud Platform, Cloud Applications, Kubernetes, Cloud Development, Infrastructure As A Service (IaaS), Identity and Access Management, Cloud Computing, Containerization, Cloud API, Application Development, Network Infrastructure, Performance Tuning, Authentications, Serverless Computing, Cloud Storage, Data Storage, Debugging, Virtual Machines

      4.5
      Rating, 4.5 out of 5 stars
      ·
      732 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Gen AI Foundational Models for NLP & Language Understanding

      Skills you'll gain: Generative AI, Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Text Mining, Feature Engineering, Machine Learning Methods

      4.4
      Rating, 4.4 out of 5 stars
      ·
      112 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      IT-підтримка від Google

      Skills you'll gain: TCP/IP, Systems Administration, Network Troubleshooting, IT Infrastructure, File Systems, OSI Models, Cybersecurity, Network Security, Network Protocols, Microsoft Windows, Operating Systems, Lightweight Directory Access Protocols, Data Security, Linux, Server Administration, Encryption, Technical Support, Computer Hardware, Computer Networking, Information Technology

      4.9
      Rating, 4.9 out of 5 stars
      ·
      993 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

      3.7
      Rating, 3.7 out of 5 stars
      ·
      338 reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Microsoft

      Microsoft Power Platform Fundamentals

      Skills you'll gain: Microsoft Power Platform, Power BI, Microsoft Power Automate/Flow, Dashboard, Data Visualization, Business Process Automation, Business Intelligence, Workflow Management, Application Development, ChatGPT, Data Analysis Software, Customer Engagement

      4.3
      Rating, 4.3 out of 5 stars
      ·
      152 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Exploring and Producing Data for Business Decision Making

      Skills you'll gain: Descriptive Statistics, Sampling (Statistics), Probability Distribution, Business Analytics, Statistics, Microsoft Excel, Analytics, Statistical Inference, Data Analysis, Exploratory Data Analysis, Probability & Statistics, Statistical Analysis, Histogram, Data Collection, Data Presentation, Graphing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad de los Andes

      Ciberseguridad

      Skills you'll gain: IT Security Architecture, Computer Security Incident Management, Network Security, Incident Response, Cryptography, Security Requirements Analysis, Penetration Testing, Information Systems Security, Human Factors (Security), Cybersecurity, Threat Detection, Cloud Security, Vulnerability Assessments, Threat Modeling, Encryption, Cyber Security Strategy, Vulnerability Management, Cyber Security Assessment, Risk Management Framework, Data Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      446 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Introduction to Accounting Data Analytics and Visualization

      Skills you'll gain: Tableau Software, Data Visualization Software, Excel Macros, Analytics, Analytical Skills, Pivot Tables And Charts, Accounting Systems, Business Analytics, Microsoft Excel, Spreadsheet Software, Data-Driven Decision-Making, Data Analysis, Regression Analysis

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      442 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      First Principles of Computer Vision

      Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Dimensionality Reduction, 3D Modeling, Photography, Artificial Neural Networks, Virtual Reality, Medical Imaging, Visualization (Computer Graphics), Color Theory, Unsupervised Learning, Deep Learning, Graph Theory, Automation Engineering, Mathematical Modeling, Machine Learning Algorithms, Estimation, Electronic Components, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      214 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Security in Google Cloud 日本語版

      Skills you'll gain: Cloud Infrastructure, Google Cloud Platform, Identity and Access Management, Distributed Denial-Of-Service (DDoS) Attacks, Kubernetes, Infrastructure As A Service (IaaS), Cloud Applications, Cloud Security, Containerization, Data Loss Prevention, Cloud Storage, Network Infrastructure, Security Management, Cloud Computing, Encryption, Application Deployment, Malware Protection, Virtual Private Networks (VPN), Application Security, Continuous Monitoring

      4.5
      Rating, 4.5 out of 5 stars
      ·
      707 reviews

      Intermediate · Specialization · 3 - 6 Months

    Big Data learners also search

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    1…116117118…604

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

    • Data-Driven Decisions with Power BI: Knowledge Accelerators
    • Confronting Gender Based Violence: Global Lessons for Healthcare Workers: Johns Hopkins University
    • Developing Applications with Google Cloud 日本語版: Google Cloud
    • Gen AI Foundational Models for NLP & Language Understanding: IBM
    • IT-підтримка від Google: Google
    • Fundamentals of Machine Learning in Finance: New York University
    • Microsoft Power Platform Fundamentals: Microsoft
    • Exploring and Producing Data for Business Decision Making: University of Illinois Urbana-Champaign
    • Ciberseguridad: Universidad de los Andes
    • Introduction to Accounting Data Analytics and Visualization: University of Illinois Urbana-Champaign

    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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