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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

    • T

      Technical University of Munich (TUM)

      Strategic Supply Chain Management in Turbulent Times

      Skills you'll gain: Supply Chain Management, Supply Chain, Inventory Management System, Supply Chain Planning, Transportation, Supply Chain, and Logistics, Supplier Management, Logistics, Business Metrics, Operational Performance Management, Cost Reduction, Performance Measurement, Business Technologies, Forecasting, Demand Planning, Service Level, Competitive Analysis, Risk Analysis, Financial Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Developing Machine Learning Solutions

      Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Cloud Management, Machine Learning, Applied Machine Learning, Cloud Development, Predictive Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      52 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Elasticsearch 8 and the Elastic Stack: In-Depth and Hands-On

      Skills you'll gain: Kibana, Data Import/Export, Restful API, Data Mapping, Data Visualization Software, Data Integration, Query Languages, Time Series Analysis and Forecasting, Dashboard, Data Management, Apache Kafka, Histogram, Data Structures, NoSQL, Performance Tuning, Software Installation, Amazon Web Services, Security Information and Event Management (SIEM), System Monitoring, Data Maintenance

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Infosec

      OWASP Top 10 - 2021

      Skills you'll gain: Open Web Application Security Project (OWASP), Authentications, Vulnerability Assessments, Application Security, Vulnerability Management, Event Monitoring, Secure Coding, Data Integrity, Continuous Monitoring, Security Controls, Security Testing, Cybersecurity, Patch Management, Authorization (Computing), Cryptography, System Configuration, Encryption, Software Design, SQL

      4.5
      Rating, 4.5 out of 5 stars
      ·
      117 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Art and Science of Machine Learning en Español

      Skills you'll gain: Tensorflow, Performance Tuning, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Supervised Learning, Machine Learning, Machine Learning Algorithms, Regression Analysis, Google Cloud Platform

      4.7
      Rating, 4.7 out of 5 stars
      ·
      51 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of London

      Responsive Website Development and Design Capstone

      Skills you'll gain: User Experience Design, Wireframing, Persona (User Experience), Ideation, Technical Communication, Prototyping, Web Development, User Research, Software Development Life Cycle, Usability Testing, Web Design, Application Development, Responsive Web Design, Version Control, Brainstorming, Application Programming Interface (API)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      65 reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Foundations of Digital Marketing

      Skills you'll gain: Search Engine Marketing, Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Web Analytics, Web Analytics and SEO, Online Advertising, Data Presentation, Data Visualization, Analytics, Digital Marketing, Keyword Research, Apache Hadoop, Data-Driven Decision-Making, Digital Advertising, Return On Investment, A/B Testing, Advertising, Marketing Automation, Marketing Strategies

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      BIM Coordination

      Skills you'll gain: Design Reviews, Autodesk Revit, Building Information Modeling, Visualization (Computer Graphics), Augmented and Virtual Reality (AR/VR), Engineering Analysis, Architectural Engineering, Structural Engineering, Construction Management, Construction, Technical Standard

      4.8
      Rating, 4.8 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      ARM Cortex (STM32) Fundamentals: Building Embedded Systems

      Skills you'll gain: Embedded Systems, Embedded Software, C (Programming Language), Programming Principles, Hardware Architecture, Computer Architecture, Debugging, Peripheral Devices

      4.6
      Rating, 4.6 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Wrangling with Python

      Skills you'll gain: Matplotlib, Web Scraping, Pivot Tables And Charts, Pandas (Python Package), Data Integration, Seaborn, Data Manipulation, Exploratory Data Analysis, Data Wrangling, Data Visualization, Data-Driven Decision-Making, Data Transformation, Data Processing, NumPy, Data Presentation, Plot (Graphics), Data Visualization Software, Descriptive Statistics, Data Cleansing, Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      ·
      28 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      P

      Packt

      The Complete LangChain & LLMs Guide

      Skills you'll gain: Prompt Engineering, Large Language Modeling, OpenAI, Development Environment, Generative AI, Artificial Intelligence, Natural Language Processing, Document Management, Program Development, Computer Programming Tools, Application Development, Semantic Web, JSON, Image Analysis, User Interface (UI)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      N

      Northeastern University

      Business Application of Machine Learning and Artificial Intelligence in Healthcare

      Skills you'll gain: Health Informatics, Decision Support Systems, Business Intelligence, Business Analytics, Business Process Automation, Predictive Analytics, Data-Driven Decision-Making, Customer experience strategy (CX), Advanced Analytics, Artificial Intelligence and Machine Learning (AI/ML), Process Analysis, Predictive Modeling, Applied Machine Learning, Healthcare Industry Knowledge, Emerging Technologies

      4.4
      Rating, 4.4 out of 5 stars
      ·
      81 reviews

      Intermediate · Course · 1 - 4 Weeks

    Big Data learners also search

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    1…302303304…606

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

    • Strategic Supply Chain Management in Turbulent Times: Technical University of Munich (TUM)
    • Developing Machine Learning Solutions: Amazon Web Services
    • Elasticsearch 8 and the Elastic Stack: In-Depth and Hands-On: Packt
    • OWASP Top 10 - 2021: Infosec
    • Art and Science of Machine Learning en Español: Google Cloud
    • Responsive Website Development and Design Capstone : University of London
    • Foundations of Digital Marketing: University of Maryland, College Park
    • BIM Coordination: L&T EduTech
    • ARM Cortex (STM32) Fundamentals: Building Embedded Systems: EDUCBA
    • Data Wrangling with Python: University of Colorado Boulder

    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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