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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

    • Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of R Programming and Basic Data Manipulation

      Skills you'll gain: Rmarkdown, Data Import/Export, R Programming, Data Manipulation, Data Visualization, Web Scraping, Ggplot2, Plotly, Programming Principles, Tidyverse (R Package), Data Visualization Software, Data Wrangling, Data Cleansing, Statistical Programming, Data Transformation, Data Structures, Scripting Languages, Scripting, Development Environment

      Beginner · Course · 1 - 3 Months

    • T

      The Hong Kong University of Science and Technology

      Social Science Approaches to the Study of Chinese Society Part 2

      Skills you'll gain: Research Design, Social Sciences, Research, Surveys, Qualitative Research, Statistical Analysis, Data Collection, Higher Education, Correlation Analysis, Sample Size Determination, Ethical Standards And Conduct, Probability & Statistics, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universiteit Leiden

      Mind of the Universe - Genetic Privacy: should we be concerned?

      Skills you'll gain: Policy Development, Policy Analysis, Information Privacy, Healthcare Ethics, Medical Privacy, Cultural Diversity, Liberal Arts, Ethical Standards And Conduct, Healthcare Industry Knowledge, Law, Regulation, and Compliance

      4.1
      Rating, 4.1 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Design Strategies for Maximizing Total Data Quality

      Skills you'll gain: Data Quality, Data Integrity, Data Validation, Quality Assurance, Data Collection, Data Processing, Data Analysis, Data Access, Sampling (Statistics), Statistical Methods

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      CertNexus

      Finalize a Data Science Project

      Skills you'll gain: Applied Machine Learning, Machine Learning, Stakeholder Engagement, Data Presentation, Stakeholder Communications, MLOps (Machine Learning Operations), Web Applications, Project Closure, Data-Driven Decision-Making, Solution Delivery, Data Pipelines, Automation

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      Tecnológico de Monterrey

      Competencias en Telesalud para el profesional de la salud

      Skills you'll gain: Telehealth, Health Technology, Patient Education And Counseling, Medical Privacy, Health Care, Telecommunications, Patient Safety, Health Informatics, Health Administration, Chronic Diseases, Data Security

      4.4
      Rating, 4.4 out of 5 stars
      ·
      33 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Use SharePoint & Power Virtual Agent to Create Smart Chatbot

      Skills you'll gain: Microsoft Power Platform, Microsoft Power Automate/Flow, Microsoft Teams, Microsoft 365, Automation, Internal Communications, Artificial Intelligence

      4.5
      Rating, 4.5 out of 5 stars
      ·
      19 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Analysis with Python Project

      Skills you'll gain: Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Regression Analysis, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Exploratory Data Analysis, Statistical Methods

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Regression Analysis

      Skills you'll gain: Regression Analysis, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Feature Engineering, Exploratory Data Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Introduction to Ethical Hacking

      Skills you'll gain: Penetration Testing, MITRE ATT&CK Framework, Open Web Application Security Project (OWASP), Public Key Infrastructure, Cyber Threat Intelligence, Threat Modeling, Cybersecurity, Distributed Denial-Of-Service (DDoS) Attacks, Cryptography, Mobile Security, Security Testing, Application Security, Vulnerability Scanning, Vulnerability Assessments, Network Security, Operating Systems, Encryption, Web Applications, Malware Protection, Wireless Networks

      3.4
      Rating, 3.4 out of 5 stars
      ·
      12 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Generative AI Foundations

      Skills you'll gain: Generative AI, ChatGPT, Large Language Modeling, Prompt Engineering, Data Ethics, Deep Learning, Natural Language Processing, Artificial Neural Networks, Python Programming, Unsupervised Learning

      4
      Rating, 4 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Introduction to Java and Programming Basics

      Skills you'll gain: Eclipse (Software), Integrated Development Environments, Java Programming, Java, Development Environment, Software Installation, Programming Principles, Computer Programming, Object Oriented Programming (OOP), Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

    Big Data learners also search

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    1…349350351…610

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

    • Foundations of R Programming and Basic Data Manipulation: Packt
    • Social Science Approaches to the Study of Chinese Society Part 2: The Hong Kong University of Science and Technology
    • Mind of the Universe - Genetic Privacy: should we be concerned?: Universiteit Leiden
    • Design Strategies for Maximizing Total Data Quality: University of Michigan
    • Finalize a Data Science Project: CertNexus
    • Competencias en Telesalud para el profesional de la salud: Tecnológico de Monterrey
    • Use SharePoint & Power Virtual Agent to Create Smart Chatbot: Coursera Project Network
    • Data Analysis with Python Project : University of Colorado Boulder
    • Regression Analysis: University of Colorado Boulder
    • Introduction to Ethical Hacking: Johns Hopkins 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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